<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy.jpg" class="attachment-large size-large wp-post-image" alt="Your Schema Says One Thing. Google&#039;s NLP Sees Another. That Gap Is Your Content Strategy" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-1200x675.jpg 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>See how to audit entity recognition, uncover competitor advantages, and strengthen your brand's visibility. Join us for the next SMX Now.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy.jpg" class="attachment-large size-large wp-post-image" alt="Your Schema Says One Thing. Google&#039;s NLP Sees Another. That Gap Is Your Content Strategy" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2026/09/smx-now-schema-google-nlp-content-strategy-1200x675.jpg 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Your schema tells search engines what your brand is. But that doesn’t mean Google’s systems understand it the same way.</p>



<p class="wp-block-paragraph">That gap can reveal where your content strategy is falling short.</p>



<p class="wp-block-paragraph">Our next <strong>SMX Now</strong> on Sept. 16 at 1 p.m. ET will feature Ray Martinez, VP of SEO at Archer Education. He’ll show you how to measure the difference between the entities you define and the ones Google’s natural language processing (NLP) actually recognizes.</p>



<p class="wp-block-paragraph">You’ll learn how to build an entity audit using schema.org markup, the Google Cloud Natural Language API, and an agentic coding tool such as Antigravity, Claude Code, or Codex. The process turns your existing schema into a queryable knowledge graph, then compares it with competitor content to uncover topics they cover, gaps they miss, and entities Google doesn’t yet connect with your brand.</p>



<p class="wp-block-paragraph">Martinez will also show you how to turn those findings into action. You’ll learn how to create content around under-recognized entities, strengthen those connections with structured data and internal data, and make your pages more retrievable and citable across search and AI engines.</p>



<p class="wp-block-paragraph">You’ll leave with a repeatable way to measure discoverability, find content opportunities, and track whether Google and AI systems are getting better at understanding what your brand actually does.</p>



<p class="wp-block-paragraph"><strong><a href="https://www.bigmarker.com/third-door-media/your-schema-says-one-thing-google-s-nlp-sees-another-that-gap-is-your-content-strategy?utm_bmcr_source=SMXNow">Save your spot</a></strong>



<p class="wp-block-paragraph">


Your schema tells search engines what your brand is. But that doesn’t mean Google’s systems understand it the same way.
That gap can reveal where your content strategy is falling short.
Our next SMX Now on Sept. 16 at 1 p.m. ET will feature Ray Martinez, VP of SEO at Archer Education. He’ll show you how to measure the difference between the entities you define and the ones Google’s natural language processing (NLP) actually recognizes.
You’ll learn how to build an entity audit using schema.org markup, the Google Cloud Natural Language API, and an agentic coding tool such as Antigravity, Claude Code, or Codex. The process turns your existing schema into a queryable knowledge graph, then compares it with competitor content to uncover topics they cover, gaps they miss, and entities Google doesn’t yet connect with your brand.
Martinez will also show you how to turn those findings into action. You’ll learn how to create content around under-recognized entities, strengthen those connections with structured data and internal data, and make your pages more retrievable and citable across search and AI engines.
You’ll leave with a repeatable way to measure discoverability, find content opportunities, and track whether Google and AI systems are getting better at understanding what your brand actually does.
Save your spot

See how to audit entity recognition, uncover competitor advantages, and strengthen your brand's visibility. Join us for the next SMX Now.

SMX Now: Find the entity gaps holding back your content strategy

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls.png" class="attachment-large size-large wp-post-image" alt="The SEO warning signs that appear before organic traffic falls" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>A healthy traffic graph can mask lost commercial visibility. Find the signals hiding in your rankings, queries, landing pages, and leads.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls.png" class="attachment-large size-large wp-post-image" alt="The SEO warning signs that appear before organic traffic falls" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/The-SEO-warning-signs-that-appear-before-organic-traffic-falls-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">A significant drop in <a href="https://searchengineland.com/organic-traffic-worth-tracking-478451">organic traffic</a> is easy to spot. The harder part is recognizing when performance is weakening before that drop appears in a monthly report.</p>



<p class="wp-block-paragraph">Organic performance rarely deteriorates without leaving clues. A commercially important page might start slipping for a handful of searches. Google may switch between URLs for queries that previously had a clear ranking page. Impressions can increase while clicks level off. Overall traffic can even look healthy while fewer visitors reach the pages responsible for leads and sales.</p>



<p class="wp-block-paragraph">None of these changes necessarily looks serious on its own. A five-position drop across a handful of high-intent searches can matter more commercially than hundreds of new low-value rankings, yet those rankings can make the report look positive.</p>



<p class="wp-block-paragraph"><a href="https://searchengineland.com/guide/seo-reporting">SEO reporting</a> tells you what changed. <a href="https://searchengineland.com/guide/how-to-interpret-seo-data">SEO analysis</a> should explain whether it matters and why.</p>



<p class="wp-block-paragraph">By the time the main traffic graph turns red, the useful warning may already be months old.</p>



<h2 id="h-stable-rankings-can-hide-an-unstable-page" class="wp-block-heading">Stable rankings can hide an unstable page</h2>



<p class="wp-block-paragraph">A keyword might have remained around Position 4 for several months. On the surface, there’s nothing particularly concerning about that. Look at the ranking URL over the same period, however, and a different picture emerges.</p>



<p class="wp-block-paragraph">Consider an accountancy firm with a dedicated R&amp;D tax relief service page. The page has historically ranked for commercially important searches and has been built around somebody considering professional help.</p>



<p class="wp-block-paragraph">Google then starts ranking an older R&amp;D guide instead. A few weeks later, the service page returns. Then the guide replaces it again.</p>



<p class="wp-block-paragraph">The position itself may barely change, so a standard ranking report can make performance appear stable. What isn’t stable is Google’s choice of page.</p>



<p class="wp-block-paragraph">There may be too much overlap between the guide and service page. Internal linking may not make their purposes clear enough. The service page may have fallen behind competing results, or the search intent itself may have shifted.</p>



<p class="wp-block-paragraph">There’s a commercial issue, too. Someone arriving on a service page designed to demonstrate expertise and generate an inquiry has a different journey from somebody landing on an old informational guide.</p>



<p class="wp-block-paragraph">For important searches, watch the URL as closely as the position. If Google repeatedly changes its mind about which page should rank, find out why.</p>


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<h2 id="h-rising-impressions-don-t-always-mean-better-performance" class="wp-block-heading">Rising impressions don&#8217;t always mean better performance</h2>



<p class="wp-block-paragraph">An ecommerce business might see impressions increase by 40% year over year. Presented without context, that can easily become the headline in an SEO report.</p>



<p class="wp-block-paragraph">If clicks have increased by only 4%, the picture is less straightforward.</p>



<p class="wp-block-paragraph">Take a company selling commercial coffee machines. The site begins to appear much more frequently in searches for cleaning machines, fault-finding, and general maintenance. Those searches generate thousands of additional impressions.</p>



<p class="wp-block-paragraph">At the same time, clicks for terms related to commercial coffee machines, office coffee machines, and other important product categories begin to decline.</p>



<p class="wp-block-paragraph">The top-level Search Console graph can still look encouraging because informational visibility is masking the decline in commercial searches. Separate those two types of visibility to see what’s really happening.</p>



<p class="wp-block-paragraph">Look at the queries responsible for the increase and the pages receiving those impressions. A business selling expensive commercial equipment should care more about losing visibility among people comparing machines than gaining thousands of impressions from people trying to descale one they already own.</p>



<p class="wp-block-paragraph">Both have value. They don&#8217;t have the same commercial value.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/make-seo-strategy-more-commercially-aware-481779">How to make your SEO strategy more commercially aware</a></em></strong>



<h2 id="h-look-at-why-competitors-deserve-the-ranking" class="wp-block-heading">Look at why competitors deserve the ranking</h2>



<p class="wp-block-paragraph">Competitor analysis can become too dependent on tools.</p>



<p class="wp-block-paragraph">A competitor ranks for 5,000 keywords. Your site ranks for 3,000. A gap analysis produces 2,000 terms, and the conclusion is that more content needs to be created.</p>



<p class="wp-block-paragraph">Sometimes it does. But keyword counts don&#8217;t explain why one business is becoming a stronger search result than another.</p>



<p class="wp-block-paragraph">Take two industrial flooring companies competing for warehouse flooring searches.</p>



<ul class="wp-block-list">
<li>The first has a perfectly reasonable service page. It explains the available flooring types, talks about durability, and provides a way to request a quote.</li>



<li>The competing page answers the questions a facilities manager is likely to have before making contact: Can the warehouse stay open during installation? How long before forklifts can use the floor? What happens if the existing concrete is damaged? Which flooring system works best for heavy traffic? It also shows previous installations and what was involved.</li>
</ul>



<p class="wp-block-paragraph">The difference isn&#8217;t simply word count or keyword coverage. One page makes it easier for a potential customer to assess the supplier.</p>



<p class="wp-block-paragraph">When a competitor starts gaining ground, ask what their page helps the customer understand, verify, or decide that yours doesn&#8217;t. That often exposes the real content gap much faster than another keyword export.</p>



<h2 id="h-successful-pages-can-become-weaker-without-changing" class="wp-block-heading">Successful pages can become weaker without changing</h2>



<p class="wp-block-paragraph">There’s an understandable reluctance to interfere with pages that rank well. A service page ranks in the top three positions, driving relevant traffic and generating inquiries. Nobody wants to make unnecessary changes and discover a month later that performance has fallen.</p>



<p class="wp-block-paragraph">Leaving a page untouched is still a decision. A page can become relatively weaker without becoming objectively worse.</p>



<p class="wp-block-paragraph">Imagine a service page that was one of the best results in its market three years ago. The page hasn&#8217;t changed, but competitors have added better case studies, answered more specific questions, improved photographs, explained costs, and provided stronger evidence.</p>



<p class="wp-block-paragraph">The original page hasn&#8217;t deteriorated. The standard around it has improved.</p>



<p class="wp-block-paragraph">Reviewing successful pages doesn&#8217;t mean rewriting them every few months. It means checking whether they&#8217;re still as useful and convincing as the pages competing against them.</p>



<p class="wp-block-paragraph">Customer conversations are particularly useful here. If prospects regularly ask how long something takes, explain it. If they worry about disruption, address it. If the business has completed stronger projects since the page was written, show them.</p>



<p class="wp-block-paragraph">The questions people ask before buying are often better content prompts than another keyword export. SEO isn&#8217;t only about finding new opportunities. Some of the most valuable work is protecting the visibility that&#8217;s already making money.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/guide/new-seo-kpis">New SEO KPIs you’re missing: How to measure SEO beyond clicks</a></em></strong>



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<h2 id="h-traffic-growth-can-hide-commercial-decline" class="wp-block-heading">Traffic growth can hide commercial decline</h2>



<p class="wp-block-paragraph">One of the easiest mistakes in SEO reporting is assuming that more organic traffic means better organic performance.</p>



<p class="wp-block-paragraph">Consider a solicitor&#8217;s website where organic traffic has increased by 22% year over year. At first glance, SEO appears to be performing strongly.</p>



<p class="wp-block-paragraph">When the landing pages are separated, most of the increase comes from three informational articles. One broad employment law article has started attracting several thousand visits each month.</p>



<p class="wp-block-paragraph">The service pages tell a different story. Clicks to the main employment law page have fallen. Visibility around settlement agreements is weaker. Searches from people actively looking for an employment solicitor are producing fewer visits.</p>



<p class="wp-block-paragraph">The website has more organic traffic than it did a year ago. It may also be receiving fewer commercially valuable visits.</p>



<p class="wp-block-paragraph">Informational traffic isn&#8217;t worthless. It can introduce people to a business and demonstrate expertise. But it shouldn&#8217;t obscure what&#8217;s happening elsewhere.</p>



<p class="wp-block-paragraph">For lead generation sites, separate service page performance from advice content. For ecommerce, look at category and product performance alongside editorial traffic.</p>



<p class="wp-block-paragraph">The more complicated a website becomes, the less useful one overall organic traffic number becomes.</p>



<h2 id="h-when-leads-fall-before-traffic-investigate-the-traffic" class="wp-block-heading">When leads fall before traffic, investigate the traffic</h2>



<p class="wp-block-paragraph">A fall in organic leads with relatively stable traffic is often treated as a conversion issue. It might be. But look at the search data before reaching that conclusion.</p>



<p class="wp-block-paragraph">Suppose organic sessions are down 1%, while inquiries from organic landing pages have fallen 25%. Start with the query mix.</p>



<p class="wp-block-paragraph">A handful of high-intent terms may have slipped from Positions 2 and 3 to Positions 5 and 6. Across an entire website, those movements may barely affect an average ranking metric. For the business, they can matter considerably.</p>



<p class="wp-block-paragraph">Traffic composition may also have changed. The site might have gained informational visits while losing people searching directly for its services. Google may be sending users to different landing pages, or one location or service could be responsible for most of the decline.</p>



<p class="wp-block-paragraph">Then speak to the people handling the inquiries.</p>



<ul class="wp-block-list">
<li>Has lead quality changed? </li>



<li>Are prospects asking different questions? </li>



<li>Has price become more important? </li>



<li>Has a competitor introduced an offer that changes what customers expect?</li>
</ul>



<p class="wp-block-paragraph">SEO data can tell you what people searched for and where they landed. It can&#8217;t tell you everything that happened afterward.</p>



<p class="wp-block-paragraph">When leads fall, focus on understanding what changed rather than establishing whether SEO is to blame.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/the-dark-seo-funnel-why-traffic-no-longer-proves-seo-success-470334">The dark SEO funnel: Why traffic no longer proves SEO success</a></em></strong>


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<h2 id="h-look-for-where-the-numbers-stop-agreeing" class="wp-block-heading">Look for where the numbers stop agreeing</h2>



<p class="wp-block-paragraph">Rankings can remain stable while the wrong page starts ranking. Impressions can grow while commercially valuable clicks decline. Traffic can increase while service pages lose visitors. Leads can fall while sitewide traffic barely changes.</p>



<p class="wp-block-paragraph">Individually, each metric can tell a positive story. The interesting part is what happens when they&#8217;re compared.</p>



<p class="wp-block-paragraph">If impressions are rising but clicks aren&#8217;t, find out where the additional impressions are coming from. If traffic is growing but inquiries aren&#8217;t, separate the pages and queries generating that growth. If rankings are stable but Google keeps changing the URL, investigate why.</p>



<p class="wp-block-paragraph">And if the numbers in the SEO report look healthy while the business says otherwise, don&#8217;t dismiss the business. Investigate the difference.</p>



<p class="wp-block-paragraph">Good SEO analysis isn&#8217;t about finding a green number to put in a report. It&#8217;s about understanding how rankings, queries, pages, traffic, and commercial results relate to each other.</p>



<p class="wp-block-paragraph">By the time organic traffic falls sharply, you&#8217;re investigating what has already happened. The real opportunity is spotting the problem while the headline numbers still look fine.</p>

A significant drop in organic traffic is easy to spot. The harder part is recognizing when performance is weakening before that drop appears in a monthly report.
Organic performance rarely deteriorates without leaving clues. A commercially important page might start slipping for a handful of searches. Google may switch between URLs for queries that previously had a clear ranking page. Impressions can increase while clicks level off. Overall traffic can even look healthy while fewer visitors reach the pages responsible for leads and sales.
None of these changes necessarily looks serious on its own. A five-position drop across a handful of high-intent searches can matter more commercially than hundreds of new low-value rankings, yet those rankings can make the report look positive.
SEO reporting tells you what changed. SEO analysis should explain whether it matters and why.
By the time the main traffic graph turns red, the useful warning may already be months old.
Stable rankings can hide an unstable page
A keyword might have remained around Position 4 for several months. On the surface, there’s nothing particularly concerning about that. Look at the ranking URL over the same period, however, and a different picture emerges.
Consider an accountancy firm with a dedicated R&D tax relief service page. The page has historically ranked for commercially important searches and has been built around somebody considering professional help.
Google then starts ranking an older R&D guide instead. A few weeks later, the service page returns. Then the guide replaces it again.
The position itself may barely change, so a standard ranking report can make performance appear stable. What isn’t stable is Google’s choice of page.
There may be too much overlap between the guide and service page. Internal linking may not make their purposes clear enough. The service page may have fallen behind competing results, or the search intent itself may have shifted.
There’s a commercial issue, too. Someone arriving on a service page designed to demonstrate expertise and generate an inquiry has a different journey from somebody landing on an old informational guide.
For important searches, watch the URL as closely as the position. If Google repeatedly changes its mind about which page should rank, find out why.
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Rising impressions don’t always mean better performance
An ecommerce business might see impressions increase by 40% year over year. Presented without context, that can easily become the headline in an SEO report.
If clicks have increased by only 4%, the picture is less straightforward.
Take a company selling commercial coffee machines. The site begins to appear much more frequently in searches for cleaning machines, fault-finding, and general maintenance. Those searches generate thousands of additional impressions.
At the same time, clicks for terms related to commercial coffee machines, office coffee machines, and other important product categories begin to decline.
The top-level Search Console graph can still look encouraging because informational visibility is masking the decline in commercial searches. Separate those two types of visibility to see what’s really happening.
Look at the queries responsible for the increase and the pages receiving those impressions. A business selling expensive commercial equipment should care more about losing visibility among people comparing machines than gaining thousands of impressions from people trying to descale one they already own.
Both have value. They don’t have the same commercial value.
Dig deeper: How to make your SEO strategy more commercially aware



Look at why competitors deserve the ranking
Competitor analysis can become too dependent on tools.
A competitor ranks for 5,000 keywords. Your site ranks for 3,000. A gap analysis produces 2,000 terms, and the conclusion is that more content needs to be created.
Sometimes it does. But keyword counts don’t explain why one business is becoming a stronger search result than another.
Take two industrial flooring companies competing for warehouse flooring searches.
The first has a perfectly reasonable service page. It explains the available flooring types, talks about durability, and provides a way to request a quote.
The competing page answers the questions a facilities manager is likely to have before making contact: Can the warehouse stay open during installation? How long before forklifts can use the floor? What happens if the existing concrete is damaged? Which flooring system works best for heavy traffic? It also shows previous installations and what was involved.
The difference isn’t simply word count or keyword coverage. One page makes it easier for a potential customer to assess the supplier.
When a competitor starts gaining ground, ask what their page helps the customer understand, verify, or decide that yours doesn’t. That often exposes the real content gap much faster than another keyword export.
Successful pages can become weaker without changing
There’s an understandable reluctance to interfere with pages that rank well. A service page ranks in the top three positions, driving relevant traffic and generating inquiries. Nobody wants to make unnecessary changes and discover a month later that performance has fallen.
Leaving a page untouched is still a decision. A page can become relatively weaker without becoming objectively worse.
Imagine a service page that was one of the best results in its market three years ago. The page hasn’t changed, but competitors have added better case studies, answered more specific questions, improved photographs, explained costs, and provided stronger evidence.
The original page hasn’t deteriorated. The standard around it has improved.
Reviewing successful pages doesn’t mean rewriting them every few months. It means checking whether they’re still as useful and convincing as the pages competing against them.
Customer conversations are particularly useful here. If prospects regularly ask how long something takes, explain it. If they worry about disruption, address it. If the business has completed stronger projects since the page was written, show them.
The questions people ask before buying are often better content prompts than another keyword export. SEO isn’t only about finding new opportunities. Some of the most valuable work is protecting the visibility that’s already making money.
Dig deeper: New SEO KPIs you’re missing: How to measure SEO beyond clicks




	
	
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See terms.
		
Traffic growth can hide commercial decline
One of the easiest mistakes in SEO reporting is assuming that more organic traffic means better organic performance.
Consider a solicitor’s website where organic traffic has increased by 22% year over year. At first glance, SEO appears to be performing strongly.
When the landing pages are separated, most of the increase comes from three informational articles. One broad employment law article has started attracting several thousand visits each month.
The service pages tell a different story. Clicks to the main employment law page have fallen. Visibility around settlement agreements is weaker. Searches from people actively looking for an employment solicitor are producing fewer visits.
The website has more organic traffic than it did a year ago. It may also be receiving fewer commercially valuable visits.
Informational traffic isn’t worthless. It can introduce people to a business and demonstrate expertise. But it shouldn’t obscure what’s happening elsewhere.
For lead generation sites, separate service page performance from advice content. For ecommerce, look at category and product performance alongside editorial traffic.
The more complicated a website becomes, the less useful one overall organic traffic number becomes.
When leads fall before traffic, investigate the traffic
A fall in organic leads with relatively stable traffic is often treated as a conversion issue. It might be. But look at the search data before reaching that conclusion.
Suppose organic sessions are down 1%, while inquiries from organic landing pages have fallen 25%. Start with the query mix.
A handful of high-intent terms may have slipped from Positions 2 and 3 to Positions 5 and 6. Across an entire website, those movements may barely affect an average ranking metric. For the business, they can matter considerably.
Traffic composition may also have changed. The site might have gained informational visits while losing people searching directly for its services. Google may be sending users to different landing pages, or one location or service could be responsible for most of the decline.
Then speak to the people handling the inquiries.
Has lead quality changed? 
Are prospects asking different questions? 
Has price become more important? 
Has a competitor introduced an offer that changes what customers expect?
SEO data can tell you what people searched for and where they landed. It can’t tell you everything that happened afterward.
When leads fall, focus on understanding what changed rather than establishing whether SEO is to blame.
Dig deeper: The dark SEO funnel: Why traffic no longer proves SEO success



  
before your competitors.
      
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Look for where the numbers stop agreeing
Rankings can remain stable while the wrong page starts ranking. Impressions can grow while commercially valuable clicks decline. Traffic can increase while service pages lose visitors. Leads can fall while sitewide traffic barely changes.
Individually, each metric can tell a positive story. The interesting part is what happens when they’re compared.
If impressions are rising but clicks aren’t, find out where the additional impressions are coming from. If traffic is growing but inquiries aren’t, separate the pages and queries generating that growth. If rankings are stable but Google keeps changing the URL, investigate why.
And if the numbers in the SEO report look healthy while the business says otherwise, don’t dismiss the business. Investigate the difference.
Good SEO analysis isn’t about finding a green number to put in a report. It’s about understanding how rankings, queries, pages, traffic, and commercial results relate to each other.
By the time organic traffic falls sharply, you’re investigating what has already happened. The real opportunity is spotting the problem while the headline numbers still look fine.

A healthy traffic graph can mask lost commercial visibility. Find the signals hiding in your rankings, queries, landing pages, and leads.

The SEO warning signs before organic traffic falls

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/3-SEO-priorities-to-win-organic-traffic-in-2027.png" class="attachment-large size-large wp-post-image" alt="3 SEO priorities to win organic traffic in 2027" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/3-SEO-priorities-to-win-organic-traffic-in-2027.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/3-SEO-priorities-to-win-organic-traffic-in-2027-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/3-SEO-priorities-to-win-organic-traffic-in-2027-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/3-SEO-priorities-to-win-organic-traffic-in-2027-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Prioritize commercial content, make your best answers easy to extract, and build authority signals for organic and AI search visibility.

Organic search will still drive demand in 2027, but winning that traffic requires more deliberate prioritization. AI answers are intercepting more searches, changing the value of a traditional ranking, and making visibility beyond the blue links increasingly important.
The fundamentals of SEO still matter. What’s changing is where you put your resources and how you define success. Commercial pages may be more valuable than high-volume informational content, while earning a citation in an AI answer can matter alongside earning a traditional ranking.
Three priorities should guide your SEO strategy: allocate content by funnel stage, create deeper and more structured content, and build authority through strategic markup, links, and brand mentions.
1. Funnel-driven content allocation
The most important decision is where you play in the funnel.
AI is affecting the top of the funnel (TOFU) more than other stages. The middle has also lost much of the protection it once had.
Informational queries are overwhelmingly zero-click, and Seer Interactive’s 2026 study puts AI Overview presence at 36% of informational queries, compared with 8% of commercial and 5% of transactional queries. By intent alone, that reads as good news for the middle of the funnel. 
Query format tells a different story: within informational queries, comparison (“X vs. Y”) formats trigger an AI Overview 95.4% of the time, and “best of” formats 81.3%. Those are the formats in which most commercial content is written, even when Google classifies the query as informational.
The allocation logic survives all of this. What has to change is what you count as a win inside it.
One counterweight worth stating plainly, because it runs counter to the doom framing: the 2025 decline didn’t continue. 
Seer’s headline 2026 finding is that organic CTR on AI Overview queries bottomed at 1.3% in December 2025 and rose to 2.4% by February 2026, an 85% rise in two months. Transactional CTR for cited brands roughly doubled over the same period. 
Seer calls this a leveling off rather than a recovery and warns against forecasting from two months of data. Neither should you.
From a SparkToro study:

Funnel stage and query type% of all searches (2024)Zero-click as published (April 2025)Zero-click updated (August 2026)AI Overview presence by intent (Seer, Apr 2026)
TOFU: Informational (“What is X?”, “How to Y?”)52.65%High (U.S. baseline 58.5%, informational skews above it)Very high (U.S. baseline now 68.01%)36%
MOFU: Commercial research (“Best X,” “X vs. Y”)14.51%Moderate (~50—60% zero-click)Rising, and highly format-dependent8% by intent, though comparison-format content is far more exposed (see below)
BOFU: Transactional + navigational (“Buy X online,” “Brand site”)32.84%Low (<20% zero-click)Still lowest, but uncited CTR fell 48% in 20255% (transactional)






Intent averages hide the thing that actually matters, which is how a query is phrased. Within informational queries, Seer found AI Overview rates varying by more than 3x depending on format:

Query format (within informational queries)AI Overview rateOrganic impressions in sample
Comparison (“X vs. Y”)95.4%79,436
Review86.3%21,221
Question (what / why / how)85.9%1,408,843
Price / cost / buy83.4%192,911
Best of81.3%105,279
Near me76.9%188,606
Single word27.3%25,042,440






Read the impressions column alongside the rates. 
Comparison queries hit 95.4%, but on 79,436 impressions in this sample, so the rate is high and the base is small. 
Question-format queries sit lower at 85.9%, but carry 1.4 million impressions, which is where most displaced clicks actually come from.
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Prioritize MOFU and BOFU for traffic and revenue
Every SEO project has limited time and resources, so we must prioritize our efforts strategically. The key question is where to focus — on a select few pages or a vast array?
The answer depends on the specific goal, but typically, the aim is to boost revenue swiftly.
Given these constraints, optimizing for middle-of-the-funnel (MOFU) and bottom-of-the-funnel (BOFU) stages generally yields superior results than top-of-the-funnel for most websites.
“Best X” and “X vs. Y” content has traditionally been a strong way to capture mid-funnel demand. That reasoning needs qualifying. Comparison and “best of” formats are the most heavily intercepted of any Seer measured, so a page written in those formats is exposed regardless of how the underlying query gets classified.
I would still build the pages. Commercial intent behind a query like “best CRM for multi-location operators” hasn’t weakened, and Seer found that pages cited inside an AI Overview earn roughly 120% more clicks per impression than uncited pages on the same results page. 
Worth knowing the ceiling: cited pages still trail no-AI-Overview results by 38%. Citation is the best position available on an AI Overview SERP, not a return to the old baseline.
Ranking in the top three positions for these terms has delivered the biggest bottom-line impact for our clients. That still holds. It just no longer settles the outcome on its own.
To win at MOFU:
Build “best X” and “X vs. Y” content with citation in mind: original data, firsthand testing, clearly named entities, and passages a model can lift without needing the surrounding context.
Treat these pages as hubs, with focused internal linking to signal their importance.
Prioritize link acquisition around these comparison/consideration articles.
Track citations alongside position. If you rank first and the AI Overview cites three competitors, your rank tracker will report a win you didn’t get.
You also want to protect BOFU traffic and conversions. Transactional and navigational queries, such as “YourBrand login,” “product pricing,” or “coupon codes,” have the lowest zero-click rates. These terms often indicate users are ready to buy or engage.
Although search volume is smaller, conversion potential is huge. These queries are the most click-protected ground left, which is reason enough to defend them deliberately rather than assume they’ll hold.
Monitor rankings closely and fine-tune on-page elements for user experience and clarity.
Add clear calls to action and schema for pricing, product, and offer details.
Leverage remarketing to re-engage visitors who don’t convert immediately.
Use TOFU selectively to build topical authority
TOFU still matters for building topical authority, but it comes with trade-offs. 
Informational content can provide branding exposure, strengthen internal linking and site structure, and establish authority by answering core questions under your domain. However, it often requires significant effort for little short-term return, and publishing too much can hurt overall site engagement.
Focus on TOFU when a client needs to fill gaps in its topical coverage, after BOFU and MOFU opportunities have been exhausted. Your main focus should remain on MOFU and BOFU rankings.
Optimize TOFU for on-SERP value
If you target TOFU, you should embrace the reality that the real play is to win the AI Overviews. Traditional featured snippet strategies work well and should be part of your TOFU content.
Start with a one- to two-sentence definition.
Follow with clear lists or tables under H2 headings.
Write self-contained answers under question-formatted headings.
FAQ schema no longer helps here: Google retired FAQ rich results on May 7, 2026, having already restricted them to authoritative government and health sites in August 2023. For most commercial sites, the feature had been invisible for years before it formally ended.
The content pattern still earns extraction. The markup earns nothing.
2. Deep, structured content creation
After choosing your strategic funnel focus, the next step is how you create content. Traditional SEO best practices still apply, but we’ve refined our approach for sustained performance.
Comprehensive, user-centered long-form content
Across our client sites, we’ve watched indexing slow down, and large, undifferentiated blocks of text often fail to get indexed. That makes content depth, structure, and differentiation increasingly important.
This is often misread as a penalty against AI-written content. In November 2025, John Mueller was asked whether replacing AI-generated content with human-written content would help a struggling site. He said he’d focus on the value the site adds to the web, not whether the content was AI-generated, and that rewriting AI content by hand doesn’t make it authentic. The issue isn’t authorship. It’s added value.
Fewer, deeper articles can also give AI systems more to work with. For branded queries, earned media accounted for 48% of citations, commercial brand content 30%, and owned content just 23%, per Omniscient Digital. Comprehensive content that covers a topic end to end gives you more opportunities to establish expertise, earn links, and be cited.
To make your content index-worthy:
Acquire internal and external links to the page.
Include unique graphics or infographics that communicate key concepts.
Embed video demonstrations or explainer clips where relevant.
Structure for readability and machine consumption
Scannability is non-negotiable. Use clear H2 and H3 headings, HTML lists, and tables.
ChatGPT and AI Overviews can lift directly from table markup. The mechanism is extraction. Models pull passages that stand on their own, so a paragraph that only makes sense after reading the two above it is much less likely to be quoted than a table row or a definition-led sentence.
Emphasis on original research and expert insights
With AI churning out rehashed content, unique data and expert commentary can help you set yourself apart.
Google’s 2024 Content Warehouse documentation leak suggested an Original Content Score, which points in the same direction, though a leaked field name isn’t a confirmed ranking factor and shouldn’t be treated as one.
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3. Strategic markup and link authority
Two key elements — schema markup and links — still play an important role in visibility and authority.
Here’s how to use structured data for AI-driven search results and refine your link building strategy to stay ahead.
Schema markup
Schema markup makes content easier for AI crawlers to interpret. Structured data can clarify exactly what your page is about to Google.
Schema used to be a way to win SERP features. Those features are shrinking, and FAQ rich results disappeared entirely on May 7, 2026, with Search Console reporting following in June and API support ending this month. 
Its remaining value sits in machine comprehension for the systems that actually read it, telling engines what entity a page concerns and how that entity relates to others. That last part needs a caveat, because the evidence on whether AI systems read schema at all is worse than most of us assumed.
Prioritize Organization, Product, Article, and entity markup that resolves ambiguity about who you are and what you sell, and spend less time on markup chosen purely to chase a rich result.
What the schema studies actually show
This is worth sitting with before anyone on your team spends another sprint on markup for AI visibility.
Ahrefs tracked 1,885 pages that added JSON-LD between August 2025 and March 2026 and compared them with 4,000 matched control pages. Adding schema produced no major uplift in citations across Google AI Overviews, AI Mode, or ChatGPT. AI Overview citations fell 4.6%, the only statistically significant result. AI Mode rose 2.4%, and ChatGPT rose 2.2%, both within the noise band.
A separate searchVIU experiment tested what five systems — ChatGPT, Claude, Perplexity, Gemini, and Google AI Mode — actually read when fetching a page in real time. All five extracted visible HTML only. JSON-LD, hidden Microdata, and hidden RDFa were ignored during retrieval. 
That doesn’t establish that schema has no role in indexing or other parts of an AI system’s pipeline, but it does challenge the assumption that models simply read schema when they fetch a page.
Cyrus Shepard’s analysis of 54 AI citation studies, experiments, patents, and case studies scored 23 potential citation factors based on the strength and consistency of the evidence. Structured data landed in the middle of the pack, suggesting a modest relationship with AI citations rather than a decisive ranking signal. The analysis also noted that models don’t appear to use schema in a schema-like way.
Google’s own documentation on AI features says there are no additional technical requirements for appearing in AI Overviews or AI Mode, and that you don’t need special schema.org structured data or other machine-readable files to appear in those features. Google does, however, recommend making sure structured data matches the visible text on the page.
Two caveats, because the picture isn’t unanimous. Ahrefs only tested pages that were already heavily cited, so the study measures whether bolting schema onto a visible page lifts it further, not whether schema helps an unknown page get discovered. And Microsoft’s Fabrice Canel said in March 2025 that schema helps Microsoft’s models understand content for Copilot.
Where that leaves schema: Keep it for the Google Search features that still use structured data, for machine-readable accuracy, and where it helps clarify entities and relationships. But stop selling it, internally or to clients, as a proven lever for AI citation. The evidence doesn’t support that claim.
Backlinks: Quality over quantity
Backlinks remain an important signal for Google Search. Google says its link analysis systems, including PageRank, help determine what pages are about and which may be most helpful for a query. 
For AI visibility specifically, though, mentions appear to matter more than links. Branded web mentions correlated 0.664 with AI Overview visibility, compared with 0.218 for backlinks, Ahrefs found. 
A December 2025 follow-up found YouTube mentions had the strongest correlation across AI Overviews, AI Mode, and ChatGPT at about 0.737. Ahrefs is explicit that these are correlations rather than proven causes, and I’d treat them the same way. 
In practice, that puts digital PR, podcast, and video presence, and your footprint on third-party communities into the same budget line as link acquisition.
However, successful link building in 2027 is less about the sheer number of links and more about their quality.
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How to measure any of this
Two recent releases made AI visibility measurable, where before it was largely anecdotal.
GA4 added a native AI Assistant channel in May 2026, classifying referrals from ChatGPT, Gemini, and others. It excludes Perplexity, isn’t retroactive, and misses app traffic that arrives without a referrer.
Search Console launched Generative AI performance reporting in June 2026, showing impressions inside AI Overviews and AI Mode. Impressions only for now, with no click data.
One thing I’d skip is llms.txt. Mueller has compared it to the old keywords meta tag, and Google’s guidance on optimizing for generative AI features says you don’t need to create machine-readable files or markup to appear in AI Overviews or AI Mode.
The 2027 SEO trifecta
SEO still works. The economics of where you put your effort have changed. 
The strongest strategies will concentrate resources on commercially valuable searches, make content easier for both people and machines to understand, and build authority beyond your own site.

Prioritize commercial content, make your best answers easy to extract, and build authority signals for organic and AI search visibility.

3 SEO priorities to win organic traffic in 2027

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you.png" class="attachment-large size-large wp-post-image" alt="What your Google Ads hour-of-day report doesn&#039;t tell you" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Smart Bidding sees the auction-level signals your hourly report can’t. Know what you’re giving up when you cut an hour.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you.png" class="attachment-large size-large wp-post-image" alt="What your Google Ads hour-of-day report doesn&#039;t tell you" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/What-your-Google-Ads-hour-of-day-report-doesnt-tell-you-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Someone asks you to pull an hour-of-day report to identify the best-converting hours and limit wasted spend outside those hours. In many industries, especially news and publishing, you may see the 2 a.m. row, four clicks, and no conversions, and be asked to limit ad visibility during that hour.</p>



<p class="wp-block-paragraph">Don’t do it. At least, not based on that report alone.</p>



<p class="wp-block-paragraph">Dayparting’s role has changed. In a <a href="https://searchengineland.com/your-guide-to-google-ads-smart-bidding-453765">Smart Bidding</a> account, Google is already evaluating time of day at auction time alongside signals that an hour-of-day report can’t show you. </p>



<p class="wp-block-paragraph">Manually excluding an hour doesn’t help Smart Bidding make a better decision during that period. It prevents the campaign from entering those auctions altogether.</p>



<p class="wp-block-paragraph">Every campaign doesn’t need to run 24 hours a day. Advertisers need a better process for deciding when an ad schedule is actually warranted.</p>



<h2 id="h-smart-bidding-already-knows-what-time-it-is" class="wp-block-heading">Smart Bidding already knows what time it is</h2>



<p class="wp-block-paragraph"><a href="https://searchengineland.com/target-cpa-bidding-451823">Target CPA</a>, <a href="https://searchengineland.com/google-ads-target-roas-454747">Target ROAS</a>, <a href="https://searchengineland.com/maximize-conversions-bidding-google-ads-guide-450273">Maximize Conversions</a>, and <a href="https://searchengineland.com/maximize-conversion-value-google-ads-bidding-explained-453638">Maximize Conversion Value</a> all use auction-time bidding. Google <a href="https://support.google.com/google-ads/answer/7065882?hl=en" target="_blank" rel="noopener">lists time of day and day of week</a> among the contextual signals Smart Bidding can use, along with signals such as device, location, and audience characteristics.</p>



<p class="wp-block-paragraph">Google gives the example of a restaurant where bids may differ for someone searching at 8 p.m. on a Thursday, when people are more likely to make a weekend reservation, compared with someone searching at 8 a.m. on a Monday.</p>



<p class="wp-block-paragraph">Smart Bidding isn’t looking at 8 p.m. and deciding that the entire hour is good or bad. It’s evaluating individual auctions that happen during that hour.</p>



<p class="wp-block-paragraph">Google is also explicit about <a href="https://support.google.com/google-ads/answer/2732132?hl=en" target="_blank" rel="noopener">how ad schedules interact with Smart Bidding</a>. Manual ad schedule bid adjustments, such as increasing bids 20% on Tuesday afternoons, aren’t used by Smart Bidding. The actual schedule is still respected.</p>



<p class="wp-block-paragraph">If you remove Tuesday morning from the schedule, your campaign can’t enter those auctions. You aren’t telling Smart Bidding to be more conservative during that period. You’re removing the period from consideration entirely.</p>



<p class="wp-block-paragraph">That makes dayparting less of a bidding tactic and more of an eligibility decision.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: </em></strong><a href="https://searchengineland.com/when-to-trust-google-ads-ai-and-when-you-shouldnt-461668"><strong><em>When to trust Google Ads AI and when you shouldn’t</em></strong></a>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0101ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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        Uncover the keywords, ads, landing pages, and strategies driving your competitors&#8217; paid search success—and find your next opportunity to outperform them.
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      <span id="semrush-one-cta">Analyze your competitors</span>
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<h2 id="h-before-you-exclude-an-hour-audit-the-data" class="wp-block-heading">Before you exclude an hour, audit the data</h2>



<p class="wp-block-paragraph">Hour-of-day reporting is still useful. The problem comes when advertisers treat a weak row as enough evidence to change campaign eligibility. Before excluding an hour, I look at four things.</p>



<h3 id="h-1-get-enough-data-before-making-the-call" class="wp-block-heading">1. Get enough data before making the call</h3>



<p class="wp-block-paragraph">There are 168 hours in a week. Once you start slicing an account across individual hours, seemingly obvious trends can be based on little traffic.</p>



<p class="wp-block-paragraph">Four clicks without a conversion tell you what happened to four clicks. It doesn’t tell you that 2 a.m. is inherently unprofitable.</p>



<p class="wp-block-paragraph">Instead of reacting to a few days of data, expand the date range. In many accounts, reviewing at least 60 to 90 days gives you a better chance of distinguishing a persistent pattern from a short-term fluctuation. </p>



<p class="wp-block-paragraph">The right range still depends on account volume and conversion cycle. </p>



<p class="wp-block-paragraph">The goal isn’t to hit an arbitrary number of days. It’s to get enough data for the pattern to repeat.</p>



<h3 id="h-2-account-for-conversion-lag" class="wp-block-heading">2. Account for conversion lag</h3>



<p class="wp-block-paragraph">A click can happen now and convert hours or days later. Google Ads generally attributes conversions back to the date of the ad interaction, which means recent performance can look worse while conversions are still coming in.</p>



<p class="wp-block-paragraph">Google <a href="https://support.google.com/google-ads/answer/6239119?hl=en" target="_blank" rel="noopener">recommends accounting for conversion delay</a> when evaluating performance. Its documentation warns that recent periods can appear to have fewer conversions and a higher cost per conversion because spend has already been reported, while some conversions haven’t.</p>



<p class="wp-block-paragraph">Before deciding Tuesday night is underperforming on Wednesday morning, check your typical conversion delay. If the data isn’t mature, neither is the conclusion.</p>



<h3 id="h-3-look-beyond-the-hourly-average" class="wp-block-heading">3. Look beyond the hourly average</h3>



<p class="wp-block-paragraph">An hour with a poor average CPA can still contain valuable auctions. A manual schedule has no way to distinguish between them. Smart Bidding does.</p>



<p class="wp-block-paragraph">Before excluding a time period, look beyond conversions and CPA. Consider conversion value, lead quality, downstream sales data, and the actual business value of the customers acquired during that period.</p>



<h3 id="h-4-test-the-restriction-instead-of-assuming-it-works" class="wp-block-heading">4. Test the restriction instead of assuming it works</h3>



<p class="wp-block-paragraph">If there’s enough volume to test, test.</p>



<p class="wp-block-paragraph">I saw this firsthand while managing a restaurant account. We tested restricting delivery to selected hours against allowing the campaign to remain eligible 24 hours a day. The unrestricted approach increased conversions by 12% while decreasing CPA by 3%.</p>



<p class="wp-block-paragraph">The test showed that the hourly report alone hadn’t captured the value of the auctions we were removing.</p>



<p class="wp-block-paragraph">If you have enough traffic, compare the scheduled approach against broader eligibility and measure the result against the KPI that actually matters to the business. Don’t assume fewer hours automatically means less waste.</p>



<h2 id="h-how-dayparting-changes-by-industry" class="wp-block-heading">How dayparting changes by industry</h2>



<p class="wp-block-paragraph">The case for dayparting also depends on what happens after someone clicks. A schedule that makes sense for a call-driven business may unnecessarily restrict an account that can convert customers around the clock.</p>



<h3 id="h-news-and-publishing" class="wp-block-heading">News and publishing</h3>



<p class="wp-block-paragraph">Reader demand doesn’t follow office hours. Breaking news, elections, sports, and major entertainment events can create traffic outside historically strong periods. A rigid schedule built from historical hourly averages can leave a campaign sitting out when demand suddenly changes.</p>



<h3 id="h-restaurants" class="wp-block-heading">Restaurants</h3>



<p class="wp-block-paragraph">Searches and reservations can happen long after the dinner rush or before the restaurant opens. The restaurant test above is a good example of why operating hours and conversion hours shouldn’t automatically be treated as the same thing.</p>



<h3 id="h-home-services-and-lead-generation" class="wp-block-heading">Home services and lead generation</h3>



<p class="wp-block-paragraph">Response time can matter more. If an overnight lead won’t be contacted for hours and that delay materially lowers its value, an ad schedule may reflect a legitimate operational constraint. If leads submitted overnight convert just as well once contacted, however, shutting those hours off may simply reduce opportunity.</p>



<h3 id="h-ecommerce" class="wp-block-heading">Ecommerce</h3>



<p class="wp-block-paragraph">Customers can purchase around the clock, so business hours alone are rarely a strong reason to restrict delivery. Look for sustained differences in conversion value and profitability before excluding hours rather than assuming overnight traffic is inherently less valuable.</p>



<h3 id="h-b2b-and-appointment-based-businesses" class="wp-block-heading">B2B and appointment-based businesses</h3>



<p class="wp-block-paragraph">Don’t assume prospects only search during office hours. B2B research can happen at night and still produce qualified leads the next day. Appointment-based businesses have a different concern: available capacity. If additional leads lose value because appointments are already full, the business may have a legitimate reason to limit acquisition.</p>



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<h2 id="h-when-dayparting-still-makes-sense" class="wp-block-heading">When dayparting still makes sense</h2>



<p class="wp-block-paragraph">Across industries, legitimate reasons for restricting delivery tend to fall into a few categories.</p>



<h3 id="h-operating-constraints" class="wp-block-heading">Operating constraints</h3>



<p class="wp-block-paragraph">If a time-sensitive phone lead has little value after 6 p.m. because nobody can respond until the next day, limiting those hours may make sense.&nbsp;</p>



<p class="wp-block-paragraph">But being closed isn’t enough on its own. If someone can submit a form at 9 p.m. and become a perfectly good customer when the sales team follows up the next morning, there may be no reason to stop advertising.</p>



<h3 id="h-capacity" class="wp-block-heading">Capacity</h3>



<p class="wp-block-paragraph">If a business can only fulfill a fixed number of jobs or appointments and additional leads have sharply reduced value once that capacity is reached, the advertiser has information Smart Bidding doesn’t inherently know.</p>



<h3 id="h-contractual-licensing-legal-or-internal-compliance-requirements" class="wp-block-heading">Contractual, licensing, legal, or internal compliance requirements</h3>



<p class="wp-block-paragraph">If a campaign genuinely cannot advertise during certain periods, scheduling becomes an eligibility requirement rather than a performance optimization.</p>



<h3 id="h-budget-constraints" class="wp-block-heading">Budget constraints</h3>



<p class="wp-block-paragraph">This requires more caution. If a campaign consistently spends heavily early and misses later demand, restricting eligibility may be one option, but it shouldn’t be the first reaction.&nbsp;</p>



<p class="wp-block-paragraph">Check whether the budget is appropriate, whether CPA or ROAS targets are realistic, and whether conversion quality changes throughout the day before using a schedule to control spend.</p>



<p class="wp-block-paragraph">A useful question before adding any restriction is:&nbsp;</p>



<ul class="wp-block-list">
<li>Do I know something about the business that the bidding system cannot see in the auction?</li>
</ul>



<p class="wp-block-paragraph">If the answer is yes, human intervention may be warranted. If the answer is simply that one hour looks bad in a report, investigate further before removing it.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper:</em></strong><a href="https://searchengineland.com/4-times-ppc-automation-still-needs-a-human-touch-464245"><strong><em> </em></strong><strong><em>4 times PPC automation still needs a human touch</em></strong></a>



<h2 id="h-google-s-2026-pacing-change-affects-scheduled-campaigns" class="wp-block-heading">Google’s 2026 pacing change affects scheduled campaigns</h2>



<p class="wp-block-paragraph">Advertisers already using ad schedules have another reason to audit them.</p>



<p class="wp-block-paragraph">Starting June 1, 2026, Google changed how budgets are paced for campaigns using ad schedules. Campaigns now pace toward the full monthly spending limit of 30.4 times the average daily budget, regardless of how many days the campaign is scheduled to run. Previously, pacing typically accounted for the number of active days.</p>



<p class="wp-block-paragraph">A weekday-only campaign, for example, doesn’t automatically get a lower monthly pacing target because it is inactive on weekends. Google can concentrate more spend on eligible days while remaining within its daily and monthly spending limits.</p>



<p class="wp-block-paragraph">Advertisers using restrictive schedules should revisit both the schedule and the budget. Check how much spend is being concentrated into active periods, whether CPA or ROAS has changed, and whether the original reason for restricting the campaign still exists.</p>



<p class="wp-block-paragraph">If the schedule is necessary, keep it and adjust the budget strategy around the new pacing behavior. If nobody can explain why the schedule exists anymore, that’s a reason to test whether it still belongs there.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper:</em></strong><a href="https://searchengineland.com/google-changes-budget-pacing-rules-for-scheduled-campaigns-475107"><strong><em> </em></strong><strong><em>Google changes budget pacing rules for scheduled campaigns</em></strong></a>



<h2 id="h-check-the-account-time-zone-before-changing-anything" class="wp-block-heading">Check the account time zone before changing anything</h2>



<p class="wp-block-paragraph">One final check can prevent an otherwise smart dayparting decision from going sideways.</p>



<p class="wp-block-paragraph">Google Ads schedules are <a href="https://support.google.com/google-ads/answer/6372656?hl=en" target="_blank" rel="noopener">based on the account’s time zone</a>, not each individual customer’s local time. If an account is set to Eastern time and the campaign targets customers across the United States, a 9 a.m. to 5 p.m. schedule does not represent 9 a.m. to 5 p.m. for every customer.</p>



<p class="wp-block-paragraph">This matters for national accounts and campaigns that expanded geographically after the original account structure was created. It also matters when someone pulls an hour-of-day report and assumes the hour shown represents the customer’s local time.</p>



<p class="wp-block-paragraph">Before changing an ad schedule, confirm the account time zone, identify the time zones covered by the campaign, and translate the proposed schedule accordingly.</p>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0102ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
  <div>
    
    <div>
      
      <div id="semrush-one-headline" class="headline-responsive">
        Every click they win is <span>a customer you lose</span>.
      </div>
      <p id="semrush-one-subhead">
        See where competitors are investing, which keywords drive their results, and how to capture more of the market.
      </p>
    </div>
    <div>
      <span id="semrush-one-cta">See who’s stealing your traffic</span>
    </div>
    </div>
    </a>




<h2 id="h-stop-using-dayparting-as-a-reflex" class="wp-block-heading">Stop using dayparting as a reflex</h2>



<p class="wp-block-paragraph">The next time someone points to four clicks at 2 a.m. and asks you to shut the hour off, don’t start with the schedule.</p>



<p class="wp-block-paragraph">Check whether you have enough data. Account for conversion lag. Look at conversion quality and value. Confirm the account time zone. Determine whether there is an actual business constraint. If there isn’t one and the data is mature enough, test the restriction rather than assuming it will improve performance.</p>



<p class="wp-block-paragraph">Smart Bidding already knows what time the auction is happening. Your job is to determine whether there is something about the business that makes that time unavailable or less valuable.</p>

Someone asks you to pull an hour-of-day report to identify the best-converting hours and limit wasted spend outside those hours. In many industries, especially news and publishing, you may see the 2 a.m. row, four clicks, and no conversions, and be asked to limit ad visibility during that hour.
Don’t do it. At least, not based on that report alone.
Dayparting’s role has changed. In a Smart Bidding account, Google is already evaluating time of day at auction time alongside signals that an hour-of-day report can’t show you. 
Manually excluding an hour doesn’t help Smart Bidding make a better decision during that period. It prevents the campaign from entering those auctions altogether.
Every campaign doesn’t need to run 24 hours a day. Advertisers need a better process for deciding when an ad schedule is actually warranted.
Smart Bidding already knows what time it is
Target CPA, Target ROAS, Maximize Conversions, and Maximize Conversion Value all use auction-time bidding. Google lists time of day and day of week among the contextual signals Smart Bidding can use, along with signals such as device, location, and audience characteristics.
Google gives the example of a restaurant where bids may differ for someone searching at 8 p.m. on a Thursday, when people are more likely to make a weekend reservation, compared with someone searching at 8 a.m. on a Monday.
Smart Bidding isn’t looking at 8 p.m. and deciding that the entire hour is good or bad. It’s evaluating individual auctions that happen during that hour.
Google is also explicit about how ad schedules interact with Smart Bidding. Manual ad schedule bid adjustments, such as increasing bids 20% on Tuesday afternoons, aren’t used by Smart Bidding. The actual schedule is still respected.
If you remove Tuesday morning from the schedule, your campaign can’t enter those auctions. You aren’t telling Smart Bidding to be more conservative during that period. You’re removing the period from consideration entirely.
That makes dayparting less of a bidding tactic and more of an eligibility decision.
Dig deeper: When to trust Google Ads AI and when you shouldn’t



  
your competitors win.
      
Analyze your competitors
    
Before you exclude an hour, audit the data
Hour-of-day reporting is still useful. The problem comes when advertisers treat a weak row as enough evidence to change campaign eligibility. Before excluding an hour, I look at four things.
1. Get enough data before making the call
There are 168 hours in a week. Once you start slicing an account across individual hours, seemingly obvious trends can be based on little traffic.
Four clicks without a conversion tell you what happened to four clicks. It doesn’t tell you that 2 a.m. is inherently unprofitable.
Instead of reacting to a few days of data, expand the date range. In many accounts, reviewing at least 60 to 90 days gives you a better chance of distinguishing a persistent pattern from a short-term fluctuation. 
The right range still depends on account volume and conversion cycle. 
The goal isn’t to hit an arbitrary number of days. It’s to get enough data for the pattern to repeat.
2. Account for conversion lag
A click can happen now and convert hours or days later. Google Ads generally attributes conversions back to the date of the ad interaction, which means recent performance can look worse while conversions are still coming in.
Google recommends accounting for conversion delay when evaluating performance. Its documentation warns that recent periods can appear to have fewer conversions and a higher cost per conversion because spend has already been reported, while some conversions haven’t.
Before deciding Tuesday night is underperforming on Wednesday morning, check your typical conversion delay. If the data isn’t mature, neither is the conclusion.
3. Look beyond the hourly average
An hour with a poor average CPA can still contain valuable auctions. A manual schedule has no way to distinguish between them. Smart Bidding does.
Before excluding a time period, look beyond conversions and CPA. Consider conversion value, lead quality, downstream sales data, and the actual business value of the customers acquired during that period.
4. Test the restriction instead of assuming it works
If there’s enough volume to test, test.
I saw this firsthand while managing a restaurant account. We tested restricting delivery to selected hours against allowing the campaign to remain eligible 24 hours a day. The unrestricted approach increased conversions by 12% while decreasing CPA by 3%.
The test showed that the hourly report alone hadn’t captured the value of the auctions we were removing.
If you have enough traffic, compare the scheduled approach against broader eligibility and measure the result against the KPI that actually matters to the business. Don’t assume fewer hours automatically means less waste.
How dayparting changes by industry
The case for dayparting also depends on what happens after someone clicks. A schedule that makes sense for a call-driven business may unnecessarily restrict an account that can convert customers around the clock.
News and publishing
Reader demand doesn’t follow office hours. Breaking news, elections, sports, and major entertainment events can create traffic outside historically strong periods. A rigid schedule built from historical hourly averages can leave a campaign sitting out when demand suddenly changes.
Restaurants
Searches and reservations can happen long after the dinner rush or before the restaurant opens. The restaurant test above is a good example of why operating hours and conversion hours shouldn’t automatically be treated as the same thing.
Home services and lead generation
Response time can matter more. If an overnight lead won’t be contacted for hours and that delay materially lowers its value, an ad schedule may reflect a legitimate operational constraint. If leads submitted overnight convert just as well once contacted, however, shutting those hours off may simply reduce opportunity.
Ecommerce
Customers can purchase around the clock, so business hours alone are rarely a strong reason to restrict delivery. Look for sustained differences in conversion value and profitability before excluding hours rather than assuming overnight traffic is inherently less valuable.
B2B and appointment-based businesses
Don’t assume prospects only search during office hours. B2B research can happen at night and still produce qualified leads the next day. Appointment-based businesses have a different concern: available capacity. If additional leads lose value because appointments are already full, the business may have a legitimate reason to limit acquisition.
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When dayparting still makes sense
Across industries, legitimate reasons for restricting delivery tend to fall into a few categories.
Operating constraints
If a time-sensitive phone lead has little value after 6 p.m. because nobody can respond until the next day, limiting those hours may make sense. 
But being closed isn’t enough on its own. If someone can submit a form at 9 p.m. and become a perfectly good customer when the sales team follows up the next morning, there may be no reason to stop advertising.
Capacity
If a business can only fulfill a fixed number of jobs or appointments and additional leads have sharply reduced value once that capacity is reached, the advertiser has information Smart Bidding doesn’t inherently know.
Contractual, licensing, legal, or internal compliance requirements
If a campaign genuinely cannot advertise during certain periods, scheduling becomes an eligibility requirement rather than a performance optimization.
Budget constraints
This requires more caution. If a campaign consistently spends heavily early and misses later demand, restricting eligibility may be one option, but it shouldn’t be the first reaction. 
Check whether the budget is appropriate, whether CPA or ROAS targets are realistic, and whether conversion quality changes throughout the day before using a schedule to control spend.
A useful question before adding any restriction is: 
Do I know something about the business that the bidding system cannot see in the auction?
If the answer is yes, human intervention may be warranted. If the answer is simply that one hour looks bad in a report, investigate further before removing it.
Dig deeper: 4 times PPC automation still needs a human touch



Google’s 2026 pacing change affects scheduled campaigns
Advertisers already using ad schedules have another reason to audit them.
Starting June 1, 2026, Google changed how budgets are paced for campaigns using ad schedules. Campaigns now pace toward the full monthly spending limit of 30.4 times the average daily budget, regardless of how many days the campaign is scheduled to run. Previously, pacing typically accounted for the number of active days.
A weekday-only campaign, for example, doesn’t automatically get a lower monthly pacing target because it is inactive on weekends. Google can concentrate more spend on eligible days while remaining within its daily and monthly spending limits.
Advertisers using restrictive schedules should revisit both the schedule and the budget. Check how much spend is being concentrated into active periods, whether CPA or ROAS has changed, and whether the original reason for restricting the campaign still exists.
If the schedule is necessary, keep it and adjust the budget strategy around the new pacing behavior. If nobody can explain why the schedule exists anymore, that’s a reason to test whether it still belongs there.
Dig deeper: Google changes budget pacing rules for scheduled campaigns



Check the account time zone before changing anything
One final check can prevent an otherwise smart dayparting decision from going sideways.
Google Ads schedules are based on the account’s time zone, not each individual customer’s local time. If an account is set to Eastern time and the campaign targets customers across the United States, a 9 a.m. to 5 p.m. schedule does not represent 9 a.m. to 5 p.m. for every customer.
This matters for national accounts and campaigns that expanded geographically after the original account structure was created. It also matters when someone pulls an hour-of-day report and assumes the hour shown represents the customer’s local time.
Before changing an ad schedule, confirm the account time zone, identify the time zones covered by the campaign, and translate the proposed schedule accordingly.
a customer you lose.
      
See who’s stealing your traffic
    
Stop using dayparting as a reflex
The next time someone points to four clicks at 2 a.m. and asks you to shut the hour off, don’t start with the schedule.
Check whether you have enough data. Account for conversion lag. Look at conversion quality and value. Confirm the account time zone. Determine whether there is an actual business constraint. If there isn’t one and the data is mature enough, test the restriction rather than assuming it will improve performance.
Smart Bidding already knows what time the auction is happening. Your job is to determine whether there is something about the business that makes that time unavailable or less valuable.

Smart Bidding sees the auction-level signals your hourly report can’t. Know what you’re giving up when you cut an hour.

What your Google Ads hour-of-day report doesn’t tell you

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image.png" class="attachment-large size-large wp-post-image" alt="AI works best when it removes work, not judgment - featured-image" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI becomes risky when you delegate judgment. It becomes an “easy button” when you delegate tedious, repetitive, and mundane work.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image.png" class="attachment-large size-large wp-post-image" alt="AI works best when it removes work, not judgment - featured-image" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/AI-works-best-when-it-removes-work-not-judgment-featured-image-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Over the course of this year, we’ve talked about the “easy button” and how many corporate leaders are <a href="https://www.seoforlunch.com/p/ai-shortcut" target="_blank" rel="noopener">blindly trusting AI</a> to run their businesses.</p>



<p class="wp-block-paragraph">Since we already covered <a href="https://www.seoforlunch.com/p/ai-guarantees" target="_blank" rel="noopener">AI scams</a>, the <a href="https://www.seoforlunch.com/p/ai-jail" target="_blank" rel="noopener">legal consequences of using AI</a>, and what happens when people are <a href="https://www.seoforlunch.com/p/what-if-you-were-held-accountable" target="_blank" rel="noopener">held accountable for their AI slop</a>, I want to try something different.</p>



<p class="wp-block-paragraph">I want to <em>try</em> to defend the AI “easy button.”</p>



<p class="wp-block-paragraph">Despite my months and months of ranting about easy buttons, AI easy buttons absolutely exist. The problem is that companies keep pressuring AI, over and over, to make decisions that require experience, context, and accountability.</p>



<p class="wp-block-paragraph">The best AI easy buttons don’t replace judgment. They eliminate the tedious work surrounding it.</p>



<p><a href="https://www.seoforlunch.com/embed" rel="noopener noreferrer">View embedded content</a>



<h2 id="h-turn-meetings-into-to-do-lists" class="wp-block-heading">Turn meetings into to-do lists</h2>



<p class="wp-block-paragraph">This, personally, has been one of the most transformative areas of my consulting business. See, maybe it’s my ADHD brain, but I can either have a great conversation with someone OR take great notes. If I try to do both, I do a poor job at both.</p>



<p class="wp-block-paragraph">For me, AI transcription and summarization may be the most obvious legitimate easy button. Who would have thought we could have our cake and eat it too!</p>



<p class="wp-block-paragraph">I personally use Fireflies.ai, but select your favorite note-taking app and have it start recording meetings and extract the following:</p>



<ul class="wp-block-list">
<li>Decisions made.</li>



<li>Questions requiring follow-up.</li>



<li>Assigned tasks and owners.</li>



<li>Deadlines mentioned — this is my favorite!</li>



<li>Unresolved debates. <em>(I’ll come back to this one)</em></li>
</ul>



<p class="wp-block-paragraph">The person who owns the meeting (and sets up AI note-taking) reviews the AI&#8217;s output and sends it to the team. AI isn’t deciding what the business should do; it’s documenting what people already decided and attempting to hold them accountable.</p>



<p class="wp-block-paragraph"><strong>Re: accountability:</strong> <em>Ever had someone say they would do something and then, when confronted on that deliverable/action, they tell you, “no, that wasn’t me…” You can figure out a nice way to be like, “Yeah, so my AI notes back on XX/YY had you commit to this”. If they still fight you, then you can bring out voice recordings :)~</em>



<p class="wp-block-paragraph"><strong>Measurable value:</strong>



<ul class="wp-block-list">
<li>Time spent writing notes during the meeting.</li>



<li>Percentage of tasks with an owner and due date.</li>



<li>Missed or overdue follow-ups.</li>



<li>Reduction in “what did we talk about last time” meetings.</li>
</ul>



<h2 id="h-identifying-data-and-patterns-before-analysis" class="wp-block-heading">Identifying data and patterns before analysis</h2>



<p class="wp-block-paragraph">Give AI access to exports from approved, non-sensitive datasets and ask it to categorize, summarize, <a href="https://www.seoforlunch.com/p/when-did-25-efficiency-become-not" target="_blank" rel="noopener">identify efficiencies</a>, or flag items that stand out.</p>



<p class="wp-block-paragraph"><strong>SEO examples:</strong>



<ul class="wp-block-list">
<li>Group thousands of Search Console queries by intent. (Better yet, your competitor’s keyword data!)</li>



<li>Categorize declining pages by template or content type.</li>



<li>Compare winners and losers after an <a href="https://searchengineland.com/library/platforms/google/google-algorithm-updates">algorithm update</a>.</li>



<li>Surface unusual changes requiring investigation.</li>



<li>Convert messy exports into usable tables and graphics.</li>
</ul>



<p class="wp-block-paragraph"><strong>The boundary matters!</strong> AI can identify where something changed. It shouldn&#8217;t be trusted to determine why it changed without validation.</p>



<p class="wp-block-paragraph"><strong>Measurable value:</strong>



<ul class="wp-block-list">
<li>Number of rows reviewed.</li>



<li>Analysis hours saved.</li>



<li>Percentage of the dataset categorized.</li>



<li>Additional opportunities or data anomalies discovered.</li>
</ul>



<h2 id="h-transform-existing-work-into-new-formats" class="wp-block-heading">Transform existing work into new formats</h2>



<p class="wp-block-paragraph">Yes, I know we all want the easy button to take the prompt “take this idea and provide me a fully polished deliverable,” but that’s <a href="https://www.seoforlunch.com/p/ai-in-the-wild" target="_blank" rel="noopener">just not gonna happen</a>.</p>



<p class="wp-block-paragraph">Instead, leverage AI to recreate formats!</p>



<p class="wp-block-paragraph"><strong>Examples:</strong>



<ul class="wp-block-list">
<li>Convert podcast/webinar video into LinkedIn posts.</li>



<li>Create executive summaries from detailed public reports.</li>



<li>Draft meta descriptions from existing page copy.</li>



<li>Convert documentation into FAQs or training materials.</li>
</ul>



<p class="wp-block-paragraph"><strong>AI handles transformation.</strong> A human protects the substance, voice, and accuracy of the end product.</p>



<p class="wp-block-paragraph">You get it by now. You&#8217;re not asking it to <strong>think</strong> for you, just execute the grunt work you don’t actually want to do yourself. QA is the new superpower we need to adopt!</p>



<p class="wp-block-paragraph"><strong>Measurable value:</strong>



<ul class="wp-block-list">
<li>Production time savings. (Per asset creation)</li>



<li>Number of assets created from one source. (This was always the goal since day 1!)</li>



<li>Editing time. (But don&#8217;t let it blindly rewrite; make it give you recommendations or challenge the structure.)</li>
</ul>



<h2 id="h-use-ai-as-a-first-pass-editor" class="wp-block-heading">Use AI as a first-pass editor</h2>



<p class="wp-block-paragraph">Most companies obsess over using AI to create more. But handing AI the final draft is like letting the ball boy call the game-winning play.</p>



<p class="wp-block-paragraph">Let AI review the tape. Your experienced people should still make the call. (Anyone else getting excited for football!?)</p>



<p class="wp-block-paragraph"><strong>Ask AI to review your work for:</strong>



<ul class="wp-block-list">
<li>Missing information.</li>



<li>Contradictions.</li>



<li>Unanswered customer questions.</li>



<li>Confusing language.</li>



<li>Requirements that weren’t addressed.</li>
</ul>



<p class="wp-block-paragraph"><strong>This isn’t final approval.</strong> It’s an extra set of eyes that can spot missed opportunities before a credentialed or knowledgeable human signs off.</p>



<p class="wp-block-paragraph">AI is far less dangerous when its job is to raise questions, identify gaps, and suggest opportunities — not write, approve, and submit the final answer.</p>



<p class="wp-block-paragraph"><strong>Measurable value:</strong>



<ul class="wp-block-list">
<li>Issues (big or small) caught before submitting your final work.</li>



<li>Revision cycles and general review time.</li>



<li>Post-publication corrections if content is online.</li>



<li>Stakeholder feedback.</li>
</ul>



<h2 id="h-eliminate-repetitive-technical-work" class="wp-block-heading">Eliminate repetitive technical work</h2>



<p class="wp-block-paragraph">This is one of the best use cases for AI. Use AI to produce small, testable pieces of technical work, such as:</p>



<ul class="wp-block-list">
<li>Spreadsheet formulas.</li>



<li>Regex expressions.</li>



<li>SQL queries.</li>



<li>Schema markup.</li>



<li>Redirect mapping.</li>



<li>Basic scripts. (I especially love this for Apps Script within GSheets!)</li>



<li>Looker Studio calculated fields.</li>
</ul>



<p class="wp-block-paragraph">The output either works or it doesn’t, which makes your QA pretty straightforward.</p>



<p class="wp-block-paragraph">You still define the desired outcome, own QA of the result, and control the implementation. Nobody should deploy AI-generated code across a production site without reviewing it. (OK, I might have done this a time or two for SEOJobs.com, but let’s just say lessons were learned)</p>



<p class="wp-block-paragraph">The safest easy buttons produce testable outputs. <a href="https://www.seoforlunch.com/p/blind-trust" target="_blank" rel="noopener">Not opinions that merely sound convincing</a>.</p>



<p class="wp-block-paragraph"><strong>Measurable value:</strong>



<ul class="wp-block-list">
<li>Time required to complete the task.</li>



<li>Manual steps eliminated.</li>



<li>Error rate.</li>



<li>Number of records processed.</li>



<li>Cost compared with manual execution.</li>
</ul>



<h2 id="h-delegate-the-labor-not-the-accountability" class="wp-block-heading">Delegate the labor, not the accountability</h2>



<p class="wp-block-paragraph">The true concept of an AI easy button was never the problem. The problem was deciding what we were willing to allow the button to control and what its impact would be.</p>



<p class="wp-block-paragraph">Meeting notes, data organization, content transformation, editing/reviews, and repetitive technical tasks are all tedious, measurable, and relatively easy to QA.</p>



<p class="wp-block-paragraph"><strong>Go ahead, press the button for all of these!</strong>



<p class="wp-block-paragraph">Strategy, expertise, prioritization, and final approval are 100% different. Those require context and someone willing to <a href="https://www.seoforlunch.com/p/what-if-you-were-held-accountable" target="_blank" rel="noopener">accept responsibility when the answer is wrong</a>.</p>



<p class="wp-block-paragraph">Use AI to remove time from the larger process. Use people to determine whether the work is accurate, useful, and worth acting on.</p>



<p class="wp-block-paragraph">Don’t allow AI to push its own easy button. It shouldn’t decide what matters, simply what the options are, and the details surrounding them.</p>



<p class="wp-block-paragraph"><em>This post first appeared on the author’s website and is republished here with permission.</em>


<div class="wp-block-image">
<figure class="aligncenter"><a href="https://seoforlunch.com/?utm_source=searchengineland.com&amp;utm_medium=social"><img decoding="async" width="1774" height="887" src="https://searchengineland.com/wp-content/seloads/2026/05/leroy2.jpg.webp" alt="Leroy2" class="wp-image-476987" srcset="https://searchengineland.com/wp-content/seloads/2026/05/leroy2.jpg 1774w, https://searchengineland.com/wp-content/seloads/2026/05/leroy2-768x384.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/05/leroy2-1536x768.jpg 1536w" sizes="(max-width: 1774px) 100vw, 1774px" /></a></figure>
</div>

Over the course of this year, we’ve talked about the “easy button” and how many corporate leaders are blindly trusting AI to run their businesses.
Since we already covered AI scams, the legal consequences of using AI, and what happens when people are held accountable for their AI slop, I want to try something different.
I want to try to defend the AI “easy button.”
Despite my months and months of ranting about easy buttons, AI easy buttons absolutely exist. The problem is that companies keep pressuring AI, over and over, to make decisions that require experience, context, and accountability.
The best AI easy buttons don’t replace judgment. They eliminate the tedious work surrounding it.
View embedded content



Turn meetings into to-do lists
This, personally, has been one of the most transformative areas of my consulting business. See, maybe it’s my ADHD brain, but I can either have a great conversation with someone OR take great notes. If I try to do both, I do a poor job at both.
For me, AI transcription and summarization may be the most obvious legitimate easy button. Who would have thought we could have our cake and eat it too!
I personally use Fireflies.ai, but select your favorite note-taking app and have it start recording meetings and extract the following:
Decisions made.
Questions requiring follow-up.
Assigned tasks and owners.
Deadlines mentioned — this is my favorite!
Unresolved debates. (I’ll come back to this one)
The person who owns the meeting (and sets up AI note-taking) reviews the AI’s output and sends it to the team. AI isn’t deciding what the business should do; it’s documenting what people already decided and attempting to hold them accountable.
Re: accountability: Ever had someone say they would do something and then, when confronted on that deliverable/action, they tell you, “no, that wasn’t me…” You can figure out a nice way to be like, “Yeah, so my AI notes back on XX/YY had you commit to this”. If they still fight you, then you can bring out voice recordings :)~



Measurable value:




Time spent writing notes during the meeting.
Percentage of tasks with an owner and due date.
Missed or overdue follow-ups.
Reduction in “what did we talk about last time” meetings.
Identifying data and patterns before analysis
Give AI access to exports from approved, non-sensitive datasets and ask it to categorize, summarize, identify efficiencies, or flag items that stand out.
SEO examples:




Group thousands of Search Console queries by intent. (Better yet, your competitor’s keyword data!)
Categorize declining pages by template or content type.
Compare winners and losers after an algorithm update.
Surface unusual changes requiring investigation.
Convert messy exports into usable tables and graphics.
The boundary matters! AI can identify where something changed. It shouldn’t be trusted to determine why it changed without validation.
Measurable value:




Number of rows reviewed.
Analysis hours saved.
Percentage of the dataset categorized.
Additional opportunities or data anomalies discovered.
Transform existing work into new formats
Yes, I know we all want the easy button to take the prompt “take this idea and provide me a fully polished deliverable,” but that’s just not gonna happen.
Instead, leverage AI to recreate formats!
Examples:




Convert podcast/webinar video into LinkedIn posts.
Create executive summaries from detailed public reports.
Draft meta descriptions from existing page copy.
Convert documentation into FAQs or training materials.
AI handles transformation. A human protects the substance, voice, and accuracy of the end product.
You get it by now. You’re not asking it to think for you, just execute the grunt work you don’t actually want to do yourself. QA is the new superpower we need to adopt!
Measurable value:




Production time savings. (Per asset creation)
Number of assets created from one source. (This was always the goal since day 1!)
Editing time. (But don’t let it blindly rewrite; make it give you recommendations or challenge the structure.)
Use AI as a first-pass editor
Most companies obsess over using AI to create more. But handing AI the final draft is like letting the ball boy call the game-winning play.
Let AI review the tape. Your experienced people should still make the call. (Anyone else getting excited for football!?)
Ask AI to review your work for:




Missing information.
Contradictions.
Unanswered customer questions.
Confusing language.
Requirements that weren’t addressed.
This isn’t final approval. It’s an extra set of eyes that can spot missed opportunities before a credentialed or knowledgeable human signs off.
AI is far less dangerous when its job is to raise questions, identify gaps, and suggest opportunities — not write, approve, and submit the final answer.
Measurable value:




Issues (big or small) caught before submitting your final work.
Revision cycles and general review time.
Post-publication corrections if content is online.
Stakeholder feedback.
Eliminate repetitive technical work
This is one of the best use cases for AI. Use AI to produce small, testable pieces of technical work, such as:
Spreadsheet formulas.
Regex expressions.
SQL queries.
Schema markup.
Redirect mapping.
Basic scripts. (I especially love this for Apps Script within GSheets!)
Looker Studio calculated fields.
The output either works or it doesn’t, which makes your QA pretty straightforward.
You still define the desired outcome, own QA of the result, and control the implementation. Nobody should deploy AI-generated code across a production site without reviewing it. (OK, I might have done this a time or two for SEOJobs.com, but let’s just say lessons were learned)
The safest easy buttons produce testable outputs. Not opinions that merely sound convincing.
Measurable value:




Time required to complete the task.
Manual steps eliminated.
Error rate.
Number of records processed.
Cost compared with manual execution.
Delegate the labor, not the accountability
The true concept of an AI easy button was never the problem. The problem was deciding what we were willing to allow the button to control and what its impact would be.
Meeting notes, data organization, content transformation, editing/reviews, and repetitive technical tasks are all tedious, measurable, and relatively easy to QA.
Go ahead, press the button for all of these!



Strategy, expertise, prioritization, and final approval are 100% different. Those require context and someone willing to accept responsibility when the answer is wrong.
Use AI to remove time from the larger process. Use people to determine whether the work is accurate, useful, and worth acting on.
Don’t allow AI to push its own easy button. It shouldn’t decide what matters, simply what the options are, and the details surrounding them.
This post first appeared on the author’s website and is republished here with permission.

AI becomes risky when you delegate judgment. It becomes an “easy button” when you delegate tedious, repetitive, and mundane work.

AI works best when it removes work, not judgment

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>This too is first rolling out AI Mode for Google AI Pro &#038; Ultra subscribers in English, like we saw with 3.7.

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/09/google-flash-logo-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Google Search has upgraded AI Mode to use its latest Gemini model, Gemini 3.8 Flash. This comes just a couple weeks after Google AI Mode was powered by <a href="https://searchengineland.com/gemini-3-7-flash-rolling-out-in-google-search-485058">Gemini 3.7 Flash</a>. </p>



<p class="wp-block-paragraph">Like with the 3.7 release, 3.8 Flash can be used in AI Mode searchers for Google AI Pro &amp; Ultra subscribers.</p>



<p class="wp-block-paragraph"><strong>What Google said. </strong>Robby Stein, Google&#8217;s VP of product, <a href="https://x.com/rmstein/status/2095176293751124182">said</a> on X:</p>



<ul class="wp-block-list">
<li>&#8220;Gemini 3.8 Flash has landed in Search <img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f525.png" alt="🔥" class="wp-smiley" />&#8221;</li>
</ul>



<p class="wp-block-paragraph">He shared how much more powerful Gemini 3.8 Flash is:</p>



<ul class="wp-block-list">
<li>&#8220;It’s our most intelligent workhorse model yet, delivering significant improvements from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.&#8221;</li>
</ul>



<p class="wp-block-paragraph">Who can use it:</p>



<ul class="wp-block-list">
<li>&#8220;Available today in AI Mode for Google AI Pro &amp; Ultra subs around the world.</li>
</ul>



<p class="wp-block-paragraph">How to access it:</p>



<ul class="wp-block-list">
<li>&#8220;Tap the (+) icon to select it in the model dropdown menu&#8221;<a href="https://x.com/rmstein/status/2095176293751124182/photo/1"></a></li>
</ul>



<p class="wp-block-paragraph"><strong>What it looks like. </strong>Here is a screenshot of Gemini 3.8 Flash as a model to select from within AI Mode in Search:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="2048" height="2048" src="https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-scaled.jpg" alt="" class="wp-image-486636" srcset="https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-scaled.jpg 2048w, https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-768x768.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-1536x1536.jpg 1536w, https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-95x95.jpg 95w, https://searchengineland.com/wp-content/seloads/2026/09/gemini-flash-3.8-ai-mode-675x675.jpg 675w" sizes="(max-width: 2048px) 100vw, 2048px" /></figure>



<p class="wp-block-paragraph"><strong>Why we care. </strong>Google will likely roll this mode out to all searchers, even free plans, in the coming weeks or months. The models continue to improve and get better, which should make Google Search and AI Mode better over time.<br><a href="https://www.semrush.com/ai-seo/overview?utm_campaign=ic_sel_0102ai&amp;utm_source=searchengineland.com&amp;utm_medium=overlay&amp;onboarding=off" target="_blank" rel="noopener"></a>


Google Search has upgraded AI Mode to use its latest Gemini model, Gemini 3.8 Flash. This comes just a couple weeks after Google AI Mode was powered by Gemini 3.7 Flash. 
Like with the 3.7 release, 3.8 Flash can be used in AI Mode searchers for Google AI Pro & Ultra subscribers.
What Google said. Robby Stein, Google’s VP of product, said on X:
“Gemini 3.8 Flash has landed in Search ”
He shared how much more powerful Gemini 3.8 Flash is:
“It’s our most intelligent workhorse model yet, delivering significant improvements from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.”
Who can use it:
“Available today in AI Mode for Google AI Pro & Ultra subs around the world.
How to access it:
“Tap the (+) icon to select it in the model dropdown menu”
What it looks like. Here is a screenshot of Gemini 3.8 Flash as a model to select from within AI Mode in Search:




Why we care. Google will likely roll this mode out to all searchers, even free plans, in the coming weeks or months. The models continue to improve and get better, which should make Google Search and AI Mode better over time.

This too is first rolling out AI Mode for Google AI Pro & Ultra subscribers in English, like we saw with 3.7.

Gemini 3.8 Flash rolling out in Google Search

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court.png" class="attachment-large size-large wp-post-image" alt="Google monopoly breakup" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Judge keeps the monopoly finding intact, but chooses behavioral remedies over a forced AdX sale, preserving Google's ad exchange.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court.png" class="attachment-large size-large wp-post-image" alt="Google monopoly breakup" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/google-monopoly-breakup-court-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">A federal judge rejected the U.S. Justice Department&#8217;s bid to force Google to sell its AdX advertising exchange. Google is allowed to keep the business despite an <a href="https://searchengineland.com/doj-wins-antitrust-case-google-454371">earlier ruling that it illegally monopolized</a> parts of the publisher advertising technology market.</p>



<p class="wp-block-paragraph">The decision leaves Google&#8217;s antitrust liability intact but rejects the DOJ&#8217;s request for a court-ordered divestiture.</p>



<p class="wp-block-paragraph">Court ordered behavioral remedies. U.S. District Judge Leonie Brinkema declined to require Google to sell AdX, the marketplace where publishers sell digital advertising inventory through real-time auctions. Instead, she adopted most of the behavioral remedies proposed by both sides.</p>



<ul class="wp-block-list">
<li>The DOJ and a coalition of states argued Google should be forced to divest AdX after the court found the company unlawfully tied publishers using its ad server to the exchange.</li>
</ul>



<p class="wp-block-paragraph"><strong>Monopoly ruling stands. </strong>The decision does not change Brinkema&#8217;s April 2025 ruling that Google illegally monopolized markets for publisher ad servers and ad exchanges. The judge previously found Google&#8217;s conduct harmed publishers, the competitive process, and consumers by locking publishers into using its advertising technology.</p>



<p class="wp-block-paragraph"><strong>Google argued against divestiture. </strong>Google said a forced sale would be technically difficult, create a lengthy transition, and ultimately harm customers. The company also argued the DOJ&#8217;s proposal differed from Google&#8217;s earlier offer to sell AdX during a European Union antitrust investigation.</p>



<ul class="wp-block-list">
<li>Ad Manager accounted for about 4.1% of Google&#8217;s revenue and 1.5% of operating profit in 2020, according to Wedbush research based on court documents. More recent financial figures were redacted.</li>
</ul>



<p class="wp-block-paragraph"><strong>What they&#8217;re saying.</strong> Google shared a <a href="https://x.com/NewsFromGoogle/status/2095170847694557309">statement on </a><a href="https://x.com/NewsFromGoogle/status/2095170847694557309" target="_blank" rel="noopener">X</a>, attributed to Lee-Anne Mulholland, Alphabet VP Regulatory Affairs:</p>



<ul class="wp-block-list">
<li>&#8220;We’re very pleased the Court rejected the DOJ&#8217;s proposal to break apart tools that help small businesses reach new customers and grow.&#8221;<a href="https://x.com/NewsFromGoogle/status/2095170847694557309"></a></li>
</ul>



<p class="wp-block-paragraph"><strong>Why we care. </strong>The court upheld its finding that Google violated antitrust law but stopped short of ordering the breakup the DOJ sought. The ruling leaves Google&#8217;s publisher ad tech business intact while relying on behavioral remedies instead of a forced sale.</p>


A federal judge rejected the U.S. Justice Department’s bid to force Google to sell its AdX advertising exchange. Google is allowed to keep the business despite an earlier ruling that it illegally monopolized parts of the publisher advertising technology market.
The decision leaves Google’s antitrust liability intact but rejects the DOJ’s request for a court-ordered divestiture.
Court ordered behavioral remedies. U.S. District Judge Leonie Brinkema declined to require Google to sell AdX, the marketplace where publishers sell digital advertising inventory through real-time auctions. Instead, she adopted most of the behavioral remedies proposed by both sides.
The DOJ and a coalition of states argued Google should be forced to divest AdX after the court found the company unlawfully tied publishers using its ad server to the exchange.
Monopoly ruling stands. The decision does not change Brinkema’s April 2025 ruling that Google illegally monopolized markets for publisher ad servers and ad exchanges. The judge previously found Google’s conduct harmed publishers, the competitive process, and consumers by locking publishers into using its advertising technology.
Google argued against divestiture. Google said a forced sale would be technically difficult, create a lengthy transition, and ultimately harm customers. The company also argued the DOJ’s proposal differed from Google’s earlier offer to sell AdX during a European Union antitrust investigation.
Ad Manager accounted for about 4.1% of Google’s revenue and 1.5% of operating profit in 2020, according to Wedbush research based on court documents. More recent financial figures were redacted.
What they’re saying. Google shared a statement on X, attributed to Lee-Anne Mulholland, Alphabet VP Regulatory Affairs:
“We’re very pleased the Court rejected the DOJ’s proposal to break apart tools that help small businesses reach new customers and grow.”
Why we care. The court upheld its finding that Google violated antitrust law but stopped short of ordering the breakup the DOJ sought. The ruling leaves Google’s publisher ad tech business intact while relying on behavioral remedies instead of a forced sale.

Judge keeps the monopoly finding intact, but chooses behavioral remedies over a forced AdX sale, preserving Google's ad exchange.

Google avoids AdX breakup in ad tech antitrust case

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20.png" class="attachment-large size-large wp-post-image" alt="Lily Ray Search Engine Land 20 for 20" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>From buying links to AI search, Lily Ray shares why lasting visibility comes from E-E-A-T, real expertise and earning recommendations.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20.png" class="attachment-large size-large wp-post-image" alt="Lily Ray Search Engine Land 20 for 20" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/lily-ray-search-engine-land-20-for-20-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<p><a href="https://www.youtube.com/embed/gRfP9sM_ZfA?feature=oembed" rel="noopener noreferrer">Watch this video on YouTube</a>
</div></figure>



<p class="wp-block-paragraph">



<p class="wp-block-paragraph">Early in Lily Ray’s SEO career, her CEO offered her a deal: Get the company to No. 1 in Google, and he’d buy her a drum set.</p>



<p class="wp-block-paragraph">This was around 2011. Ray had discovered that buying links worked. Really well. So she kept buying them.</p>



<p class="wp-block-paragraph">Then came Penguin.</p>



<ul class="wp-block-list">
<li>“I think it was August 2012. Went to work that day and all of our rankings disappeared,” Ray said.</li>
</ul>



<p class="wp-block-paragraph">The company had gone from ranking second, third, or fourth for nearly every keyword it cared about to being gone from the search results.</p>



<ul class="wp-block-list">
<li>“That was my first experience with algorithm updates, and that probably informed a lot of how I approach SEO to this day.”</li>
</ul>



<p class="wp-block-paragraph">More than a decade later, Ray is watching people experiment with generative AI, automated content, and GEO tactics.</p>



<ul class="wp-block-list">
<li>“Everyone’s looking for shortcuts, and I get it. There’s a lot of pressure right now, a lot of excitement with AI, and a lot of people want to see really fast results.</li>



<li>“I actually think trying to drive results quickly is one of the worst things you can do unless you’re only focused on results for the next year or two.”</li>
</ul>



<h2 id="h-from-penguin-to-e-e-a-t" class="wp-block-heading">From Penguin to E-E-A-T</h2>



<p class="wp-block-paragraph">Ray stumbled into SEO around 2010 while studying politics and Spanish at New York University. She found her first SEO job on Craigslist.</p>



<p class="wp-block-paragraph">Growing up near Silicon Valley with a software engineer father, Ray had learned about computers and HTML as a kid. SEO quickly showed her she could produce measurable results.</p>



<p class="wp-block-paragraph">She added meta keywords, picked up links from sites such as Reddit, StumbleUpon, and Digg, and watched traffic rise.</p>



<ul class="wp-block-list">
<li>“I can actually have an impact,” she remembered thinking.</li>
</ul>



<p class="wp-block-paragraph">Ray spent her first several years largely outside the SEO conference community. When she eventually started attending events, she saw stages dominated by older men and didn’t initially consider speaking herself.</p>



<p class="wp-block-paragraph">It took until around 2017 or 2018 for that to change.</p>



<ul class="wp-block-list">
<li>“I think it took until probably 2017 or 2018 to even consider that I had anything important to say.&#8221;</li>
</ul>



<p class="wp-block-paragraph">She was terrified of public speaking. Years later, she would keynote MozCon, a conference she had once attended while looking up to speakers such as Rand Fishkin and Cindy Krum.</p>



<ul class="wp-block-list">
<li>“You’re more valuable and have more valuable ideas and thoughts than you think you do. And other people want to hear them.”</li>
</ul>



<p class="wp-block-paragraph">Her approach to SEO was changing, too. After Penguin, Ray moved toward what she considered safer fundamentals: title tags, headings, image optimization, internal linking, and other on-site work.</p>



<p class="wp-block-paragraph">Then the 2018 Medic update hit one of her agency’s clients hard.</p>



<p class="wp-block-paragraph">Ray spent months trying to understand what Google was doing, digging into its Search Quality Rater Guidelines and E-A-T – expertise, authoritativeness, and trustworthiness, which Google later expanded to E-E-A-T with the addition of experience.</p>



<p class="wp-block-paragraph">E-E-A-T, Ray said, doesn’t work like optimizing a title tag or Core Web Vitals, where you have something more defined to work with.</p>



<ul class="wp-block-list">
<li>“You don’t have like, &#8216;I have good E-E-A-T.&#8217; It’s not just what you say on your website, it’s how other companies and brands and everybody evaluates – and reviewers and users evaluate – your brand.”</li>
</ul>



<p class="wp-block-paragraph">That includes how well-known and trusted a brand is and what customers say about it – factors Ray is now examining in AI search.</p>



<h2 id="h-the-helpful-content-update-changed-her-approach" class="wp-block-heading">The helpful content update changed her approach</h2>



<p class="wp-block-paragraph">The helpful content update presented Ray with a different problem.</p>



<p class="wp-block-paragraph">She spent hundreds of hours studying affected websites and, at the time, was vocal that she thought Google had gotten parts of the update wrong.</p>



<p class="wp-block-paragraph">Many sites that were taking advantage of Google’s algorithms deserved to lose visibility, she said. They had generic content, stock photography, and little evidence that real people were behind the work.</p>



<p class="wp-block-paragraph">But Ray also saw recipe bloggers, travel bloggers, and other site owners who appeared to be following much of Google’s guidance get hit.</p>



<ul class="wp-block-list">
<li>“I would say like maybe 40% of the sites that they went after were really trying to do things right.</li>



<li>“I talked to so many dozens of business owners who lost literally their entire livelihoods,” Ray said.</li>
</ul>



<p class="wp-block-paragraph">That experience continues to influence how she approaches SEO and GEO.</p>



<ul class="wp-block-list">
<li>“I don’t want anybody to get caught up in that again this time. If we see like the GEO atomic bomb update and anybody that’s been experimenting with GEO stuff has their site removed from Google Search – like, it sounds extreme, but there’s precedent for this.”</li>
</ul>



<h2 id="h-less-is-more" class="wp-block-heading">Less is more</h2>



<p class="wp-block-paragraph">Ray is particularly wary of using generative AI to scale content production.</p>



<p class="wp-block-paragraph">Automated workflows can make it tempting to publish enormous amounts of content, she said, especially when you believe your particular AI workflow produces something better than everyone else’s.</p>



<p class="wp-block-paragraph">But much of that content ends up “just saying what everybody else has already said.”</p>



<p class="wp-block-paragraph">Her approach today is more conservative.</p>



<ul class="wp-block-list">
<li>“Less is more. I don’t think that the best way to achieve SEO success right now is to create as much content as possible.”</li>
</ul>



<p class="wp-block-paragraph">Instead, she favors creating a smaller number of valuable assets, updating them over time, and building a presence beyond a company’s own website.</p>



<ul class="wp-block-list">
<li>“The sites that try to create as much content as possible eventually get burned, including very big brands.”</li>
</ul>



<h2 id="h-ai-search-has-its-own-spam-problem" class="wp-block-heading">AI search has its own spam problem</h2>



<p class="wp-block-paragraph">AI platforms are already confronting low-quality content.</p>



<p class="wp-block-paragraph">Ray said there is plenty of “spammy low-quality stuff” being cited by ChatGPT, while generative AI has made producing SEO spam easier than ever.</p>



<p class="wp-block-paragraph">She also saw early signs of AI platforms trying to improve their results. ChatGPT, for example, uses fan-out queries that restrict searches to specific domains.</p>



<ul class="wp-block-list">
<li>“I think this is going to be a really, really big challenge for them,” Ray said.</li>
</ul>



<p class="wp-block-paragraph">She also expected the tactics that work today to change.</p>



<ul class="wp-block-list">
<li>“Every single time we’re in this situation where there’s a lot of spam and it’s working really, really well, they come up with some solution where they crack down on it in a really big way,” Ray said of Google.</li>
</ul>



<h2 id="h-good-seo-still-matters-in-ai-search" class="wp-block-heading">Good SEO still matters in AI search</h2>



<p class="wp-block-paragraph">Ray strongly rejects another argument that has emerged with generative AI: that you can abandon SEO and focus exclusively on AI search.</p>



<p class="wp-block-paragraph">She called that idea “completely blatantly false.”</p>



<ul class="wp-block-list">
<li>“If you understood how AI search works, you would understand that SEO is more important than ever. The single best and most sustainable and important thing you can do for AI search visibility is good SEO.”</li>
</ul>



<p class="wp-block-paragraph">What Ray considers success, however, extends beyond traffic.</p>



<p class="wp-block-paragraph">For AI search, she said, winning means being recommended as the best or most relevant brand for the topics, products, and services a company wants to be known for.</p>



<p class="wp-block-paragraph">And she doesn’t mean publishing listicles that declare your company the best.</p>



<ul class="wp-block-list">
<li>“I think it’s earning that placement or that recommendation naturally, organically,” Ray said.</li>
</ul>



<p class="wp-block-paragraph">Over time, she expects LLMs and search engines to get better at demoting attempts to manipulate those recommendations.</p>



<ul class="wp-block-list">
<li>“I think that the ones that really truly are the best and that have been recommended as the best by their customers and everything over the years are the ones that are going to win.”</li>
</ul>



<h2 id="h-the-next-20-years" class="wp-block-heading">The next 20 years</h2>



<p class="wp-block-paragraph">Ray doesn’t pretend to know what search will look like 20 years from now. AI is changing too quickly for that.</p>



<p class="wp-block-paragraph">But she expects companies will still need to put information into whatever systems exist, and brands will still look for ways to optimize how they appear within them.</p>



<ul class="wp-block-list">
<li>“There’s always going to be manipulation and spam and everybody trying to hack the system.”</li>
</ul>



<p class="wp-block-paragraph">Ray ultimately brought the conversation back to quality:</p>



<ul class="wp-block-list">
<li>“What if you were to build a system that was trying to truly evaluate what the best service is? How do you make your service align with that?”</li>
</ul>


Watch this video on YouTube








Early in Lily Ray’s SEO career, her CEO offered her a deal: Get the company to No. 1 in Google, and he’d buy her a drum set.
This was around 2011. Ray had discovered that buying links worked. Really well. So she kept buying them.
Then came Penguin.
“I think it was August 2012. Went to work that day and all of our rankings disappeared,” Ray said.
The company had gone from ranking second, third, or fourth for nearly every keyword it cared about to being gone from the search results.
“That was my first experience with algorithm updates, and that probably informed a lot of how I approach SEO to this day.”
More than a decade later, Ray is watching people experiment with generative AI, automated content, and GEO tactics.
“Everyone’s looking for shortcuts, and I get it. There’s a lot of pressure right now, a lot of excitement with AI, and a lot of people want to see really fast results.
“I actually think trying to drive results quickly is one of the worst things you can do unless you’re only focused on results for the next year or two.”
From Penguin to E-E-A-T
Ray stumbled into SEO around 2010 while studying politics and Spanish at New York University. She found her first SEO job on Craigslist.
Growing up near Silicon Valley with a software engineer father, Ray had learned about computers and HTML as a kid. SEO quickly showed her she could produce measurable results.
She added meta keywords, picked up links from sites such as Reddit, StumbleUpon, and Digg, and watched traffic rise.
“I can actually have an impact,” she remembered thinking.
Ray spent her first several years largely outside the SEO conference community. When she eventually started attending events, she saw stages dominated by older men and didn’t initially consider speaking herself.
It took until around 2017 or 2018 for that to change.
“I think it took until probably 2017 or 2018 to even consider that I had anything important to say.”
She was terrified of public speaking. Years later, she would keynote MozCon, a conference she had once attended while looking up to speakers such as Rand Fishkin and Cindy Krum.
“You’re more valuable and have more valuable ideas and thoughts than you think you do. And other people want to hear them.”
Her approach to SEO was changing, too. After Penguin, Ray moved toward what she considered safer fundamentals: title tags, headings, image optimization, internal linking, and other on-site work.
Then the 2018 Medic update hit one of her agency’s clients hard.
Ray spent months trying to understand what Google was doing, digging into its Search Quality Rater Guidelines and E-A-T – expertise, authoritativeness, and trustworthiness, which Google later expanded to E-E-A-T with the addition of experience.
E-E-A-T, Ray said, doesn’t work like optimizing a title tag or Core Web Vitals, where you have something more defined to work with.
“You don’t have like, ‘I have good E-E-A-T.’ It’s not just what you say on your website, it’s how other companies and brands and everybody evaluates – and reviewers and users evaluate – your brand.”
That includes how well-known and trusted a brand is and what customers say about it – factors Ray is now examining in AI search.
The helpful content update changed her approach
The helpful content update presented Ray with a different problem.
She spent hundreds of hours studying affected websites and, at the time, was vocal that she thought Google had gotten parts of the update wrong.
Many sites that were taking advantage of Google’s algorithms deserved to lose visibility, she said. They had generic content, stock photography, and little evidence that real people were behind the work.
But Ray also saw recipe bloggers, travel bloggers, and other site owners who appeared to be following much of Google’s guidance get hit.
“I would say like maybe 40% of the sites that they went after were really trying to do things right.
“I talked to so many dozens of business owners who lost literally their entire livelihoods,” Ray said.
That experience continues to influence how she approaches SEO and GEO.
“I don’t want anybody to get caught up in that again this time. If we see like the GEO atomic bomb update and anybody that’s been experimenting with GEO stuff has their site removed from Google Search – like, it sounds extreme, but there’s precedent for this.”
Less is more
Ray is particularly wary of using generative AI to scale content production.
Automated workflows can make it tempting to publish enormous amounts of content, she said, especially when you believe your particular AI workflow produces something better than everyone else’s.
But much of that content ends up “just saying what everybody else has already said.”
Her approach today is more conservative.
“Less is more. I don’t think that the best way to achieve SEO success right now is to create as much content as possible.”
Instead, she favors creating a smaller number of valuable assets, updating them over time, and building a presence beyond a company’s own website.
“The sites that try to create as much content as possible eventually get burned, including very big brands.”
AI search has its own spam problem
AI platforms are already confronting low-quality content.
Ray said there is plenty of “spammy low-quality stuff” being cited by ChatGPT, while generative AI has made producing SEO spam easier than ever.
She also saw early signs of AI platforms trying to improve their results. ChatGPT, for example, uses fan-out queries that restrict searches to specific domains.
“I think this is going to be a really, really big challenge for them,” Ray said.
She also expected the tactics that work today to change.
“Every single time we’re in this situation where there’s a lot of spam and it’s working really, really well, they come up with some solution where they crack down on it in a really big way,” Ray said of Google.
Good SEO still matters in AI search
Ray strongly rejects another argument that has emerged with generative AI: that you can abandon SEO and focus exclusively on AI search.
She called that idea “completely blatantly false.”
“If you understood how AI search works, you would understand that SEO is more important than ever. The single best and most sustainable and important thing you can do for AI search visibility is good SEO.”
What Ray considers success, however, extends beyond traffic.
For AI search, she said, winning means being recommended as the best or most relevant brand for the topics, products, and services a company wants to be known for.
And she doesn’t mean publishing listicles that declare your company the best.
“I think it’s earning that placement or that recommendation naturally, organically,” Ray said.
Over time, she expects LLMs and search engines to get better at demoting attempts to manipulate those recommendations.
“I think that the ones that really truly are the best and that have been recommended as the best by their customers and everything over the years are the ones that are going to win.”
The next 20 years
Ray doesn’t pretend to know what search will look like 20 years from now. AI is changing too quickly for that.
But she expects companies will still need to put information into whatever systems exist, and brands will still look for ways to optimize how they appear within them.
“There’s always going to be manipulation and spam and everybody trying to hack the system.”
Ray ultimately brought the conversation back to quality:
“What if you were to build a system that was trying to truly evaluate what the best service is? How do you make your service align with that?”

From buying links to AI search, Lily Ray shares why lasting visibility comes from E-E-A-T, real expertise and earning recommendations.

Lily Ray on why shortcuts rarely win in SEO or AI search

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change.png" class="attachment-large size-large wp-post-image" alt="Evolving SEO for 2027: What still needs to change" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change.png 1920w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Search visibility now extends from Google results to AI citations and community conversations. Here’s where to focus your SEO effort in 2027.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change.png" class="attachment-large size-large wp-post-image" alt="Evolving SEO for 2027: What still needs to change" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change.png 1920w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2025/01/Evolving-SEO-for-2027-What-still-needs-to-change-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph"><a href="https://searchengineland.com/guide/what-is-seo">SEO</a> is becoming less about optimizing for a channel and more about understanding the user, wherever they look.</p>



<p class="wp-block-paragraph"><a href="https://searchengineland.com/guide/google-ai-overviews">AI Overviews</a> are no longer the experiment we were all watching. They launched in the U.S. in May 2024, got messy in public, and Google tightened the triggers. </p>



<p class="wp-block-paragraph">Google has since added <a href="https://searchengineland.com/guides/google-ai-mode">AI Mode</a>, a conversational layer on Search itself. Gemini now sits inside that layer, not only as a chatbot next to Search. </p>



<p class="wp-block-paragraph">Off Google, people are asking ChatGPT, Grok, Claude, and Perplexity the kinds of questions they used to type into a search box.</p>



<p class="wp-block-paragraph">You can have clean rankings, a tidy content calendar, and a keyword map that still &#8220;works&#8221; in Ahrefs or Semrush, and still lose the moment. The synthesized answer that never sends the click, or the random Reddit thread the model trusts more than your blog, can beat you on the referral metric. But did you win the brand battle?</p>



<h2 id="h-how-i-m-approaching-ai-now" class="wp-block-heading">How I&#8217;m approaching AI now</h2>



<p class="wp-block-paragraph">Millions of words have been written about AI Overviews. Google is synthesizing, citing, and keeping more of the session. Traditional SEO still matters because Google still sends the volume.</p>



<p class="wp-block-paragraph">In August, an analysis from Shopify found that AI-referred sessions to merchant storefronts grew <a href="https://searchengineland.com/shopify-ai-referrals-up-organic-search-leads-traffic-484962/">197% year over year in Q2</a>. Those shoppers converted at roughly twice the rate of organic visitors in research-heavy categories. Organic search still sent more traffic than all tracked AI platforms combined, while growing 12% on a much larger base. Shopify didn&#8217;t disclose the number of merchants in the dataset, so I&#8217;m treating the findings as directional.</p>



<p class="wp-block-paragraph">Shopify&#8217;s CTO, Mikhail Parakhin, said AI-referred sessions roughly tripled while organic search continued to grow on a larger base. AI is a faster-growing, higher-intent slice, while Google organic remains the lead engine. In taste-led categories, AI also brought in about 1.3 times more first-time customers, even when organic remained the bigger discovery channel.</p>



<p class="wp-block-paragraph">I don&#8217;t treat answer engine optimization as a completely separate project. I treat it as the same user understanding job, deployed on more surfaces. This means Google, LLMs, and the human platforms that those models digest: Reddit, YouTube, LinkedIn, etc. </p>



<p class="wp-block-paragraph">What&#8217;s important to remember is that what drives those external citations from these chatbots also changes rapidly and varies by category.</p>



<p class="wp-block-paragraph">Rather than chase every undefined ranking factor inside every model, we still start with three questions. </p>



<ul class="wp-block-list">
<li>What does the user need to know? </li>



<li>What can only we say (data, a method, a point of view)? </li>



<li>Where do people, and the models, go to believe it?</li>
</ul>


<a href="https://www.semrush.com/ai-seo/overview?utm_campaign=ic_sel_0101ai&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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<h2 id="h-llm-answers-vs-social-search" class="wp-block-heading">LLM answers vs. social search</h2>



<p class="wp-block-paragraph">LLMs compress many sources into one answer. Social and community search do the opposite. They surface a specific human, with a point of view, in a thread or a video.</p>



<p class="wp-block-paragraph">Users will take both. They&#8217;ll take the synthesized answer when they want orientation. They&#8217;ll take a <a href="https://searchengineland.com/social-search-brand-engagement-443241">Reddit thread, a TikTok, or a YouTube walkthrough</a> when they want to know what it feels like, what breaks, or who actually ships.</p>



<p class="wp-block-paragraph">Content from those platforms still shows up in classic SERPs and leaks into LLM answers. That&#8217;s why brand SEO and community presence aren&#8217;t a comms side quest. They&#8217;re how you stay in the answer when the click never happens.</p>



<p class="wp-block-paragraph">Non-brand keywords still matter, and brand plus community is what makes the rest durable. If the model can assemble a fine summary from 10 generic posts, the thing it still has trouble faking is a named person who used the product and will say what broke.</p>



<h2 id="h-priorities-that-still-hold" class="wp-block-heading">Priorities that still hold</h2>



<p class="wp-block-paragraph">Great SEO in 2027 still maps out a three-dimensional journey that spans&nbsp;<a href="https://searchengineland.com/search-everywhere-optimization-443738">more platforms than just&nbsp;Google</a>. Google remains the strongest single indicator of demand, but it isn&#8217;t the only place people discover and evaluate information.</p>



<p class="wp-block-paragraph">The starting question is no longer “Which keywords should I try to rank for?”</p>



<p class="wp-block-paragraph">Better questions now:</p>



<ul class="wp-block-list">
<li>If someone starts on Google, in AI Mode, or in ChatGPT, what can we do so the brand shows up and is worth citing?</li>



<li>What do people actually want to consume on Reddit, YouTube, and LinkedIn in our category?</li>



<li>What do people ask LLMs to provide, and do we have a primary-source answer or just another summary?</li>



<li>After the model answers, is there still a reason to click? If not, is this query even an acquisition opportunity?</li>
</ul>



<p class="wp-block-paragraph">Take the Semrush or Ahrefs list you built for the quarter and sort it into buckets: </p>



<ul class="wp-block-list">
<li>Still a click (comparison, pricing, implementation).</li>



<li>Answer-only (definitions, &#8216;what is&#8217;).</li>



<li>Community-owned (Reddit &#8216;has anyone used X&#8217;). </li>
</ul>



<p class="wp-block-paragraph">Stop writing thin articles for the middle bucket. Show up as a person in the last one. Spend the production time on the first.</p>



<p class="wp-block-paragraph">I&#8217;m still pushing brand search, user-behavior research, and real community engagement in the forums, Discords, and comment threads that buyers use. Unlinked mentions in trusted communities are an SEO-adjacent job, not a brand-marketing leftover. It&#8217;s better to build imperfect, but real brand discourse, versus astroturfing a soulless Quora thread that repeats your marketing copy.</p>



<p class="wp-block-paragraph">When we can go deep on a topic instead of spraying thin pages at head terms, we tend to see the same cluster cited across related prompts. That&#8217;s the version of topic authority that still pays. A 2,000-word &#8216;what is&#8217; that AI Overviews resolve will not.</p>



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<h2 id="h-what-the-past-year-clarified-about-seo" class="wp-block-heading">What the past year clarified about SEO</h2>



<p class="wp-block-paragraph">Three areas offer useful evidence for where SEO is heading: AI search, community engagement, and video.</p>



<h3 id="h-ai-search-gained-traction-beyond-google" class="wp-block-heading">AI search gained traction beyond Google</h3>



<p class="wp-block-paragraph">Non-Google AI search matters. ChatGPT is still the default consumer habit. Gemini grew as part of the Google ecosystem, and Grok is growing as its models become more advanced, but Perplexity stayed a research tool, not the platform that reordered the market.</p>



<h3 id="h-community-engagement-drives-business-growth" class="wp-block-heading">Community engagement drives business growth</h3>



<p class="wp-block-paragraph">AI content got better and more common. That made authentic, specific human voices more valuable. </p>



<p class="wp-block-paragraph">Community and unlinked mentions matter more for AI citation. The mentions that get reused in answers are the ones where someone with a name answered a real question.</p>



<h3 id="h-video-remains-a-powerful-way-to-stand-out" class="wp-block-heading">Video remains a powerful way to stand out</h3>



<p class="wp-block-paragraph">Generative video is in the market, and search systems increasingly treat <a href="https://searchengineland.com/seo-video-source-material-462137">video and transcripts as source material</a>. YouTube is showing up in classic results and, more often, as a <a href="https://searchengineland.com/youtube-seo-ai-overviews-467253">cited source in AI Overviews</a>.</p>



<p class="wp-block-paragraph">The brands that win on video now are the ones recording real experts, real product, and real walkthroughs, then giving those assets titles, transcripts, and chapters a model can retrieve. A generated clip with a stock voiceover doesn&#8217;t make you the primary source.</p>


<a href="https://www.semrush.com/ai-seo/overview?utm_campaign=ic_sel_0102ai&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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<h2 id="h-the-job-is-still-the-user" class="wp-block-heading">The job is still the user</h2>



<p class="wp-block-paragraph">User understanding is still the driving force. More surfaces, more algorithms, more ways to get the answer without a click. That should change the planning doc, not the job title.</p>



<p class="wp-block-paragraph">You&#8217;ll lose some blue-link traffic. That shouldn&#8217;t be the headline if conversions, pipeline, and CAC improve.</p>



<p class="wp-block-paragraph">If you only do one thing after this, rewrite your planning questions. Start with the user and the surface, not the keyword list.</p>

SEO is becoming less about optimizing for a channel and more about understanding the user, wherever they look.
AI Overviews are no longer the experiment we were all watching. They launched in the U.S. in May 2024, got messy in public, and Google tightened the triggers. 
Google has since added AI Mode, a conversational layer on Search itself. Gemini now sits inside that layer, not only as a chatbot next to Search. 
Off Google, people are asking ChatGPT, Grok, Claude, and Perplexity the kinds of questions they used to type into a search box.
You can have clean rankings, a tidy content calendar, and a keyword map that still “works” in Ahrefs or Semrush, and still lose the moment. The synthesized answer that never sends the click, or the random Reddit thread the model trusts more than your blog, can beat you on the referral metric. But did you win the brand battle?
How I’m approaching AI now
Millions of words have been written about AI Overviews. Google is synthesizing, citing, and keeping more of the session. Traditional SEO still matters because Google still sends the volume.
In August, an analysis from Shopify found that AI-referred sessions to merchant storefronts grew 197% year over year in Q2. Those shoppers converted at roughly twice the rate of organic visitors in research-heavy categories. Organic search still sent more traffic than all tracked AI platforms combined, while growing 12% on a much larger base. Shopify didn’t disclose the number of merchants in the dataset, so I’m treating the findings as directional.
Shopify’s CTO, Mikhail Parakhin, said AI-referred sessions roughly tripled while organic search continued to grow on a larger base. AI is a faster-growing, higher-intent slice, while Google organic remains the lead engine. In taste-led categories, AI also brought in about 1.3 times more first-time customers, even when organic remained the bigger discovery channel.
I don’t treat answer engine optimization as a completely separate project. I treat it as the same user understanding job, deployed on more surfaces. This means Google, LLMs, and the human platforms that those models digest: Reddit, YouTube, LinkedIn, etc. 
What’s important to remember is that what drives those external citations from these chatbots also changes rapidly and varies by category.
Rather than chase every undefined ranking factor inside every model, we still start with three questions. 
What does the user need to know? 
What can only we say (data, a method, a point of view)? 
Where do people, and the models, go to believe it?
AI recommends.
      
See your AI visibility
    
LLM answers vs. social search
LLMs compress many sources into one answer. Social and community search do the opposite. They surface a specific human, with a point of view, in a thread or a video.
Users will take both. They’ll take the synthesized answer when they want orientation. They’ll take a Reddit thread, a TikTok, or a YouTube walkthrough when they want to know what it feels like, what breaks, or who actually ships.
Content from those platforms still shows up in classic SERPs and leaks into LLM answers. That’s why brand SEO and community presence aren’t a comms side quest. They’re how you stay in the answer when the click never happens.
Non-brand keywords still matter, and brand plus community is what makes the rest durable. If the model can assemble a fine summary from 10 generic posts, the thing it still has trouble faking is a named person who used the product and will say what broke.
Priorities that still hold
Great SEO in 2027 still maps out a three-dimensional journey that spans more platforms than just Google. Google remains the strongest single indicator of demand, but it isn’t the only place people discover and evaluate information.
The starting question is no longer “Which keywords should I try to rank for?”
Better questions now:
If someone starts on Google, in AI Mode, or in ChatGPT, what can we do so the brand shows up and is worth citing?
What do people actually want to consume on Reddit, YouTube, and LinkedIn in our category?
What do people ask LLMs to provide, and do we have a primary-source answer or just another summary?
After the model answers, is there still a reason to click? If not, is this query even an acquisition opportunity?
Take the Semrush or Ahrefs list you built for the quarter and sort it into buckets: 
Still a click (comparison, pricing, implementation).
Answer-only (definitions, ‘what is’).
Community-owned (Reddit ‘has anyone used X’). 
Stop writing thin articles for the middle bucket. Show up as a person in the last one. Spend the production time on the first.
I’m still pushing brand search, user-behavior research, and real community engagement in the forums, Discords, and comment threads that buyers use. Unlinked mentions in trusted communities are an SEO-adjacent job, not a brand-marketing leftover. It’s better to build imperfect, but real brand discourse, versus astroturfing a soulless Quora thread that repeats your marketing copy.
When we can go deep on a topic instead of spraying thin pages at head terms, we tend to see the same cluster cited across related prompts. That’s the version of topic authority that still pays. A 2,000-word ‘what is’ that AI Overviews resolve will not.
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What the past year clarified about SEO
Three areas offer useful evidence for where SEO is heading: AI search, community engagement, and video.
AI search gained traction beyond Google
Non-Google AI search matters. ChatGPT is still the default consumer habit. Gemini grew as part of the Google ecosystem, and Grok is growing as its models become more advanced, but Perplexity stayed a research tool, not the platform that reordered the market.
Community engagement drives business growth
AI content got better and more common. That made authentic, specific human voices more valuable. 
Community and unlinked mentions matter more for AI citation. The mentions that get reused in answers are the ones where someone with a name answered a real question.
Video remains a powerful way to stand out
Generative video is in the market, and search systems increasingly treat video and transcripts as source material. YouTube is showing up in classic results and, more often, as a cited source in AI Overviews.
The brands that win on video now are the ones recording real experts, real product, and real walkthroughs, then giving those assets titles, transcripts, and chapters a model can retrieve. A generated clip with a stock voiceover doesn’t make you the primary source.
customers won’t either.
      
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The job is still the user
User understanding is still the driving force. More surfaces, more algorithms, more ways to get the answer without a click. That should change the planning doc, not the job title.
You’ll lose some blue-link traffic. That shouldn’t be the headline if conversions, pipeline, and CAC improve.
If you only do one thing after this, rewrite your planning questions. Start with the user and the surface, not the keyword list.

Search visibility now extends from Google results to AI citations and community conversations. Here’s where to focus your SEO effort in 2027.

Evolving SEO for 2027: What still needs to change

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1.png" class="attachment-large size-large wp-post-image" alt="Creative targeting is quietly fragmenting your Meta audiences" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Ten ads can behave like one when they make the same pitch. Give each buyer persona a distinct angle to expand your reach.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1.png" class="attachment-large size-large wp-post-image" alt="Creative targeting is quietly fragmenting your Meta audiences" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1.png 1920w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/09/Creative-targeting-is-quietly-fragmenting-your-Meta-audiences-1-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">It’s time to stop cloning your winning ad and start planning creative like a media buyer, with one distinct message for every audience you want to reach.</p>



<p class="wp-block-paragraph">Audience fragmentation has long been a structural problem in <a href="https://searchengineland.com/meta-ai-driven-advertising-system-andromeda-gem-468020">Meta advertising</a>: too many ad sets chasing overlapping audiences, splitting conversion data, and driving up costs. Meta addressed much of this by limiting interest targeting and pushing advertisers toward fewer, broader ad sets with Advantage+.</p>



<p class="wp-block-paragraph">Creative adds another layer of fragmentation. Meta’s AI now reads your creative to decide who sees each ad. Your creative is the targeting now. When multiple ads make the same pitch, they can end up reaching the same audience.</p>



<p class="wp-block-paragraph">Here’s how to spot creative-led fragmentation in your account and fix it by planning creative the way media buyers used to plan audiences.</p>



<h2 id="h-fragmentation-in-the-ad-set-structure" class="wp-block-heading">Fragmentation in the ad set structure</h2>



<p class="wp-block-paragraph">To understand the new fragmentation trap, it helps to remember why the old one was so expensive. Traditional fragmentation had two costs:</p>



<ul class="wp-block-list">
<li><strong>The overlapping audience trap:</strong> When five ad sets targeted overlapping interest audiences, they didn’t reach five different groups. They fought over the same users and inflated their cost per mille (CPMs) in the process.</li>



<li><strong>The learning phase trap:</strong> Every ad set needed enough conversions to exit the learning phase. Splitting your budget five ways meant none of them got there, so the algorithm never had enough clean data to optimize any of them well.</li>
</ul>



<p class="wp-block-paragraph">Today’s settings play a smaller role in deciding who sees your ads. Meta’s AI analyzes what each ad actually says and matches it to the users most likely to respond to that specific message.</p>



<p class="wp-block-paragraph">In practice, this means every ad functions as its own targeting criterion. For example, an ad that opens with a pain point should find problem-aware buyers. An ad built around social proof should find skeptics. An ad leading with a discount should find price-driven shoppers. This is what people mean when they say creative is the new targeting.</p>



<p class="wp-block-paragraph">The fragmentation problem occurs when you launch 10 ads that all essentially say the same thing. That’s because Meta doesn’t receive 10 targeting instructions. It receives one instruction repeated 10 times. All 10 ads are targeting the same portion of your market. They’re competing against each other in the auction, saturating that segment until it fatigues, and never actually touching your buyers.</p>



<p class="wp-block-paragraph">You end up paying more to reach fewer people while massive audience segments sit untouched. That’s fragmentation and why Meta suggested fewer ad sets and broader audiences. While that approach helps fix fragmentation at the account level, it doesn’t help clear up redundancies within the creative level.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/meta-ads-creative-diversity-485751">Meta Ads: Why creative diversity matters more than volume</a></em></strong>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0101ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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        See exactly how <span>your competitors win</span>.
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        Uncover the keywords, ads, landing pages, and strategies driving your competitors&#8217; paid search success—and find your next opportunity to outperform them.
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      <span id="semrush-one-cta">Analyze your competitors</span>
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<h2 id="h-how-to-spot-creative-fragmentation" class="wp-block-heading">How to spot creative fragmentation</h2>



<p class="wp-block-paragraph">Creative fragmentation doesn’t show up as a warning in Ads Manager. That’s not how you’re going to spot it. Instead, it shows up as a pattern across a few familiar metrics:</p>



<ul class="wp-block-list">
<li><strong>An increase in frequency coupled with stalled reach:</strong> If frequency keeps rising but reach doesn’t, it’s likely your ads are circling the same pool of people instead of expanding to new ones.</li>



<li><strong>An immediate plateau of newly launched ads:</strong> If new creative spikes briefly and then settles into the same performance as everything else, it’s likely cannibalizing your existing ads.</li>



<li><strong>Fatigue happening more quickly with new creative:</strong> When every ad hits the same segment, that segment burns out faster, so each new variation has a shorter shelf life than the last.</li>



<li><strong>A creep in CPCs without a cause:</strong> Similar ads bid against each other for the same impressions, and you pay the difference.</li>
</ul>



<h2 id="h-the-fix-plan-creative-like-a-media-buyer" class="wp-block-heading">The fix: Plan creative like a media buyer</h2>



<p class="wp-block-paragraph">The fix for this kind of fragmentation is something you may think you don&#8217;t need anymore: audience planning. Instead of building them in ad set settings, you build them into the creative. How do you do this?</p>



<h3 id="h-map-your-buyer-personas" class="wp-block-heading">Map your buyer personas</h3>



<p class="wp-block-paragraph">Define each distinct audience. For example, the problem-aware buyer, the skeptic, and the price-driven shopper. Most accounts think that they’re already doing this, when in reality, they’re often using creative that speaks to only one audience.</p>



<h3 id="h-assign-one-distinct-messaging-angle-per-persona" class="wp-block-heading">Assign one distinct messaging angle per persona</h3>



<p class="wp-block-paragraph">Each persona gets its own angle: a different hook, a different core message, and a different offer. If two ads could trade their first lines without anyone noticing, that’s a pretty strong indicator that they’re using the same angle. When each ad carries a genuinely different message, you’re giving Meta’s AI a reason to deliver each one to a different audience.</p>



<h3 id="h-give-each-audience-fresh-hooks-on-their-own-schedule" class="wp-block-heading">Give each audience fresh hooks on their own schedule</h3>



<p class="wp-block-paragraph">Audience segments fatigue at different speeds. The persona with the biggest population might sustain for weeks, while a narrow segment may burn out in days. Track the frequency and results for each audience separately. Then, when an ad starts to fatigue, you can write a new hook aimed at the same audience. The goal is to make sure every audience always has an ad talking to them.</p>



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<hr class="wp-block-separator has-text-color has-cyan-bluish-gray-color has-css-opacity has-cyan-bluish-gray-background-color has-background"/>



<h2 id="h-managing-creative-like-a-media-plan" class="wp-block-heading">Managing creative like a media plan</h2>



<p class="wp-block-paragraph">Once the angle-per-persona structure is in place, forming a few key habits will help keep fragmentation at bay:</p>



<ul class="wp-block-list">
<li><strong>Judge your ads as a group, not one by one:</strong> One winning ad isn&#8217;t the goal anymore because leaning on a single ad wears out one audience fast while leaving you in a blind spot for other audiences. Instead, look at all ads over your various audiences.</li>



<li><strong>Run a monthly overlap audit:</strong> List every live ad and group them by core messaging, ignoring format. If more than two or three ads are carrying the same message, this is your cue to consolidate them.</li>



<li><strong>Strengthen your first-party data:</strong> The AI matches creative to people using the conversion signal you feed it. Cleaner pixel and CRM data makes every angle’s audience matching sharper, which will also widen the performance gap between a differentiated account and one with repetitive messaging.</li>
</ul>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/how-to-read-meta-ads-metrics-like-a-system-not-a-scoreboard-470061">How to read Meta Ads metrics like a system, not a scoreboard</a></em></strong>



<h2 id="h-one-audience-per-ad-one-ad-per-audience" class="wp-block-heading">One audience per ad, one ad per audience</h2>



<p class="wp-block-paragraph">Winning advertisers will build creative libraries that function like media plans, with every persona named and addressed and no two ads fighting over the same buyer.</p>



<p class="wp-block-paragraph">Meta’s AI has decided that your creative is your targeting. You can ask one question of every ad before it launches: Who is this for that my other ads aren’t already reaching? If there’s no good answer, you don’t have a new ad. You have a new way to pay twice for the same audience.</p>

It’s time to stop cloning your winning ad and start planning creative like a media buyer, with one distinct message for every audience you want to reach.
Audience fragmentation has long been a structural problem in Meta advertising: too many ad sets chasing overlapping audiences, splitting conversion data, and driving up costs. Meta addressed much of this by limiting interest targeting and pushing advertisers toward fewer, broader ad sets with Advantage+.
Creative adds another layer of fragmentation. Meta’s AI now reads your creative to decide who sees each ad. Your creative is the targeting now. When multiple ads make the same pitch, they can end up reaching the same audience.
Here’s how to spot creative-led fragmentation in your account and fix it by planning creative the way media buyers used to plan audiences.
Fragmentation in the ad set structure
To understand the new fragmentation trap, it helps to remember why the old one was so expensive. Traditional fragmentation had two costs:
The overlapping audience trap: When five ad sets targeted overlapping interest audiences, they didn’t reach five different groups. They fought over the same users and inflated their cost per mille (CPMs) in the process.
The learning phase trap: Every ad set needed enough conversions to exit the learning phase. Splitting your budget five ways meant none of them got there, so the algorithm never had enough clean data to optimize any of them well.
Today’s settings play a smaller role in deciding who sees your ads. Meta’s AI analyzes what each ad actually says and matches it to the users most likely to respond to that specific message.
In practice, this means every ad functions as its own targeting criterion. For example, an ad that opens with a pain point should find problem-aware buyers. An ad built around social proof should find skeptics. An ad leading with a discount should find price-driven shoppers. This is what people mean when they say creative is the new targeting.
The fragmentation problem occurs when you launch 10 ads that all essentially say the same thing. That’s because Meta doesn’t receive 10 targeting instructions. It receives one instruction repeated 10 times. All 10 ads are targeting the same portion of your market. They’re competing against each other in the auction, saturating that segment until it fatigues, and never actually touching your buyers.
You end up paying more to reach fewer people while massive audience segments sit untouched. That’s fragmentation and why Meta suggested fewer ad sets and broader audiences. While that approach helps fix fragmentation at the account level, it doesn’t help clear up redundancies within the creative level.
Dig deeper: Meta Ads: Why creative diversity matters more than volume



  
your competitors win.
      
Analyze your competitors
    
How to spot creative fragmentation
Creative fragmentation doesn’t show up as a warning in Ads Manager. That’s not how you’re going to spot it. Instead, it shows up as a pattern across a few familiar metrics:
An increase in frequency coupled with stalled reach: If frequency keeps rising but reach doesn’t, it’s likely your ads are circling the same pool of people instead of expanding to new ones.
An immediate plateau of newly launched ads: If new creative spikes briefly and then settles into the same performance as everything else, it’s likely cannibalizing your existing ads.
Fatigue happening more quickly with new creative: When every ad hits the same segment, that segment burns out faster, so each new variation has a shorter shelf life than the last.
A creep in CPCs without a cause: Similar ads bid against each other for the same impressions, and you pay the difference.
The fix: Plan creative like a media buyer
The fix for this kind of fragmentation is something you may think you don’t need anymore: audience planning. Instead of building them in ad set settings, you build them into the creative. How do you do this?
Map your buyer personas
Define each distinct audience. For example, the problem-aware buyer, the skeptic, and the price-driven shopper. Most accounts think that they’re already doing this, when in reality, they’re often using creative that speaks to only one audience.
Assign one distinct messaging angle per persona
Each persona gets its own angle: a different hook, a different core message, and a different offer. If two ads could trade their first lines without anyone noticing, that’s a pretty strong indicator that they’re using the same angle. When each ad carries a genuinely different message, you’re giving Meta’s AI a reason to deliver each one to a different audience.
Give each audience fresh hooks on their own schedule
Audience segments fatigue at different speeds. The persona with the biggest population might sustain for weeks, while a narrow segment may burn out in days. Track the frequency and results for each audience separately. Then, when an ad starts to fatigue, you can write a new hook aimed at the same audience. The goal is to make sure every audience always has an ad talking to them.
Get the newsletter search marketers rely on.
 
				
				
			
See terms.
		
Managing creative like a media plan
Once the angle-per-persona structure is in place, forming a few key habits will help keep fragmentation at bay:
Judge your ads as a group, not one by one: One winning ad isn’t the goal anymore because leaning on a single ad wears out one audience fast while leaving you in a blind spot for other audiences. Instead, look at all ads over your various audiences.
Run a monthly overlap audit: List every live ad and group them by core messaging, ignoring format. If more than two or three ads are carrying the same message, this is your cue to consolidate them.
Strengthen your first-party data: The AI matches creative to people using the conversion signal you feed it. Cleaner pixel and CRM data makes every angle’s audience matching sharper, which will also widen the performance gap between a differentiated account and one with repetitive messaging.
Dig deeper: How to read Meta Ads metrics like a system, not a scoreboard



One audience per ad, one ad per audience
Winning advertisers will build creative libraries that function like media plans, with every persona named and addressed and no two ads fighting over the same buyer.
Meta’s AI has decided that your creative is your targeting. You can ask one question of every ad before it launches: Who is this for that my other ads aren’t already reaching? If there’s no good answer, you don’t have a new ad. You have a new way to pay twice for the same audience.

Ten ads can behave like one when they make the same pitch. Give each buyer persona a distinct angle to expand your reach.

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Read the Latest Trends and Headlines in Digital Marketing.

Here are some of the latest headlines on digital marketing insights, search, and ecommerce:

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Reach out with any questions you might have regarding how RSO can help you with digital marketing.

All About
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