<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-800x450.jpg" class="attachment-large size-large wp-post-image" alt="Search marketing jobs" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing-550x310.jpg 550w, https://searchengineland.com/wp-content/seloads/2021/10/hiring-in-search-marketing.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Land your next job in SEO or PPC. These brands and agencies are hiring to fill open search marketing positions right now.

Looking to take the next step in your search marketing career? 
Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.
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SEO Specialist (SEO and AI Search)
August 20, 2026 
Company: Happy CogSalary: $75,000 – $90,000Location: United States, USA, United StatesDate posted: August 20, 2026 The Role Search has changed more in the past two years than in the ten before it, and our clients feel it every week. They still want to rank in Google, but they are also asking why a competitor gets named in ChatGPT when they […]

Organic Growth Strategist
August 18, 2026 
Company: PrivateSalary: 85,000-100,000Location: Remote USDate posted: August 18, 2026About the company We are a growth agency that helps B2B software companies build organic acquisition programs designed to generate revenue across traditional search engines and generative AI platforms. Our remote team operates with a lean, highly collaborative mindset. Research, experimentation, and continuous improvement are central to how we work. We value […]

SEO Team Lead & Account Manager (Remote)
August 17, 2026 
Company: Lexigate LLCSalary: USD $80,000 – $100,000Location: Remote USDate posted: August 17, 2026Own the strategy. Own the relationship. Own the results. Most SEO roles hand you a slice of the work. This one hands you the whole story: the strategy behind a portfolio of clients, the team that brings it to life, and the client relationships that make it all […]

SEO Outreach Executive (Remote)
August 15, 2026 
Company: Pure Medical GroupSalary: £55,000 – £90,000 per year USDLocation: Remote, United StatesDate posted: August 15, 2026 The company Pure Medical is working to make the population of the United Kingdom healthier, providing a system of comprehensive balance, energy, and proactive healing that helps you to feel your best, achieve your full potential and accomplish more of the things you […]

Manager of SEO
August 13, 2026 
Company: DealerOnSalary: $69,800 – $102,600 a yearLocation: Remote, United StatesDate posted: August 13, 2026 About DealerOn We are an online marketing company providing website and agency services to automotive dealerships across North and South America. We are known for our cutting-edge products that streamline the car buying process and provide an experience both shoppers and dealers love. Our business model […]

Technical SEO Specialist
August 13, 2026 
Company: BOLDLocation: Remote, PolandDate posted: August 13, 2026 We are looking for a Technical SEO Specialist (Mid-level) to join our Technical SEO team. In this role, you will have a direct impact on the growth of our organic audience on several websites in English as well as multiple international SEO properties in non-English languages.   ABOUT THIS TEAM We are part […]

SEO Sales Representatives
August 12, 2026 
Company: PhilscienceSalary: 300 EUR plus 10% commissionLocation: Remote WorldwideDate posted: August 12, 2026We are hiring at PhilScience: SEO Sales Representatives (5 freelance remote positions) PhilScience is looking for freelance sales representatives with experience in SEO sales (particularly link-building) to help us extend our reach for the Citation-Based Academic Link Building (CBALB) service. This is a fully remote, freelance position based […]

Search Engine Optimization (SEO) Specialist
August 12, 2026 
Company: Air AppsLocation: Remote, United StatesDate posted: August 12, 2026About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in […]

Senior SEO & AI Search Strategist (GEO/AEO)
August 11, 2026 
Company: VirayoSalary: 120,000-140,000 USDLocation: Remote USDate posted: August 11, 2026We are seeking a senior-level AI Search Strategist (Generative/Answer Engine Optimization) to lead the development and execution of strategies to achieve visibility within AI Overviews (AIOs) and Large Language Models (LLMs), such as Gemini, ChatGPT, and Claude. This role is both strategic and client-facing. You will serve as the primary point […]

SEO & GEO Director
August 11, 2026 
Company: Search Marketing ProsSalary: $120,000 per year USDLocation: Remote, United StatesDate posted: August 11, 2026The Role We are hiring an SEO & GEO Director to own strategy, client outcomes, and team leadership across our full SEO book of business. This is not a delivery role – this is the person who sets the direction, holds the team accountable, and owns […]

Newest PPC and paid media jobs
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Growth Marketing Lead
August 20, 2026 
Company: Neura MarketSalary: $160,000 – $188,300Location: Brooklyn, NY, United StatesDate posted: August 20, 2026 Overview CoinTracker is on a mission to unlock everyone's financial potential so they can build the life they want. We started with crypto, building the tax and portfolio tools trusted by millions to make digital assets simple. Today, we're going further with Nino, our AI-powered financial […]

ISV Ecosystem Growth Marketing Manager
August 20, 2026 
Company: OktaSalary: $194,000 – $292,000Location: United States (residency required)Date posted: August 20, 2026 Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world […]

Associate Director, Paid Social
August 19, 2026 
Company: Real ChemistrySalary: $90,000-$115,000Location: United States (residency required)Date posted: August 19, 2026 At Real Chemistry, making the world a healthier place isn’t just an aspiration—it’s our everyday reality. Our drive to transform healthcare is informed by our blend of deep scientific expertise, human-centred creativity, and AI-driven insights, fostering a unique environment where innovation thrives and our people are impact-obsessed. As […]

Paid Media Strategist
August 19, 2026 
Company: Cardinal Group CareerSalary: $50,000- $60,000Location: United States (residency required)Date posted: August 19, 2026 Paid Media Strategist COMPENSATION: Pursuant to Colorado regulations, if this job is performed in Colorado, the salary range is $50,000- $60,000 plus bonus potential. âEligible to participate in the company benefits plan. We offer health, vision, dental, and pet insurance. We offer a 401(k) retirement plan, […]

Manager, Lifecycle & Digital Growth Marketing
August 18, 2026 
Company: RedzoneSalary: $120,000 – $130,000Location: United States (residency required)Date posted: August 18, 2026Job Description Job Description Company Description Redzone, the Connected Workforce business unit within QAD | Redzone, helps manufacturers make more products for less while greatly improving the employee experience. While there is a lot of hype around digital transformation, the factory of the future, and Industry 4.0, the […]

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SEO and GEO Manager Halstead Media (Remote)
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Own SEO and GEO strategy and performance across an assigned portfolio of clients
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Paid Media Manager (SEM/PPC), YPM (Irvine, CA)
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Build, launch, manage and optimize across multiple paid digital channels / search engine platforms media plans (Google, Bing, etc.) in varying verticals.
Develop and maintain strong, key relationships with clients/brands; communicate with clients and respective Google reps on strategic direction of PPC campaign initiatives, identifying key findings and recommendations.
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Develop multi-month strategic plans that demonstrate exceptional foresight & prioritization, ensuring elk & client teams are aligned and executing strategic implementation effectively & efficiently
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Note: We update this post weekly. So make sure to bookmark this page and check back.

Land your next job in SEO or PPC. These brands and agencies are hiring to fill open search marketing positions right now.

The latest jobs in search marketing

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Microsoft will remove Max CPC controls from new campaigns using several standalone automated bidding strategies starting Oct. 1.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Adv-CPC-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Microsoft Advertising will stop allowing advertisers to set Max CPC limits on new campaigns using several standalone automated bidding strategies starting Oct. 1, as the platform pushes advertisers toward conversion-based targets and other automated bidding controls.</p>



<p class="wp-block-paragraph">Existing campaigns with Max CPC limits won&#8217;t immediately lose them, while portfolio bid strategies and several other bidding strategies will retain the option.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> This removes another manual control from Microsoft&#8217;s automated bidding strategies. Advertisers that use Max CPC as a safeguard against unexpectedly expensive clicks will have less direct control when creating certain new campaigns and will instead need to rely more heavily on budgets and conversion-based targets. </p>



<p class="wp-block-paragraph">Whether that produces better results will depend on the quality of an advertiser&#8217;s conversion data, the targets they set and how effectively Microsoft&#8217;s bidding system responds to those signals.</p>



<p class="wp-block-paragraph"><strong>What’s changing.</strong> Starting Oct. 1st, advertisers creating new campaigns using standalone Maximize Conversions, Maximize Conversion Value and Maximize Clicks bidding strategies will no longer be able to add a Max CPC.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="588" height="825" src="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-Max-CPC.png" alt="" class="wp-image-485599"/></figure>
</div>


<p class="wp-block-paragraph">Existing campaigns created before the deadline will retain their Max CPC settings. Microsoft Advertising Product Liaison Navah Hopkins also confirmed that Target Impression Share, eCPC and portfolio bidding strategies will continue to support Max CPC controls.</p>



<p class="wp-block-paragraph"><strong>Why Microsoft is making the change.</strong> Microsoft says Max CPC limits can interfere with automated bidding by overriding an advertiser&#8217;s stated performance goals and potentially creating spend pacing irregularities.</p>



<p class="wp-block-paragraph">The company says advertisers using conversion-based bidding with target CPA (tCPA) and target ROAS (tROAS) tend to have an easier time achieving their goals than advertisers relying on legacy controls such as Max CPC.</p>



<p class="wp-block-paragraph">Instead of CPC caps, Microsoft wants advertisers to communicate their objectives through controls more closely tied to business outcomes, including budgets, tCPA, tROAS, conversion value rules and seasonality adjustments.</p>



<p class="wp-block-paragraph"><strong>What happens to existing campaigns.</strong> There&#8217;s no immediate migration for campaigns already using Max CPC. Campaigns created before Oct. 1 will continue to retain the bidding control.</p>



<p class="wp-block-paragraph">That creates an important distinction between existing and newly created campaigns: advertisers won&#8217;t necessarily lose Max CPC across their accounts on Oct. 1, but their ability to use it when building certain new campaigns will disappear.</p>



<p class="wp-block-paragraph">Microsoft says further updates about the future of Max CPC will be provided later.</p>



<p class="wp-block-paragraph"><strong>Get ahead of the change.</strong> Hopkins is encouraging advertisers to use optimization experiments to test removing Max CPC from existing campaigns before the deadline.</p>



<p class="wp-block-paragraph">Doing so could give advertisers an indication of how campaigns perform when automated bidding has greater freedom, before the option disappears from newly created standalone campaigns.</p>



<p class="wp-block-paragraph">That may be particularly relevant heading into the holiday season, when advertisers could otherwise encounter the new restriction while launching or restructuring campaigns.</p>



<p class="wp-block-paragraph"><strong>Targets become the primary lever.</strong> Microsoft is encouraging advertisers to think of tCPA and tROAS as their primary volume and value levers, rather than trying to control automated bidding through individual CPC limits.</p>



<p class="wp-block-paragraph">Hopkins also noted that Microsoft Advertising can allow campaigns to outperform their tCPA or tROAS targets regardless of whether they&#8217;re limited by budget. Where appropriate, Microsoft recommends using conversion value rules to provide the bidding algorithm with additional information about which conversions are more valuable to the business.</p>



<p class="wp-block-paragraph"><strong>Bottom line.</strong> Microsoft Advertising is making automated bidding more target-driven by phasing Max CPC out of new standalone Maximize Conversions, Maximize Conversion Value and Maximize Clicks campaigns from Oct. 1 — while, for now, preserving the control for existing campaigns and portfolio strategies.</p>



<p class="wp-block-paragraph"><strong>Dig deeper.</strong> <a href="https://www.linkedin.com/posts/navahhopkins_microsoft-advertising-is-investing-extensively-share-7496203436984627201-uiIA/">Updates to Max CPC for new campaigns</a>


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Microsoft Advertising will stop allowing advertisers to set Max CPC limits on new campaigns using several standalone automated bidding strategies starting Oct. 1, as the platform pushes advertisers toward conversion-based targets and other automated bidding controls.
Existing campaigns with Max CPC limits won’t immediately lose them, while portfolio bid strategies and several other bidding strategies will retain the option.
Why we care. This removes another manual control from Microsoft’s automated bidding strategies. Advertisers that use Max CPC as a safeguard against unexpectedly expensive clicks will have less direct control when creating certain new campaigns and will instead need to rely more heavily on budgets and conversion-based targets. 
Whether that produces better results will depend on the quality of an advertiser’s conversion data, the targets they set and how effectively Microsoft’s bidding system responds to those signals.
What’s changing. Starting Oct. 1st, advertisers creating new campaigns using standalone Maximize Conversions, Maximize Conversion Value and Maximize Clicks bidding strategies will no longer be able to add a Max CPC.




Existing campaigns created before the deadline will retain their Max CPC settings. Microsoft Advertising Product Liaison Navah Hopkins also confirmed that Target Impression Share, eCPC and portfolio bidding strategies will continue to support Max CPC controls.
Why Microsoft is making the change. Microsoft says Max CPC limits can interfere with automated bidding by overriding an advertiser’s stated performance goals and potentially creating spend pacing irregularities.
The company says advertisers using conversion-based bidding with target CPA (tCPA) and target ROAS (tROAS) tend to have an easier time achieving their goals than advertisers relying on legacy controls such as Max CPC.
Instead of CPC caps, Microsoft wants advertisers to communicate their objectives through controls more closely tied to business outcomes, including budgets, tCPA, tROAS, conversion value rules and seasonality adjustments.
What happens to existing campaigns. There’s no immediate migration for campaigns already using Max CPC. Campaigns created before Oct. 1 will continue to retain the bidding control.
That creates an important distinction between existing and newly created campaigns: advertisers won’t necessarily lose Max CPC across their accounts on Oct. 1, but their ability to use it when building certain new campaigns will disappear.
Microsoft says further updates about the future of Max CPC will be provided later.
Get ahead of the change. Hopkins is encouraging advertisers to use optimization experiments to test removing Max CPC from existing campaigns before the deadline.
Doing so could give advertisers an indication of how campaigns perform when automated bidding has greater freedom, before the option disappears from newly created standalone campaigns.
That may be particularly relevant heading into the holiday season, when advertisers could otherwise encounter the new restriction while launching or restructuring campaigns.
Targets become the primary lever. Microsoft is encouraging advertisers to think of tCPA and tROAS as their primary volume and value levers, rather than trying to control automated bidding through individual CPC limits.
Hopkins also noted that Microsoft Advertising can allow campaigns to outperform their tCPA or tROAS targets regardless of whether they’re limited by budget. Where appropriate, Microsoft recommends using conversion value rules to provide the bidding algorithm with additional information about which conversions are more valuable to the business.
Bottom line. Microsoft Advertising is making automated bidding more target-driven by phasing Max CPC out of new standalone Maximize Conversions, Maximize Conversion Value and Maximize Clicks campaigns from Oct. 1 — while, for now, preserving the control for existing campaigns and portfolio strategies.
Dig deeper. Updates to Max CPC for new campaigns



  
your competitors win.
      
Analyze your competitors

Microsoft will remove Max CPC controls from new campaigns using several standalone automated bidding strategies starting Oct. 1.

Microsoft Advertising removes Max CPC from new standalone bidding campaigns

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Readers who click on the Google Preferred Source won't have to leave your page anymore.

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/08/google-button-hero-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Google is <a href="https://blog.google/products-and-platforms/products/search/personalize-search-discover-news">offering</a> a new Preferred Source button for publishers that makes the subscription process smoother while keeping readers on your site.</p>



<p class="wp-block-paragraph">Now when a user clicks on the Preferred Source button, it adds the site as a Preferred Source on Google and immediately directs them back to where they left off on the publisher’s page. </p>



<p class="wp-block-paragraph"><strong>What it looks like. </strong>Here is the user flow, showing on the left the &#8220;Add to Preferred Sources&#8221; Google button on the web page, then it opens up a page that lets you click &#8220;Add&#8221; to add that site as a Preferred Source on Google. After you click the &#8220;Add&#8221; button, you are taken right back to the page you were reading, on that publishers site.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1321" height="887" src="https://searchengineland.com/wp-content/seloads/2026/08/google-preferred-source-flow.png" alt="" class="wp-image-485549" srcset="https://searchengineland.com/wp-content/seloads/2026/08/google-preferred-source-flow.png 1321w, https://searchengineland.com/wp-content/seloads/2026/08/google-preferred-source-flow-768x516.png 768w" sizes="(max-width: 1321px) 100vw, 1321px" /></figure>



<p class="wp-block-paragraph"><strong>The code. </strong>You can grab the new embed code on the Google <a href="https://developers.google.com/search/docs/appearance/preferred-sources">help documentation</a>.</p>



<p class="wp-block-paragraph"><strong>Preferred Sources.&nbsp;</strong>Preferred Sources let searchers star publications in the&nbsp;<em>Top Stories</em>&nbsp;section of Google Search, and Google uses that signal to show more stories from those starred outlets. The feature entered&nbsp;<a href="https://searchengineland.com/google-search-tests-preferred-sources-for-top-stories-457640">beta in June</a> of 2025, rolled out in the U.S. and India in&nbsp;<a href="https://searchengineland.com/google-preferred-sources-rolling-out-in-us-and-india-460631">August</a>, and is now expanding globally. Google rolled out&nbsp;<a href="https://searchengineland.com/google-rolling-out-preferred-sources-globally-and-announces-spotlighting-subscriptions-465975">preferred sources globally</a>&nbsp;in December 2025 and then in May, Google enabled it for <a href="https://searchengineland.com/google-preferred-sources-now-works-for-all-languages-476051">all languages</a>.</p>



<p class="wp-block-paragraph"><strong>Growing feature. </strong>Google also said that so far &#8220;people have already selected more than 600,000 unique sources.&#8221; So it seems like users are using this feature. In May 2026, Google said that number was 200,000, that is a 200% increase. </p>



<p class="wp-block-paragraph"><strong>Why we care.&nbsp;</strong>Traffic from Google Search is hard and if you can get your readers, loyal readers, to make your site a preferred source, that can help. Google said those users are twice as likely to click, which can help drive more traffic.</p>



<p class="wp-block-paragraph">So add the preferred source icon to your site and encourage users to sign up. You can make Search Engine Land a preferred source by&nbsp;<a href="https://www.google.com/preferences/source?q=searchengineland.com">clicking here</a>.</p>


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Google is offering a new Preferred Source button for publishers that makes the subscription process smoother while keeping readers on your site.
Now when a user clicks on the Preferred Source button, it adds the site as a Preferred Source on Google and immediately directs them back to where they left off on the publisher’s page. 
What it looks like. Here is the user flow, showing on the left the “Add to Preferred Sources” Google button on the web page, then it opens up a page that lets you click “Add” to add that site as a Preferred Source on Google. After you click the “Add” button, you are taken right back to the page you were reading, on that publishers site.




The code. You can grab the new embed code on the Google help documentation.
Preferred Sources. Preferred Sources let searchers star publications in the Top Stories section of Google Search, and Google uses that signal to show more stories from those starred outlets. The feature entered beta in June of 2025, rolled out in the U.S. and India in August, and is now expanding globally. Google rolled out preferred sources globally in December 2025 and then in May, Google enabled it for all languages.
Growing feature. Google also said that so far “people have already selected more than 600,000 unique sources.” So it seems like users are using this feature. In May 2026, Google said that number was 200,000, that is a 200% increase. 
Why we care. Traffic from Google Search is hard and if you can get your readers, loyal readers, to make your site a preferred source, that can help. Google said those users are twice as likely to click, which can help drive more traffic.
So add the preferred source icon to your site and encourage users to sign up. You can make Search Engine Land a preferred source by clicking here.
customers find first.
      
Start your free trial

Readers who click on the Google Preferred Source won't have to leave your page anymore.

Google makes the Preferred Source button more seamless

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google said this helps you customize your Discover feed "with content that genuinely matches what you care about right now."

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/08/google-voice-wave-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Google Discover will allow you to use conversational search to customize your feed to content that better matches your desired topics.  </p>



<p class="wp-block-paragraph">Google <a href="https://blog.google/products-and-platforms/products/search/personalize-search-discover-news">wrote</a>, &#8220;you’ll be able to tap any three-dot menu in your feed to tell Google the exact topics or links you want to see more (or less) of, in your words.&#8221; </p>



<p class="wp-block-paragraph"><strong>How it works. </strong>Google will use the words you enter to customer your feed. Google said:</p>



<ul class="wp-block-list">
<li>&#8220;Your feed will adjust on the fly, and remember your requests. By letting you refine your tastes in real time, Discover can connect you with content that genuinely matches what you care about right now.</li>
</ul>



<p class="wp-block-paragraph"><strong>Video. </strong>Here is a video of it in action:</p>



<figure class="wp-block-video"><video height="1080" width="1920" controls src="https://searchengineland.com/wp-content/seloads/2026/08/Discover-mp4-_-GIF-16x9-1.mp4"></video></figure>



<p class="wp-block-paragraph"><strong>Why we care. </strong>This may be a good way for your content team to discover very niche types of content, and give them inspiration on new topics to write about.  It also may be a good way for people to discover your content within Google Discover.</p>


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Google Discover will allow you to use conversational search to customize your feed to content that better matches your desired topics.  
Google wrote, “you’ll be able to tap any three-dot menu in your feed to tell Google the exact topics or links you want to see more (or less) of, in your words.” 
How it works. Google will use the words you enter to customer your feed. Google said:
“Your feed will adjust on the fly, and remember your requests. By letting you refine your tastes in real time, Discover can connect you with content that genuinely matches what you care about right now.
Video. Here is a video of it in action:




Why we care. This may be a good way for your content team to discover very niche types of content, and give them inspiration on new topics to write about.  It also may be a good way for people to discover your content within Google Discover.
AI recommends.
      
See your AI visibility

Google said this helps you customize your Discover feed "with content that genuinely matches what you care about right now."

Google Discover lets you customize your feed using conversational search

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Meta AI can now analyze Meta Ads performance, recommend campaign optimizations and automate reporting for advertisers.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Meta-AI-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Meta is expanding Meta AI for small businesses, giving advertisers the ability to connect their Meta ad campaigns and Google Workspace data directly to the AI assistant for campaign analysis, optimization and automated reporting.</p>



<p class="wp-block-paragraph">The new capabilities are rolling out across Meta AI on the web, mobile and desktop, giving paid media advertisers another AI-powered tool for understanding performance and identifying potential campaign changes.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> Meta is bringing generative AI closer to the day-to-day work of paid media management. Being able to interrogate campaign data, identify struggling creative, assess audiences and budgets, and automatically produce reports could significantly reduce manual analysis. </p>



<p class="wp-block-paragraph">But the bigger question will be how reliable Meta AI&#8217;s recommendations are — particularly when it&#8217;s effectively advising advertisers how to spend more efficiently on Meta&#8217;s own advertising platform.</p>



<p class="wp-block-paragraph"><strong>What’s new.</strong> Advertisers can choose to connect Meta AI directly to their Meta ad campaigns and Google Workspace, including Gmail, Docs, Sheets and Slides.</p>



<p class="wp-block-paragraph">This gives Meta AI more business context when answering questions about advertising performance and allows marketers to analyze campaign data conversationally instead of manually digging through individual reports.</p>



<p class="wp-block-paragraph"><strong>Campaign optimization.</strong> Meta AI can analyze Meta Ads performance and surface recommendations about what advertisers could change next.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="961" height="678" src="https://searchengineland.com/wp-content/seloads/2026/08/MEta-AI-campaign-management.png" alt="" class="wp-image-485591" srcset="https://searchengineland.com/wp-content/seloads/2026/08/MEta-AI-campaign-management.png 961w, https://searchengineland.com/wp-content/seloads/2026/08/MEta-AI-campaign-management-768x542.png 768w" sizes="(max-width: 961px) 100vw, 961px" /></figure>



<p class="wp-block-paragraph">Meta says the assistant can identify which audiences are delivering results, uncover patterns across top-performing creative, flag ads that may no longer be resonating and identify areas where campaign budgets could potentially work harder.</p>



<p class="wp-block-paragraph"><strong>Creative analysis.</strong> The update also gives advertisers another way to diagnose creative performance.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="414" height="753" src="https://searchengineland.com/wp-content/seloads/2026/08/MEta-AI-creative-analysis.png" alt="" class="wp-image-485590"/></figure>
</div>


<p class="wp-block-paragraph">Rather than simply showing which ads are performing best or worst, Meta says its AI can identify patterns in successful content and help explain why certain creative may have stopped resonating. That could help advertisers decide which concepts to scale, refresh or replace.</p>



<p class="wp-block-paragraph"><strong>Budget insights.</strong> Meta AI can also analyze where advertising budgets are generating results and highlight areas where spend could potentially be used more effectively.</p>



<p class="wp-block-paragraph">That brings AI-generated optimization recommendations closer to the campaign data itself, although advertisers will still need to determine whether suggested changes align with profitability, incrementality and wider business objectives.</p>



<p class="wp-block-paragraph"><strong>From analysis to reports.</strong> Meta AI can turn its analysis into decks, documents and spreadsheets, combining business information with other available context.</p>



<p class="wp-block-paragraph">For paid media teams, that could reduce some of the manual work involved in transforming campaign analysis into client reports, internal presentations or performance spreadsheets.</p>



<p class="wp-block-paragraph"><strong>Recurring analysis.</strong> Advertisers can also set up recurring tasks and reminders, potentially turning one-off campaign analysis into an ongoing workflow.</p>



<p class="wp-block-paragraph">Instead of repeatedly requesting the same performance analysis, for example, a marketer could have Meta AI regularly review how the business is performing and provide updated reports.</p>



<p class="wp-block-paragraph"><strong>Google Workspace integration.</strong> Connecting Google Workspace could make the feature particularly useful for advertisers whose campaign planning, reporting and business information already live across Gmail, Docs, Sheets and Slides.</p>



<p class="wp-block-paragraph">Bringing those sources together with Meta Ads data could give the assistant more context when producing reports or answering questions about performance.</p>



<p class="wp-block-paragraph"><strong>Bottom line.</strong> <a href="https://www.facebook.com/business/news/new-meta-ai-features-for-small-business">Meta AI is becoming more directly involved in paid media workflows</a>, moving beyond general assistance to analyzing Meta Ads performance, recommending optimizations and automating reporting for advertisers.</p>


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Meta is expanding Meta AI for small businesses, giving advertisers the ability to connect their Meta ad campaigns and Google Workspace data directly to the AI assistant for campaign analysis, optimization and automated reporting.
The new capabilities are rolling out across Meta AI on the web, mobile and desktop, giving paid media advertisers another AI-powered tool for understanding performance and identifying potential campaign changes.
Why we care. Meta is bringing generative AI closer to the day-to-day work of paid media management. Being able to interrogate campaign data, identify struggling creative, assess audiences and budgets, and automatically produce reports could significantly reduce manual analysis. 
But the bigger question will be how reliable Meta AI’s recommendations are — particularly when it’s effectively advising advertisers how to spend more efficiently on Meta’s own advertising platform.
What’s new. Advertisers can choose to connect Meta AI directly to their Meta ad campaigns and Google Workspace, including Gmail, Docs, Sheets and Slides.
This gives Meta AI more business context when answering questions about advertising performance and allows marketers to analyze campaign data conversationally instead of manually digging through individual reports.
Campaign optimization. Meta AI can analyze Meta Ads performance and surface recommendations about what advertisers could change next.




Meta says the assistant can identify which audiences are delivering results, uncover patterns across top-performing creative, flag ads that may no longer be resonating and identify areas where campaign budgets could potentially work harder.
Creative analysis. The update also gives advertisers another way to diagnose creative performance.




Rather than simply showing which ads are performing best or worst, Meta says its AI can identify patterns in successful content and help explain why certain creative may have stopped resonating. That could help advertisers decide which concepts to scale, refresh or replace.
Budget insights. Meta AI can also analyze where advertising budgets are generating results and highlight areas where spend could potentially be used more effectively.
That brings AI-generated optimization recommendations closer to the campaign data itself, although advertisers will still need to determine whether suggested changes align with profitability, incrementality and wider business objectives.
From analysis to reports. Meta AI can turn its analysis into decks, documents and spreadsheets, combining business information with other available context.
For paid media teams, that could reduce some of the manual work involved in transforming campaign analysis into client reports, internal presentations or performance spreadsheets.
Recurring analysis. Advertisers can also set up recurring tasks and reminders, potentially turning one-off campaign analysis into an ongoing workflow.
Instead of repeatedly requesting the same performance analysis, for example, a marketer could have Meta AI regularly review how the business is performing and provide updated reports.
Google Workspace integration. Connecting Google Workspace could make the feature particularly useful for advertisers whose campaign planning, reporting and business information already live across Gmail, Docs, Sheets and Slides.
Bringing those sources together with Meta Ads data could give the assistant more context when producing reports or answering questions about performance.
Bottom line. Meta AI is becoming more directly involved in paid media workflows, moving beyond general assistance to analyzing Meta Ads performance, recommending optimizations and automating reporting for advertisers.
a customer you lose.
      
See who’s stealing your traffic

Meta AI can now analyze Meta Ads performance, recommend campaign optimizations and automate reporting for advertisers.

Meta AI can now analyze and optimize Meta Ads campaigns

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="How to measure lead quality in Google Ads" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Connect your CRM to Google Ads, define qualified leads, and optimize campaigns around the leads that actually drive business value.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="How to measure lead quality in Google Ads" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-measure-lead-quality-in-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">After years of <a href="https://searchengineland.com/auditing-optimizing-google-ads-limited-data-461528">auditing Google Ads</a> accounts, one thing continues to surprise me. So many customer relationship management (CRM) tools still aren&#8217;t talking to Google Ads.</p>



<p class="wp-block-paragraph">Somewhere between the form submission and the sales pipeline, <a href="https://searchengineland.com/improve-ppc-lead-quality-431009">lead quality</a> data just disappears. Yet that data is one of the most valuable signals Google Ads could learn from.</p>



<p class="wp-block-paragraph">But what happens to those leads once they reach the CRM is also, at least partly, our responsibility as Google Ads managers. In addition to generating leads, we need to measure lead quality and track whether they turn into business.</p>



<h2 id="h-why-lead-volume-isn-t-enough-anymore" class="wp-block-heading">Why lead volume isn&#8217;t enough anymore</h2>



<p class="wp-block-paragraph">For years, getting more leads has been treated as a sign of good campaign performance. It’s an easy trap to fall into, especially when you start measuring your own performance by more conversions, graphs moving in the right direction, and even that reassuring Excellent ad strength rating from Google Ads.</p>



<p class="wp-block-paragraph">But a lead isn’t a sale. And two leads can be worth wildly different amounts to a business.</p>



<p class="wp-block-paragraph">This is why we should prioritize qualified leads. But how do we define that?</p>



<p class="wp-block-paragraph">More budget? The right location? A specific service? Someone ready to buy now? It can mean completely different things from one business to another.</p>



<p class="wp-block-paragraph">If you can&#8217;t define and measure what a qualified lead is, you can&#8217;t optimize for it. And if Google Ads only sees the form submission, it’ll optimize for more of the same.</p>



<p class="wp-block-paragraph">Instead, Google Ads needs to know what happens afterward.</p>


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<h2 id="h-how-to-measure-lead-quality-for-google-ads" class="wp-block-heading">How to measure lead quality for Google Ads</h2>



<p class="wp-block-paragraph">In three steps, you can connect your data, define what a qualified lead means, and optimize Google Ads for lead value.</p>



<h3 id="h-1-connect-your-crm-back-to-google-ads" class="wp-block-heading">1. Connect your CRM back to Google Ads</h3>



<p class="wp-block-paragraph">The first step is connecting your CRM data to Google Ads. This tells Google which leads became qualified, which turned into customers, and which went nowhere.</p>



<ul class="wp-block-list">
<li><strong>Capture the lead:</strong> When someone submits a form, capture the information Google will need to identify that lead later, such as the GCLID, email, or phone number.</li>



<li><strong>Track what happens next:</strong> Monitor how the lead moves through your CRM from new lead to qualified lead to customer.</li>



<li><strong>Confirm the outcome:</strong> Tell Google Ads whether that lead became qualified, turned into a customer, or went nowhere, so it can connect that outcome with the original ad click.</li>
</ul>



<p class="wp-block-paragraph">This is where offline conversions and enhanced conversions for leads come in:</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="2048" height="1242" src="https://searchengineland.com/wp-content/seloads/2026/08/Connect-your-CRM-back-to-Google-Ads.jpeg" alt="Connect your CRM back to Google Ads" class="wp-image-485455" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Connect-your-CRM-back-to-Google-Ads.jpeg 2048w, https://searchengineland.com/wp-content/seloads/2026/08/Connect-your-CRM-back-to-Google-Ads-768x466.jpeg 768w, https://searchengineland.com/wp-content/seloads/2026/08/Connect-your-CRM-back-to-Google-Ads-1536x932.jpeg 1536w" sizes="(max-width: 2048px) 100vw, 2048px" /></figure>
</div>


<p class="wp-block-paragraph">Google recommends uploading offline conversion data regularly, ideally daily.</p>



<p class="wp-block-paragraph">There are also time limits. GCLID-based offline conversions generally need to be uploaded within 90 days of the ad click, while enhanced conversions for leads using first-party data have a 63-day window.</p>



<p class="wp-block-paragraph">If your data doesn’t match correctly, check the basics first:</p>



<ul class="wp-block-list">
<li>Is the GCLID being stored?</li>



<li>Is the first-party data being captured correctly?</li>



<li>Are any parameters getting lost between the ad, form, and CRM?</li>
</ul>



<p class="wp-block-paragraph">Enhanced conversions for leads can also improve campaign outcomes. <a href="https://support.google.com/google-ads/answer/2998031?hl=en" target="_blank" rel="noopener">According to Google</a>, advertisers using it see a median 10% increase in conversions over those with standard offline conversion imports.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/how-to-reduce-low-quality-leads-from-performance-max-campaigns-468687">Google Ads launches built-in lead management dashboard</a></em></strong>



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<h3 id="h-2-define-what-a-qualified-lead-is" class="wp-block-heading">2. Define what a qualified lead is</h3>



<p class="wp-block-paragraph">Once your CRM and Google Ads are talking to each other, you need to decide what counts as a qualified lead. Before you can teach Google Ads what a good lead looks like, you need to define it yourself.</p>



<p class="wp-block-paragraph">Talk to the sales team about what makes a lead worth pursuing. For a real estate business, for example, you might look at:</p>



<ul class="wp-block-list">
<li><strong>Budget:</strong> Can they realistically afford the properties you&#8217;re selling?</li>



<li><strong>Location:</strong> Are they looking in an area where you have properties available?</li>



<li><strong>Timeline:</strong> Are they looking to buy soon or just exploring?</li>
</ul>



<p class="wp-block-paragraph">I would keep the scoring as simple as possible to start. You don&#8217;t necessarily need a complicated model. For example:</p>



<ul class="wp-block-list">
<li><strong>0 – Not qualified:</strong> Doesn&#8217;t meet the basic criteria.</li>



<li><strong>1 – Qualified lead:</strong> Meets your criteria and is worth pursuing.</li>



<li><strong>2 – Customer:</strong> The lead has turned into business.</li>
</ul>



<p class="wp-block-paragraph">Your criteria will look different depending on the type of business you’re representing.</p>



<p class="wp-block-paragraph">You can always make the scoring more sophisticated later. What matters is that marketing and sales agree on what each stage means and use the scoring consistently.</p>



<h3 id="h-3-optimize-google-ads-for-lead-value" class="wp-block-heading">3. Optimize Google Ads for lead value</h3>



<p class="wp-block-paragraph">Once Google Ads knows which leads are qualified, you can go one step further and tell the platform that not every conversion has the same value.</p>



<p class="wp-block-paragraph">In a real estate campaign, for example, a qualified lead could be assigned a value of $50. And a customer who buys a property could be assigned the value generated for the business.</p>



<p class="wp-block-paragraph">The numbers will be different for every business. The point is to give Google Ads another signal about which outcomes matter most.</p>



<p class="wp-block-paragraph">Once you’re consistently sending conversion values back to Google Ads, you can use value-based bidding, such as Maximize conversion value or Target return on ad spend (ROAS).</p>



<p class="wp-block-paragraph">But first, you need sufficient data.</p>



<p class="wp-block-paragraph">A customer is more valuable than a qualified lead. But if the business only closes a few sales each month, Google may not have enough sales data to optimize effectively. In that case, optimizing toward qualified leads may make more sense.</p>



<p class="wp-block-paragraph">The goal isn&#8217;t necessarily to optimize for the deepest possible conversion. It&#8217;s to find the most meaningful conversion that gives Google enough data to learn from.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/how-to-reduce-low-quality-leads-from-performance-max-campaigns-468687">How to reduce low-quality leads from Performance Max campaigns</a></em></strong>



<h2 id="h-from-measuring-leads-to-reporting-on-real-business-value" class="wp-block-heading">From measuring leads to reporting on real business value</h2>



<p class="wp-block-paragraph">With this system in place, you can provide more in-depth Google Ads reporting. Instead of reporting on leads, you can share the number of qualified leads and the value of the pipeline they generated.</p>



<p class="wp-block-paragraph">That gives you a much clearer picture of what your campaigns are doing for the business.</p>



<p class="wp-block-paragraph">It also gives you more confidence when making recommendations, asking for additional budget, or preparing your next proposal. And for a consultant or agency, demonstrating that value can make conversations around renewals, expanding campaigns, or even upselling additional services much more straightforward.</p>



<p class="wp-block-paragraph">Lead quality isn&#8217;t clear at the moment of the click. It&#8217;s determined by everything that happens afterward. And that&#8217;s exactly the information you should be feeding back into Google Ads.</p>

After years of auditing Google Ads accounts, one thing continues to surprise me. So many customer relationship management (CRM) tools still aren’t talking to Google Ads.
Somewhere between the form submission and the sales pipeline, lead quality data just disappears. Yet that data is one of the most valuable signals Google Ads could learn from.
But what happens to those leads once they reach the CRM is also, at least partly, our responsibility as Google Ads managers. In addition to generating leads, we need to measure lead quality and track whether they turn into business.
Why lead volume isn’t enough anymore
For years, getting more leads has been treated as a sign of good campaign performance. It’s an easy trap to fall into, especially when you start measuring your own performance by more conversions, graphs moving in the right direction, and even that reassuring Excellent ad strength rating from Google Ads.
But a lead isn’t a sale. And two leads can be worth wildly different amounts to a business.
This is why we should prioritize qualified leads. But how do we define that?
More budget? The right location? A specific service? Someone ready to buy now? It can mean completely different things from one business to another.
If you can’t define and measure what a qualified lead is, you can’t optimize for it. And if Google Ads only sees the form submission, it’ll optimize for more of the same.
Instead, Google Ads needs to know what happens afterward.
your competitors win.
      
Analyze your competitors
    
How to measure lead quality for Google Ads
In three steps, you can connect your data, define what a qualified lead means, and optimize Google Ads for lead value.
1. Connect your CRM back to Google Ads
The first step is connecting your CRM data to Google Ads. This tells Google which leads became qualified, which turned into customers, and which went nowhere.
Capture the lead: When someone submits a form, capture the information Google will need to identify that lead later, such as the GCLID, email, or phone number.
Track what happens next: Monitor how the lead moves through your CRM from new lead to qualified lead to customer.
Confirm the outcome: Tell Google Ads whether that lead became qualified, turned into a customer, or went nowhere, so it can connect that outcome with the original ad click.
This is where offline conversions and enhanced conversions for leads come in:




Google recommends uploading offline conversion data regularly, ideally daily.
There are also time limits. GCLID-based offline conversions generally need to be uploaded within 90 days of the ad click, while enhanced conversions for leads using first-party data have a 63-day window.
If your data doesn’t match correctly, check the basics first:
Is the GCLID being stored?
Is the first-party data being captured correctly?
Are any parameters getting lost between the ad, form, and CRM?
Enhanced conversions for leads can also improve campaign outcomes. According to Google, advertisers using it see a median 10% increase in conversions over those with standard offline conversion imports.
Dig deeper: Google Ads launches built-in lead management dashboard




	
	
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2. Define what a qualified lead is
Once your CRM and Google Ads are talking to each other, you need to decide what counts as a qualified lead. Before you can teach Google Ads what a good lead looks like, you need to define it yourself.
Talk to the sales team about what makes a lead worth pursuing. For a real estate business, for example, you might look at:
Budget: Can they realistically afford the properties you’re selling?
Location: Are they looking in an area where you have properties available?
Timeline: Are they looking to buy soon or just exploring?
I would keep the scoring as simple as possible to start. You don’t necessarily need a complicated model. For example:
0 – Not qualified: Doesn’t meet the basic criteria.
1 – Qualified lead: Meets your criteria and is worth pursuing.
2 – Customer: The lead has turned into business.
Your criteria will look different depending on the type of business you’re representing.
You can always make the scoring more sophisticated later. What matters is that marketing and sales agree on what each stage means and use the scoring consistently.
3. Optimize Google Ads for lead value
Once Google Ads knows which leads are qualified, you can go one step further and tell the platform that not every conversion has the same value.
In a real estate campaign, for example, a qualified lead could be assigned a value of $50. And a customer who buys a property could be assigned the value generated for the business.
The numbers will be different for every business. The point is to give Google Ads another signal about which outcomes matter most.
Once you’re consistently sending conversion values back to Google Ads, you can use value-based bidding, such as Maximize conversion value or Target return on ad spend (ROAS).
But first, you need sufficient data.
A customer is more valuable than a qualified lead. But if the business only closes a few sales each month, Google may not have enough sales data to optimize effectively. In that case, optimizing toward qualified leads may make more sense.
The goal isn’t necessarily to optimize for the deepest possible conversion. It’s to find the most meaningful conversion that gives Google enough data to learn from.
Dig deeper: How to reduce low-quality leads from Performance Max campaigns



From measuring leads to reporting on real business value
With this system in place, you can provide more in-depth Google Ads reporting. Instead of reporting on leads, you can share the number of qualified leads and the value of the pipeline they generated.
That gives you a much clearer picture of what your campaigns are doing for the business.
It also gives you more confidence when making recommendations, asking for additional budget, or preparing your next proposal. And for a consultant or agency, demonstrating that value can make conversations around renewals, expanding campaigns, or even upselling additional services much more straightforward.
Lead quality isn’t clear at the moment of the click. It’s determined by everything that happens afterward. And that’s exactly the information you should be feeding back into Google Ads.

Connect your CRM to Google Ads, define qualified leads, and optimize campaigns around the leads that actually drive business value.

How to improve Google Ads lead quality with CRM data

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations.png" class="attachment-large size-large wp-post-image" alt="3 phases to build authority and earn AI citations" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI visibility compounds when technical accessibility, useful content, and third-party authority work together.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations.png" class="attachment-large size-large wp-post-image" alt="3 phases to build authority and earn AI citations" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/3-phases-to-build-authority-and-earn-AI-citations-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">There’s plenty of noise in the search industry about what does and doesn’t move the needle for AI visibility. Questions about FAQ schema, content volume, and llms.txt are important foundational considerations. </p>



<p class="wp-block-paragraph">That said, the real goal is to drive actionable next steps from consumers — something that’s harder when AI increasingly acts as a billboard rather than a traditional conversion driver.</p>



<p class="wp-block-paragraph">Brands need to understand what gets them mentioned in AI responses and, more importantly, what gets them cited — with a link back to the source, ideally an owned property. <a href="https://www.airops.com/blog/page-elements-increase-likelihood-llm-recognition" target="_blank" rel="noopener">Up to 85%</a> of top-of-funnel B2B brand mentions in AI search come from third-party content, AirOps research found.</p>



<p class="wp-block-paragraph">To be found in AI, your products and messaging need to be understood by both potential customers and LLMs. To be chosen, you need to build trust and authority.</p>



<p class="wp-block-paragraph">Here’s a three-phase, compounding process we use at my agency that combines AEO and SEO across owned and earned media to build trust and authority.</p>



<h2 id="h-phase-1-make-your-pages-easily-accessible-to-llms" class="wp-block-heading">Phase 1: Make your pages easily accessible to LLMs</h2>



<p class="wp-block-paragraph">This is where much of conventional SEO comes into play, along with classic UX. </p>



<p class="wp-block-paragraph">Proper, logical navigation, machine-readable page structure, SEO and accessibility-focused tagging, updates to existing website content — including product detail pages (PDPs), blog and editorial content, and company profiles — and your social content can all improve initial accessibility and understanding.</p>



<p class="wp-block-paragraph">This is when initial page structure optimizations should begin. Experiment with adding key takeaways to popular editorial pieces. Make sure all PDPs follow a logical path (product-focused H1s and H2s, segmented feature bullets, descriptions, comparisons, and &#8220;Complete the look&#8221; for apparel brands) — all this feeds into retail results in AI.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/technical-seo-geo-460898">A technical SEO blueprint for GEO: Optimize for AI-powered search</a></em></strong>


<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">
  <div>
    
    <div>
      
      <div id="semrush-one-headline" class="headline-responsive">
        Be the brand <span>AI recommends</span>.
      </div>
      <p id="semrush-one-subhead">
        See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
      </p>
    </div>
    <div>
      <span id="semrush-one-cta">See your AI visibility</span>
    </div>
    </div>
    </a>




<h2 id="h-phase-2-create-fresh-content-new-and-repurposed" class="wp-block-heading">Phase 2: Create fresh content — new and repurposed</h2>



<p class="wp-block-paragraph">Google Search loves <a href="https://searchengineland.com/content-fresh-ai-470005">fresh content</a>. LLMs love fresh takes. Brands will always say positive things about the products or services provided — that’s a given. </p>



<p class="wp-block-paragraph">Both humans and LLMs know this. You need owned content to contain brand-informed messaging. It’s where the source of truth sits and allows LLMs to understand your brand.</p>



<p class="wp-block-paragraph">Your website and owned social profiles must be optimized from a technical perspective and to control baseline messaging around who you are and what you offer. This will help with consistency when communicating value propositions to AI, along with Trustpilot, Reddit, TikTok, and so on.</p>



<p class="wp-block-paragraph">It’s not always easy to scale this, especially outside a website update or blog post, let alone video creation. Luckily, this phase can be broken down into two parts: fresh and refreshed.</p>



<p class="wp-block-paragraph">For fresh content, it’s important to target your gaps. I recently worked with an insurance provider to guide a 12-month organic content roadmap, based on 3+ years of keyword research, SEO insights from QBRs, and an analysis of assets that were being cited by AI.&nbsp;</p>



<p class="wp-block-paragraph">Along with that roadmap came a list of seasonal editorial pieces for both on-site use and newsletter distribution, complete with first-party, proprietary, data-backed studies.</p>



<p class="wp-block-paragraph">Next, the approach I use to supplement fresh content (the refresh) is simple repurposing. Have a successful informational blog post (or at least one that was successful before AI search)? Build that out as an infographic.</p>



<p class="wp-block-paragraph">Is there a topic you’ve written about on-site but need to share on socials? What about those newsletter topics I mentioned earlier? Create a hub-and-spoke approach with granular breakdowns of that topic for organic social and post on Instagram or TikTok in a short-form video.</p>



<p class="wp-block-paragraph">This is where growth continues to compound. Now you have an owned asset plan, a slew of topics, and identified subject matter experts that will serve you in the next step.</p>



<p class="wp-block-paragraph">This will help you become one of the brands or products mentioned — called out — in AI responses. It may not help you get cited — linked back to your brand as a reference that builds up your authority.&nbsp;</p>



<p class="wp-block-paragraph">Just because an AI understands what you offer doesn’t mean it will decide to cite you in its results. That’s where external users, partnerships, and third-party sources come in.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/revise-old-content-ai-search-optimization-470434">How to revise your old content for AI search optimization</a></em></strong>



<div class="nl-inline-form border py-2 px-1 my-2">
	
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			<p class="inline-form-text text-center mb-0">Get the newsletter search marketers rely on.</p>
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			<p class="text-center mb-0"><a class="nl-terms" href="https://searchengineland.com/termsofuse" target="_blank" aria-label="opens in a new tab">See terms.</a>
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</div>




<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-phase-3-dig-into-outreach-and-digital-pr" class="wp-block-heading">Phase 3: Dig into outreach and digital PR</h2>



<p class="wp-block-paragraph">Organic strategy is incredibly important in the AI space, especially as major LLMs still grapple with how they interpret paid media. With that, SEO is having the time of its life — because you need those classic technical and backend optimizations to build a solid foundation for your content.</p>



<p class="wp-block-paragraph">Finally, the real teamwork comes into play. Keyword research is still vital, but that must be combined with understanding the types of prompts users are asking. From there, you can build a query fan-out list to really dive into the topics and solutions your potential customers are trying to achieve.</p>



<p class="wp-block-paragraph">With that list of prompts, the keywords you seeded it with, and the understanding gained from analyzing gaps in both traditional and AI results, you can see who is cited and what is shown in AI results.&nbsp;</p>



<p class="wp-block-paragraph">The who and what are where digital PR comes into play. Connecting with authoritative third-party sources, including publications, podcasts, and Substacks, drives valuable trust from sources not directly invested in a brand, making citations from them as valuable as a Google or Yelp review.</p>



<p class="wp-block-paragraph">“OK, Eric, I get what you’re saying, but I’m just a small brand with a strong, friendly customer base — how can I get third-party placement or work with influencers?”</p>



<p class="wp-block-paragraph">Not everyone needs constant Tier 1 placements to win the AI results race. Targeting highly authoritative, niche blogs and editorial sites can have a lasting impact on AI citations because industry experts in your brand’s field are going to be the main storytellers for LLMs.</p>



<p class="wp-block-paragraph">Most organizations already have internal members on hand who would be more than happy to produce shareable, citable insights for journalists to use when writing about your industry. These are <strong>your</strong> subject matter experts.</p>



<p class="wp-block-paragraph">There are additional, specific strategies for microinfluencer outreach that mimic this approach, too. Again, working with industry-specific influencers makes more sense to human users, so it will also make sense to LLMs.</p>



<p class="wp-block-paragraph">In addition, reach out to fans who have a strong, established following. Brands can also work with an agency to identify highly specific microinfluencers.</p>



<p class="wp-block-paragraph">Consistency is key when gaining that trust. This means making sure brand messaging remains consistent across owned and earned media, while sticking with publications or influencers that represent what a brand stands for.&nbsp;</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/7-digital-pr-secrets-behind-strong-seo-performance-468159">7 digital PR secrets behind strong SEO performance</a></em></strong>


<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">
  <div>
    
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      <div id="semrush-one-headline" class="headline-responsive">
        If AI can’t find you, <span>customers won’t either</span>.
      </div>
      <p id="semrush-one-subhead">
       Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.
      </p>
    </div>
    <div>
      <span id="semrush-one-cta">See your AI visibility</span>
    </div>
    </div>
    </a>




<h2 id="h-the-compounding-effect" class="wp-block-heading">The compounding effect</h2>



<p class="wp-block-paragraph">These three phases don’t work in isolation. They’re a sequence, with each one strengthening the next. Technical accessibility gets you found. Fresh, brand-informed content gets you understood. Earned coverage and digital PR get you chosen because that’s the trust no brand can manufacture about itself.</p>



<p class="wp-block-paragraph">Skip any one phase, and the other two lose their leverage — a well-optimized site with no fresh content has nothing to cite, while great content with no third-party validation gets understood but may never be trusted enough to get chosen.</p>



<p class="wp-block-paragraph">Run all three together, and the effect compounds. Each citation reinforces the last. Every piece of earned coverage makes your owned content more credible. Authority in AI results is built the same way it always has been in marketing: with consistency across every channel.</p>



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



<ul class="wp-block-list">
<li>Combining owned and earned media strategies helps drive improved mentions and citations in AI responses.</li>



<li>It’s important for messaging to remain consistent across first- and third-party platforms, so LLMs can find, understand, and connect your brand proposition across owned and earned assets.</li>



<li>Outlining a combined organic content marketing plan, with optimizations to owned properties and guidance for earned partners, can improve sentiment in LLM responses, increasing citation rates.</li>
</ul>



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

There’s plenty of noise in the search industry about what does and doesn’t move the needle for AI visibility. Questions about FAQ schema, content volume, and llms.txt are important foundational considerations. 
That said, the real goal is to drive actionable next steps from consumers — something that’s harder when AI increasingly acts as a billboard rather than a traditional conversion driver.
Brands need to understand what gets them mentioned in AI responses and, more importantly, what gets them cited — with a link back to the source, ideally an owned property. Up to 85% of top-of-funnel B2B brand mentions in AI search come from third-party content, AirOps research found.
To be found in AI, your products and messaging need to be understood by both potential customers and LLMs. To be chosen, you need to build trust and authority.
Here’s a three-phase, compounding process we use at my agency that combines AEO and SEO across owned and earned media to build trust and authority.
Phase 1: Make your pages easily accessible to LLMs
This is where much of conventional SEO comes into play, along with classic UX. 
Proper, logical navigation, machine-readable page structure, SEO and accessibility-focused tagging, updates to existing website content — including product detail pages (PDPs), blog and editorial content, and company profiles — and your social content can all improve initial accessibility and understanding.
This is when initial page structure optimizations should begin. Experiment with adding key takeaways to popular editorial pieces. Make sure all PDPs follow a logical path (product-focused H1s and H2s, segmented feature bullets, descriptions, comparisons, and “Complete the look” for apparel brands) — all this feeds into retail results in AI.
Dig deeper: A technical SEO blueprint for GEO: Optimize for AI-powered search



  
AI recommends.
      
See your AI visibility
    
Phase 2: Create fresh content — new and repurposed
Google Search loves fresh content. LLMs love fresh takes. Brands will always say positive things about the products or services provided — that’s a given. 
Both humans and LLMs know this. You need owned content to contain brand-informed messaging. It’s where the source of truth sits and allows LLMs to understand your brand.
Your website and owned social profiles must be optimized from a technical perspective and to control baseline messaging around who you are and what you offer. This will help with consistency when communicating value propositions to AI, along with Trustpilot, Reddit, TikTok, and so on.
It’s not always easy to scale this, especially outside a website update or blog post, let alone video creation. Luckily, this phase can be broken down into two parts: fresh and refreshed.
For fresh content, it’s important to target your gaps. I recently worked with an insurance provider to guide a 12-month organic content roadmap, based on 3+ years of keyword research, SEO insights from QBRs, and an analysis of assets that were being cited by AI. 
Along with that roadmap came a list of seasonal editorial pieces for both on-site use and newsletter distribution, complete with first-party, proprietary, data-backed studies.
Next, the approach I use to supplement fresh content (the refresh) is simple repurposing. Have a successful informational blog post (or at least one that was successful before AI search)? Build that out as an infographic.
Is there a topic you’ve written about on-site but need to share on socials? What about those newsletter topics I mentioned earlier? Create a hub-and-spoke approach with granular breakdowns of that topic for organic social and post on Instagram or TikTok in a short-form video.
This is where growth continues to compound. Now you have an owned asset plan, a slew of topics, and identified subject matter experts that will serve you in the next step.
This will help you become one of the brands or products mentioned — called out — in AI responses. It may not help you get cited — linked back to your brand as a reference that builds up your authority. 
Just because an AI understands what you offer doesn’t mean it will decide to cite you in its results. That’s where external users, partnerships, and third-party sources come in.
Dig deeper: How to revise your old content for AI search optimization




	
	
Get the newsletter search marketers rely on.
 
				
				
			
See terms.
		
Phase 3: Dig into outreach and digital PR
Organic strategy is incredibly important in the AI space, especially as major LLMs still grapple with how they interpret paid media. With that, SEO is having the time of its life — because you need those classic technical and backend optimizations to build a solid foundation for your content.
Finally, the real teamwork comes into play. Keyword research is still vital, but that must be combined with understanding the types of prompts users are asking. From there, you can build a query fan-out list to really dive into the topics and solutions your potential customers are trying to achieve.
With that list of prompts, the keywords you seeded it with, and the understanding gained from analyzing gaps in both traditional and AI results, you can see who is cited and what is shown in AI results. 
The who and what are where digital PR comes into play. Connecting with authoritative third-party sources, including publications, podcasts, and Substacks, drives valuable trust from sources not directly invested in a brand, making citations from them as valuable as a Google or Yelp review.
“OK, Eric, I get what you’re saying, but I’m just a small brand with a strong, friendly customer base — how can I get third-party placement or work with influencers?”
Not everyone needs constant Tier 1 placements to win the AI results race. Targeting highly authoritative, niche blogs and editorial sites can have a lasting impact on AI citations because industry experts in your brand’s field are going to be the main storytellers for LLMs.
Most organizations already have internal members on hand who would be more than happy to produce shareable, citable insights for journalists to use when writing about your industry. These are your subject matter experts.
There are additional, specific strategies for microinfluencer outreach that mimic this approach, too. Again, working with industry-specific influencers makes more sense to human users, so it will also make sense to LLMs.
In addition, reach out to fans who have a strong, established following. Brands can also work with an agency to identify highly specific microinfluencers.
Consistency is key when gaining that trust. This means making sure brand messaging remains consistent across owned and earned media, while sticking with publications or influencers that represent what a brand stands for. 
Dig deeper: 7 digital PR secrets behind strong SEO performance



  
customers won’t either.
      
See your AI visibility
    
The compounding effect
These three phases don’t work in isolation. They’re a sequence, with each one strengthening the next. Technical accessibility gets you found. Fresh, brand-informed content gets you understood. Earned coverage and digital PR get you chosen because that’s the trust no brand can manufacture about itself.
Skip any one phase, and the other two lose their leverage — a well-optimized site with no fresh content has nothing to cite, while great content with no third-party validation gets understood but may never be trusted enough to get chosen.
Run all three together, and the effect compounds. Each citation reinforces the last. Every piece of earned coverage makes your owned content more credible. Authority in AI results is built the same way it always has been in marketing: with consistency across every channel.
Key takeaways:




Combining owned and earned media strategies helps drive improved mentions and citations in AI responses.
It’s important for messaging to remain consistent across first- and third-party platforms, so LLMs can find, understand, and connect your brand proposition across owned and earned assets.
Outlining a combined organic content marketing plan, with optimizations to owned properties and guidance for earned partners, can improve sentiment in LLM responses, increasing citation rates.

AI visibility compounds when technical accessibility, useful content, and third-party authority work together.

3 phases to build authority and earn AI citations

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Google is expanding AI Max with new experiments and planning tools to help advertisers test budgets, ROI targets and controls.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-AI-Max-experiments-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Google is expanding AI Max for Search campaigns with new testing and planning capabilities designed to help advertisers understand the impact of changing budgets, ROI targets and campaign settings before committing to them.</p>



<p class="wp-block-paragraph">The updates include multi-campaign A/B testing, experiments that support brand and location controls, and new Performance Planner capabilities.</p>



<p class="wp-block-paragraph"><strong>What’s new.</strong> Starting in September, advertisers will be able to test different budgets and ROI targets across multiple Search campaigns in a single A/B test.</p>



<p class="wp-block-paragraph">The feature builds on <a href="https://searchengineland.com/ai-max-experiments-arrive-in-google-ads-heres-how-they-work-459935">Google&#8217;s existing one-click AI Max experiments</a> and is intended to give advertisers a clearer view of what happens to overall business performance when they scale campaigns.</p>



<p class="wp-block-paragraph"><strong>Testing gets more flexible.</strong> Google is also removing a potential obstacle for advertisers that depend on tighter campaign controls.</p>



<p class="wp-block-paragraph">AI Max experiments will support tests with brand and location controls enabled, allowing advertisers to measure AI Max&#8217;s impact without having to remove those guardrails for the experiment.</p>



<p class="wp-block-paragraph">That could make AI Max testing more practical for businesses with strict requirements around which brands or geographic areas their campaigns can target.</p>



<p class="wp-block-paragraph"><strong>Performance Planner expands.</strong> Google is also adding more functionality to Performance Planner, allowing advertisers to forecast how changes such as bidding or budget targets could affect existing campaign performance.</p>



<p class="wp-block-paragraph">Advertisers can then apply Google&#8217;s suggested changes directly to their campaigns with one click, shortening the path between forecasting a change and implementing it.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> Multi-campaign experiments could be particularly useful for understanding the incremental impact of increasing budgets or changing ROI targets at a broader account level. Support for brand and location controls also means more advertisers can test AI Max while maintaining some of the restrictions their businesses require.</p>



<p class="wp-block-paragraph"><strong>Bottom line.</strong> As Google pushes AI Max further into Search campaign management, it&#8217;s also building out the <a href="https://blog.google/products/ads-commerce/ai-max-testing-planning-tools">experimentation and forecasting tools</a> advertisers need to evaluate its impact before making larger changes.</p>


<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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Google is expanding AI Max for Search campaigns with new testing and planning capabilities designed to help advertisers understand the impact of changing budgets, ROI targets and campaign settings before committing to them.
The updates include multi-campaign A/B testing, experiments that support brand and location controls, and new Performance Planner capabilities.
What’s new. Starting in September, advertisers will be able to test different budgets and ROI targets across multiple Search campaigns in a single A/B test.
The feature builds on Google’s existing one-click AI Max experiments and is intended to give advertisers a clearer view of what happens to overall business performance when they scale campaigns.
Testing gets more flexible. Google is also removing a potential obstacle for advertisers that depend on tighter campaign controls.
AI Max experiments will support tests with brand and location controls enabled, allowing advertisers to measure AI Max’s impact without having to remove those guardrails for the experiment.
That could make AI Max testing more practical for businesses with strict requirements around which brands or geographic areas their campaigns can target.
Performance Planner expands. Google is also adding more functionality to Performance Planner, allowing advertisers to forecast how changes such as bidding or budget targets could affect existing campaign performance.
Advertisers can then apply Google’s suggested changes directly to their campaigns with one click, shortening the path between forecasting a change and implementing it.
Why we care. Multi-campaign experiments could be particularly useful for understanding the incremental impact of increasing budgets or changing ROI targets at a broader account level. Support for brand and location controls also means more advertisers can test AI Max while maintaining some of the restrictions their businesses require.
Bottom line. As Google pushes AI Max further into Search campaign management, it’s also building out the experimentation and forecasting tools advertisers need to evaluate its impact before making larger changes.
your competitors win.
      
Analyze your competitors

Google is expanding AI Max with new experiments and planning tools to help advertisers test budgets, ROI targets and controls.

Google adds new AI Max testing and planning tools

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/SEO-priorities-for-2027-Your-guide-to-search-success.png" class="attachment-large size-large wp-post-image" alt="SEO priorities for 2027- Your guide to search success" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/SEO-priorities-for-2027-Your-guide-to-search-success.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/SEO-priorities-for-2027-Your-guide-to-search-success-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/SEO-priorities-for-2027-Your-guide-to-search-success-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/SEO-priorities-for-2027-Your-guide-to-search-success-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Being found is only part of the challenge. See what it takes to make your brand understood, trusted, and cited across search in 2027.

Being found is only part of the challenge. See what it takes to make your brand understood, trusted, and cited across search in 2027.

SEO priorities for 2027: Your guide to search success

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Publishers already monetized links, placements, and removals. Correcting the information shaping AI answers could be their next money grab.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/The-next-AI-money-grab-Charging-for-editorial-corrections-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">A company contacts a publisher to correct an outdated author byline, job title, company description, or slogan.</p>



<p class="wp-block-paragraph">The publisher agrees. Kind of.</p>



<p class="wp-block-paragraph">They’re happy to make the change. But only after the company pays an “editorial processing fee.”</p>



<p class="wp-block-paragraph">That <strong>should</strong> be a red flag for all of us. Unfortunately, I can see a not-so-distant future in which “edits for AI” becomes the next publisher money grab.</p>



<p class="wp-block-paragraph">And we’ve seen this before.</p>



<p class="wp-block-paragraph">After Google began cracking down on manipulative links, penalized websites were expected to show they had made a “good faith effort” to remove them before submitting a disavow file. Publishers quickly realized they had leverage.</p>



<p class="wp-block-paragraph">“Want us to remove the garbage link we <s>charged you for</s> published? That’ll be $100!”</p>



<p class="wp-block-paragraph">This time, companies won’t be paying publishers to remove links. They’ll be paying them to correct the information influencing how AI describes people, products, and businesses.</p>



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



<h2 id="h-ai-builds-its-answer-from-everyone-else" class="wp-block-heading">AI builds its answer from everyone else</h2>



<p class="wp-block-paragraph">I have little doubt this will eventually happen if publishers aren’t already doing it. But to understand the “why,” you first have to understand why companies would care enough to hand over their credit card.</p>



<p class="wp-block-paragraph">Businesses can update their websites, schema, LinkedIn profiles, and other community properties they control. What they can’t directly update are the years of articles, interviews, directories, author bios, and company profiles.</p>



<p class="wp-block-paragraph">AI systems don’t simply accept a company’s preferred version of itself. They consume all the information they can find, retrieve, and somewhat verify.</p>



<p class="wp-block-paragraph">When the same description appears repeatedly across the web, even outdated information can begin to look current or authoritative (the verification process).</p>



<p class="wp-block-paragraph">A company may have repositioned its services three years ago, but if dozens of third-party websites continue using its old description, AI systems may keep repeating it. (Fun fact: many AI results still refer to this newsletter as a weekly snapshot of search updates because that’s what it <strong>was</strong> for 6-7 years before shifting to what we see today.)</p>



<p class="wp-block-paragraph">Your website tells AI what you want to be known for. The rest of the web tells AI whether it should believe you.</p>



<h2 id="h-the-next-shakedown-pay-to-update" class="wp-block-heading">The next shakedown: Pay to update</h2>



<p class="wp-block-paragraph">As companies invest more and more to be visible in AI search engines, they’ll start auditing the third-party sources that shape how they’re represented online and, by extension, in AI answers.</p>



<p class="wp-block-paragraph"><strong>That will uncover all kinds of outdated information:</strong>



<ul class="wp-block-list">
<li>Executive and author bios.</li>



<li>Former job titles.</li>



<li>Company categories and descriptions.</li>



<li>Old slogans and positioning.</li>



<li>Products and capabilities.</li>



<li>Acquisitions, VC funding, ownership, and partnership details.</li>



<li>Statistics, quotes, links, and citations.</li>
</ul>



<p class="wp-block-paragraph">Not all companies will necessarily be attempting to manipulate AI answers. It may simply want an author bio or company profile presented as current, rather than describing a business that no longer exists in that form.</p>



<p class="wp-block-paragraph">Let’s be real, though: Without the AI benefit, 99% of leadership wouldn’t give a sh*t about outdated information buried somewhere online.</p>



<p class="wp-block-paragraph">But once publishers realize these seemingly minor corrections can influence visibility (and potentially revenue) some will monetize the leverage they hold.</p>



<ul class="wp-block-list">
<li>A $100 author-bio update.</li>



<li>A $250 company-description correction.</li>



<li>A $500 description tweak with a conveniently inserted link.</li>
</ul>



<p class="wp-block-paragraph">Maybe they’ll even offer an annual “profile maintenance” package to keep every reference current. (If that didn’t send a shiver down your spine, you may have just discovered your next revenue stream.)</p>



<p class="wp-block-paragraph">I’m not suggesting every publisher will do this. But I expect these “free” updates will happen about as frequently as publishers add links to the existing brand mentions you email them about today.</p>



<p class="wp-block-paragraph"><strong>Hint:</strong> <a href="https://www.seoforlunch.com/p/hypocrisy" target="_blank" rel="noopener">They don’t</a>. Apparently, linking to the source they already referenced is “against editorial policy.”</p>



<p class="wp-block-paragraph">The publisher already controls the source. AI visibility simply gives that control new financial value.</p>



<h2 id="h-correction-or-reputation-laundering" class="wp-block-heading">Correction or reputation laundering?</h2>



<p class="wp-block-paragraph">There’s an important distinction between correcting inaccurate information and rewriting inconvenient history.</p>



<p class="wp-block-paragraph">An outdated job title, incorrect author bio, or evergreen company description presented as current should be updated. Publishers have an editorial responsibility to maintain accurate information.</p>



<p class="wp-block-paragraph">But outdated information isn’t automatically inaccurate.</p>



<p class="wp-block-paragraph">If a 2018 article accurately described what a company did in 2018, the publisher shouldn’t rewrite it simply because the business has since repositioned itself. The same applies to an embarrassing quote, failed product launch, critical review, or inconvenient piece of company history.</p>



<p class="wp-block-paragraph">Those things shouldn’t disappear simply because someone is willing to pay.</p>



<p class="wp-block-paragraph">That isn’t a correction. It’s reputation laundering — and companies already pay <strong>big</strong> money for it.</p>



<p class="wp-block-paragraph">Legitimate reputation management can help a company correct misinformation or rebuild trust. It shouldn’t buy the company a cleaner version of history.</p>



<p class="wp-block-paragraph">As I’ve written before, ethics have to play some role in SEO and AI. The standard should be factual accuracy, not whether the subject has enough money to influence the historical record.</p>



<p class="wp-block-paragraph">Publishers can charge for advertising, sponsored content, and other commercial opportunities. But charging someone to correct objectively false information crosses a line.</p>



<p class="wp-block-paragraph"><strong>Accuracy shouldn’t be an upsell.</strong>



<h2 id="h-when-accuracy-becomes-a-revenue-opportunity" class="wp-block-heading">When accuracy becomes a revenue opportunity</h2>



<p class="wp-block-paragraph">Shocker: People are greedy and mostly willing to do anything for a dollar.</p>



<p class="wp-block-paragraph">The web has monetized access, placement, links, reviews, removals, and reputation. <strong>Updates are next.</strong>



<p class="wp-block-paragraph">AI companies will undoubtedly get better at recognizing conflicting information and prioritizing authoritative sources. But publishers will still control much of the information shaping those answers. (You see where this is going…)</p>



<p class="wp-block-paragraph">Once enough businesses connect third-party sources to AI visibility — and AI visibility to revenue — publishers will recognize the money-grab opportunity.</p>



<p class="wp-block-paragraph">By the time companies realize they need the web corrected, someone will already have built a rate card for it.</p>



<p class="wp-block-paragraph">When correcting the web starts influencing revenue, correcting the web will stop being free.</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>

A company contacts a publisher to correct an outdated author byline, job title, company description, or slogan.
The publisher agrees. Kind of.
They’re happy to make the change. But only after the company pays an “editorial processing fee.”
That should be a red flag for all of us. Unfortunately, I can see a not-so-distant future in which “edits for AI” becomes the next publisher money grab.
And we’ve seen this before.
After Google began cracking down on manipulative links, penalized websites were expected to show they had made a “good faith effort” to remove them before submitting a disavow file. Publishers quickly realized they had leverage.
“Want us to remove the garbage link we charged you for published? That’ll be $100!”
This time, companies won’t be paying publishers to remove links. They’ll be paying them to correct the information influencing how AI describes people, products, and businesses.
View embedded content



AI builds its answer from everyone else
I have little doubt this will eventually happen if publishers aren’t already doing it. But to understand the “why,” you first have to understand why companies would care enough to hand over their credit card.
Businesses can update their websites, schema, LinkedIn profiles, and other community properties they control. What they can’t directly update are the years of articles, interviews, directories, author bios, and company profiles.
AI systems don’t simply accept a company’s preferred version of itself. They consume all the information they can find, retrieve, and somewhat verify.
When the same description appears repeatedly across the web, even outdated information can begin to look current or authoritative (the verification process).
A company may have repositioned its services three years ago, but if dozens of third-party websites continue using its old description, AI systems may keep repeating it. (Fun fact: many AI results still refer to this newsletter as a weekly snapshot of search updates because that’s what it was for 6-7 years before shifting to what we see today.)
Your website tells AI what you want to be known for. The rest of the web tells AI whether it should believe you.
The next shakedown: Pay to update
As companies invest more and more to be visible in AI search engines, they’ll start auditing the third-party sources that shape how they’re represented online and, by extension, in AI answers.
That will uncover all kinds of outdated information:




Executive and author bios.
Former job titles.
Company categories and descriptions.
Old slogans and positioning.
Products and capabilities.
Acquisitions, VC funding, ownership, and partnership details.
Statistics, quotes, links, and citations.
Not all companies will necessarily be attempting to manipulate AI answers. It may simply want an author bio or company profile presented as current, rather than describing a business that no longer exists in that form.
Let’s be real, though: Without the AI benefit, 99% of leadership wouldn’t give a sh*t about outdated information buried somewhere online.
But once publishers realize these seemingly minor corrections can influence visibility (and potentially revenue) some will monetize the leverage they hold.
A $100 author-bio update.
A $250 company-description correction.
A $500 description tweak with a conveniently inserted link.
Maybe they’ll even offer an annual “profile maintenance” package to keep every reference current. (If that didn’t send a shiver down your spine, you may have just discovered your next revenue stream.)
I’m not suggesting every publisher will do this. But I expect these “free” updates will happen about as frequently as publishers add links to the existing brand mentions you email them about today.
Hint: They don’t. Apparently, linking to the source they already referenced is “against editorial policy.”
The publisher already controls the source. AI visibility simply gives that control new financial value.
Correction or reputation laundering?
There’s an important distinction between correcting inaccurate information and rewriting inconvenient history.
An outdated job title, incorrect author bio, or evergreen company description presented as current should be updated. Publishers have an editorial responsibility to maintain accurate information.
But outdated information isn’t automatically inaccurate.
If a 2018 article accurately described what a company did in 2018, the publisher shouldn’t rewrite it simply because the business has since repositioned itself. The same applies to an embarrassing quote, failed product launch, critical review, or inconvenient piece of company history.
Those things shouldn’t disappear simply because someone is willing to pay.
That isn’t a correction. It’s reputation laundering — and companies already pay big money for it.
Legitimate reputation management can help a company correct misinformation or rebuild trust. It shouldn’t buy the company a cleaner version of history.
As I’ve written before, ethics have to play some role in SEO and AI. The standard should be factual accuracy, not whether the subject has enough money to influence the historical record.
Publishers can charge for advertising, sponsored content, and other commercial opportunities. But charging someone to correct objectively false information crosses a line.
Accuracy shouldn’t be an upsell.



When accuracy becomes a revenue opportunity
Shocker: People are greedy and mostly willing to do anything for a dollar.
The web has monetized access, placement, links, reviews, removals, and reputation. Updates are next.



AI companies will undoubtedly get better at recognizing conflicting information and prioritizing authoritative sources. But publishers will still control much of the information shaping those answers. (You see where this is going…)
Once enough businesses connect third-party sources to AI visibility — and AI visibility to revenue — publishers will recognize the money-grab opportunity.
By the time companies realize they need the web corrected, someone will already have built a rate card for it.
When correcting the web starts influencing revenue, correcting the web will stop being free.
This post first appeared on the author’s website and is republished here with permission.

Publishers already monetized links, placements, and removals. Correcting the information shaping AI answers could be their next money grab.

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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.

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