<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Google will upgrade eligible Search campaigns to AI Max from Sept. 1, enabling search term matching and text customization.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-to-auto-upgrade-some-Search-campaigns-to-AI-Max-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Google is automatically migrating eligible Search campaigns to AI Max, expanding adoption of its AI-powered campaign features without requiring advertisers to opt in manually.</p>



<p class="wp-block-paragraph"><strong>What&#8217;s happening</strong>. Advertisers are receiving emails notifying them that, beginning Sept. 1st, Search campaigns using Automatically Created Assets (ACA) and/or the campaign-level broad match setting will be automatically upgraded to AI Max for Search campaigns.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1700" height="1808" src="https://searchengineland.com/wp-content/seloads/2026/08/Automatically-created-Assets-AI-Max.jpeg" alt="" class="wp-image-484429" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Automatically-created-Assets-AI-Max.jpeg 1700w, https://searchengineland.com/wp-content/seloads/2026/08/Automatically-created-Assets-AI-Max-768x817.jpeg 768w, https://searchengineland.com/wp-content/seloads/2026/08/Automatically-created-Assets-AI-Max-1444x1536.jpeg 1444w" sizes="(max-width: 1700px) 100vw, 1700px" /></figure>



<p class="wp-block-paragraph">The rollout will preserve existing campaign behavior as closely as possible by applying AI Max settings that mirror advertisers&#8217; current configurations.</p>



<p class="wp-block-paragraph"><strong>Auto upgrade</strong>. Campaigns using Automatically Created Assets will be upgraded with search term matching and text customization enabled by default. Campaigns using the campaign-level broad match setting will receive AI Max with search term matching enabled.</p>



<p class="wp-block-paragraph">Google says the goal is to make the transition seamless by carrying forward the functionality advertisers already rely on, while moving campaigns onto its newer AI-powered framework.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> Advertisers currently using Automatically Created Assets or campaign-level broad match won&#8217;t need to manually migrate to AI Max. However, they should review campaign settings after the upgrade to understand which AI features have been enabled and how they could affect query matching, ad creative and overall campaign performance.</p>



<p class="wp-block-paragraph"><strong>The bottom line</strong>. Google is making AI Max the default experience for more Search campaigns, signaling its continued shift away from legacy campaign controls and toward AI-driven automation.</p>



<p class="wp-block-paragraph"><strong>First spotted. </strong>This update was shared on <a href="https://x.com/MenachemAni/status/2085125059237097819/photo/1">X</a> by Menachem Ani, Founder of JXT Group. </p>


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Google is automatically migrating eligible Search campaigns to AI Max, expanding adoption of its AI-powered campaign features without requiring advertisers to opt in manually.
What’s happening. Advertisers are receiving emails notifying them that, beginning Sept. 1st, Search campaigns using Automatically Created Assets (ACA) and/or the campaign-level broad match setting will be automatically upgraded to AI Max for Search campaigns.




The rollout will preserve existing campaign behavior as closely as possible by applying AI Max settings that mirror advertisers’ current configurations.
Auto upgrade. Campaigns using Automatically Created Assets will be upgraded with search term matching and text customization enabled by default. Campaigns using the campaign-level broad match setting will receive AI Max with search term matching enabled.
Google says the goal is to make the transition seamless by carrying forward the functionality advertisers already rely on, while moving campaigns onto its newer AI-powered framework.
Why we care. Advertisers currently using Automatically Created Assets or campaign-level broad match won’t need to manually migrate to AI Max. However, they should review campaign settings after the upgrade to understand which AI features have been enabled and how they could affect query matching, ad creative and overall campaign performance.
The bottom line. Google is making AI Max the default experience for more Search campaigns, signaling its continued shift away from legacy campaign controls and toward AI-driven automation.
First spotted. This update was shared on X by Menachem Ani, Founder of JXT Group. 
AI recommends.
      
See your AI visibility

Google will upgrade eligible Search campaigns to AI Max from Sept. 1, enabling search term matching and text customization.

Google to auto-upgrade automatically created assets to AI Max

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>A new Google help document explains how experimental Deal Ends annotations highlight eligible Shopping ads with urgency badges.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Deal-Ends-annotations-for-Shopping-ads-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Google has published a new help document explaining how its experimental Deal Ends annotation works, giving retailers new insight into how limited-time sale badges can appear on Product Listing Ads and what it takes to qualify.</p>



<p class="wp-block-paragraph"><strong>What&#8217;s happening</strong>. The new documentation outlines an experimental Shopping feature that automatically displays urgency labels such as &#8220;3 days left&#8221; or &#8220;5 hours left&#8221; beneath eligible product prices.</p>



<p class="wp-block-paragraph">The annotations are generated from existing promotions and sale price information submitted through Merchant Center, meaning merchants don&#8217;t need to implement new technical integrations. Google uses sale expiration dates to determine when to display the badges.</p>



<p class="wp-block-paragraph"><strong>Improve click through rate</strong>. The feature is designed to increase urgency around time-sensitive offers, with Google saying the annotations can help improve click-through rates and conversions by making expiring deals more prominent in Shopping ads.</p>



<p class="wp-block-paragraph"><strong>To qualify,</strong> offers must meet a series of criteria based on the time of year. During the holiday shopping season, products generally need a steeper discount and must represent the lowest price in the previous 60 days. Outside the holidays, the discount threshold is lower and pricing history is evaluated over a shorter period.</p>



<p class="wp-block-paragraph">In both cases, deals must expire within seven days, and Google requires a minimum interval between Deal Ends annotations for the same product.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> While advertisers can&#8217;t opt into or out of the feature, the new help document clarifies how Google determines eligibility. Retailers that already use promotions and sale prices can improve their chances of earning the annotation by ensuring pricing data is accurate and sale expiration dates are properly configured.</p>



<p class="wp-block-paragraph"><strong>The bottom line.</strong> Google&#8217;s new documentation sheds light on an experimental Shopping ads feature that rewards genuine, time-sensitive discounts with added visibility—potentially helping retailers drive more clicks during promotional periods.</p>



<p class="wp-block-paragraph"><strong>Dig deeper.</strong> <a href="https://support.google.com/merchants/answer/17371375?hl=en#zippy=%2Chow-many-products-can-qualify-for-the-deal-ends%2Chow-does-google-determine-which-product-to-feature%2Cim-already-using-the-promotion-effective-date-parameter-do-i-need-to-add-the-sale-price-effect-date-parameter-to-qualify%2Cwhat-reporting-will-be-available-can-i-find-this-in-my-google-ads-or-merchant-center-account%2Ccan-i-opt-out-of-this-treatment">About Deal Ends experimental annotation</a>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0101ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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Google has published a new help document explaining how its experimental Deal Ends annotation works, giving retailers new insight into how limited-time sale badges can appear on Product Listing Ads and what it takes to qualify.
What’s happening. The new documentation outlines an experimental Shopping feature that automatically displays urgency labels such as “3 days left” or “5 hours left” beneath eligible product prices.
The annotations are generated from existing promotions and sale price information submitted through Merchant Center, meaning merchants don’t need to implement new technical integrations. Google uses sale expiration dates to determine when to display the badges.
Improve click through rate. The feature is designed to increase urgency around time-sensitive offers, with Google saying the annotations can help improve click-through rates and conversions by making expiring deals more prominent in Shopping ads.
To qualify, offers must meet a series of criteria based on the time of year. During the holiday shopping season, products generally need a steeper discount and must represent the lowest price in the previous 60 days. Outside the holidays, the discount threshold is lower and pricing history is evaluated over a shorter period.
In both cases, deals must expire within seven days, and Google requires a minimum interval between Deal Ends annotations for the same product.
Why we care. While advertisers can’t opt into or out of the feature, the new help document clarifies how Google determines eligibility. Retailers that already use promotions and sale prices can improve their chances of earning the annotation by ensuring pricing data is accurate and sale expiration dates are properly configured.
The bottom line. Google’s new documentation sheds light on an experimental Shopping ads feature that rewards genuine, time-sensitive discounts with added visibility—potentially helping retailers drive more clicks during promotional periods.
Dig deeper. About Deal Ends experimental annotation



  
your competitors win.
      
Analyze your competitors

A new Google help document explains how experimental Deal Ends annotations highlight eligible Shopping ads with urgency badges.

New Google help doc details Deal Ends annotations for Shopping ads

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>A new Google Ads help document explains how corporate email requirements will affect sensitive account actions during the pilot.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-corporate-email-rules-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Google has published a new help document detailing stricter email domain requirements for sensitive actions in Google Ads, giving advertisers clearer guidance on how the security change will work.</p>



<p class="wp-block-paragraph"><strong>What’s happening</strong>. The document says Google is piloting a requirement that blocks users signed in with free email domains, such as Gmail or Yahoo, from completing sensitive actions.</p>



<p class="wp-block-paragraph">Those users will still be able to view reports and make routine campaign edits, depending on their permissions, but actions such as changing user access or updating account links will require a corporate email address tied to a private business domain.</p>



<p class="wp-block-paragraph"><strong>What advertisers need to do</strong>. Any user who needs to perform sensitive actions should create or use a Google Account linked to a corporate email address and ask an account administrator to grant the appropriate access level.</p>



<p class="wp-block-paragraph">For accounts with three or more active administrators, adding a new corporate user or changing admin privileges may trigger Multi-Party Approval, requiring another administrator to approve the request. Users switching to a new corporate login will also need to create a new passkey because passkeys are tied to individual Google Accounts.</p>



<p class="wp-block-paragraph"><strong>Why we care.</strong> Agencies, freelancers and small businesses that rely on personal Gmail accounts could lose the ability to make critical account changes if their accounts are included in the pilot. Moving key users to corporate email addresses now could prevent access disruptions and approval delays later.</p>



<p class="wp-block-paragraph"><strong>The bottom line</strong>. Google is formalizing a stricter divide between routine campaign management and sensitive account administration, with corporate email domains becoming the new gatekeeper for high-risk actions.</p>



<p class="wp-block-paragraph"><strong>Dig deeper.</strong> <a href="https://support.google.com/google-ads/answer/17423445?hl=en">About email domain requirements for performing sensitive actions in Google Ads</a>


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Google has published a new help document detailing stricter email domain requirements for sensitive actions in Google Ads, giving advertisers clearer guidance on how the security change will work.
What’s happening. The document says Google is piloting a requirement that blocks users signed in with free email domains, such as Gmail or Yahoo, from completing sensitive actions.
Those users will still be able to view reports and make routine campaign edits, depending on their permissions, but actions such as changing user access or updating account links will require a corporate email address tied to a private business domain.
What advertisers need to do. Any user who needs to perform sensitive actions should create or use a Google Account linked to a corporate email address and ask an account administrator to grant the appropriate access level.
For accounts with three or more active administrators, adding a new corporate user or changing admin privileges may trigger Multi-Party Approval, requiring another administrator to approve the request. Users switching to a new corporate login will also need to create a new passkey because passkeys are tied to individual Google Accounts.
Why we care. Agencies, freelancers and small businesses that rely on personal Gmail accounts could lose the ability to make critical account changes if their accounts are included in the pilot. Moving key users to corporate email addresses now could prevent access disruptions and approval delays later.
The bottom line. Google is formalizing a stricter divide between routine campaign management and sensitive account administration, with corporate email domains becoming the new gatekeeper for high-risk actions.
Dig deeper. About email domain requirements for performing sensitive actions in Google Ads



  
a customer you lose.
      
See who’s stealing your traffic

A new Google Ads help document explains how corporate email requirements will affect sensitive account actions during the pilot.

New Google Ads help doc outlines corporate email rules

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Google says its Aug. 17 Smart Bidding update will make budget-limited campaigns more predictable.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Google-Ads-Smart-Bidding-changes-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Google&#8217;s upcoming <a href="https://searchengineland.com/google-expands-smart-bidding-exploration-adds-promotion-mode-480165">Smart Bidding update</a> aims to make campaign performance more predictable by ensuring Target CPA and Target ROAS are respected regardless of budget constraints, a shift that could change how advertisers manage budget-limited campaigns.</p>



<p class="wp-block-paragraph"><strong>What&#8217;s happening</strong>. Ahead of the Aug. 17 rollout, Google Ads Liaison Ginny Marvin addressed advertisers&#8217; biggest questions about the update, emphasizing that bid targets will become the primary lever for controlling efficiency, even when campaigns are limited by budget.</p>



<p class="wp-block-paragraph">Under the new behavior, campaigns that have been consistently outperforming their Target CPA or Target ROAS will begin optimizing toward the actual target set in the campaign, rather than exceeding it because additional budget isn&#8217;t available.</p>



<p class="wp-block-paragraph"><strong>Performance swings</strong>. Google says the change is designed to reduce the performance swings advertisers often experience after increasing or decreasing campaign budgets.</p>



<p class="wp-block-paragraph">Previously, budget changes could force Smart Bidding to readjust from the efficiency it had been achieving back toward the campaign&#8217;s stated target, creating temporary volatility. Google says the new system should make those transitions more stable because the bidding target remains consistent regardless of budget.</p>



<p class="wp-block-paragraph"><strong>What won&#8217;t change.</strong> The company also noted that campaigns without budget constraints will not be affected, as Target CPA and Target ROAS already determine spending and efficiency in those scenarios.</p>



<p class="wp-block-paragraph"><strong>Why we care</strong>. Budget-limited campaigns may behave differently after Aug. 17, particularly if their actual CPA or ROAS has consistently outperformed the target set in the campaign. Advertisers should review campaigns where there&#8217;s a significant gap between target and actual performance and decide whether bid targets still reflect current business goals.</p>



<p class="wp-block-paragraph">Google has also introduced in-account notifications and a review tool to help advertisers identify campaigns that may need target adjustments before or after the rollout.</p>



<p class="wp-block-paragraph"><strong>The bottom line</strong>. After Aug. 17, Smart Bidding targets, not budget constraints, will play a larger role in determining campaign efficiency. Advertisers who rely on Target CPA or Target ROAS should audit their settings now to avoid unexpected performance shifts.</p>



<p class="wp-block-paragraph"><strong>Dig deeper.</strong> <a href="https://www.youtube.com/watch?v=tqp-pQkKLT4">Community Q&amp;A: August 17 bidding update</a>


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        Uncover the keywords, ads, landing pages, and strategies driving your competitors&#8217; paid search success—and find your next opportunity to outperform them.
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Google’s upcoming Smart Bidding update aims to make campaign performance more predictable by ensuring Target CPA and Target ROAS are respected regardless of budget constraints, a shift that could change how advertisers manage budget-limited campaigns.
What’s happening. Ahead of the Aug. 17 rollout, Google Ads Liaison Ginny Marvin addressed advertisers’ biggest questions about the update, emphasizing that bid targets will become the primary lever for controlling efficiency, even when campaigns are limited by budget.
Under the new behavior, campaigns that have been consistently outperforming their Target CPA or Target ROAS will begin optimizing toward the actual target set in the campaign, rather than exceeding it because additional budget isn’t available.
Performance swings. Google says the change is designed to reduce the performance swings advertisers often experience after increasing or decreasing campaign budgets.
Previously, budget changes could force Smart Bidding to readjust from the efficiency it had been achieving back toward the campaign’s stated target, creating temporary volatility. Google says the new system should make those transitions more stable because the bidding target remains consistent regardless of budget.
What won’t change. The company also noted that campaigns without budget constraints will not be affected, as Target CPA and Target ROAS already determine spending and efficiency in those scenarios.
Why we care. Budget-limited campaigns may behave differently after Aug. 17, particularly if their actual CPA or ROAS has consistently outperformed the target set in the campaign. Advertisers should review campaigns where there’s a significant gap between target and actual performance and decide whether bid targets still reflect current business goals.
Google has also introduced in-account notifications and a review tool to help advertisers identify campaigns that may need target adjustments before or after the rollout.
The bottom line. After Aug. 17, Smart Bidding targets, not budget constraints, will play a larger role in determining campaign efficiency. Advertisers who rely on Target CPA or Target ROAS should audit their settings now to avoid unexpected performance shifts.
Dig deeper. Community Q&A: August 17 bidding update



  
your competitors win.
      
Analyze your competitors

Google says its Aug. 17 Smart Bidding update will make budget-limited campaigns more predictable.

Google explains what advertisers should expect from Smart Bidding changes

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive.png" class="attachment-large size-large wp-post-image" alt="The demand capture trap that&#039;s making search more expensive" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Search can only capture existing demand. Learn why YouTube helps create future buyers, making search campaigns more efficient over time.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive.png" class="attachment-large size-large wp-post-image" alt="The demand capture trap that&#039;s making search more expensive" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/The-demand-capture-trap-thats-making-search-more-expensive-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Every performance marketer faces the same challenge — capturing consumer attention is becoming increasingly expensive.</p>



<p class="wp-block-paragraph">When acquisition costs rise, the instinct is often to push more budget toward the channels closest to conversion. Marketers increase search investment, tighten bidding strategies, and focus reporting on campaigns that produce clear, immediate returns.</p>



<p class="wp-block-paragraph">But demand capture can only convert existing interest. If brands continually invest in capturing demand without first creating more of it, they eventually end up competing for the same limited pool of buyers at an increasingly higher cost.</p>



<p class="wp-block-paragraph">This isn&#8217;t an argument for shifting budget away from search. It&#8217;s an argument for investing in channels that generate more demand for search to capture.</p>



<h2 id="h-escaping-the-demand-capture-trap" class="wp-block-heading">Escaping the demand capture trap</h2>



<p class="wp-block-paragraph">It&#8217;s easy to get trapped at the end of the acquisition funnel. That&#8217;s where the results are clearest, strategies are proven, and budget decisions are made. But focusing only on dashboard-worthy numbers creates long-term problems.</p>



<p class="wp-block-paragraph">The path from discovery to purchase isn&#8217;t a straight line anymore. The average customer journey is noisier and more competitive, with buyers interacting with multiple channels before making a purchase. Building a brand in this environment requires storytelling that connects with modern consumers across many touchpoints.</p>



<p class="wp-block-paragraph">Justifying this type of investment is difficult. Top-of-funnel marketing requires more work, takes longer to pay off, and is much harder to tie to bottom-line results. As a result, marketers stay focused on conversions.</p>



<p class="wp-block-paragraph">But this approach can only go so far. When marketers neglect demand creation, they place increasing pressure on bottom-of-funnel channels to produce growth from a limited pool of existing buyers.</p>



<p class="wp-block-paragraph">While demand generation can happen in many places, one channel is affected more than any other by this bias toward conversion: <a href="https://searchengineland.com/youtube-advertising-the-ultimate-guide-436845">YouTube</a>. </p>



<p class="wp-block-paragraph">On a dashboard, the world&#8217;s largest video platform can look like a bottomless pit for ad spend. Plenty of brands experiment with the channel only to abandon it when they don&#8217;t see an immediate payoff. But that overlooks the opportunities it offers.</p>



<p class="wp-block-paragraph">YouTube is a critical platform for reaching highly engaged, prequalified audiences. However, the important role it plays in demand generation is underappreciated by nearly everyone, including Google itself. </p>



<p class="wp-block-paragraph">In one study, the incrementality platform Haus found that Google&#8217;s own reporting tools underestimated YouTube&#8217;s true value by <a href="https://www.haus.io/blog/do-youtube-ads-perform-lessons-from-190-incrementality-tests" target="_blank" rel="noopener">70% or more</a>.</p>



<p class="wp-block-paragraph">Understanding what YouTube actually does for a brand — rather than what a dashboard says it does — is how marketers escape the demand capture trap.</p>


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<h2 id="h-youtube-creates-future-pipeline" class="wp-block-heading">YouTube creates future pipeline</h2>



<p class="wp-block-paragraph">Every conversion begins with a customer discovering a brand for the first time. Performance marketers often turn to search advertising to fill the tops of their funnels. </p>



<p class="wp-block-paragraph">The limiting factor for this approach is that search advertising only reaches people actively looking for a product or service. It does little to introduce a brand to new buyers.</p>



<p class="wp-block-paragraph">YouTube is different. It has a massive base of more than <a href="https://backlinko.com/youtube-users" target="_blank" rel="noopener">2.5 billion users</a>. It’s the <a href="https://www.insideradio.com/free/nielsen-youtube-captures-12-5-of-tv-viewing-as-podcasts-gain-momentum/article_1e73a67e-6888-4367-b531-6674e3e1f09c.html" target="_blank" rel="noopener">number one source for streaming content</a>, according to Nielsen, and <a href="https://www.edisonresearch.com/youtube-is-the-preferred-podcast-listening-service/" target="_blank" rel="noopener">the top podcast platform</a>. Content on YouTube is also <a href="https://www.thinkwithgoogle.com/next/v2/article/search-and-video/video-influence-on-consumer-purchase-decision-process/" target="_blank" rel="noopener">highly trusted compared to other social media channels</a>. YouTube users frequently seek out and curate content they’re already interested in. </p>



<p class="wp-block-paragraph">This high-trust, high-engagement mixture is the perfect environment for learning about new products. According to Google’s own data, YouTube is <a href="https://www.thinkwithgoogle.com/next/v2/article/search-and-video/youtube-video-shopping-journey/" target="_blank" rel="noopener">the leading platform for product discovery and reviews</a> for all consumers. </p>



<p class="wp-block-paragraph">Advertising in this unique ecosystem shortens the path to purchase by nearly half. Data Google shared with advertisers shows that YouTube reduces the average number of touchpoints between discovery and purchase from 8.1 to 4.3.</p>



<p class="wp-block-paragraph">Adding YouTube to a brand&#8217;s advertising mix fills a sales funnel with a steady stream of engaged, interested prospects.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/youtube-seo-ai-overviews-467253">YouTube is no longer optional for SEO in the age of AI Overviews</a></em></strong>



<h2 id="h-youtube-addresses-rising-cpas-in-search" class="wp-block-heading">YouTube addresses rising CPAs in search</h2>



<p class="wp-block-paragraph">Someone entering your funnel doesn&#8217;t mean you&#8217;ve automatically won them over. You&#8217;re still competing against a slew of other advertisers contributing to cost-per-click inflation in search. </p>



<p class="wp-block-paragraph">As more advertisers spend more dollars to reach potential customers in more places, the cost per acquisition (CPA) of each new customer also rises. This is where YouTube helps brands stand out.</p>



<p class="wp-block-paragraph">Telling stories through video helps brands build connections with potential consumers seeking more specific answers to their questions. Unlike <a href="https://searchengineland.com/how-to-read-meta-ads-metrics-like-a-system-not-a-scoreboard-470061">Meta</a> and <a href="https://searchengineland.com/tiktok-advertising-450817">TikTok</a>, where advertisers compete fiercely for viewers scrolling rather than researching, YouTube remains far less saturated and more cost-effective.</p>



<p class="wp-block-paragraph">Brands that successfully differentiate themselves in the crowded search marketplace with relevant YouTube content build customer affinity that pays off throughout the sales funnel.</p>



<h2 id="h-youtube-reduces-long-term-acquisition-costs" class="wp-block-heading">YouTube reduces long-term acquisition costs</h2>



<p class="wp-block-paragraph">Priming your audience with YouTube content before they encounter other advertising reduces costs associated with downstream channels. </p>



<p class="wp-block-paragraph">Additional Google research shared with advertisers found that brands running YouTube ads alongside search see, on average, an 8% increase in conversion volume, a 3% increase in conversion rate, and a 4% decrease in cost per acquisition.</p>



<p class="wp-block-paragraph">Marketers can verify this in their own accounts. Adding your YouTube prospecting audience as an observation audience in search reveals exactly how that group&#8217;s search and conversion volume grows once video enters the mix.</p>



<p class="wp-block-paragraph">That&#8217;s not to say YouTube can&#8217;t drive its own return on ad spend (ROAS). I have a client currently earning a 4x ROAS on the platform selling a low-cost, low-barrier-to-entry product. Big-ticket purchases people deliberate over take longer to pay off, but YouTube can drive direct sales when the product fit is right.</p>



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<h2 id="h-youtube-answers-ai-driven-serp-changes" class="wp-block-heading">YouTube answers AI-driven SERP changes</h2>



<p class="wp-block-paragraph">Widespread adoption of AI search over the last few years has only exacerbated the fierce competition to attract new customers. </p>



<p class="wp-block-paragraph">A growing share of search engine results pages now lead with AI summaries, which capture a significant share of clicks that previously went to websites. Search behavior is also evolving as conversational, question-style searches <a href="https://blog.google/products-and-platforms/products/search/year-in-search-2025/">grow quickly</a> year over year.  </p>



<p class="wp-block-paragraph">People are increasingly searching for more specific information online. It&#8217;s crucial for brands to create stories that directly reach these people, bypassing the limitations of AI search. </p>



<p class="wp-block-paragraph">YouTube is uniquely suited to reach a highly engaged audience that self-curates the content it consumes. Done right, video content can tell specific, human stories a keyword could never hope to capture.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/youtube-ads-drive-b2b-conversions-463567">How to use YouTube Ads to drive B2B conversions</a></em></strong>



<h2 id="h-getting-started-on-youtube-build-a-creative-funnel-first" class="wp-block-heading">Getting started on YouTube: Build a creative funnel first</h2>



<p class="wp-block-paragraph">Brands are often hesitant to get started on YouTube because of the perceived cost of producing suitable video content. As technology has evolved and customer expectations have changed, however, these concerns are now outdated.</p>



<p class="wp-block-paragraph">Brands no longer need professionally produced content to succeed on the platform. YouTube viewers reward authenticity over polish, so content shot with a cellphone can be just as effective as a glossy commercial featuring professional actors.</p>



<p class="wp-block-paragraph">Brands wanting to get started on YouTube should focus on building a creative funnel that generates different types of content — anything from office or warehouse shots to customer reviews. </p>



<p class="wp-block-paragraph">From there, learn who your audience is and what types of content generate responses. Google&#8217;s AI tools can be very helpful by making it easy to create content variations for testing.</p>



<p class="wp-block-paragraph">Success on YouTube no longer requires hiring an expensive creative agency or spending significant sums on advertising. Start small by building your creative funnel. Test different iterations using Google&#8217;s AI tools. Learn what resonates with your audience, then scale what works.&nbsp;</p>


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<h2 id="h-youtube-as-a-marketing-destination" class="wp-block-heading">YouTube as a marketing destination</h2>



<p class="wp-block-paragraph">For years, marketers have treated YouTube as an afterthought, with search winning out in both results and advertising budget allocation. But that tide is turning, and Google is leading the way. At this past May&#8217;s Brandcast event, Google positioned YouTube as a creator platform, hinting at what it will prioritize and reward in the future.</p>



<p class="wp-block-paragraph">Brands that start building on YouTube while their competitors remain focused on last-click dashboards will win out in the long run. Filling your funnel with engaged, qualified potential customers creates demand you can continue capturing well into the future.</p>

Every performance marketer faces the same challenge — capturing consumer attention is becoming increasingly expensive.
When acquisition costs rise, the instinct is often to push more budget toward the channels closest to conversion. Marketers increase search investment, tighten bidding strategies, and focus reporting on campaigns that produce clear, immediate returns.
But demand capture can only convert existing interest. If brands continually invest in capturing demand without first creating more of it, they eventually end up competing for the same limited pool of buyers at an increasingly higher cost.
This isn’t an argument for shifting budget away from search. It’s an argument for investing in channels that generate more demand for search to capture.
Escaping the demand capture trap
It’s easy to get trapped at the end of the acquisition funnel. That’s where the results are clearest, strategies are proven, and budget decisions are made. But focusing only on dashboard-worthy numbers creates long-term problems.
The path from discovery to purchase isn’t a straight line anymore. The average customer journey is noisier and more competitive, with buyers interacting with multiple channels before making a purchase. Building a brand in this environment requires storytelling that connects with modern consumers across many touchpoints.
Justifying this type of investment is difficult. Top-of-funnel marketing requires more work, takes longer to pay off, and is much harder to tie to bottom-line results. As a result, marketers stay focused on conversions.
But this approach can only go so far. When marketers neglect demand creation, they place increasing pressure on bottom-of-funnel channels to produce growth from a limited pool of existing buyers.
While demand generation can happen in many places, one channel is affected more than any other by this bias toward conversion: YouTube. 
On a dashboard, the world’s largest video platform can look like a bottomless pit for ad spend. Plenty of brands experiment with the channel only to abandon it when they don’t see an immediate payoff. But that overlooks the opportunities it offers.
YouTube is a critical platform for reaching highly engaged, prequalified audiences. However, the important role it plays in demand generation is underappreciated by nearly everyone, including Google itself. 
In one study, the incrementality platform Haus found that Google’s own reporting tools underestimated YouTube’s true value by 70% or more.
Understanding what YouTube actually does for a brand — rather than what a dashboard says it does — is how marketers escape the demand capture trap.
your competitors win.
      
Analyze your competitors
    
YouTube creates future pipeline
Every conversion begins with a customer discovering a brand for the first time. Performance marketers often turn to search advertising to fill the tops of their funnels. 
The limiting factor for this approach is that search advertising only reaches people actively looking for a product or service. It does little to introduce a brand to new buyers.
YouTube is different. It has a massive base of more than 2.5 billion users. It’s the number one source for streaming content, according to Nielsen, and the top podcast platform. Content on YouTube is also highly trusted compared to other social media channels. YouTube users frequently seek out and curate content they’re already interested in. 
This high-trust, high-engagement mixture is the perfect environment for learning about new products. According to Google’s own data, YouTube is the leading platform for product discovery and reviews for all consumers. 
Advertising in this unique ecosystem shortens the path to purchase by nearly half. Data Google shared with advertisers shows that YouTube reduces the average number of touchpoints between discovery and purchase from 8.1 to 4.3.
Adding YouTube to a brand’s advertising mix fills a sales funnel with a steady stream of engaged, interested prospects.
Dig deeper: YouTube is no longer optional for SEO in the age of AI Overviews



YouTube addresses rising CPAs in search
Someone entering your funnel doesn’t mean you’ve automatically won them over. You’re still competing against a slew of other advertisers contributing to cost-per-click inflation in search. 
As more advertisers spend more dollars to reach potential customers in more places, the cost per acquisition (CPA) of each new customer also rises. This is where YouTube helps brands stand out.
Telling stories through video helps brands build connections with potential consumers seeking more specific answers to their questions. Unlike Meta and TikTok, where advertisers compete fiercely for viewers scrolling rather than researching, YouTube remains far less saturated and more cost-effective.
Brands that successfully differentiate themselves in the crowded search marketplace with relevant YouTube content build customer affinity that pays off throughout the sales funnel.
YouTube reduces long-term acquisition costs
Priming your audience with YouTube content before they encounter other advertising reduces costs associated with downstream channels. 
Additional Google research shared with advertisers found that brands running YouTube ads alongside search see, on average, an 8% increase in conversion volume, a 3% increase in conversion rate, and a 4% decrease in cost per acquisition.
Marketers can verify this in their own accounts. Adding your YouTube prospecting audience as an observation audience in search reveals exactly how that group’s search and conversion volume grows once video enters the mix.
That’s not to say YouTube can’t drive its own return on ad spend (ROAS). I have a client currently earning a 4x ROAS on the platform selling a low-cost, low-barrier-to-entry product. Big-ticket purchases people deliberate over take longer to pay off, but YouTube can drive direct sales when the product fit is right.
Get the newsletter search marketers rely on.
 
				
				
			
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YouTube answers AI-driven SERP changes
Widespread adoption of AI search over the last few years has only exacerbated the fierce competition to attract new customers. 
A growing share of search engine results pages now lead with AI summaries, which capture a significant share of clicks that previously went to websites. Search behavior is also evolving as conversational, question-style searches grow quickly year over year.  
People are increasingly searching for more specific information online. It’s crucial for brands to create stories that directly reach these people, bypassing the limitations of AI search. 
YouTube is uniquely suited to reach a highly engaged audience that self-curates the content it consumes. Done right, video content can tell specific, human stories a keyword could never hope to capture.
Dig deeper: How to use YouTube Ads to drive B2B conversions



Getting started on YouTube: Build a creative funnel first
Brands are often hesitant to get started on YouTube because of the perceived cost of producing suitable video content. As technology has evolved and customer expectations have changed, however, these concerns are now outdated.
Brands no longer need professionally produced content to succeed on the platform. YouTube viewers reward authenticity over polish, so content shot with a cellphone can be just as effective as a glossy commercial featuring professional actors.
Brands wanting to get started on YouTube should focus on building a creative funnel that generates different types of content — anything from office or warehouse shots to customer reviews. 
From there, learn who your audience is and what types of content generate responses. Google’s AI tools can be very helpful by making it easy to create content variations for testing.
Success on YouTube no longer requires hiring an expensive creative agency or spending significant sums on advertising. Start small by building your creative funnel. Test different iterations using Google’s AI tools. Learn what resonates with your audience, then scale what works. 
a customer you lose.
      
See who’s stealing your traffic
    
YouTube as a marketing destination
For years, marketers have treated YouTube as an afterthought, with search winning out in both results and advertising budget allocation. But that tide is turning, and Google is leading the way. At this past May’s Brandcast event, Google positioned YouTube as a creator platform, hinting at what it will prioritize and reward in the future.
Brands that start building on YouTube while their competitors remain focused on last-click dashboards will win out in the long run. Filling your funnel with engaged, qualified potential customers creates demand you can continue capturing well into the future.

Search can only capture existing demand. Learn why YouTube helps create future buyers, making search campaigns more efficient over time.

The demand capture trap that’s making search more expensive

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/How-to-spot-an-emerging-category-in-search-data.png" class="attachment-large size-large wp-post-image" alt="How to spot an emerging category in search data" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/How-to-spot-an-emerging-category-in-search-data.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-spot-an-emerging-category-in-search-data-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-spot-an-emerging-category-in-search-data-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/How-to-spot-an-emerging-category-in-search-data-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Most trends fade. Some become entirely new markets. The difference is visible in search data if you know where to look.


SEO rarely gives you a chance to get somewhere first. Emerging categories are one of the exceptions.
Before a market matures, search demand, keyword difficulty, and SERPs follow recognizable patterns. Identifying those signals early can help you build authority before competition catches up.
The key is knowing the difference between an emerging category and a short-lived trend.
The research project that exposed the pattern
Earlier this year, I did some market research for a prospective client, a small consultancy that helps business leaders with AI governance and privacy. Nothing unusual about the job. Pull the keyword data, size the demand, check the competition, and work out whether search is worth the investment.
What came back wasn’t a market. It was a market taking shape. The data had a distinct pattern, one I hadn’t seen so clearly since the early days of cloud computing. 
Once you know the pattern, you can spot it anywhere. The original research covered the U.K., so I later ran the same keyword cluster through the U.S. database. The pattern was identical. In most cases, the U.S. numbers were larger and growing faster.
That matters because getting into a category early is one of the few genuinely unfair advantages left in SEO. Keyword difficulty is low, the SERPs are unsettled, the language is still up for grabs, and the eventual winners haven’t been decided. Twelve months later, none of that is true. The AI governance example illustrates the signals that separate an emerging category from a passing trend.
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The questions people ask don’t exist yet
The consultancy came to me with a list of questions its clients actually ask. Things like “Is it safe to use ChatGPT?” “Is AI using my data to train?” and “Can AI read my company data?” Real questions from real buyers, word for word.
Almost none returned measurable search volume in either the U.K. or U.S. databases. Not low volume. No volume data at all.
My first instinct was that the tools were wrong. They weren’t. When a category is this new, people with the problem don’t yet know what the problem is called, so they can’t search for it consistently. 
The questions get asked out loud, in meetings, and increasingly inside AI chat tools rather than in a search box. The phrasing varies so much that no single query accumulates enough volume to register. Search demand has been drifting beyond countable keywords for a while now, and emerging categories are where that drift is most obvious.
This is the first signal, and it’s deeply counterintuitive: In an emerging category, the most authentic buyer language is invisible in keyword tools. 
If you size the market based on the questions your client hears every day, you’ll conclude there is no market. There is. It just hasn’t settled on the language yet. That’s also why zero- and low-volume keywords are worth taking seriously rather than filtering them out by habit.
Instead, demand appears one level of abstraction higher, in the names of regulations, standards, and job titles. Which brings me to the second signal.
Regulations, standards, and job titles get named first
While the natural-language questions returned nothing, the formal vocabulary was growing at a rate you rarely see in keyword data.
In the U.S. database, searches for “AI governance framework” grew from around 40 a month last August to 3,600 by July. “AI regulation” went from 120 to 3,600 over the same 12 months. The ISO standard for AI management systems, ISO 42001, grew from 610 to 3,600 in the U.S. and from 180 to 1,900 in the U.K. 
The EU AI Act now generates 6,600 monthly searches in the U.S., comfortably ahead of its 5,400 in the U.K., despite being European legislation. Add the surrounding terms, and the core cluster exceeds 25,000 monthly searches in the U.S. and roughly 12,000 to 13,000 in the U.K. for a category that barely existed two years ago.
Twelve-month U.S. search volume growth for anchor terms (July 2026 snapshot)





KeywordU.S. volume, August 2025U.S. volume, July 2026Growth
ai governance framework403,60090x
ai regulation1203,60030x
ai audit1109108x
ai compliance1007207x
iso 420016103,6006x
ai governance6603,2005x






My favorite example is the most local one. “Colorado AI Act” only started registering search volume in January and has already doubled to 760 monthly U.S. searches, with a keyword difficulty score of 19. 
A state legislature names a law, and a search market appears within months. That’s how categories emerge in search data. Not through buyer questions, but through proper nouns. 
A regulation gets passed, a standard gets published, a job title starts appearing on LinkedIn, and suddenly everyone with the problem converges on the same phrase. The regulation names the category before the market does.
If you want an early warning system for emerging categories in your industry, watch the formal vocabulary: new legislation, new standards, new certifications, and new job titles. They’re the first things with stable names, so they’re the first to accumulate search volume.
The language is still unstable
The third signal is messiness. In both databases, the same intent appeared under multiple phrasings with no clear winner. 
Governance, compliance, audit, and risk all describe overlapping concepts. Nobody, including the people selling these services, had settled on a name for the category.
In a mature market, you get one dominant head term and a neat pyramid of variations underneath it. In an emerging market, you get five competing labels with similar search volume and different difficulty scores. That fragmentation is annoying for reporting and valuable for strategy because it means the category’s vocabulary is still up for grabs. 
Brands that pick a label and use it consistently are often the ones whose language the market eventually adopts. It’s also a useful reminder that search volume alone is a poor basis for keyword decisions at best, and almost useless at the frontier.
Difficulty lags demand
Here’s the signal that makes all of this commercially interesting, not just intellectually interesting.
Difficulty scores are backward-looking. They measure the strength of the pages currently ranking, and in an emerging category, nobody with strong authority has bothered to rank yet. Demand has arrived before competition. 
In the U.S. data, “data privacy consultant” gets 260 monthly searches with a keyword difficulty score of 7. “AI policy template” gets 320 searches with a difficulty score of 21. “AI governance consultant,” the most exact-fit buyer term in the cluster, gets 170 monthly searches with a difficulty score of 22. 
And the Colorado AI Act term I mentioned earlier gets 760 monthly searches with a difficulty score of 19. These terms have real, growing search volume and clear buyer intent, with difficulty scores you normally only see for keywords nobody wants.
The category cluster: U.S. vs. U.K. (monthly search volume and keyword difficulty, July 2026)





KeywordU.S. volumeU.S. difficultyU.K. volumeU.K. difficulty
eu ai act6,600725,40074
iso 420013,600721,90069
ai governance framework3,6006426032
ai governance3,2006876025
ai consultant1,900691,10062
ai audit9105048057
ai compliance7204932051
ai policy template3202114024
data privacy consultant26071106
ai governance consultant170224015






The side-by-side comparison also shows the window closing in real time. “AI governance” has a keyword difficulty score of 25 in the U.K. and 68 in the U.S. Same term, same month. 
The U.S. market spotted the category first, and the head terms there are already well defended, while the buyer-intent long tail is still lightly contested. in both countries. 
That gap between volume growth and keyword difficulty is the clearest quantitative signature of an emerging category, and it doesn’t stay open. Twelve months of growth like this is enough to bring every content team into the category.
The SERPs are contested by mismatched players
The qualitative version of the same signal appears in the search results themselves. When I checked the top 10 results for the main consultant-intent terms, the mix was unusual. 
IBM, Accenture, and two of the Big Four were there, all targeting enterprise budgets. Yet the top positions were mostly held by boutiques, including a two-person consultancy outranking IBM for a major category term.
That doesn’t happen in a mature market. Authority has consolidated, the big players have built out their content, and the SERP has a stable pecking order. 
When billion-dollar brands and tiny specialists share the first page, with the specialists on top, you’re looking at a category where relevance still beats authority. That’s the moment a small, focused player can win, and it’s exactly the argument I took back to the client.
One more thing stood out: Every SERP I checked included an AI Overview. Given what AI Overviews are doing to click-through rates, that would normally be bad news. In an emerging category, it works the other way. 
The category is being defined within AI answers at the same time it’s being defined in organic results, which means early movers aren’t just winning rankings. They’re becoming the sources AI systems cite. That compounds quickly.
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The category is usually visible somewhere else first
Everything so far has focused on reading the signals in keyword data. The uncomfortable truth is that keyword tools are lagging indicators. 
By the time a phrase registers in search volume, the language has already formed elsewhere: on social platforms, in video, in communities, and increasingly in AI chats. If you only watch keyword tools, you’re reading yesterday’s news slightly early.
The best-known example is a consumer one. Rise at Seven’s trend tracking identified “airport outfits” as an emerging search behavior, driven by TikTok, even as keyword tools showed very little demand. Instead of searching for joggers and hoodies, people were searching for the occasion. 
They built a dedicated airport outfits category for PrettyLittleThing and supported it with digital PR and links. The page reached the top position in both the U.K. and the U.S. as search volume climbed to 21,000 monthly searches, generating about 7,000 monthly organic visits across nearly 400 keywords. 
The category was born on TikTok. Google caught up later, and the brand that had already built the shelf captured the demand. I first heard Carrie Rose tell that story during a talk in Ibiza, which rather proves the point about where categories emerge before they appear in search.
The same listening posts work for any market, including boring B2B ones:
TikTok and Instagram search: Type your seed terms and watch what autocomplete suggests and how creators phrase things. Hashtag growth is trackable through TikTok’s Creative Center. The language people use in captions today often becomes next year’s keyword data.
YouTube: Watch autocomplete, new channels, video titles clustering around a topic, and the comments, where people describe their problems in their own words. For the AI governance cluster, YouTube explainers on the EU AI Act appeared well before the consultant-intent search terms.
Pinterest and Pinterest Trends: For consumer and lifestyle topics, Pinterest publishes rising searches months before they appear on Google.
Reddit and niche communities: Subreddit growth and recurring phrases are where many technical and B2B categories quietly name themselves. If three different threads independently use the same label for a problem, that label is a candidate keyword.
Podcasts and conference talks: Practitioners say the words on stage months before anyone types them into Google. It’s harder to quantify, but it’s free trend research you can consume while walking the dog.
Your own first-party data: Site search, sales call notes, and support tickets reveal intent with nowhere to hide, and they cost nothing to analyze.
The bridge back to SEO is simple: When the same phrase keeps appearing across these sources, add it to your keyword tools and check it monthly. 
The month a term starts showing search volume is your timing signal. Because you were watching the platforms instead of waiting for the tools, you’ll get there while keyword difficulty is still low.
How to tell a real category from noise
Everything above describes what the pattern looks like. Before you bet a strategy on it, rule out the ways keyword data can mislead you.
Check the cohort, not the total
The most common false positive is self-inflicted. If you or your tool added keywords to a tracking project during the period, your totals grew because the list grew, not because demand did. 
Any growth claim needs to be checked against a fixed cohort of keywords measured at both points in time. That’s especially important for emerging categories, where everyone is adding new terms to projects every month.
Separate news spikes from structural demand
A regulation hitting the headlines produces a spike that fades. A regulation that comes into force creates demand that persists because every affected business has to deal with it on its own timeline. 
Look at the trend over at least 12 months. Steady, compounding growth signals a category. One dramatic month signals a news story.
Look for commercial terms emerging behind informational ones
Curiosity produces informational queries. A category becomes a market when transactional language appears: consultant, agency, certification, cost, or template. 
In the AI governance data, the giveaway was the template and consultant terms in the tables above. They were small but growing, with meaningful search volume and low keyword difficulty. 
When people stop asking what something is and start looking for the document that helps them do it, budgets are being allocated.
Triangulate with data nobody can inflate
Finally, cross-check the story against first-party signals: what prospects ask on sales calls, what appears in support tickets, and what your client’s analytics show. 
In my case, the client’s inbound questions had shifted noticeably toward AI over the previous six months, matching the search trend. When the anecdotes and the data agree, trust the pattern.
What to do when you find one
If you or your client serves the space, the playbook follows directly from the signals. It’s also the playbook for an organic channel that has been fundamentally disrupted: Go where the competition hasn’t consolidated yet.
Move before keyword difficulty catches up with demand. Prioritize low-difficulty, buyer-intent terms over the headline regulation term every publisher will eventually chase.
Pick your label and commit to it. The vocabulary is still unstable, which means consistent naming across your site, LinkedIn presence, and PR can shape how the market talks about it. You’re not just ranking for the category. You’re helping define it.
Answer the invisible questions. Those zero-volume buyer questions haven’t disappeared. They’ve moved into AI tools. Publishing clear, direct answers positions you for AI citations now and for the search volume those questions will eventually accumulate as the language settles.
Build the practical assets early. The template, the checklist, the plain-language explainer of the standard. In a young category, the first person to publish a useful document often becomes the default authority at a cost that would embarrass a mature-market link-building campaign.
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The window doesn’t stay open for long
Most of what looks like an emerging category isn’t one. It’s a news cycle, a vendor’s marketing push, or an artifact of your own keyword list growing. Genuine categories are rare, which is exactly why they’re worth looking for systematically.
But when the pattern is real, it’s one of the few situations in modern SEO where a small player with a modest budget can secure positions that will be out of reach two years later. Categories emerge quietly in keyword tables long before they become obvious on LinkedIn. Recognize the pattern, and you’ll get there first.
Note: Search volume and keyword difficulty figures are monthly metrics from SE Ranking’s U.S. and U.K. databases, pulled in July 2026.

Most trends fade. Some become entirely new markets. The difference is visible in search data if you know where to look.

How to spot an emerging category in search data

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study.png" class="attachment-large size-large wp-post-image" alt="How SEO and PPC build trust across search: Case study" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>A 26-week case study shows how connected search marketing efforts improved visibility, addressed buyer friction, and reduced CPA.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study.png" class="attachment-large size-large wp-post-image" alt="How SEO and PPC build trust across search: Case study" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/How-SEO-and-PPC-build-trust-across-search-Case-study-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">A prospective customer searches for software. They don&#8217;t visit your website first. </p>



<p class="wp-block-paragraph">Instead, they skim <a href="https://searchengineland.com/guide/google-ai-overviews">AI Overviews</a>, read a <a href="https://searchengineland.com/reddit-seo-453406">Reddit</a> thread questioning your pricing, ask <a href="https://searchengineland.com/what-is-chatgpt-and-why-seos-should-care-392165">ChatGPT</a> for recommendations, follow its suggestion to a creator&#8217;s <a href="https://searchengineland.com/guide/youtube-seo">YouTube</a> comparison, watch a <a href="https://searchengineland.com/tiktok-seo-the-ultimate-guide-439795">TikTok</a> review, compare a competitor&#8217;s landing page, glance at your <a href="https://searchengineland.com/guide/google-business-profile">Google Business Profile</a> reviews, and only then click your paid search ad.</p>



<p class="wp-block-paragraph">Which channel gets credit? The answer is all of them.</p>



<p class="wp-block-paragraph">Today&#8217;s search journey doesn&#8217;t follow a linear path. Every interaction contributes evidence that builds trust, making visibility across the search journey more valuable than success in any single channel.&nbsp;</p>



<p class="wp-block-paragraph">Optimizing for organic and paid search independently may improve individual metrics, but it often overlooks how those channels influence one another throughout the buyer&#8217;s evaluation process.</p>



<p class="wp-block-paragraph">The challenge is no longer proving that SEO and PPC should collaborate. It&#8217;s measuring how much more value they create when they do.</p>



<h2 id="h-the-case-study-a-26-week-co-optimization-strategy" class="wp-block-heading">The case study: a 26-week co-optimization strategy</h2>



<p class="wp-block-paragraph">To evaluate this cross-channel dynamic, an education SaaS company that helps businesses create, market, and sell online courses coordinated its SEO and PPC efforts over a 26-week engagement.</p>



<p class="wp-block-paragraph">The company wasn&#8217;t facing a single performance issue. Instead, multiple friction points across the search journey were limiting visibility and reducing confidence during high-intent buying moments.</p>



<p class="wp-block-paragraph">At the start of the engagement:</p>



<ul class="wp-block-list">
<li><strong>Organic position: </strong>Core commercial keywords averaged an organic position of 15.2.</li>



<li><strong>Paid search CTR: </strong>Paid campaigns targeting those same themes averaged an 11.4% click-through rate.</li>



<li><strong>Branded search friction:</strong> A Reddit thread criticizing the company&#8217;s pricing ranked No. 4 for branded searches.</li>



<li><strong>Local reputation:</strong> The Google Business Profile had 37 reviews with a 3.6-star average rating.</li>



<li><strong>Backlink profile:</strong> The website had 212 referring domains.</li>
</ul>



<p class="wp-block-paragraph">Viewed independently, each metric pointed toward a different marketing function. Viewed together, they revealed a broader opportunity: prospective customers were forming opinions across AI answers, discussion forums, videos, reviews, paid ads, organic listings, and third-party publications long before reaching the company&#8217;s website.</p>



<p class="wp-block-paragraph">Instead of assigning each issue to a separate team, the initiative followed a coordinated sequence designed to test how resolving specific friction points influenced performance across related search channels.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: </em></strong><a href="https://searchengineland.com/seo-ppc-alignment-483407"><em><strong>SEO and PPC alignment starts with your org chart</strong></em></a>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0101ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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        Uncover the keywords, ads, landing pages, and strategies driving your competitors&#8217; paid search success—and find your next opportunity to outperform them.
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<h3 id="h-phase-1-weeks-1-8-establishing-reputation-and-authority" class="wp-block-heading">Phase 1 (Weeks 1-8): Establishing reputation and authority</h3>



<p class="wp-block-paragraph">The engagement began by strengthening trust signals across third-party search touchpoints before driving additional traffic.</p>



<p class="wp-block-paragraph">During Weeks 1 through 8, a structured review acquisition initiative grew the company&#8217;s Google Business Profile from 37 reviews, averaging 3.6 stars, to 164 reviews, averaging 4.3 stars. In parallel, a digital PR campaign secured 23 editorial placements, increasing referring domains from 212 to 235.</p>



<p class="wp-block-paragraph">These efforts established credible proof points that prospective customers could encounter throughout the search journey before arriving on the website.</p>



<h3 id="h-phase-2-weeks-9-13-commercial-content-gap-alignment" class="wp-block-heading">Phase 2 (Weeks 9-13): Commercial content gap alignment</h3>



<p class="wp-block-paragraph">With foundational trust signals improving, the focus shifted to aligning paid search insights with organic content priorities.</p>



<p class="wp-block-paragraph">Search term reports consistently surfaced commercial modifiers, competitor comparisons, pricing questions, and feature-specific queries that weren&#8217;t fully addressed on the website. Comparing paid search demand against existing commercial content identified 11 high-intent opportunities.</p>



<p class="wp-block-paragraph">During Weeks 9 through 13, high-impact commercial pages were expanded while new pages were created to address uncovered demand.</p>



<p class="wp-block-paragraph">Organic performance was measured by segmenting traffic specifically to those 11 updated URLs. Over the following 13 weeks, those pages generated 8,742 organic sessions.</p>



<p class="wp-block-paragraph">Following the content rollout, CPA across the corresponding paid search campaigns declined from $146 to $121. Broader account optimizations and market conditions also influence paid media performance, but the improvement coincided with tighter alignment between search intent, ad messaging, and landing page content.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: </em></strong><a href="https://searchengineland.com/ppc-landing-pages-post-click-experience-440297"><strong><em>PPC landing pages: How to craft a winning post-click experience</em></strong></a>



<h3 id="h-phase-3-weeks-14-21-addressing-third-party-friction" class="wp-block-heading">Phase 3 (Weeks 14-21): Addressing third-party friction</h3>



<p class="wp-block-paragraph">Despite improvements in commercial search visibility, branded search analysis revealed that prospective customers searching the company&#8217;s name were still encountering a negative Reddit thread at No. 4 on page one.&nbsp;</p>



<p class="wp-block-paragraph">A thread in that position on a branded search can quietly undercut paid search efficiency. A buyer who clicks a high-intent ad, then searches the brand name and finds pricing complaints, may abandon the decision the ad already paid to earn.</p>



<p class="wp-block-paragraph">The team published a detailed comparison video explaining the company&#8217;s pricing structure and value proposition across YouTube, TikTok, and Instagram during Weeks 14 through 21.</p>



<p class="wp-block-paragraph">Over the seven weeks following its release, the video generated 81,400 views. A manual review of 340 public comments found that 265, or 77.9%, were positive, indicating the content successfully addressed pricing questions prospective buyers were actively researching.</p>



<p class="wp-block-paragraph">Following the combined impact of the earlier PR campaign, review growth, and video distribution, manual SERP monitoring confirmed the Reddit thread moved from No. 4 to No. 11, shifting off Google&#8217;s first page for primary branded searches.</p>



<p class="wp-block-paragraph"><strong><em>Dig deeper: <a href="https://searchengineland.com/a-smarter-reddit-strategy-for-organic-and-ai-search-visibility-459369">A smarter Reddit strategy for organic and AI search visibility</a></em></strong>



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



<h2 id="h-measuring-total-lift" class="wp-block-heading">Measuring total lift</h2>



<p class="wp-block-paragraph">Viewed independently, each initiative showed measurable progress over the 26-week engagement. Viewed holistically, the sequence revealed how performance accumulated across the entire search journey:</p>



<ul class="wp-block-list">
<li><strong>Organic visibility: </strong>Core commercial keywords improved from position 15.2 to 9.7, moving priority terms onto page one.</li>



<li><strong>Paid media efficiency:</strong> Paid CTR declined to 9.8% amid broader AI Overview expansion, while paid impression share remained strong at 93%, with branded ad spend increasing just 6.2% — suggesting the paid presence continued serving as a trust anchor even as click behavior shifted industrywide.</li>



<li><strong>AI search visibility:</strong> Manual tracking across a fixed set of 42 priority commercial and comparison queries showed AI Overview citation frequency increased from 4.8%, or two of 42, to 31%, or 13 of 42.</li>
</ul>



<h2 id="h-the-framework-search-marketing-trust-accumulation" class="wp-block-heading">The framework: Search marketing trust accumulation</h2>



<p class="wp-block-paragraph">Looking back through the lens of this engagement, the results point to a broader principle. Search performance isn&#8217;t only about channel efficiency. It&#8217;s also about how buyer confidence accumulates across search interactions.</p>



<p class="wp-block-paragraph">This case study led to the development of a measurement framework referred to here as search marketing trust accumulation.</p>



<h3 id="h-core-philosophy" class="wp-block-heading"><strong>Core philosophy</strong></h3>



<p class="wp-block-paragraph">Measure search the way customers experience it, not the way marketing teams organize it.</p>



<h3 id="h-the-problem" class="wp-block-heading"><strong>The problem</strong></h3>



<p class="wp-block-paragraph">Traditional reporting evaluates performance in departmental silos:</p>



<figure class="wp-block-table"><table><tbody><tr><td><strong>Traditional channel slices</strong>: <strong>How teams report</strong></td><td><strong>Trust accumulation journey</strong>:<strong> How buyers decide</strong></td></tr><tr><td><strong>SEO:</strong> Rankings, organic sessions, backlinks</td><td><strong>Discovery:</strong> Organic visibility and paid impression share</td></tr><tr><td><strong>PPC:</strong> Click-through rate, or CTR, CPA, conversions</td><td><strong>Evaluation:</strong> Reviews, social proof, pricing videos</td></tr><tr><td><strong>Local/PR:</strong> Review counts, star ratings, domain authority</td><td><strong>Decision: </strong>Branded search, direct conversions, shortened sales cycle</td></tr></tbody></table></figure>



<div aria-hidden="true" class="wp-block-spacer"></div>



<p class="wp-block-paragraph">Buyers don&#8217;t experience marketing through departmental boundaries. They experience one continuous search journey. Evaluating channels independently can overlook how those interactions collectively reduce uncertainty and build confidence before a purchase decision.</p>



<h3 id="h-the-five-step-measurement-process" class="wp-block-heading">The five-step measurement process</h3>



<ul class="wp-block-list">
<li><strong>Map search touchpoints:</strong> Identify every meaningful search surface where buyers may encounter your brand, including organic search, paid search, AI Overviews, reviews, forums, video, and digital PR.</li>



<li><strong>Evaluate the evidence:</strong> Identify what each interaction contributes to buyer confidence. For example, organic search demonstrates relevance, reviews provide customer validation, and video helps answer evaluation questions.</li>



<li><strong>Measure trust accumulation:</strong> Shift the question from “Which channel gets conversion credit?” to “Which interactions collectively built enough confidence for the buyer to choose the brand?”</li>



<li><strong>Diagnose trust gaps:</strong> Identify where buyers encounter friction despite strong channel metrics, such as negative discussions, weak reviews, or missing comparison content.</li>



<li><strong>Optimize the search experience:</strong> Prioritize investments that strengthen the overall buyer journey rather than optimizing channels in isolation.</li>
</ul>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0102ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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        See where competitors are investing, which keywords drive their results, and how to capture more of the market.
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<h2 id="h-search-performance-is-bigger-than-any-one-channel" class="wp-block-heading">Search performance is bigger than any one channel</h2>



<p class="wp-block-paragraph">No single metric captured the full impact of this engagement because buyer confidence accumulated across multiple search interactions rather than within a single channel.</p>



<p class="wp-block-paragraph">Search marketing trust accumulation provides a way to measure search the way buyers actually experience it by evaluating how coordinated search marketing efforts build confidence across the entire decision-making process, not just within individual channels.</p>



<p class="wp-block-paragraph" id="h-monday-morning-checklist">Here&#8217;s your Monday morning checklist:</p>



<ul class="wp-block-list">
<li><strong>Audit your branded page one:</strong> Search your brand name in an incognito window. What shows up in positions two through five? Are forums, video snippets, or negative reviews stealing buyer confidence before they convert?</li>



<li><strong>Mine PPC search terms for organic gaps:</strong> Pull your top 20 highest-converting paid search terms. Do you have dedicated, optimized organic pages for those exact queries?</li>



<li><strong>Break down reporting silos:</strong> Schedule a combined monthly search sync where SEO, PPC, and reputation leads review shared search surfaces rather than isolated KPIs.</li>
</ul>

A prospective customer searches for software. They don’t visit your website first. 
Instead, they skim AI Overviews, read a Reddit thread questioning your pricing, ask ChatGPT for recommendations, follow its suggestion to a creator’s YouTube comparison, watch a TikTok review, compare a competitor’s landing page, glance at your Google Business Profile reviews, and only then click your paid search ad.
Which channel gets credit? The answer is all of them.
Today’s search journey doesn’t follow a linear path. Every interaction contributes evidence that builds trust, making visibility across the search journey more valuable than success in any single channel. 
Optimizing for organic and paid search independently may improve individual metrics, but it often overlooks how those channels influence one another throughout the buyer’s evaluation process.
The challenge is no longer proving that SEO and PPC should collaborate. It’s measuring how much more value they create when they do.
The case study: a 26-week co-optimization strategy
To evaluate this cross-channel dynamic, an education SaaS company that helps businesses create, market, and sell online courses coordinated its SEO and PPC efforts over a 26-week engagement.
The company wasn’t facing a single performance issue. Instead, multiple friction points across the search journey were limiting visibility and reducing confidence during high-intent buying moments.
At the start of the engagement:
Organic position: Core commercial keywords averaged an organic position of 15.2.
Paid search CTR: Paid campaigns targeting those same themes averaged an 11.4% click-through rate.
Branded search friction: A Reddit thread criticizing the company’s pricing ranked No. 4 for branded searches.
Local reputation: The Google Business Profile had 37 reviews with a 3.6-star average rating.
Backlink profile: The website had 212 referring domains.
Viewed independently, each metric pointed toward a different marketing function. Viewed together, they revealed a broader opportunity: prospective customers were forming opinions across AI answers, discussion forums, videos, reviews, paid ads, organic listings, and third-party publications long before reaching the company’s website.
Instead of assigning each issue to a separate team, the initiative followed a coordinated sequence designed to test how resolving specific friction points influenced performance across related search channels.
Dig deeper: SEO and PPC alignment starts with your org chart



  
your competitors win.
      
Analyze your competitors
    
Phase 1 (Weeks 1-8): Establishing reputation and authority
The engagement began by strengthening trust signals across third-party search touchpoints before driving additional traffic.
During Weeks 1 through 8, a structured review acquisition initiative grew the company’s Google Business Profile from 37 reviews, averaging 3.6 stars, to 164 reviews, averaging 4.3 stars. In parallel, a digital PR campaign secured 23 editorial placements, increasing referring domains from 212 to 235.
These efforts established credible proof points that prospective customers could encounter throughout the search journey before arriving on the website.
Phase 2 (Weeks 9-13): Commercial content gap alignment
With foundational trust signals improving, the focus shifted to aligning paid search insights with organic content priorities.
Search term reports consistently surfaced commercial modifiers, competitor comparisons, pricing questions, and feature-specific queries that weren’t fully addressed on the website. Comparing paid search demand against existing commercial content identified 11 high-intent opportunities.
During Weeks 9 through 13, high-impact commercial pages were expanded while new pages were created to address uncovered demand.
Organic performance was measured by segmenting traffic specifically to those 11 updated URLs. Over the following 13 weeks, those pages generated 8,742 organic sessions.
Following the content rollout, CPA across the corresponding paid search campaigns declined from $146 to $121. Broader account optimizations and market conditions also influence paid media performance, but the improvement coincided with tighter alignment between search intent, ad messaging, and landing page content.
Dig deeper: PPC landing pages: How to craft a winning post-click experience



Phase 3 (Weeks 14-21): Addressing third-party friction
Despite improvements in commercial search visibility, branded search analysis revealed that prospective customers searching the company’s name were still encountering a negative Reddit thread at No. 4 on page one. 
A thread in that position on a branded search can quietly undercut paid search efficiency. A buyer who clicks a high-intent ad, then searches the brand name and finds pricing complaints, may abandon the decision the ad already paid to earn.
The team published a detailed comparison video explaining the company’s pricing structure and value proposition across YouTube, TikTok, and Instagram during Weeks 14 through 21.
Over the seven weeks following its release, the video generated 81,400 views. A manual review of 340 public comments found that 265, or 77.9%, were positive, indicating the content successfully addressed pricing questions prospective buyers were actively researching.
Following the combined impact of the earlier PR campaign, review growth, and video distribution, manual SERP monitoring confirmed the Reddit thread moved from No. 4 to No. 11, shifting off Google’s first page for primary branded searches.
Dig deeper: A smarter Reddit strategy for organic and AI search visibility




	
	
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Measuring total lift
Viewed independently, each initiative showed measurable progress over the 26-week engagement. Viewed holistically, the sequence revealed how performance accumulated across the entire search journey:
Organic visibility: Core commercial keywords improved from position 15.2 to 9.7, moving priority terms onto page one.
Paid media efficiency: Paid CTR declined to 9.8% amid broader AI Overview expansion, while paid impression share remained strong at 93%, with branded ad spend increasing just 6.2% — suggesting the paid presence continued serving as a trust anchor even as click behavior shifted industrywide.
AI search visibility: Manual tracking across a fixed set of 42 priority commercial and comparison queries showed AI Overview citation frequency increased from 4.8%, or two of 42, to 31%, or 13 of 42.
The framework: Search marketing trust accumulation
Looking back through the lens of this engagement, the results point to a broader principle. Search performance isn’t only about channel efficiency. It’s also about how buyer confidence accumulates across search interactions.
This case study led to the development of a measurement framework referred to here as search marketing trust accumulation.
Core philosophy
Measure search the way customers experience it, not the way marketing teams organize it.
The problem
Traditional reporting evaluates performance in departmental silos:

Traditional channel slices: How teams reportTrust accumulation journey: How buyers decide
SEO: Rankings, organic sessions, backlinksDiscovery: Organic visibility and paid impression share
PPC: Click-through rate, or CTR, CPA, conversionsEvaluation: Reviews, social proof, pricing videos
Local/PR: Review counts, star ratings, domain authorityDecision: Branded search, direct conversions, shortened sales cycle






Buyers don’t experience marketing through departmental boundaries. They experience one continuous search journey. Evaluating channels independently can overlook how those interactions collectively reduce uncertainty and build confidence before a purchase decision.
The five-step measurement process
Map search touchpoints: Identify every meaningful search surface where buyers may encounter your brand, including organic search, paid search, AI Overviews, reviews, forums, video, and digital PR.
Evaluate the evidence: Identify what each interaction contributes to buyer confidence. For example, organic search demonstrates relevance, reviews provide customer validation, and video helps answer evaluation questions.
Measure trust accumulation: Shift the question from “Which channel gets conversion credit?” to “Which interactions collectively built enough confidence for the buyer to choose the brand?”
Diagnose trust gaps: Identify where buyers encounter friction despite strong channel metrics, such as negative discussions, weak reviews, or missing comparison content.
Optimize the search experience: Prioritize investments that strengthen the overall buyer journey rather than optimizing channels in isolation.
a customer you lose.
      
See who’s stealing your traffic
    
Search performance is bigger than any one channel
No single metric captured the full impact of this engagement because buyer confidence accumulated across multiple search interactions rather than within a single channel.
Search marketing trust accumulation provides a way to measure search the way buyers actually experience it by evaluating how coordinated search marketing efforts build confidence across the entire decision-making process, not just within individual channels.
Here’s your Monday morning checklist:
Audit your branded page one: Search your brand name in an incognito window. What shows up in positions two through five? Are forums, video snippets, or negative reviews stealing buyer confidence before they convert?
Mine PPC search terms for organic gaps: Pull your top 20 highest-converting paid search terms. Do you have dedicated, optimized organic pages for those exact queries?
Break down reporting silos: Schedule a combined monthly search sync where SEO, PPC, and reputation leads review shared search surfaces rather than isolated KPIs.

A 26-week case study shows how connected search marketing efforts improved visibility, addressed buyer friction, and reduced CPA.

How SEO and PPC build trust across search: Case study

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-800x450.jpg" class="attachment-large size-large wp-post-image" alt="google" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Jeff Dean has been with Google for over 27 years, and helped build Google Search in the early days through AI Mode.

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-800x450.jpg" class="attachment-large size-large wp-post-image" alt="google" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2018/09/google-headquarters-office-mountain-view-ss-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p class="wp-block-paragraph">Google is making some big leadership changes with Jeff Dean leaving Google after 27 years and Demis Hassabis changing roles within the company.  Most of these changes impact the AI side of Google, including DeepMind and the Gemini teams, but it also may impact Google Search.</p>



<p class="wp-block-paragraph">Google <a href="https://blog.google/company-news/inside-google/message-ceo/next-chapter-ai-momentum/">announced</a> these changes on the company blog and you can imagine, there is an intense amount of coverage from news outlets on these changes &#8211; see <a href="https://www.techmeme.com/260805/p26#a260805p26">Techmeme</a>. </p>



<p class="wp-block-paragraph"><strong>The changes. </strong>Here are highlights of the changes:</p>



<ul class="wp-block-list">
<li><strong>Jeff Dean</strong> who has been with Google for 27 years, being one of the first 30 or so employees, is leaving Google.  He is starting his own company named Discover Loop, to seek AI-powered breakthroughs in drug discover, chip design and more. Jeff Dean was instrumental in building the early Google Search but also instrumental in most of its upgrades throughout the year, including RankBrain, AI Overviews, AI Mode and much more.</li>



<li><strong>Demis Hassabis</strong> is stepping down as Google DeepMind&#8217;s CEO and will become the chair of that department and &#8220;Alphabet chief scientist.&#8221; Supposedly, Demis has been stepping back from his CEO role for a year now, wanting to work more on AGI and future AI developments. </li>



<li><strong>Koray Kavukcuoglu</strong> will lead Google DeepMind as its SVP, reporting to Sundar Pichai.</li>



<li>Google senior fellow Sanjay Ghemawat, Oriol Vinyals a DeepMind VP and Quoc Le, a Google Brain co-founder are leaving to go with Jeff Dean to Discover Loop</li>
</ul>



<p class="wp-block-paragraph"><strong>Why this matters. </strong>Everyone wants to know what impact this will have on Google, Google Search, Gemini and the company overall. Google&#8217;s stock price, if it is any indication, was down 4% yesterday on the news.</p>



<p class="wp-block-paragraph">But ultimately, Google has a lot of brain power, so we will see how future Gemini, Google Search and other product releases are impacted over time. </p>


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Google is making some big leadership changes with Jeff Dean leaving Google after 27 years and Demis Hassabis changing roles within the company.  Most of these changes impact the AI side of Google, including DeepMind and the Gemini teams, but it also may impact Google Search.
Google announced these changes on the company blog and you can imagine, there is an intense amount of coverage from news outlets on these changes – see Techmeme. 
The changes. Here are highlights of the changes:
Jeff Dean who has been with Google for 27 years, being one of the first 30 or so employees, is leaving Google.  He is starting his own company named Discover Loop, to seek AI-powered breakthroughs in drug discover, chip design and more. Jeff Dean was instrumental in building the early Google Search but also instrumental in most of its upgrades throughout the year, including RankBrain, AI Overviews, AI Mode and much more.
Demis Hassabis is stepping down as Google DeepMind’s CEO and will become the chair of that department and “Alphabet chief scientist.” Supposedly, Demis has been stepping back from his CEO role for a year now, wanting to work more on AGI and future AI developments. 
Koray Kavukcuoglu will lead Google DeepMind as its SVP, reporting to Sundar Pichai.
Google senior fellow Sanjay Ghemawat, Oriol Vinyals a DeepMind VP and Quoc Le, a Google Brain co-founder are leaving to go with Jeff Dean to Discover Loop
Why this matters. Everyone wants to know what impact this will have on Google, Google Search, Gemini and the company overall. Google’s stock price, if it is any indication, was down 4% yesterday on the news.
But ultimately, Google has a lot of brain power, so we will see how future Gemini, Google Search and other product releases are impacted over time. 
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Jeff Dean has been with Google for over 27 years, and helped build Google Search in the early days through AI Mode.

Google leadership changes with Jeff Dean out, Demis Hassabis role change and more

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>Microsoft now lets advertisers block Audience Ads from appearing next to specific page titles, for more control over ad placement.

<div><img width="1672" height="941" src="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion.png 1672w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Microsoft-ads-content-exclusion-1200x675.png 1200w" sizes="(max-width: 1672px) 100vw, 1672px" /></div>
<p class="wp-block-paragraph">Microsoft Advertising is rolling out Excluded content terms, a new brand safety control that lets advertisers stop Audience Ads from appearing alongside specific page titles.</p>



<p class="wp-block-paragraph">The feature gives marketers another way to protect brand reputation beyond website exclusions and sensitive content categories.</p>



<p class="wp-block-paragraph"><strong>What&#8217;s happening</strong>. Advertisers can now create lists of unwanted words or phrases that prevent their ads from showing next to page titles containing those terms.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="698" height="388" src="https://searchengineland.com/wp-content/seloads/2026/08/content-exclusion.png" alt="" class="wp-image-484356"/></figure>



<p class="wp-block-paragraph">Excluded content terms can be added at the account or campaign level, with support for up to 1,000 terms. Campaign-level exclusions are automatically applied across all campaigns in the account, reducing the need to recreate lists for future campaigns.</p>



<p class="wp-block-paragraph">The feature is managed through Tools &gt; Content suitability &gt; Excluded content terms and is rolling out gradually, so not all advertisers have access yet.</p>



<p class="wp-block-paragraph"><strong>Why we care</strong>. While website exclusion lists block specific domains and content exclusions filter broad sensitive categories, excluded content terms offer much more granular control. Brands can avoid appearing next to page titles that mention topics, products or phrases they consider unsuitable, even if the page itself doesn&#8217;t fall into a blocked content category.</p>



<p class="wp-block-paragraph"><strong>The bigger picture</strong>. Microsoft continues expanding its content suitability controls as advertisers place greater emphasis on brand safety. The new feature complements existing protections, including website exclusion lists and IAS-powered content exclusions that already filter ads away from high-risk categories such as adult content, gambling, hate speech and violence.</p>



<p class="wp-block-paragraph"><strong>Bottom line</strong>. <a href="https://help.ads.microsoft.com/#apex/ads/en/60234/0">Excluded content terms</a> give Microsoft Advertising users a more precise way to control where Audience Ads appear, helping brands avoid unwanted associations without relying solely on website or category-level exclusions.</p>


<a href="https://www.semrush.com/analytics/traffic/paid-search?utm_campaign=ic_sel_0102ppc&#038;utm_source=searchengineland.com&#038;utm_medium=overlay&#038;onboarding=off" target="_blank">
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Microsoft Advertising is rolling out Excluded content terms, a new brand safety control that lets advertisers stop Audience Ads from appearing alongside specific page titles.
The feature gives marketers another way to protect brand reputation beyond website exclusions and sensitive content categories.
What’s happening. Advertisers can now create lists of unwanted words or phrases that prevent their ads from showing next to page titles containing those terms.




Excluded content terms can be added at the account or campaign level, with support for up to 1,000 terms. Campaign-level exclusions are automatically applied across all campaigns in the account, reducing the need to recreate lists for future campaigns.
The feature is managed through Tools > Content suitability > Excluded content terms and is rolling out gradually, so not all advertisers have access yet.
Why we care. While website exclusion lists block specific domains and content exclusions filter broad sensitive categories, excluded content terms offer much more granular control. Brands can avoid appearing next to page titles that mention topics, products or phrases they consider unsuitable, even if the page itself doesn’t fall into a blocked content category.
The bigger picture. Microsoft continues expanding its content suitability controls as advertisers place greater emphasis on brand safety. The new feature complements existing protections, including website exclusion lists and IAS-powered content exclusions that already filter ads away from high-risk categories such as adult content, gambling, hate speech and violence.
Bottom line. Excluded content terms give Microsoft Advertising users a more precise way to control where Audience Ads appear, helping brands avoid unwanted associations without relying solely on website or category-level exclusions.
a customer you lose.
      
See who’s stealing your traffic

Microsoft now lets advertisers block Audience Ads from appearing next to specific page titles, for more control over ad placement.

Microsoft Advertising adds excluded content terms for Audience Ads

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image.png" class="attachment-large size-large wp-post-image" alt="Does topical focus make your brand more visible - featured-image" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>New research reveals why AI cites brands across many topics but recommends them only where they've built repeat topical authority.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image.png" class="attachment-large size-large wp-post-image" alt="Does topical focus make your brand more visible - featured-image" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image.png 1920w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/08/Does-topical-focus-make-your-brand-more-visible-featured-image-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p class="wp-block-paragraph">Should you keep your content strategy focused on a few core topics, or can you go broad to really widen the “funnel”?</p>



<p class="wp-block-paragraph">In <a href="https://www.growth-memo.com/p/does-topical-authority-matter-in">Does topical authority matter in AI Search?</a>, I tested the core topical-authority claim in AEO by examining repeat presence across categories. I found that there is indeed a pattern of “category owners” who sustain their lead over months.&nbsp;</p>



<p class="wp-block-paragraph">This memo asks a different question: Once a brand has proven authority in one topic or category, does that authority carry into adjacent or distant categories? And if so, does it still look like an LLM <em>recommendation</em> or only a <em>source</em> in a citation set?</p>



<p class="wp-block-paragraph">In this memo:</p>



<ul class="wp-block-list">
<li>Brands have good chances of getting cited outside their established expertise, but not mentioned.&nbsp;</li>



<li>A small but robust effect that suggests brands that “own” a category are more successful at expanding into other categories.</li>



<li>The topical authority effect in AI Search does not show up equally across industries.</li>



<li>A category is not won until the brand earns repeat mentions, not just citations.</li>
</ul>



<p><a href="https://www.growth-memo.com/embed?transparent=1" rel="noopener noreferrer">View embedded content</a>



<h2 id="h-the-data-behind-the-findings" class="wp-block-heading">The data behind the findings</h2>



<p class="wp-block-paragraph">To test the hypothesis, Semrush was kind enough to provide me with a broad sample of AI Visibility Toolkit data across about 1,000 categories. I ran 3 tests:</p>



<ul class="wp-block-list">
<li>The <strong>relatedness test </strong>compares a brand&#8217;s new category appearances with categories where it had already appeared in at least 3 of 5 prompts.</li>



<li>The <strong>future performance test</strong> traces brand mention and citation appearance across 6 months.</li>



<li>The <strong>breadth vs depth test</strong> compares whether brands that are cited or mentioned in many categories see any detriment in covering content topics in breadth vs depth.</li>
</ul>



<p class="wp-block-paragraph">Semrush provided the following U.S. ChatGPT data from the AI Visibility Toolkit: 1,094 categories, 5 prompt variants per category, January through June 2026.&nbsp;</p>



<ul class="wp-block-list">
<li>The breadth tests draw on 283,215 citations and 76,493 named-brand-mention observations, each paired with the following month&#8217;s outcome.&nbsp;</li>



<li>The relatedness test draws on 45,578 expansion appearances by 1,458 mapped brand entities.&nbsp;</li>



<li>Every number here is an association after controls, so the models cannot prove that publishing or category expansion caused the later result.</li>



<li>Full methodology, measures, models, and scope limits are at the end of this Memo.</li>
</ul>



<h2 id="h-1-topical-authority-is-different-for-mentions-vs-citations" class="wp-block-heading">1. Topical Authority is different for mentions vs citations</h2>



<p class="wp-block-paragraph">The <a href="https://www.growth-memo.com/p/how-to-measure-topical-authority">Topical Authority</a> concept in SEO says that brands cannot or should not try to rank in all sorts of topics, but instead focus on topics that are closest to their core expertise. There are exceptions. But is that also true in AI Search? To find out, I embedded the ~1,000 categories in the study data and matched them against the core expertise of the brands we examined.</p>



<p class="wp-block-paragraph">The results: Brands have good chances of getting cited outside their established expertise, but not mentioned. In distant categories from their core expertise (based on semantic similarity measurements), 50% appearances are citations and only 25% are mentions. Only 9% get both.&nbsp;</p>



<p class="wp-block-paragraph">In close categories that are more topically relevant to a brand, 74% are cited, 44% are named, and 34% get both.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1680" height="1944" src="https://searchengineland.com/wp-content/seloads/2026/08/image-8.png" alt="" class="wp-image-484283" srcset="https://searchengineland.com/wp-content/seloads/2026/08/image-8.png 1680w, https://searchengineland.com/wp-content/seloads/2026/08/image-8-768x889.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/image-8-1327x1536.png 1327w" sizes="(max-width: 1680px) 100vw, 1680px" /></figure>



<p class="wp-block-paragraph">Citation-only presence barely changes across category relevance: 41% in distant categories versus 40% in close ones.&nbsp;</p>



<p class="wp-block-paragraph">In other words, you can be a source on pretty much any topic if it matches the regular criteria for source citations. But the AI <em>recommends</em> you in core topics.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1680" height="1899" src="https://searchengineland.com/wp-content/seloads/2026/08/image-10.png" alt="" class="wp-image-484285" srcset="https://searchengineland.com/wp-content/seloads/2026/08/image-10.png 1680w, https://searchengineland.com/wp-content/seloads/2026/08/image-10-768x868.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/image-10-1359x1536.png 1359w" sizes="(max-width: 1680px) 100vw, 1680px" /></figure>



<h2 id="h-2-topical-authority-requires-depth" class="wp-block-heading">2. Topical Authority requires depth</h2>



<p class="wp-block-paragraph">A domain can surface once in 20 categories and own none of them.&nbsp;</p>



<ul class="wp-block-list">
<li>Presence in answers for the topic measures whether the brand appears at all.</li>



<li>Depth in the topic measures how many of the 5 prompt variants the brand appears in.</li>



<li>Category performance measures its share of the citations or brand mentions in the answers.</li>
</ul>



<p class="wp-block-paragraph">In <a href="https://www.growth-memo.com/p/does-topical-authority-matter-in">Does topical authority matter in AI search?</a>, we saw repeat presence as the early signal of topical authority. This Memo adds a constraint: The authority only carries brand recognition into categories that are close to the brand&#8217;s demonstrated expertise.</p>



<p class="wp-block-paragraph">Once again, I found no detriment when showing up across many categories <em>for citations</em>. The association rises from +0.012 when appearing in 1/5 category prompts to +0.062 when a domain appears in all 5. Being cited in many categories does not show a spread-thin effect in this sample.</p>



<p class="wp-block-paragraph">Brand mentions tell a different story. Being mentioned in 1/5 category prompts across the categories a brand appears in is associated with a lower mention share at -0.051.&nbsp;</p>



<p class="wp-block-paragraph">But at 5/5, it’s slightly positive. In plain words, we can see a small but robust effect that suggests brands that “own” a category are more successful at expanding into other categories.&nbsp;</p>



<p class="wp-block-paragraph">Overall, this data shows trying to be everywhere is associated with fewer brand mentions; being in many categories you <em>actually</em> own may help slightly. The &#8220;spread too thin&#8221; penalty is really a penalty for shallow presence, not for breadth itself.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1680" height="1824" src="https://searchengineland.com/wp-content/seloads/2026/08/image-9.png" alt="" class="wp-image-484284" srcset="https://searchengineland.com/wp-content/seloads/2026/08/image-9.png 1680w, https://searchengineland.com/wp-content/seloads/2026/08/image-9-768x834.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/image-9-1415x1536.png 1415w" sizes="(max-width: 1680px) 100vw, 1680px" /></figure>



<p class="wp-block-paragraph">Keep in mind that there is no defensible universal category limit. The data does not support the claim that a site can serve an unlimited number of categories, either.&nbsp;</p>



<p class="wp-block-paragraph">The other thing is that the associations here are <em>very</em> light, and we should be careful not to overvalue the effect on topical authority on overall visibility. Other factors, like <a href="https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention">writing style</a>, overall <a href="https://www.growth-memo.com/p/how-you-can-track-brand-authority">brand authority</a>, and <a href="https://www.growth-memo.com/p/topics-matter-for-third-party-authority">third-party web mentions</a> might outweigh topical authority.</p>



<p class="wp-block-paragraph">A checklist beats a style opinion when 4 writers are shipping against the same standard. The <a href="https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention?open=false#%C2%A7for-premium-subscribers-your-implementation-kit-is-below">AI Writing Implementation Kit</a> gives your team the audit criteria in writing. Premium subscribers get the kit <a href="https://www.growth-memo.com/p/exclusive-growth-premium-resources">plus 40+ other tools, checklists, and stakeholder decks</a>.</p>



<h2 id="h-3-not-all-industries-show-topical-authority-equally" class="wp-block-heading">3. Not all industries show Topical Authority equally</h2>



<p class="wp-block-paragraph">The topical authority effect in AI Search does not show up equally across industries.</p>



<p class="wp-block-paragraph">Finance and real estate show the strongest repeat-citation pattern:</p>



<ul class="wp-block-list">
<li>In finance, the citation-breadth association rises from +0.054 at 1 prompt variant to +0.139 at all 5.</li>



<li>Real estate rises from +0.021 to +0.135.</li>
</ul>



<p class="wp-block-paragraph">In those industries, broader repeated coverage is associated with stronger source visibility. That makes category expansion a viable citation strategy. That does not mean every finance or real estate brand can win every adjacent category.&nbsp;</p>



<p class="wp-block-paragraph">It means we don&#8217;t see an obvious “spread too thin” penalty for sources in these markets. When a domain appears repeatedly across a category’s prompt variants, it tends to hold more citation shares in the following month.</p>



<p class="wp-block-paragraph">Legal and healthcare place a tighter constraint on brand mentions:</p>



<ul class="wp-block-list">
<li>In legal, the mention-breadth association remains negative even at full 5-prompt coverage, -0.058.</li>



<li>Healthcare follows the same pattern at -0.037.</li>
</ul>



<p class="wp-block-paragraph">More consistent coverage can improve a domain’s citation position, but it does not reliably translate into more named-brand visibility. A likely explanation is that these topics involve higher-stakes choices, where being a credible source is not enough to make a brand the recommended answer.</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1680" height="1824" src="https://searchengineland.com/wp-content/seloads/2026/08/image-11.png" alt="" class="wp-image-484286" srcset="https://searchengineland.com/wp-content/seloads/2026/08/image-11.png 1680w, https://searchengineland.com/wp-content/seloads/2026/08/image-11-768x834.png 768w, https://searchengineland.com/wp-content/seloads/2026/08/image-11-1415x1536.png 1415w" sizes="(max-width: 1680px) 100vw, 1680px" /></figure>



<p class="wp-block-paragraph"><em>Positive means wider breadth is associated with higher next-month share after controls; negative means lower share.</em>



<p class="wp-block-paragraph">The practical implication is simple: Finance and real-estate teams can test expansion into related categories with citations as an early success metric. Legal and healthcare teams should use a higher bar. A category is not won until the brand earns repeat mentions, not just citations.</p>



<h2 id="h-methodology" class="wp-block-heading">Methodology</h2>



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



<p class="wp-block-paragraph">The study uses Semrush&#8217;s U.S. ChatGPT dataset from the <a href="https://www.semrush.com/ai-seo/overview/">AI Visibility Toolkit</a> from January through June 2026:</p>



<ul class="wp-block-list">
<li>It includes 1,094 categories and 5 prompt variants per category in every monthly snapshot.</li>



<li>The breadth models use 283,215 citations and 76,493 named-brand-mention domain-category observations from January through May. Each current-month observation has a next-month outcome. A domain that disappears from the category receives a share of zero.</li>



<li>The relatedness analysis uses 45,578 expansion appearances by 1,458 mapped brand entities across all 1,094 categories. It has February through May, starting snapshots because each appearance needs prior history and a following-month outcome.</li>
</ul>



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



<p class="wp-block-paragraph">Citation share is a domain&#8217;s share of all source citations in a category&#8217;s answers. Brand-mention share is its share of all named brand mentions. The study does not combine them because ChatGPT produces more citations than named brand mentions.</p>



<p class="wp-block-paragraph">Depth measures the number of a category&#8217;s 5 prompt variants where a domain appears. Breadth measures the number of categories where it appears in the current month. The sensitivity test defines a breadth category using 1one through 5five prompt appearances.</p>



<p class="wp-block-paragraph">For the relatedness analysis, demonstrated expertise means appearing in at least 3three prompt variants in a category before the target-month appearance. An expansion appearance is a brand showing up in a target category where it had not previously reached that depth. Category relationship comes from multilingual semantic similarity between the target category&#8217;s title and prompts and the brand&#8217;s prior expert categories.</p>



<p class="wp-block-paragraph"><strong>Models and controls</strong>



<p class="wp-block-paragraph">The breadth models estimate the relationship between current breadth and next-month citation or mention share within the same category. They control for current share, current depth, the other signal&#8217;s share, Authority Score, organic traffic, branded search demand, and category-month differences.</p>



<p class="wp-block-paragraph">The relatedness model compares close and distant expansion appearances while controlling for current citation and mention depth, current citation and mention share, breadth, Authority Score, organic traffic, branded search demand, same-industry status, and category-month differences.</p>



<p class="wp-block-paragraph"><strong>Entity matching and scope boundaries</strong>



<p class="wp-block-paragraph">Citations are domains, and named brands are text entities. Semrush maps both to a first-party brand entity where possible. The relatedness results, therefore, describe mapped brands, not every raw citation or name in the source data.</p>



<p class="wp-block-paragraph">The design measures associations, not a randomized expansion program. It cannot establish that publishing, brand strategy, or category expansion caused the later outcomes. It also does not produce a reliable maximum number of categories a site can serve.</p>



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


Should you keep your content strategy focused on a few core topics, or can you go broad to really widen the “funnel”?
In Does topical authority matter in AI Search?, I tested the core topical-authority claim in AEO by examining repeat presence across categories. I found that there is indeed a pattern of “category owners” who sustain their lead over months. 
This memo asks a different question: Once a brand has proven authority in one topic or category, does that authority carry into adjacent or distant categories? And if so, does it still look like an LLM recommendation or only a source in a citation set?
In this memo:
Brands have good chances of getting cited outside their established expertise, but not mentioned. 
A small but robust effect that suggests brands that “own” a category are more successful at expanding into other categories.
The topical authority effect in AI Search does not show up equally across industries.
A category is not won until the brand earns repeat mentions, not just citations.
View embedded content



The data behind the findings
To test the hypothesis, Semrush was kind enough to provide me with a broad sample of AI Visibility Toolkit data across about 1,000 categories. I ran 3 tests:
The relatedness test compares a brand’s new category appearances with categories where it had already appeared in at least 3 of 5 prompts.
The future performance test traces brand mention and citation appearance across 6 months.
The breadth vs depth test compares whether brands that are cited or mentioned in many categories see any detriment in covering content topics in breadth vs depth.
Semrush provided the following U.S. ChatGPT data from the AI Visibility Toolkit: 1,094 categories, 5 prompt variants per category, January through June 2026. 
The breadth tests draw on 283,215 citations and 76,493 named-brand-mention observations, each paired with the following month’s outcome. 
The relatedness test draws on 45,578 expansion appearances by 1,458 mapped brand entities. 
Every number here is an association after controls, so the models cannot prove that publishing or category expansion caused the later result.
Full methodology, measures, models, and scope limits are at the end of this Memo.
1. Topical Authority is different for mentions vs citations
The Topical Authority concept in SEO says that brands cannot or should not try to rank in all sorts of topics, but instead focus on topics that are closest to their core expertise. There are exceptions. But is that also true in AI Search? To find out, I embedded the ~1,000 categories in the study data and matched them against the core expertise of the brands we examined.
The results: Brands have good chances of getting cited outside their established expertise, but not mentioned. In distant categories from their core expertise (based on semantic similarity measurements), 50% appearances are citations and only 25% are mentions. Only 9% get both. 
In close categories that are more topically relevant to a brand, 74% are cited, 44% are named, and 34% get both.




Citation-only presence barely changes across category relevance: 41% in distant categories versus 40% in close ones. 
In other words, you can be a source on pretty much any topic if it matches the regular criteria for source citations. But the AI recommends you in core topics.




2. Topical Authority requires depth
A domain can surface once in 20 categories and own none of them. 
Presence in answers for the topic measures whether the brand appears at all.
Depth in the topic measures how many of the 5 prompt variants the brand appears in.
Category performance measures its share of the citations or brand mentions in the answers.
In Does topical authority matter in AI search?, we saw repeat presence as the early signal of topical authority. This Memo adds a constraint: The authority only carries brand recognition into categories that are close to the brand’s demonstrated expertise.
Once again, I found no detriment when showing up across many categories for citations. The association rises from +0.012 when appearing in 1/5 category prompts to +0.062 when a domain appears in all 5. Being cited in many categories does not show a spread-thin effect in this sample.
Brand mentions tell a different story. Being mentioned in 1/5 category prompts across the categories a brand appears in is associated with a lower mention share at -0.051. 
But at 5/5, it’s slightly positive. In plain words, we can see a small but robust effect that suggests brands that “own” a category are more successful at expanding into other categories. 
Overall, this data shows trying to be everywhere is associated with fewer brand mentions; being in many categories you actually own may help slightly. The “spread too thin” penalty is really a penalty for shallow presence, not for breadth itself.




Keep in mind that there is no defensible universal category limit. The data does not support the claim that a site can serve an unlimited number of categories, either. 
The other thing is that the associations here are very light, and we should be careful not to overvalue the effect on topical authority on overall visibility. Other factors, like writing style, overall brand authority, and third-party web mentions might outweigh topical authority.
A checklist beats a style opinion when 4 writers are shipping against the same standard. The AI Writing Implementation Kit gives your team the audit criteria in writing. Premium subscribers get the kit plus 40+ other tools, checklists, and stakeholder decks.
3. Not all industries show Topical Authority equally
The topical authority effect in AI Search does not show up equally across industries.
Finance and real estate show the strongest repeat-citation pattern:
In finance, the citation-breadth association rises from +0.054 at 1 prompt variant to +0.139 at all 5.
Real estate rises from +0.021 to +0.135.
In those industries, broader repeated coverage is associated with stronger source visibility. That makes category expansion a viable citation strategy. That does not mean every finance or real estate brand can win every adjacent category. 
It means we don’t see an obvious “spread too thin” penalty for sources in these markets. When a domain appears repeatedly across a category’s prompt variants, it tends to hold more citation shares in the following month.
Legal and healthcare place a tighter constraint on brand mentions:
In legal, the mention-breadth association remains negative even at full 5-prompt coverage, -0.058.
Healthcare follows the same pattern at -0.037.
More consistent coverage can improve a domain’s citation position, but it does not reliably translate into more named-brand visibility. A likely explanation is that these topics involve higher-stakes choices, where being a credible source is not enough to make a brand the recommended answer.




Positive means wider breadth is associated with higher next-month share after controls; negative means lower share.



The practical implication is simple: Finance and real-estate teams can test expansion into related categories with citations as an early success metric. Legal and healthcare teams should use a higher bar. A category is not won until the brand earns repeat mentions, not just citations.
Methodology
Sample



The study uses Semrush’s U.S. ChatGPT dataset from the AI Visibility Toolkit from January through June 2026:
It includes 1,094 categories and 5 prompt variants per category in every monthly snapshot.
The breadth models use 283,215 citations and 76,493 named-brand-mention domain-category observations from January through May. Each current-month observation has a next-month outcome. A domain that disappears from the category receives a share of zero.
The relatedness analysis uses 45,578 expansion appearances by 1,458 mapped brand entities across all 1,094 categories. It has February through May, starting snapshots because each appearance needs prior history and a following-month outcome.
Measures



Citation share is a domain’s share of all source citations in a category’s answers. Brand-mention share is its share of all named brand mentions. The study does not combine them because ChatGPT produces more citations than named brand mentions.
Depth measures the number of a category’s 5 prompt variants where a domain appears. Breadth measures the number of categories where it appears in the current month. The sensitivity test defines a breadth category using 1one through 5five prompt appearances.
For the relatedness analysis, demonstrated expertise means appearing in at least 3three prompt variants in a category before the target-month appearance. An expansion appearance is a brand showing up in a target category where it had not previously reached that depth. Category relationship comes from multilingual semantic similarity between the target category’s title and prompts and the brand’s prior expert categories.
Models and controls



The breadth models estimate the relationship between current breadth and next-month citation or mention share within the same category. They control for current share, current depth, the other signal’s share, Authority Score, organic traffic, branded search demand, and category-month differences.
The relatedness model compares close and distant expansion appearances while controlling for current citation and mention depth, current citation and mention share, breadth, Authority Score, organic traffic, branded search demand, same-industry status, and category-month differences.
Entity matching and scope boundaries



Citations are domains, and named brands are text entities. Semrush maps both to a first-party brand entity where possible. The relatedness results, therefore, describe mapped brands, not every raw citation or name in the source data.
The design measures associations, not a randomized expansion program. It cannot establish that publishing, brand strategy, or category expansion caused the later outcomes. It also does not produce a reliable maximum number of categories a site can serve.
This post first appeared on the author’s website and is republished here with permission.

New research reveals why AI cites brands across many topics but recommends them only where they've built repeat topical authority.

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