<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding.png" class="attachment-large size-large wp-post-image" alt="Microsoft Bing traditional search vs. grounding systems" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI search is pushing indexes beyond relevance, with Bing focusing on facts, attribution, and confidence before answers are generated.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding.png" class="attachment-large size-large wp-post-image" alt="Microsoft Bing traditional search vs. grounding systems" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/bing-index-traditional-search-ai-grounding-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>The search index is evolving from ranking pages to supporting AI-generated answers. In a <a href="https://www.linkedin.com/feed/update/urn:li:activity:7457826865551040512?commentUrn=urn%3Ali%3Acomment%3A%28activity%3A7457826865551040512%2C7457830105592131586%29&amp;replyUrn=urn%3Ali%3Acomment%3A%28activity%3A7457826865551040512%2C7457831075940048896%29&amp;dashCommentUrn=urn%3Ali%3Afsd_comment%3A%287457830105592131586%2Curn%3Ali%3Aactivity%3A7457826865551040512%29&amp;dashReplyUrn=urn%3Ali%3Afsd_comment%3A%287457831075940048896%2Curn%3Ali%3Aactivity%3A7457826865551040512%29" target="_blank" rel="noopener">technical blog post</a> &#8220;on the evolving technical characteristics of the index,&#8221; published today, Microsoft Bing explained why AI search needs a different indexing system than traditional web search.</p>



<p><strong>Traditional search vs. grounding systems. </strong>Microsoft said traditional search can rely on users to self-correct, while AI systems need stronger evidence because they generate committed answers.</p>



<ul class="wp-block-list">
<li>Traditional search is built around documents. Users get ranked links, scan the results, and decide what to trust.</li>



<li>Grounding systems are built around supportable facts with clear sourcing. The AI uses that information to generate a combined answer, where mistakes can compound across sources and reasoning steps.</li>
</ul>



<p>They shared this table: </p>



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<p><strong>What&#8217;s different.</strong> Traditional ranking is optimized for relevance. Grounding must also assess whether information is accurate, up to date, clearly sourced, and sufficient to support an answer. That means AI indexes need to account for whether:</p>



<ul class="wp-block-list">
<li>A page’s meaning survives chunking and transformation.</li>



<li>The source is clearly identified.</li>



<li>The information is fresh enough to use.</li>



<li>Important facts are actually retrievable and groundable.</li>



<li>Grounding systems need to detect disagreements between sources before generating an answer.</li>
</ul>



<p><strong>Stale content. </strong>Stale content creates a different risk in AI answers, Microsoft said. In traditional search, it may hurt ranking quality. In grounding systems, it can directly generate a wrong answer.</p>



<p><strong>Contradictions.</strong> A search engine can rank one source above another and let users decide. Grounding systems must recognize conflicting evidence before turning it into a single answer, according to Microsoft.</p>



<p><strong>Retrieval is more complex.</strong> Search is usually a single interaction: query in, ranked results out. Microsoft said grounded AI systems may retrieve information repeatedly, refine based on earlier results, combine evidence, and reassess confidence before answering.</p>



<p><strong>How indexing quality is measured.</strong> Search quality has traditionally focused on ranking performance and user behavior. Grounding systems also need to measure factual fidelity, source quality, freshness, evidence strength, and conflict detection. The industry is still learning how to rigorously measure grounding quality, Microsoft said.</p>



<p><strong>Grounding doesn&#8217;t replace search.</strong> Grounding builds on existing search infrastructure while adding systems focused on evidence quality, attribution, and deciding when an AI system should avoid answering, Microsoft said.</p>



<p><strong>Why we care. </strong>For decades, search indexes helped determine which pages users should visit. Today, AI grounding determines which information supports an AI-generated answer. Microsoft described grounding as a new layer on top of traditional search, built for AI systems that need higher confidence in the information they use. That shift could push brands and publishers to focus more on creating information AI systems can confidently use.</p>



<p><strong>The blog post.</strong> <a href="https://blogs.bing.com/search/May-2026/Evolving-role-of-the-index-From-ranking-pages-to-supporting-answers" target="_blank" rel="noopener">Evolving role of the index: From ranking pages to supporting answers</a>


The search index is evolving from ranking pages to supporting AI-generated answers. In a technical blog post “on the evolving technical characteristics of the index,” published today, Microsoft Bing explained why AI search needs a different indexing system than traditional web search.
Traditional search vs. grounding systems. Microsoft said traditional search can rely on users to self-correct, while AI systems need stronger evidence because they generate committed answers.
Traditional search is built around documents. Users get ranked links, scan the results, and decide what to trust.
Grounding systems are built around supportable facts with clear sourcing. The AI uses that information to generate a combined answer, where mistakes can compound across sources and reasoning steps.
They shared this table: 

			
				




What’s different. Traditional ranking is optimized for relevance. Grounding must also assess whether information is accurate, up to date, clearly sourced, and sufficient to support an answer. That means AI indexes need to account for whether:
A page’s meaning survives chunking and transformation.
The source is clearly identified.
The information is fresh enough to use.
Important facts are actually retrievable and groundable.
Grounding systems need to detect disagreements between sources before generating an answer.
Stale content. Stale content creates a different risk in AI answers, Microsoft said. In traditional search, it may hurt ranking quality. In grounding systems, it can directly generate a wrong answer.
Contradictions. A search engine can rank one source above another and let users decide. Grounding systems must recognize conflicting evidence before turning it into a single answer, according to Microsoft.
Retrieval is more complex. Search is usually a single interaction: query in, ranked results out. Microsoft said grounded AI systems may retrieve information repeatedly, refine based on earlier results, combine evidence, and reassess confidence before answering.
How indexing quality is measured. Search quality has traditionally focused on ranking performance and user behavior. Grounding systems also need to measure factual fidelity, source quality, freshness, evidence strength, and conflict detection. The industry is still learning how to rigorously measure grounding quality, Microsoft said.
Grounding doesn’t replace search. Grounding builds on existing search infrastructure while adding systems focused on evidence quality, attribution, and deciding when an AI system should avoid answering, Microsoft said.
Why we care. For decades, search indexes helped determine which pages users should visit. Today, AI grounding determines which information supports an AI-generated answer. Microsoft described grounding as a new layer on top of traditional search, built for AI systems that need higher confidence in the information they use. That shift could push brands and publishers to focus more on creating information AI systems can confidently use.
The blog post. Evolving role of the index: From ranking pages to supporting answers

AI search is pushing indexes beyond relevance, with Bing focusing on facts, attribution, and confidence before answers are generated.

Microsoft: AI answers need a smarter search index

<div><img width="800" height="457" src="https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-800x457.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-800x457.jpg 800w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-592x338.jpg 592w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-198x113.jpg 198w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-1536x878.jpg 1536w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Developers can now access unified paid and organic conversion data programmatically, though the feature is still in limited alpha.

<div><img width="800" height="457" src="https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-800x457.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-800x457.jpg 800w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-592x338.jpg 592w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-198x113.jpg 198w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920-1536x878.jpg 1536w, https://searchengineland.com/wp-content/seloads/2024/12/broken-google-analytics-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>Google is expanding its Analytics Data API to include cross-channel conversion reporting — giving developers programmatic access to paid and organic performance data.</p>



<p><strong>What’s happening</strong>. The new feature, currently in alpha, allows Google Analytics and Google Ads users to pull conversion data across channels via the API — mirroring what’s available in the Conversion performance report in the Analytics interface.</p>



<p>This means developers can now access the same insights without relying on manual reporting.</p>



<p><strong>Why we care. </strong>As measurement becomes more complex, advertisers need unified views of performance across paid and organic channels. This update enables teams to automate reporting, integrate data into their own systems and build more advanced analysis workflows.</p>



<p>It’s particularly valuable for businesses managing multiple platforms and looking to centralise performance data.</p>



<p><strong>The caveat</strong>. This feature may not be available to every Google Analytics property yet. Google says it is actively working to expand access, and advertisers should check with their support teams to confirm eligibility.</p>



<p><strong>What to watch:</strong>



<ul class="wp-block-list">
<li>When the feature moves beyond alpha and becomes widely available</li>



<li>How advertisers use API access to build custom attribution models</li>



<li>Whether more reporting capabilities are added to the Data API</li>
</ul>



<p><strong>Bottom line</strong>. By <a href="https://support.google.com/analytics/answer/9164320?hl=en#05042026">bringing cross-channel conversion data into the API</a>, Google is giving advertisers and developers more control over how they access, analyse and act on performance data.</p>


Google is expanding its Analytics Data API to include cross-channel conversion reporting — giving developers programmatic access to paid and organic performance data.
What’s happening. The new feature, currently in alpha, allows Google Analytics and Google Ads users to pull conversion data across channels via the API — mirroring what’s available in the Conversion performance report in the Analytics interface.
This means developers can now access the same insights without relying on manual reporting.
Why we care. As measurement becomes more complex, advertisers need unified views of performance across paid and organic channels. This update enables teams to automate reporting, integrate data into their own systems and build more advanced analysis workflows.
It’s particularly valuable for businesses managing multiple platforms and looking to centralise performance data.
The caveat. This feature may not be available to every Google Analytics property yet. Google says it is actively working to expand access, and advertisers should check with their support teams to confirm eligibility.
What to watch:




When the feature moves beyond alpha and becomes widely available
How advertisers use API access to build custom attribution models
Whether more reporting capabilities are added to the Data API
Bottom line. By bringing cross-channel conversion data into the API, Google is giving advertisers and developers more control over how they access, analyse and act on performance data.

Developers can now access unified paid and organic conversion data programmatically, though the feature is still in limited alpha.

Google Analytics Data API adds cross-channel conversion reporting (alpha)

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026.png" class="attachment-large size-large wp-post-image" alt="The real strategy behind negative keywords in 2026" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>From match types to automation, learn how to make smarter exclusion decisions that align with account goals.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026.png" class="attachment-large size-large wp-post-image" alt="The real strategy behind negative keywords in 2026" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/The-real-strategy-behind-negative-keywords-in-2026-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Negative keywords aren’t a checklist anymore. In 2026, they’re a series of strategic decisions — and how you make them shapes how the algorithm interprets your account.</p>



<p>If you’re still treating negatives like maintenance, you’re missing the point. Every exclusion is a signal: who you want to reach, what you’re willing to pay for, and how your campaigns should perform.</p>



<p>Here are six decisions that define modern negative keyword strategy — and why they matter more than ever.</p>



<h2 class="wp-block-heading" id="h-how-negative-keywords-shape-campaign-performance">How negative keywords shape campaign performance</h2>



<p>Negative keywords are how you sculpt a campaign so the right ad shows up for the right person. The user’s query should match the ad. The ad should match the landing page. That alignment is what creates a good experience for the person on the other side of the screen (a.k.a., your ideal client).</p>



<p>When that alignment breaks down, you waste budget. You also drag down click-through rate (CTR) and Quality Score, and push CPCs up. All of this is what ultimately makes the algorithm work against you in an ads account.</p>



<p>But many of us were never really taught how negatives fit into an overall account strategy. We were taught how to add them. There’s a big difference.</p>



<p>Now let’s get into the six strategic choices.</p>



<h2 class="wp-block-heading" id="h-1-how-aggressive-should-you-be-with-negatives">1. How aggressive should you be with negatives?</h2>



<p>This is the first decision an account manager needs to make, and most people skip it.</p>



<p>Are you scraping the bottom of the barrel every week, pulling out every search term that didn’t convert? Are you letting things slide so you can keep mining new keyword opportunities? Or are you somewhere in the middle, adding negatives mostly to show that you’re doing something?</p>



<p>There’s no universal right answer. But you do need to pick a level of aggression and back it up based on the account&#8217;s performance and goals.</p>



<p>A growth-focused account probably shouldn’t be aggressive. An efficiency-focused account probably should. A small-budget account that can’t afford to learn slowly often needs to be more aggressive than an enterprise account that can.</p>



<p>Pick the level. Defend the level when you’re working in the account and talking to your team. Then the rest of your choices become easier.</p>



<h2 class="wp-block-heading" id="h-2-how-to-use-match-types-for-negative-keywords">2. How to use match types for negative keywords</h2>



<p>Negatives don’t match the same way regular keywords do — broad, phrase, and exact — but most advertisers default to one match type without thinking about why.</p>



<p>Here’s how I think about it:</p>



<ul class="wp-block-list">
<li><strong>Negative exact match:</strong> Use this for strict removal. A specific long-tail variation that’s wasting budget, but you don’t want to nuke similar queries.</li>



<li><strong>Negative phrase match:</strong> Use this for groups of related queries you want gone. Competitor names, certain question phrases, and intent modifiers like “tutorial” or “review.”</li>



<li><strong>Negative broad match:</strong> Use this for words you want eliminated entirely — words like “cheap,” “dangerous,” or “free,” that signal a misaligned audience no matter how the rest of the query is constructed.</li>
</ul>



<p>This isn’t an either/or decision. A real negative keyword strategy uses all three match types intentionally, in different places, and for different reasons.</p>



<h2 class="wp-block-heading" id="h-3-when-should-you-add-negative-keywords">3. When should you add negative keywords?</h2>



<p>I’ve seen everything here. Some account managers add negatives on a strict weekly cadence, even when the data doesn&#8217;t call for it. Some only touch them when something stops converting. Some only review when a quarterly check-in forces them to. And some add them just to look busy on a status report.</p>



<p>My recommendation: don’t add a negative just because a keyword didn’t convert, especially when you’re trying to scale. You never know if it would’ve converted with a little more volume. Be careful, and tie the trigger back to your account’s goals.</p>



<ul class="wp-block-list">
<li>For accounts in growth mode, the trigger might be: “This query has cost more than 3x my target CPA with zero conversions over 90 days.”</li>



<li>For accounts focused on efficiency, the trigger might be: “This query cost more than $X without converting, period.”</li>
</ul>



<p>Both are valid. They just align to different goals in different accounts.</p>



<h2 class="wp-block-heading" id="h-4-what-time-frame-should-guide-your-decisions">4. What time frame should guide your decisions?</h2>



<p>How far back are you looking when you make the call to add something as a negative?</p>



<p>A 30-day window is aggressive. You’re cutting things off before they’ve had a real chance to convert. That’s appropriate for short-cycle ecommerce, fast-moving promotions, or tightly capped budgets. But this might not work for all accounts.</p>



<p>A 90-day window is balanced. Long enough for sales cycles to play out, short enough to actually act on. This is the default I recommend for most paid search accounts.</p>



<p>A 365-day window is conservative. You’re giving every query maximum runway. Appropriate for high-consideration B2B or anything with a long buying cycle.</p>



<p>Longer time frames give individual queries more chances to succeed. Shorter time frames protect your budget faster. Pick the time frame that matches the aggressiveness level you set in your top choice, and don’t make these decisions in isolation from each other.</p>



<h2 class="wp-block-heading" id="h-5-how-much-should-you-sculpt-your-campaigns">5. How much should you sculpt your campaigns?</h2>



<p>This is where the role of AI really starts to matter when it comes to negative keywords.</p>



<ul class="wp-block-list">
<li>How much control do you want over your account?</li>



<li>And maybe more importantly: how much do you trust the machine?</li>
</ul>



<p>Some advertisers embed competitor keywords as negatives in non-brand campaigns just to keep the targeting clean. Some account managers let those queries through because they’re converting, even if they technically “shouldn’t.” Some refuse to add negatives at the campaign level at all, because they trust the algorithm to figure out what should match where.</p>



<p>Consider that the machine and the algorithms have more information than we do. The platforms know what was searched before the query and more about user behavior. They know what was searched after. They know what session context the user is in. They can match queries to keywords in ways we can’t replicate manually.</p>



<p>But sculpting accounts is still how we communicate intent to that machine. If you don’t sculpt, the bidding algorithm doesn’t know what you actually want, and it just optimizes against the goals you handed it, which isn’t always the same thing as the outcomes you actually care about.</p>



<p>I lean toward more sculpting in 2026, not less. The algorithm has gotten better and will continue to improve, but so have the ways it can spend your budget on the wrong queries.</p>



<h2 class="wp-block-heading" id="h-6-how-should-you-manage-negatives-in-practice">6. How should you manage negatives in practice?</h2>



<p>This is the choice that didn’t exist five years ago.</p>



<p>In 2026, you have options that previous generations of account managers never had:</p>



<ul class="wp-block-list">
<li>A fully manual review with a spreadsheet and a search term report.</li>



<li>Google Ads’ built-in negative keyword suggestions.</li>



<li>A third-party tool that surfaces negatives semantically.</li>



<li>Pasting your search term report into a chat and letting AI flag candidates for you.</li>



<li>Delegating the entire task to a tool that adds negatives on autopilot, with no human in the loop.</li>
</ul>



<p>The question isn’t which one is best. The question is: how comfortable are you removing yourself from the loop? At what level do you want AI to handle this task?</p>



<p>For some accounts that are highly templated, low-stakes, and high-volume, maybe fully delegated AI negative keyword management is fine. For most accounts, I’d recommend a hybrid: AI surfaces candidates, and you approve them. The middle ground gives you speed without sacrificing oversight.</p>



<p>But the most important part is to make this decision intentionally, not by default, and to be able to defend the choice to key stakeholders. If you’re still doing all your negatives by hand in 2026, that should be a deliberate choice, not just “how I’ve always done it.”</p>



<h2 class="wp-block-heading" id="h-a-few-golden-rules-that-hold-up-in-any-era">A few golden rules that hold up in any era</h2>



<p>No matter which choices you make above, a handful of things still hold true:</p>



<ul class="wp-block-list">
<li><strong>Pull the search terms report regularly.</strong> The data won’t tell you what to decide, but it will tell you what to decide about. Make sure you look at the reports regularly, and remember no decision is still a decision.</li>



<li><strong>Keep your negatives updated as your campaigns evolve.</strong> The negatives that made sense for last quarter’s strategy may be the wrong ones now.</li>



<li><strong>Start with a few negatives and build from there.</strong> Being too negative too soon is genuinely harmful when an account is in a growth phase.</li>



<li><strong>Humans don’t search in straight lines.</strong> The query that looks irrelevant to your offer might be the final step before a conversion. Ad platforms try to teach us this in their documentation and training and reiterate that intent is messy, nonlinear, and often unpredictable. But as PPC practitioners, we still find ourselves resisting the idea that the system can make these judgment calls on our behalf.</li>
</ul>



<p><a href="https://searchengineland.com/author/paul-demott">Paul DeMott,</a> owner of Helium, sees this most clearly in high-spend accounts:</p>



<ul class="wp-block-list">
<li>“Most negative keyword lists are too exhaustive and haven’t been revisited in years… aggressive negative lists often hurt more than they help. You’re constraining the algorithm’s exploration on the exact accounts where it has the signal to make smart calls.”</li>
</ul>



<p>The risk today isn’t under-negating. It’s over-sculpting based on outdated assumptions.</p>



<p><a href="https://www.linkedin.com/in/brunelledigital/">Jordan Brunelle</a>, owner of Good Growth Marketing, points to a related issue: shutting down queries too quickly because they don’t match the product or service literally.</p>



<ul class="wp-block-list">
<li>“A lot of account managers are quick to negate keywords that don’t perfectly match their product/service… we must get into the head of the searcher and consider what their ultimate need is.”</li>
</ul>



<p>Intent isn’t always obvious at the query level. It often becomes clear only at the conversion level.</p>



<p><a href="https://www.linkedin.com/in/breannebartlett/">Breanne Bartlett</a>, a paid search consultant, frames it simply:</p>



<ul class="wp-block-list">
<li>“Most account managers still treat ‘vague’ queries as bad and overuse negatives to control them… the mistake isn’t allowing these queries, it’s blocking them before you’ve seen how they actually convert.”</li>
</ul>



<p>Top accounts aren’t restrictive. They’re responsive. They remove proven irrelevance, not theoretical inefficiency.</p>



<p>That tension between control and trust is showing up everywhere. As platforms introduce features like previewing the impact of negative keywords before applying them — something <a href="https://searchengineland.com/author/menachem-ani">Menachem Ani</a>, founder of a Google Premier Partner agency JXT, recently highlighted — the direction is clear: more data-driven decisions, less reactive cleanup.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="546" height="517" src="https://searchengineland.com/wp-content/seloads/2026/05/image-83.png" alt="" class="wp-image-476564"/></figure>
</div>


<p>At the same time, the core principle hasn’t changed. As <a href="https://www.linkedin.com/in/borisbeceric/">Boris Beceric</a>, a Google Ads consultant, reminded practitioners, efficiency starts with exclusion:</p>



<ul class="wp-block-list">
<li>“Most small budgets don’t fail because the offer is bad. They fail because the ads get shown for the wrong searches.”</li>
</ul>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="542" height="513" src="https://searchengineland.com/wp-content/seloads/2026/05/image-84.png" alt="" class="wp-image-476565"/></figure>
</div>


<p>Beceric’s post on LinkedIn reframes negatives as a proactive efficiency tool, not just a cleanup task, and underscores that deciding what not to target is just as strategic as deciding what to include.</p>



<p>Together, these perspectives capture the evolution of negative keyword strategy: from maintenance to signal-shaping, from exclusion to intent communication. The smartest account managers aren’t just adding negatives — they’re auditing, previewing, and sculpting them with purpose and a larger goal in mind.</p>



<h2 class="wp-block-heading" id="h-what-your-negative-keyword-decisions-are-really-doing">What your negative keyword decisions are really doing</h2>



<p>Negative keywords have always been part of paid search. What’s changed in 2026 is how much depends on how you guide — or defer to — the machine.</p>



<p>The real risk is making decisions about negative keywords on autopilot. Stale lists, over-sculpting, and unexamined habits quietly shape how the algorithm interprets your intent.</p>



<p>Every choice ties back to one question: <strong>what are the goals of this ad account?</strong>



<p>A growth-focused account makes different choices than an efficiency-focused one. A small-budget account behaves differently from an enterprise one. A B2B account isn’t the same as high-velocity ecommerce. Even the “right” level of control shifts as Smart Bidding gains more signal.</p>



<p>Negative keywords aren’t a checklist in 2026. They’re a series of decisions that compound over time — and the account managers who make them intentionally, with fresh data, and clear goals, are the ones who deliver better results and can explain why.</p>


Negative keywords aren’t a checklist anymore. In 2026, they’re a series of strategic decisions — and how you make them shapes how the algorithm interprets your account.
If you’re still treating negatives like maintenance, you’re missing the point. Every exclusion is a signal: who you want to reach, what you’re willing to pay for, and how your campaigns should perform.
Here are six decisions that define modern negative keyword strategy — and why they matter more than ever.
How negative keywords shape campaign performance
Negative keywords are how you sculpt a campaign so the right ad shows up for the right person. The user’s query should match the ad. The ad should match the landing page. That alignment is what creates a good experience for the person on the other side of the screen (a.k.a., your ideal client).
When that alignment breaks down, you waste budget. You also drag down click-through rate (CTR) and Quality Score, and push CPCs up. All of this is what ultimately makes the algorithm work against you in an ads account.
But many of us were never really taught how negatives fit into an overall account strategy. We were taught how to add them. There’s a big difference.
Now let’s get into the six strategic choices.
1. How aggressive should you be with negatives?
This is the first decision an account manager needs to make, and most people skip it.
Are you scraping the bottom of the barrel every week, pulling out every search term that didn’t convert? Are you letting things slide so you can keep mining new keyword opportunities? Or are you somewhere in the middle, adding negatives mostly to show that you’re doing something?
There’s no universal right answer. But you do need to pick a level of aggression and back it up based on the account’s performance and goals.
A growth-focused account probably shouldn’t be aggressive. An efficiency-focused account probably should. A small-budget account that can’t afford to learn slowly often needs to be more aggressive than an enterprise account that can.
Pick the level. Defend the level when you’re working in the account and talking to your team. Then the rest of your choices become easier.
2. How to use match types for negative keywords
Negatives don’t match the same way regular keywords do — broad, phrase, and exact — but most advertisers default to one match type without thinking about why.
Here’s how I think about it:
Negative exact match: Use this for strict removal. A specific long-tail variation that’s wasting budget, but you don’t want to nuke similar queries.
Negative phrase match: Use this for groups of related queries you want gone. Competitor names, certain question phrases, and intent modifiers like “tutorial” or “review.”
Negative broad match: Use this for words you want eliminated entirely — words like “cheap,” “dangerous,” or “free,” that signal a misaligned audience no matter how the rest of the query is constructed.
This isn’t an either/or decision. A real negative keyword strategy uses all three match types intentionally, in different places, and for different reasons.
3. When should you add negative keywords?
I’ve seen everything here. Some account managers add negatives on a strict weekly cadence, even when the data doesn’t call for it. Some only touch them when something stops converting. Some only review when a quarterly check-in forces them to. And some add them just to look busy on a status report.
My recommendation: don’t add a negative just because a keyword didn’t convert, especially when you’re trying to scale. You never know if it would’ve converted with a little more volume. Be careful, and tie the trigger back to your account’s goals.
For accounts in growth mode, the trigger might be: “This query has cost more than 3x my target CPA with zero conversions over 90 days.”
For accounts focused on efficiency, the trigger might be: “This query cost more than $X without converting, period.”
Both are valid. They just align to different goals in different accounts.
4. What time frame should guide your decisions?
How far back are you looking when you make the call to add something as a negative?
A 30-day window is aggressive. You’re cutting things off before they’ve had a real chance to convert. That’s appropriate for short-cycle ecommerce, fast-moving promotions, or tightly capped budgets. But this might not work for all accounts.
A 90-day window is balanced. Long enough for sales cycles to play out, short enough to actually act on. This is the default I recommend for most paid search accounts.
A 365-day window is conservative. You’re giving every query maximum runway. Appropriate for high-consideration B2B or anything with a long buying cycle.
Longer time frames give individual queries more chances to succeed. Shorter time frames protect your budget faster. Pick the time frame that matches the aggressiveness level you set in your top choice, and don’t make these decisions in isolation from each other.
5. How much should you sculpt your campaigns?
This is where the role of AI really starts to matter when it comes to negative keywords.
How much control do you want over your account?
And maybe more importantly: how much do you trust the machine?
Some advertisers embed competitor keywords as negatives in non-brand campaigns just to keep the targeting clean. Some account managers let those queries through because they’re converting, even if they technically “shouldn’t.” Some refuse to add negatives at the campaign level at all, because they trust the algorithm to figure out what should match where.
Consider that the machine and the algorithms have more information than we do. The platforms know what was searched before the query and more about user behavior. They know what was searched after. They know what session context the user is in. They can match queries to keywords in ways we can’t replicate manually.
But sculpting accounts is still how we communicate intent to that machine. If you don’t sculpt, the bidding algorithm doesn’t know what you actually want, and it just optimizes against the goals you handed it, which isn’t always the same thing as the outcomes you actually care about.
I lean toward more sculpting in 2026, not less. The algorithm has gotten better and will continue to improve, but so have the ways it can spend your budget on the wrong queries.
6. How should you manage negatives in practice?
This is the choice that didn’t exist five years ago.
In 2026, you have options that previous generations of account managers never had:
A fully manual review with a spreadsheet and a search term report.
Google Ads’ built-in negative keyword suggestions.
A third-party tool that surfaces negatives semantically.
Pasting your search term report into a chat and letting AI flag candidates for you.
Delegating the entire task to a tool that adds negatives on autopilot, with no human in the loop.
The question isn’t which one is best. The question is: how comfortable are you removing yourself from the loop? At what level do you want AI to handle this task?
For some accounts that are highly templated, low-stakes, and high-volume, maybe fully delegated AI negative keyword management is fine. For most accounts, I’d recommend a hybrid: AI surfaces candidates, and you approve them. The middle ground gives you speed without sacrificing oversight.
But the most important part is to make this decision intentionally, not by default, and to be able to defend the choice to key stakeholders. If you’re still doing all your negatives by hand in 2026, that should be a deliberate choice, not just “how I’ve always done it.”
A few golden rules that hold up in any era
No matter which choices you make above, a handful of things still hold true:
Pull the search terms report regularly. The data won’t tell you what to decide, but it will tell you what to decide about. Make sure you look at the reports regularly, and remember no decision is still a decision.
Keep your negatives updated as your campaigns evolve. The negatives that made sense for last quarter’s strategy may be the wrong ones now.
Start with a few negatives and build from there. Being too negative too soon is genuinely harmful when an account is in a growth phase.
Humans don’t search in straight lines. The query that looks irrelevant to your offer might be the final step before a conversion. Ad platforms try to teach us this in their documentation and training and reiterate that intent is messy, nonlinear, and often unpredictable. But as PPC practitioners, we still find ourselves resisting the idea that the system can make these judgment calls on our behalf.
Paul DeMott, owner of Helium, sees this most clearly in high-spend accounts:
“Most negative keyword lists are too exhaustive and haven’t been revisited in years… aggressive negative lists often hurt more than they help. You’re constraining the algorithm’s exploration on the exact accounts where it has the signal to make smart calls.”
The risk today isn’t under-negating. It’s over-sculpting based on outdated assumptions.
Jordan Brunelle, owner of Good Growth Marketing, points to a related issue: shutting down queries too quickly because they don’t match the product or service literally.
“A lot of account managers are quick to negate keywords that don’t perfectly match their product/service… we must get into the head of the searcher and consider what their ultimate need is.”
Intent isn’t always obvious at the query level. It often becomes clear only at the conversion level.
Breanne Bartlett, a paid search consultant, frames it simply:
“Most account managers still treat ‘vague’ queries as bad and overuse negatives to control them… the mistake isn’t allowing these queries, it’s blocking them before you’ve seen how they actually convert.”
Top accounts aren’t restrictive. They’re responsive. They remove proven irrelevance, not theoretical inefficiency.
That tension between control and trust is showing up everywhere. As platforms introduce features like previewing the impact of negative keywords before applying them — something Menachem Ani, founder of a Google Premier Partner agency JXT, recently highlighted — the direction is clear: more data-driven decisions, less reactive cleanup.




At the same time, the core principle hasn’t changed. As Boris Beceric, a Google Ads consultant, reminded practitioners, efficiency starts with exclusion:
“Most small budgets don’t fail because the offer is bad. They fail because the ads get shown for the wrong searches.”




Beceric’s post on LinkedIn reframes negatives as a proactive efficiency tool, not just a cleanup task, and underscores that deciding what not to target is just as strategic as deciding what to include.
Together, these perspectives capture the evolution of negative keyword strategy: from maintenance to signal-shaping, from exclusion to intent communication. The smartest account managers aren’t just adding negatives — they’re auditing, previewing, and sculpting them with purpose and a larger goal in mind.
What your negative keyword decisions are really doing
Negative keywords have always been part of paid search. What’s changed in 2026 is how much depends on how you guide — or defer to — the machine.
The real risk is making decisions about negative keywords on autopilot. Stale lists, over-sculpting, and unexamined habits quietly shape how the algorithm interprets your intent.
Every choice ties back to one question: what are the goals of this ad account?



A growth-focused account makes different choices than an efficiency-focused one. A small-budget account behaves differently from an enterprise one. A B2B account isn’t the same as high-velocity ecommerce. Even the “right” level of control shifts as Smart Bidding gains more signal.
Negative keywords aren’t a checklist in 2026. They’re a series of decisions that compound over time — and the account managers who make them intentionally, with fresh data, and clear goals, are the ones who deliver better results and can explain why.

From match types to automation, learn how to make smarter exclusion decisions that align with account goals.

The real strategy behind negative keywords in 2026

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets.png" class="attachment-large size-large wp-post-image" alt="Google Ads contact assets" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Are you making it too hard for customers to reach you? Learn three essential ways to get more leads directly from your search ads.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets.png" class="attachment-large size-large wp-post-image" alt="Google Ads contact assets" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/google-ads-contact-assets-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<figure class="wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-9-16 wp-has-aspect-ratio"><div class="wp-block-embed__wrapper">
<p><a href="https://www.youtube.com/embed/9GuYwme6pg0?feature=oembed" rel="noopener noreferrer">Watch this video on YouTube</a>
</div></figure>







<p>Generating high-quality leads from Google Ads often comes down to one unexpected factor: speed. If potential customers have to jump through hoops to reach you, you’ll lose business fast. </p>



<p>That’s why Google Ads offers a trio of what I call “Contact Us assets.” Instead of sending users to a landing page, Call Assets, Lead Forms, and Message Assets let customers call you, fill out a form, or start a conversation directly from your search ads.</p>



<p>Let’s dive into how to set up and optimize these three essential assets to simplify your funnel, capture valuable personally identifiable information (PII), and turn an expensive click into a lasting customer relationship.</p>



<h2 class="wp-block-heading" id="h-call-assets-the-must-have-for-phone-leads">Call Assets: The must-have for phone leads</h2>



<p>If the action you want someone to take after clicking your ad is calling you, you need to use Call Assets. They display your phone number alongside your ads, allowing users to call you directly from the ad with a single click.</p>



<p>If you’ve been relying on Call Ads to drive phone calls from Google Search, those are being deprecated. You’ll need to use Call Assets alongside Responsive Search Ads instead.</p>



<h3 class="wp-block-heading" id="h-3-essential-tips-for-call-assets">3 essential tips for Call Assets</h3>



<ol class="wp-block-list">
<li>If you want Google’s bidding algorithms to prioritize phone calls, you need to set “Calls from ads” as a Primary conversion action.</li>



<li>There’s nothing worse for a customer than calling a business and getting voicemail — or worse, no answer at all. Use asset scheduling to show your phone number only when someone is available to answer. If your business closes at 5 p.m., consider stopping your call asset at 4:55 p.m.</li>



<li>Getting a phone call is important, but it’s just as important for Google to know that call happened so it can optimize for more of them. When you enable call tracking, Google uses a forwarding number. That means the number shown in the ad may not be your actual business number, but it lets Google (and you) track call duration and see which keywords triggered the calls.</li>
</ol>



<h2 class="wp-block-heading" id="h-lead-form-assets-capturing-data-in-the-ad">Lead form assets: Capturing data in the ad</h2>



<p>Lead Form Assets let users submit their email address or phone number directly within the ad. If you’ve run lead generation ads on Meta or TikTok, the experience will feel familiar.</p>



<p>The main difference is that on social media, the lead form is the ad. In Google Search, it’s an optional asset attached to your Responsive Search Ad alongside your primary headlines. </p>



<p>Because of that, you probably won’t see the same volume from Lead Form Assets as you would from a dedicated landing page. But if generating form fills is your primary goal, Lead Form Assets are absolutely worth enabling.</p>



<h3 class="wp-block-heading" id="h-essential-tips-for-lead-form-assets">Essential tips for lead form assets</h3>



<ol class="wp-block-list">
<li>Because Lead Form Assets are so easy to complete directly from the SERP, they’re often more vulnerable to low-quality submissions. To improve lead quality, add a screening question. A simple question about budget or specific needs forces users to pause and qualify themselves before submitting.</li>



<li>Don’t let these leads sit idle in the Google Ads interface. You need a system that pushes them directly into your CRM through a third-party integration. The longer it takes to respond, the colder the lead becomes.</li>



<li>Make sure to set “Lead form submission” as a Primary conversion action if you want Smart Bidding to prioritize lead generation. You can run it alongside your standard website lead form conversion action, which should also remain set to Primary.</li>
</ol>



<h2 class="wp-block-heading" id="h-message-assets-the-beta-that-means-business">Message assets: The beta that means business?</h2>



<p>Message Assets are the newest addition to Google’s “Contact Us” assets, and they’re currently in beta. <a href="https://searchengineland.com/whatsapp-google-ads-message-assets-450630">I wrote about them last year</a>.</p>



<p>These assets let potential customers start a conversation with you through WhatsApp, Facebook Messenger, or Zalo directly from your search ads. They don’t support SMS text messaging — only third-party messaging apps.</p>



<h3 class="wp-block-heading" id="h-essential-tips-for-message-assets">Essential tips for Message assets</h3>



<ol class="wp-block-list">
<li>You can’t use Message Assets until you complete Google’s full advertiser verification process. It’s part of Google’s effort to keep the advertising ecosystem safe.</li>



<li>Message Assets only appear on mobile devices, which makes sense—most people aren’t trying to start a WhatsApp chat from a desktop browser.</li>



<li>Message Assets are compatible with Search and Performance Max campaigns.</li>
</ol>



<h2 class="wp-block-heading" id="h-what-sets-contact-us-assets-apart">What sets &#8216;Contact Us&#8217; assets apart</h2>



<p>The biggest reason to use these three “Contact Us” assets is to capture personally identifiable information (PII) from potential customers. When someone calls you, fills out a form, or sends a message, they’re giving you a direct way to follow up.</p>



<p>This data is incredibly valuable. Once you have an email address or phone number, you can follow up through email marketing or direct outreach without paying for another ad click. It turns a one-time ad interaction into a potential long-term customer relationship.</p>



<h2 class="wp-block-heading" id="h-how-to-get-the-best-results-from-call-lead-form-and-message-assets">How to get the best results from Call, lead form, and Message Assets</h2>



<p>Whichever asset you use, implement third-party lead tracking software to capture, filter, track, and respond to your leads. Once calls, forms, and messages start coming in, you need a system for responding quickly. </p>



<p>You also need a way to tell Google which leads were high quality and which were spam or a poor fit. Lead tracking software lets you send that data back into Google Ads so the platform can learn what a qualified customer looks like for your business—and stop wasting budget on junk leads.</p>



<p>If direct contact is central to how you win business, these contact assets aren’t just nice to have. They’re essential for effective lead generation.</p>



<p><em>This article is part of our ongoing Search Engine Land series, Everything you need to know about Google Ads in less than 3 minutes. In each edition, Jyll highlights a different Google Ads feature, and what you need to know to get the best results from it – all in a quick 3-minute read.</em>


Watch this video on YouTube








Generating high-quality leads from Google Ads often comes down to one unexpected factor: speed. If potential customers have to jump through hoops to reach you, you’ll lose business fast. 
That’s why Google Ads offers a trio of what I call “Contact Us assets.” Instead of sending users to a landing page, Call Assets, Lead Forms, and Message Assets let customers call you, fill out a form, or start a conversation directly from your search ads.
Let’s dive into how to set up and optimize these three essential assets to simplify your funnel, capture valuable personally identifiable information (PII), and turn an expensive click into a lasting customer relationship.
Call Assets: The must-have for phone leads
If the action you want someone to take after clicking your ad is calling you, you need to use Call Assets. They display your phone number alongside your ads, allowing users to call you directly from the ad with a single click.
If you’ve been relying on Call Ads to drive phone calls from Google Search, those are being deprecated. You’ll need to use Call Assets alongside Responsive Search Ads instead.
3 essential tips for Call Assets
If you want Google’s bidding algorithms to prioritize phone calls, you need to set “Calls from ads” as a Primary conversion action.
There’s nothing worse for a customer than calling a business and getting voicemail — or worse, no answer at all. Use asset scheduling to show your phone number only when someone is available to answer. If your business closes at 5 p.m., consider stopping your call asset at 4:55 p.m.
Getting a phone call is important, but it’s just as important for Google to know that call happened so it can optimize for more of them. When you enable call tracking, Google uses a forwarding number. That means the number shown in the ad may not be your actual business number, but it lets Google (and you) track call duration and see which keywords triggered the calls.
Lead form assets: Capturing data in the ad
Lead Form Assets let users submit their email address or phone number directly within the ad. If you’ve run lead generation ads on Meta or TikTok, the experience will feel familiar.
The main difference is that on social media, the lead form is the ad. In Google Search, it’s an optional asset attached to your Responsive Search Ad alongside your primary headlines. 
Because of that, you probably won’t see the same volume from Lead Form Assets as you would from a dedicated landing page. But if generating form fills is your primary goal, Lead Form Assets are absolutely worth enabling.
Essential tips for lead form assets
Because Lead Form Assets are so easy to complete directly from the SERP, they’re often more vulnerable to low-quality submissions. To improve lead quality, add a screening question. A simple question about budget or specific needs forces users to pause and qualify themselves before submitting.
Don’t let these leads sit idle in the Google Ads interface. You need a system that pushes them directly into your CRM through a third-party integration. The longer it takes to respond, the colder the lead becomes.
Make sure to set “Lead form submission” as a Primary conversion action if you want Smart Bidding to prioritize lead generation. You can run it alongside your standard website lead form conversion action, which should also remain set to Primary.
Message assets: The beta that means business?
Message Assets are the newest addition to Google’s “Contact Us” assets, and they’re currently in beta. I wrote about them last year.
These assets let potential customers start a conversation with you through WhatsApp, Facebook Messenger, or Zalo directly from your search ads. They don’t support SMS text messaging — only third-party messaging apps.
Essential tips for Message assets
You can’t use Message Assets until you complete Google’s full advertiser verification process. It’s part of Google’s effort to keep the advertising ecosystem safe.
Message Assets only appear on mobile devices, which makes sense—most people aren’t trying to start a WhatsApp chat from a desktop browser.
Message Assets are compatible with Search and Performance Max campaigns.
What sets ‘Contact Us’ assets apart
The biggest reason to use these three “Contact Us” assets is to capture personally identifiable information (PII) from potential customers. When someone calls you, fills out a form, or sends a message, they’re giving you a direct way to follow up.
This data is incredibly valuable. Once you have an email address or phone number, you can follow up through email marketing or direct outreach without paying for another ad click. It turns a one-time ad interaction into a potential long-term customer relationship.
How to get the best results from Call, lead form, and Message Assets
Whichever asset you use, implement third-party lead tracking software to capture, filter, track, and respond to your leads. Once calls, forms, and messages start coming in, you need a system for responding quickly. 
You also need a way to tell Google which leads were high quality and which were spam or a poor fit. Lead tracking software lets you send that data back into Google Ads so the platform can learn what a qualified customer looks like for your business—and stop wasting budget on junk leads.
If direct contact is central to how you win business, these contact assets aren’t just nice to have. They’re essential for effective lead generation.
This article is part of our ongoing Search Engine Land series, Everything you need to know about Google Ads in less than 3 minutes. In each edition, Jyll highlights a different Google Ads feature, and what you need to know to get the best results from it – all in a quick 3-minute read.

Are you making it too hard for customers to reach you? Learn three essential ways to get more leads directly from your search ads.

How to use Call assets, lead forms, and Message assets in Google Ads

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/Your-managed-WordPress-might-be-blocking-AI-bots-and-you-cant-see-it.png" class="attachment-large size-large wp-post-image" alt="Your managed WordPress might be blocking AI bots and you can&#039;t see it" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Your-managed-WordPress-might-be-blocking-AI-bots-and-you-cant-see-it.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/Your-managed-WordPress-might-be-blocking-AI-bots-and-you-cant-see-it-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/Your-managed-WordPress-might-be-blocking-AI-bots-and-you-cant-see-it-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/Your-managed-WordPress-might-be-blocking-AI-bots-and-you-cant-see-it-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Your SEO tools show nothing wrong. But platform-level limits may be quietly blocking AI systems from accessing and citing your content.

Everything looked normal in the SEO data. Google Search Console, traffic, and indexing — no red flags. Then I opened Scrunch, our AI citation monitoring tool, and looked at platform-by-platform presence for searchinfluence.com over the prior 30 days:
Google AI Mode: 37.8%
Copilot: 22.2%
Google Gemini: 16.3%
ChatGPT: 9.6%
Perplexity: 7.8%
Claude: 0.0%
Meta AI: 0.0%
Two platforms at zero. Every crawler reads the same site, so content quality and topical authority can’t account for that gap. They’re identical for every platform on the list. 
What varies is access — whether each platform’s crawler is allowed in. Nothing else explains how Google AI Mode hits 37.8% while Claude lands at 0%. So I opened the logs.
What 7 days of Cloudflare logs showed
Seven days of Cloudflare data (April 4-10) for searchinfluence.com revealed 29,099 bot requests, 65.8% of them AI bots. Here’s a per-bot share of those requests rate-limited (HTTP 429, “too many requests”), broken out by bot user-agent (UA, the identifier each request sends):





Amazonbot: 51% rate-limited
ClaudeBot: 29%
GPTBot: 29%
Bytespider: 61% blocked (different mechanism: 403/5xx, not 429)
ChatGPT-User: 0%
PerplexityBot: 0%
The split isn’t random. Training crawlers, the ones that pull whole sites in big bursts, get throttled. User-facing crawlers, the ones that fire human-paced requests during a live user query, don’t.
For context: Cloudflare’s Q1 2026 crawl-to-referral analysis shows ClaudeBot makes 20,583 crawl requests for every referral it sends back. 
GPTBot: 1,255 to 1. 
Perplexity: 111 to 1. 
Google: 5 to 1. 
AI training crawlers take far more than they give back, so it makes sense that hosting infrastructure has started fighting back. Whether that’s the right fight for your site is a separate question.
The 429s in our logs were being passed through Cloudflare with a cache status of dynamic or bypass. So I wrote them off as downstream of Cloudflare, must be a web application firewall (WAF) or security plugin. That assumption sent me down a multi-hour rabbit hole through the wrong layers.

  
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Where we looked first, and why we were wrong




Suspect 1: Solid Security’s HackRepair default ban list
A WordPress security plugin we use for hardening, with a built-in bot UA blocklist. Toggled it off, ran a 24-hour before/after on per-bot 429 counts. No change. 
Two bots even spiked higher in the post-toggle window. Coincidental crawl bursts, not a regression. Ruled out.
Suspect 2: Solid Security’s other firewall subsystems
24,538 firewall log entries over 30 days. Every single one was a /wp-login.php brute-force lockout. Zero entries for ClaudeBot, GPTBot, or Amazonbot. Rules empty. IP Management clean. Ruled out.
Suspect 3: Sucuri Cloud WAF
SI has a Sucuri subscription. Logged into the portal and saw warnings across every service column (Monitoring, Firewall/CDN, SSL, Backups). A dig and curl confirmed why: DNS resolved to Cloudflare ranges, and response headers showed no x-sucuri-id. Sucuri was never in the request path. The subscription existed; the activation never happened. Ruled out.
Suspect 4: Cloudflare itself
Originally written off because cache-status was dynamic/bypass. That inference was sloppy: Cloudflare can return 429 from rate-limit rules with the same cache-status. Going back to the right view (Security → Analytics → Events tab, filtered by ClaudeBot UA, last 24 hours): zero events. Cloudflare took no security action on ClaudeBot in 24 hours while passing through 608 ClaudeBot 429s. Ruled out.
At that point, we were out of suspects on layers we could see.
The reproduction test that changed everything
We ran 60 fast curl requests with a ClaudeBot UA against three different paths. 60 x 429 every time. Control runs: same paths, browser UA → 60 x 200 (HTTP “OK”). Same paths, Googlebot UA → 60 x 200. The block was unambiguously UA-based — not path-based, not rate-based.
The headers gave it away. A single curl -I showed x-powered-by: WP Engine. We were on a managed host, and the block was firing from a layer that hadn’t been on the suspect list: the host’s own platform infrastructure, sitting between Cloudflare and WordPress. The hosting platform itself.
The bot-by-bot fingerprint
Once we knew which question to ask, we ran the rest of the AI bot UA list through the same curl harness.






Bot UAResultStatus

ClaudeBot60/60 x 429Blocked
GPTBot8/10 x 429, 2/10 cached (200)Blocked
Amazonbot10/10 x 429Blocked
Bytespider10/10 x 520Blocked (520 is a Cloudflare-specific error: origin returned an invalid response, possibly IP-blackholed)
anthropic-ai (older Anthropic UA)10/10 x 200Not blocked
CCBot (Common Crawl)10/10 x 200Not blocked





Two findings:
The blocklist is dated: It targets the AI training crawler set as of mid-2024. The older anthropic-ai UA is allowed. CCBot, the Common Crawl bot that feeds many LLM training pipelines, is allowed. If the intent is “no LLM training data,” this gap defeats it. Scrapers can use CCBot’s UA, or Common Crawl can pull the site directly, and the data ends up in training sets anyway. The named-bot list is a fence with a gate left open.
Cached responses serve through the block: WP Engine’s edge cache returns cached pages to ClaudeBot just fine (x-cache: HIT in the headers). Cache-miss requests hit the origin handler and get 429. This explains the Cloudflare data exactly: in 24 hours, 1,054 ClaudeBot requests returned 200 (cache hits) and 608 returned 429 (cache misses). Same UA, same site, two outcomes.
It’s worth flagging that ~100% of our 24-hour “ClaudeBot” traffic came from a single Microsoft/Azure IP (AS8075, Microsoft’s network), not Anthropic’s published AWS ranges. Almost certainly, it’s a spoofed UA: a scraper on Azure pretending to be ClaudeBot. A meaningful slice of “AI crawler 429s” in WAF reports may be appropriate for blocking imposter traffic, not legitimate Anthropic crawl.
Why this is hard to find
Start with what WP Engine itself says about its firewall. From their support page on the security environment: 
“Further information cannot be provided around our firewall, as this can compromise its secure integrity.” 
That’s the company’s own statement, verbatim. Whatever the rules are, customers don’t get to see them.
Their 2025 Year in Review reports 75 billion bot requests mitigated via Cloudflare-powered bot management. No documented user portal control opts you out per-site or per-bot. I checked every customer-facing setting that could plausibly fire AI bot 429s:
Utilities → Redirect bots: Off (default).
Web rules: Empty.
Robots.txt setting: Not customized. Live /robots.txt only disallows a few specific PDFs.
All clean. The block is somewhere customers can’t reach.
A few more reasons it’s invisible:
It returns 429, not 403: Returning “forbidden” can get a site flagged by search engines as a site-wide failure, so 429 is the safer choice. But 429 reads as “rate limit” in every WAF analytics tool, which sends investigators chasing rate-limit configurations at the wrong layer.
It fires below the WAF plugins: Wordfence, Sucuri, and Solid Security all log at the WordPress application layer. WP Engine’s block fires at the platform edge, before the request reaches WordPress. Plugin logs show nothing.
It fires below customer Cloudflare, too: WP Engine runs its own Cloudflare-backed bot management at the hosting edge. That’s a separate Cloudflare layer behind your own Cloudflare zone. Events fired there don’t appear in your Cloudflare dashboard.
WP Engine’s billing already accounts for the block: They exclude “suspected bots” from billable metrics. From a hosting-cost perspective, the customer benefits. From a GEO/AEO perspective, the customer pays in citation absence, without ever knowing they signed up.
What WP Engine confirmed when I asked
After several rounds of canned auto-replies, I reached a live agent. The relevant exchanges:
On the policy itself: 
“WP Engine does enforce platform‑wide rate limiting on certain high‑impact bots to protect overall server performance, and that part can’t be selectively disabled per bot.”
On whether the customer-facing Web Rules Engine could route around it: 
“Allowing AI bot IPs via Web Rules Engine does not override WP Engine’s platform-wide rate limiting rules, which operate at the infrastructure level.”
On whether the SEO downside was acknowledged anywhere internally: 
“The documentation acknowledges that blocking or rate limiting bots like Amazonbot and similar user agents can impact their crawling and indexing… It emphasizes balancing bot management with SEO considerations and suggests customers be empathetic as many did not configure these bots themselves.”
Read that last bit twice. The internal framing assumes the customer is being protected from bots they didn’t ask for. For agencies, content sites, B2B SaaS, and anyone whose growth depends on AI search citations, the assumption inverts. Those bots are the audience the customer is trying to reach.
There’s an escalation path: 
“If you have an exceptional use case or need a bot to behave differently than the platform defaults allow, we can escalate it to ProdEng (product engineering) for review.” 
So the policy isn’t immutable. It’s just not a self-service setting.
WP Engine appears to be the outlier here
We assumed every managed host did this. Public record on the other three top-managed WordPress hosts contradicts that:
Kinsta’s CTO said in March 2026 that they will not block at the platform level and will not bill for bot bandwidth. Their Bot Protection feature is opt-in, with four customer-controllable levels.
Pressable explicitly states in its knowledge base: “Pressable does not currently disallow these bots by default.” Customer manages it via robots.txt.
Pantheon explicitly states: “We do not block identified bot traffic from entering the platform.” They detect and exclude bots from billing only.
Outside managed WP, the closest analog is SiteGround, which blocks training crawlers by default but is more transparent about the policy and distinguishes training bots from user-action bots.
One wrinkle: Flywheel, a managed WP host owned by WP Engine since 2019, has no documented AI bot block. Same parent company, two products, two different stated policies. Not a corporate-wide stance. A product-level decision specific to WP Engine.
Caveat on the comparison: we confirmed WP Engine’s block empirically with curl. We didn’t run the same diagnostic against Kinsta, Pressable, or Pantheon. What we have for them is their public documentation, which is reliable but not the same as a live test. 
The precise claim: based on what each host publicly discloses, WP Engine appears to be the only top-tier managed WP host with a default-on, non-disableable platform-level AI bot block.
The question shifts. It’s not “Are other hosts doing this?” It’s “Why is WP Engine, and apparently only WP Engine, doing it this way?”
How to check whether it’s happening to you
The standard audit advice for your WAF logs doesn’t catch this. Below are three steps that don’t require root access.
Step 1: Reproduce with curl (a command-line tool that fetches URLs)
for i in $(seq 1 30); do
  curl -sI -A "ClaudeBot/1.0 (+https://www.anthropic.com/claudebot)" \
    "https://yourdomain.com/" \
    -o /dev/null -w "%{http_code}\n"
  sleep 0.05
done | sort | uniq -c
Then run the same loop with a Mozilla/5.0 … browser UA. If the browser run returns 200s and the ClaudeBot run returns 429s, the block is UA-based and someone in your stack is doing it. If both return the same code, you don’t have this problem.
Step 2: Identify your host
Run curl -I https://yourdomain.com/ and look at the response headers for x-powered-by or server. They often name the host (WP Engine, Pressable, Kinsta, etc.). If your host is unmanaged or self-hosted, this article likely doesn’t apply. Investigate your WAF instead.
Step 3: Check what the host actually controls 
For WP Engine specifically, confirm Utilities > Redirect Bots is off and that Web Rules has no AI UA blocks, then open a support ticket. Here’s recommended wording: 
“We’ve reproduced via curl that requests with ClaudeBot/GPTBot/Amazonbot user-agent strings receive HTTP 429 responses for cache-miss requests on our environment. Cloudflare and our security plugins are not the source. Is this WP Engine’s platform-level AI crawler mitigation? Can it be disabled or scoped per-bot for our environment?”
For other hosts, the equivalent path is their portal’s security section first, then a support ticket with the same evidence.
What to do once you know
Four real options, in order of effort.
Escalate to your host’s product engineering
WP Engine’s support agent named an “exceptional use case” escalation path. The policy isn’t immutable; it’s just not a self-service toggle. SEO and AI search visibility is exactly the kind of case that the escalation path is built for.
Allowlist via the customer-controllable Web Rules Engine
WREn lets you allowlist UAs at the site level, but the support agent confirmed it doesn’t override the platform rules. It’s useful for the bots not on the platform list (CCBot, anthropic-ai), but not a fix for the ones that are.
Move to a host that doesn’t impose this
A nuclear option, but worth costing out if AI search visibility is a strategic priority and ProdEng escalation goes nowhere. Kinsta’s and Pressable’s documented stances both leave AI crawler access to the customer.
And to be clear: AI search visibility absolutely should be a strategic priority right now. ChatGPT alone handles billions of queries a week, and the answers cite a small set of sources. If your category is being decided in those answers and your site can’t be crawled, you don’t get cited. 
There is no “I’ll just rank later” backup plan, because the citation set hardens fast. Treating AI access as optional in 2026 is the same call as treating organic search as optional in 2008. It worked for a while. Then it didn’t.
Accept the block as a deliberate policy
Some companies will conclude that staying out of AI training data is the right call. The honest version: tell the team that’s what’s happening, factor it into AI-search expectations, stop running GEO/AEO audits that score you on missing citations you weren’t going to get anyway.
The wrong move is to keep running the WAF audit playbook and concluding that nothing’s wrong. The block fires invisibly, and the citation’s absence shows up months later in dashboards that no one connects back to it.
The citation correlation





Googlebot ~100% access → Google AI Mode 37.8% citation presence
GPTBot 54% access → ChatGPT 9.6%
PerplexityBot 100% access → Perplexity 7.8%
ClaudeBot 57% access → Claude 0.0%
The platform-by-platform split in citations matches the platform-by-platform split in crawl access. Where the bot can read the site, the AI cites it at meaningful rates. Where the bot is blocked, citation presence collapses.
Suggestive, not proof: 7-day correlation on a single site, no controlled before/after. Part 2 publishes the post-fix numbers if we get the block lifted (or move hosts). The intuition: crawl access is the floor; content quality, topical authority, and freshness are the ceiling. If the bot can’t read you, the ceiling doesn’t matter.
Perplexity is the wrinkle: 100% access, 7.8% citation. Full access alone doesn’t guarantee citation. But the absence of access (Claude at 0%) is decisive.
Caveats
Single-site case study: The diagnostic generalizes; the specific numbers don’t.
AI citation is multi-factor: Content quality, topical authority, entity coverage, freshness, schema, brand recognition: all of those matter. Crawl access is the floor, not the whole game.
Bot UAs can be spoofed: Roughly 100% of our “ClaudeBot” traffic was from a non-Anthropic IP. The host-level block is doing the right thing for those impostors.
AI bots don’t fully respect crawl-delay: InMotion’s coverage is a good reference: GPTBot and ClaudeBot only partially honor crawl-delay in robots.txt, so the 429 is one of the few signals they actually act on. That’s a feature, until they improve crawl-delay compliance.
WP Engine’s defaults aren’t malicious: They’re protecting customers who didn’t ask for AI bot traffic. The opacity is the issue, not the intent. Customers who do want the traffic should have a way to say so without escalating to product engineering.

  
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What you should do next
If you’re on WP Engine, run the diagnostic above. If the curl reproduction shows the same pattern, you’ve got the same issue. Open a ticket and see where that goes, or switch providers.
If you’re on a different managed host, run it anyway. The diagnostic takes three minutes.
If you’re spending months on content updates, schema markup, and llms.txt files while a default-on platform setting is silently blocking the crawlers you’re trying to reach, you’re optimizing the ceiling of a building with no floor.
Full disclosure on method: An AI assistant (Claude) ran the curl tests, parsed headers, and walked the architecture with me. Where this piece says “we” tested or reproduced something, that’s me plus the AI. Where it says “I,” it was me directly: portal logins, the WP Engine support chat.

Your SEO tools show nothing wrong. But platform-level limits may be quietly blocking AI systems from accessing and citing your content.

Your managed WordPress might be blocking AI bots and you can’t see it

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google says these updates make it "easy for you to connect with authentic voices and explore useful information across the web."

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/05/google-robot-reading-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google announced five changes to how the search engine will show links and citations within its AI Search features &#8211; AI Mode and AI Overviews.  These changes aim to make it &#8220;easy for you to connect with authentic voices and explore useful information across the web,&#8221; Google&#8217;s Hema Budaraju, VP, Product Management, <a href="https://blog.google/products-and-platforms/products/search/explore-web-generative-ai-search">wrote</a>.</p>



<p>Here are the five changes that are rolling out in AI Mode and AI Overviews:</p>



<p>(1) <strong>Suggested angles at the end of the AI responses</strong>. Google may show suggestions for where to go next at the end of many AI responses within AI Mode or AI Overviews. This &#8220;section links to unique articles or in-depth analyses on different facets of your topic, making it easy to satisfy your curiosity,&#8221; Google explained.</p>



<p>Here is what it looks like:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="2048" height="1600" src="https://searchengineland.com/wp-content/seloads/2026/05/Further-exploration-1-scaled.png" alt="" class="wp-image-476578" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Further-exploration-1-scaled.png 2048w, https://searchengineland.com/wp-content/seloads/2026/05/Further-exploration-1-768x600.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/Further-exploration-1-1536x1200.png 1536w" sizes="(max-width: 2048px) 100vw, 2048px" /></figure>



<p>(2) <strong>Easier access to your news subscriptions</strong>. Google will highlight links from your news subscriptions in AI Mode and AI Overviews. Google said this makes it easier for &#8220;you can quickly access the content you trust and get more value from your subscriptions.&#8221; Google added in its early testing that searchers were &#8220;significantly more likely to click links that were labeled as their subscriptions.&#8221;</p>



<p>Publishers can enable subscription linking <a href="https://developers.google.com/news/subscribe/subscription-linking">using this documentation</a>.</p>



<p>Here is what it looks like:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="2048" height="1115" src="https://searchengineland.com/wp-content/seloads/2026/05/Subscription-highlights-scaled.png" alt="" class="wp-image-476579" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Subscription-highlights-scaled.png 2048w, https://searchengineland.com/wp-content/seloads/2026/05/Subscription-highlights-768x418.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/Subscription-highlights-1536x836.png 1536w" sizes="(max-width: 2048px) 100vw, 2048px" /></figure>



<p>(3) <strong>Social media and online discussions include creator&#8217;s name, handle and community name. </strong>When Google&#8217;s AI features cite social media or online discussions, Google will not just include the name of the website, but also the creator&#8217;s name and handle &#8211; along with the community name. </p>



<p>This is to make it easier to understand these responses are from firsthand sources. We saw Google <a href="https://www.seroundtable.com/google-ai-overviews-with-author-names-source-41261.html">testing this earlier</a>.</p>



<p>Here is what it looks like:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1400" height="858" src="https://searchengineland.com/wp-content/seloads/2026/05/Community-advice.png" alt="" class="wp-image-476580" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Community-advice.png 1400w, https://searchengineland.com/wp-content/seloads/2026/05/Community-advice-768x471.png 768w" sizes="(max-width: 1400px) 100vw, 1400px" /></figure>



<p>(4) <strong>More links, next to relevant text. </strong>Google also said it will show more links directly within the AI responses, right next to the relevant text it was citing. This should encourage searchers to dig deeper into those websites because those citations and links are right next to the related text.</p>



<p>Here is what it looks like:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1400" height="1458" src="https://searchengineland.com/wp-content/seloads/2026/05/Granular-links.png" alt="" class="wp-image-476582" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Granular-links.png 1400w, https://searchengineland.com/wp-content/seloads/2026/05/Granular-links-768x800.png 768w" sizes="(max-width: 1400px) 100vw, 1400px" /></figure>



<p>(5) <strong>Hover over inline links. </strong>Google&#8217;s AI features will give you a quick preview of a website when you hover your cursor over an inline link in the AI feature, AI Mode or AI Overviews, on desktop.  We saw Google <a href="https://www.seroundtable.com/google-hover-pop-up-links-in-ai-overviews-ai-mode-40948.html">testing this in February</a> and I feel this is a better method to encourage searchers to click over.</p>



<p>The information in the overlay includes name of the website or title of the web page and maybe more useful information.</p>



<p>Here is what it looks like:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1400" height="1028" src="https://searchengineland.com/wp-content/seloads/2026/05/Website-preview-on-hover.png" alt="" class="wp-image-476584" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Website-preview-on-hover.png 1400w, https://searchengineland.com/wp-content/seloads/2026/05/Website-preview-on-hover-768x564.png 768w" sizes="(max-width: 1400px) 100vw, 1400px" /></figure>



<p><strong>Why we care. </strong>Google wrote, &#8220;We&#8217;ll keep testing, learning and improving these features based on what works best for you.&#8221; </p>



<p>These changes, in my opinion, should increase the chances of searchers clicking from the AI experiences to the cited page.  And it also shows Google is making changes to try to improve the overall ecosystem. The big question is, will these changes be enough?</p>


Google announced five changes to how the search engine will show links and citations within its AI Search features – AI Mode and AI Overviews.  These changes aim to make it “easy for you to connect with authentic voices and explore useful information across the web,” Google’s Hema Budaraju, VP, Product Management, wrote.
Here are the five changes that are rolling out in AI Mode and AI Overviews:
(1) Suggested angles at the end of the AI responses. Google may show suggestions for where to go next at the end of many AI responses within AI Mode or AI Overviews. This “section links to unique articles or in-depth analyses on different facets of your topic, making it easy to satisfy your curiosity,” Google explained.
Here is what it looks like:




(2) Easier access to your news subscriptions. Google will highlight links from your news subscriptions in AI Mode and AI Overviews. Google said this makes it easier for “you can quickly access the content you trust and get more value from your subscriptions.” Google added in its early testing that searchers were “significantly more likely to click links that were labeled as their subscriptions.”
Publishers can enable subscription linking using this documentation.
Here is what it looks like:




(3) Social media and online discussions include creator’s name, handle and community name. When Google’s AI features cite social media or online discussions, Google will not just include the name of the website, but also the creator’s name and handle – along with the community name. 
This is to make it easier to understand these responses are from firsthand sources. We saw Google testing this earlier.
Here is what it looks like:




(4) More links, next to relevant text. Google also said it will show more links directly within the AI responses, right next to the relevant text it was citing. This should encourage searchers to dig deeper into those websites because those citations and links are right next to the related text.
Here is what it looks like:




(5) Hover over inline links. Google’s AI features will give you a quick preview of a website when you hover your cursor over an inline link in the AI feature, AI Mode or AI Overviews, on desktop.  We saw Google testing this in February and I feel this is a better method to encourage searchers to click over.
The information in the overlay includes name of the website or title of the web page and maybe more useful information.
Here is what it looks like:




Why we care. Google wrote, “We’ll keep testing, learning and improving these features based on what works best for you.” 
These changes, in my opinion, should increase the chances of searchers clicking from the AI experiences to the cited page.  And it also shows Google is making changes to try to improve the overall ecosystem. The big question is, will these changes be enough?

Google says these updates make it "easy for you to connect with authentic voices and explore useful information across the web."

Google updates links within AI Overviews & AI Mode

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them.png" class="attachment-large size-large wp-post-image" alt="Why Facebook account lockouts are rising and what’s driving them" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI moderation, stricter security signals, and platform scale are increasing false positives — often without meaningful human review.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them.png" class="attachment-large size-large wp-post-image" alt="Why Facebook account lockouts are rising and what’s driving them" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them.png 1920w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/05/Why-Facebook-account-lockouts-are-rising-and-whats-driving-them-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Over the past few months, a growing number of users have reported being locked out of their Facebook accounts — often suddenly, and sometimes permanently. What used to feel like a rare inconvenience has become a widespread frustration, affecting everyday users, creators, and business owners alike.</p>



<p>So what’s actually driving the increase? It’s a combination of AI moderation, security shifts, platform economics, and evolving user behavior. </p>



<p>Here’s what’s really going on behind the scenes.</p>



<h2 class="wp-block-heading" id="h-the-rise-of-ai-moderation-and-its-tradeoffs">The rise of AI moderation — and its tradeoffs</h2>



<p>At the center of the issue is Facebook’s parent company, Meta, which now relies heavily on artificial intelligence to monitor activity across billions of accounts. These systems are designed to:</p>



<ul class="wp-block-list">
<li>Detect harmful content.</li>



<li>Prevent scams and abuse.</li>



<li>Enforce community standards at scale.</li>
</ul>



<p>But there’s a tradeoff. AI systems don’t understand nuance the way humans do. As a result, they can:</p>



<ul class="wp-block-list">
<li>Flag normal behavior as suspicious.</li>



<li>Misinterpret context (especially in messages or posts).</li>



<li>Trigger account restrictions based on patterns rather than intent.</li>
</ul>



<p>This has led to a rise in false positives, where legitimate users are locked out without clear justification. Reports of wrongful account disabling are widespread, often driven by AI-only moderation with little to no meaningful human review. In some cases, appeals are resolved almost instantly — suggesting minimal human intervention despite stated policies.</p>



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<h2 class="wp-block-heading" id="h-account-takeovers-are-increasing">Account takeovers are increasing</h2>



<p>Cybercrime has surged in recent years, prompting social platforms to tighten security measures.</p>



<p>Facebook now uses more aggressive signals to detect:</p>



<ul class="wp-block-list">
<li>Logins from new locations or devices.</li>



<li>Rapid changes to account details.</li>



<li>Unusual messaging or posting behavior.</li>
</ul>



<p>While these measures help stop bad actors, they also create unintended consequences:</p>



<ul class="wp-block-list">
<li>Traveling, using a VPN, or switching devices can trigger lockouts.</li>



<li>Legitimate users can get caught in the same net as bad actors.</li>
</ul>



<p>The system is designed to act quickly — but sometimes, that speed comes at the cost of accuracy.</p>



<p>Once a hacker gains access, they often change the email and password associated with the account, triggering security flags and locking the original owner out completely. From Facebook’s perspective, the account is now compromised — which it is — but recovery systems don’t always prioritize quickly restoring access to the rightful owner.</p>



<h2 class="wp-block-heading" id="h-the-role-of-new-features-and-identity-verification">The role of new features and identity verification</h2>



<p>Recent years have introduced additional layers of security, including:</p>



<ul class="wp-block-list">
<li>Two-factor authentication requirements.</li>



<li>Identity verification checks.</li>



<li>Paid support options tied to account verification.</li>
</ul>



<p>While these features improve security, they also introduce friction:</p>



<ul class="wp-block-list">
<li>Add friction to account recovery.</li>



<li>Create barriers for users who can’t easily verify their identity.</li>



<li>Lead to lockouts if verification fails.</li>
</ul>



<p>In some cases, users report being asked to submit identification multiple times without resolution, further compounding frustration.</p>



<h2 class="wp-block-heading" id="h-the-business-incentive-behind-platform-changes">The business incentive behind platform changes</h2>



<p>Meta’s primary reason for heavily investing in AI moderation, automated enforcement and Meta’s heavy investment in AI moderation, automated enforcement, and self-service recovery tools is driven by a simple reality: it’s more cost-effective.</p>



<p>Automation offers instant scalability, lower operational costs, and efficient handling of “standard” cases. However, this efficiency comes at a cost. Unless you are an agency or a larger entity operating within Business Manager, access to meaningful support is often limited — leaving many users stuck without a clear escalation path.</p>



<p>Meta’s dominant position in social media advertising, combined with strong financial performance and significant political influence, creates relatively little external pressure to overhaul its support systems. </p>



<p>Meanwhile, search results related to account recovery are often dominated by Meta’s own resources, funneling users back into the same limited support ecosystem — even when alternative solutions may exist.</p>



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<h2 class="wp-block-heading" id="h-platform-scale-is-working-against-users">Platform scale is working against users</h2>



<p>There’s a fundamental reality at play: Facebook operates at an enormous scale.</p>



<p>With billions of users, even a small error rate can impact millions of people. As a result, Meta’s support systems cannot realistically provide personalized assistance to everyone. Automation becomes the default — even when it’s imperfect.</p>



<p>Internal fragmentation further complicates the issue. Facebook isn’t a single system — it’s an ecosystem that includes:</p>



<ul class="wp-block-list">
<li>Personal profiles.</li>



<li>Pages.</li>



<li>Ad accounts.</li>



<li>Business Manager.</li>



<li>Instagram, Threads, and WhatsApp.</li>
</ul>



<p>Each of these systems operates with its own rules, infrastructure, and support pathways. When issues span multiple systems — which is often the case — there’s no single team that fully “owns” the problem. This makes resolution slower, more complex, and more difficult to navigate.</p>



<p>What feels like a deeply personal issue is often the result of a system optimized for global efficiency, not individual nuance. Facebook is designed to minimize large-scale risk — and that priority can conflict directly with fast, human-centered support.</p>



<h2 class="wp-block-heading" id="h-lack-of-human-support-and-regaining-access">Lack of human support and regaining access</h2>



<p>One of the most consistent complaints isn’t just the lockouts — it’s what happens after. Users frequently report:</p>



<ul class="wp-block-list">
<li>Limited access to human support.</li>



<li>Automated responses that don’t resolve the issue.</li>



<li>Confusing or broken recovery workflows.</li>
</ul>



<p>While Meta has introduced new support tools, much of the process remains automated. If your issue doesn’t fit neatly into predefined categories, resolution becomes significantly more difficult.</p>



<p>That’s largely because Facebook’s support system is built around rigid, predefined pathways — like “my account was hacked,” “I can’t log in,” or “my ad was rejected.” In reality, most issues don’t fall cleanly into one of these buckets. They’re often layered: part hack, part lockout, or tied to both personal accounts and Business Manager access, sometimes compounded by unclear or incorrect policy flags.</p>



<p>When a case doesn’t align with a single category, the system struggles to route it properly. Instead of moving toward resolution, users are often pushed through repetitive workflows — submitting forms that don’t fully apply — leaving them stuck in frustrating loops with no clear path forward.</p>



<p><a href="https://www.linkedin.com/in/wkjennings" target="_blank" rel="noopener">William Jennings</a>, sole proprietor of WKJ Consulting, a social account recovery consultancy, has seen firsthand how these gaps have fueled an underground recovery market. In some cases, fraudulent services exploit locked-out users by demanding payment through unconventional methods like game credits — an ecosystem that exists largely because legitimate, accessible recovery channels are limited.</p>



<p>Accounts linked through Meta’s Account Center (Facebook and Instagram) tend to have a smoother recovery path. In some cases, users can subscribe to Meta Verified on a linked Instagram account to unlock chat support and file an admin dispute claim.</p>



<p>Jennings notes:&nbsp;</p>



<ul class="wp-block-list">
<li>“Meta Verified acts like paid protection — roughly 90% effective at preventing wrongful restrictions or disabling, though it offers no guarantee if rules are actually broken.”</li>
</ul>



<p>A structured recovery approach often includes:</p>



<ul class="wp-block-list">
<li>Subscribing to Meta Verified for access to chat support.</li>



<li>Filing an admin dispute claim with proper documentation (error screenshots, emails, account URL, and ID verification).</li>



<li>Escalating to legal support in more severe cases.</li>
</ul>



<p>It’s important to note that hacked accounts must go through dedicated recovery flows (such as facebook.com/hacked or instagram.com/hacked), and prevention is significantly more effective than recovery.</p>



<p>After regaining access, essential protective steps include enabling two-factor authentication, saving recovery codes, and maintaining enhanced security measures.</p>



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<h2 class="wp-block-heading" id="h-enforcement-has-scaled-recovery-hasn-t">Enforcement has scaled — recovery hasn’t</h2>



<p>Facebook lockouts are a direct byproduct of the platform&#8217;s evolution. As Meta continues to scale automation and prioritize efficiency, users are increasingly interacting with systems designed for speed, safety, and risk mitigation.</p>



<p>Most of the time, these systems work quietly in the background. But when they fail, they can feel abrupt, opaque, and incredibly difficult to navigate.</p>



<p>Access to real support is often tied to high ad spend, established business accounts, and paid verification products. This creates an uneven support landscape where large advertisers receive faster assistance, while individuals and small businesses are left with limited options.</p>



<p>For a platform operating at global scale, this is largely by design. But for users caught in the system, the experience can feel deeply frustrating.</p>

Over the past few months, a growing number of users have reported being locked out of their Facebook accounts — often suddenly, and sometimes permanently. What used to feel like a rare inconvenience has become a widespread frustration, affecting everyday users, creators, and business owners alike.
So what’s actually driving the increase? It’s a combination of AI moderation, security shifts, platform economics, and evolving user behavior. 
Here’s what’s really going on behind the scenes.
The rise of AI moderation — and its tradeoffs
At the center of the issue is Facebook’s parent company, Meta, which now relies heavily on artificial intelligence to monitor activity across billions of accounts. These systems are designed to:
Detect harmful content.
Prevent scams and abuse.
Enforce community standards at scale.
But there’s a tradeoff. AI systems don’t understand nuance the way humans do. As a result, they can:
Flag normal behavior as suspicious.
Misinterpret context (especially in messages or posts).
Trigger account restrictions based on patterns rather than intent.
This has led to a rise in false positives, where legitimate users are locked out without clear justification. Reports of wrongful account disabling are widespread, often driven by AI-only moderation with little to no meaningful human review. In some cases, appeals are resolved almost instantly — suggesting minimal human intervention despite stated policies.

  
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Account takeovers are increasing
Cybercrime has surged in recent years, prompting social platforms to tighten security measures.
Facebook now uses more aggressive signals to detect:
Logins from new locations or devices.
Rapid changes to account details.
Unusual messaging or posting behavior.
While these measures help stop bad actors, they also create unintended consequences:
Traveling, using a VPN, or switching devices can trigger lockouts.
Legitimate users can get caught in the same net as bad actors.
The system is designed to act quickly — but sometimes, that speed comes at the cost of accuracy.
Once a hacker gains access, they often change the email and password associated with the account, triggering security flags and locking the original owner out completely. From Facebook’s perspective, the account is now compromised — which it is — but recovery systems don’t always prioritize quickly restoring access to the rightful owner.
The role of new features and identity verification
Recent years have introduced additional layers of security, including:
Two-factor authentication requirements.
Identity verification checks.
Paid support options tied to account verification.
While these features improve security, they also introduce friction:
Add friction to account recovery.
Create barriers for users who can’t easily verify their identity.
Lead to lockouts if verification fails.
In some cases, users report being asked to submit identification multiple times without resolution, further compounding frustration.
The business incentive behind platform changes
Meta’s primary reason for heavily investing in AI moderation, automated enforcement and Meta’s heavy investment in AI moderation, automated enforcement, and self-service recovery tools is driven by a simple reality: it’s more cost-effective.
Automation offers instant scalability, lower operational costs, and efficient handling of “standard” cases. However, this efficiency comes at a cost. Unless you are an agency or a larger entity operating within Business Manager, access to meaningful support is often limited — leaving many users stuck without a clear escalation path.
Meta’s dominant position in social media advertising, combined with strong financial performance and significant political influence, creates relatively little external pressure to overhaul its support systems. 
Meanwhile, search results related to account recovery are often dominated by Meta’s own resources, funneling users back into the same limited support ecosystem — even when alternative solutions may exist.
Get the newsletter search marketers rely on.
 
				
				
			
See terms.
		
Platform scale is working against users
There’s a fundamental reality at play: Facebook operates at an enormous scale.
With billions of users, even a small error rate can impact millions of people. As a result, Meta’s support systems cannot realistically provide personalized assistance to everyone. Automation becomes the default — even when it’s imperfect.
Internal fragmentation further complicates the issue. Facebook isn’t a single system — it’s an ecosystem that includes:
Personal profiles.
Pages.
Ad accounts.
Business Manager.
Instagram, Threads, and WhatsApp.
Each of these systems operates with its own rules, infrastructure, and support pathways. When issues span multiple systems — which is often the case — there’s no single team that fully “owns” the problem. This makes resolution slower, more complex, and more difficult to navigate.
What feels like a deeply personal issue is often the result of a system optimized for global efficiency, not individual nuance. Facebook is designed to minimize large-scale risk — and that priority can conflict directly with fast, human-centered support.
Lack of human support and regaining access
One of the most consistent complaints isn’t just the lockouts — it’s what happens after. Users frequently report:
Limited access to human support.
Automated responses that don’t resolve the issue.
Confusing or broken recovery workflows.
While Meta has introduced new support tools, much of the process remains automated. If your issue doesn’t fit neatly into predefined categories, resolution becomes significantly more difficult.
That’s largely because Facebook’s support system is built around rigid, predefined pathways — like “my account was hacked,” “I can’t log in,” or “my ad was rejected.” In reality, most issues don’t fall cleanly into one of these buckets. They’re often layered: part hack, part lockout, or tied to both personal accounts and Business Manager access, sometimes compounded by unclear or incorrect policy flags.
When a case doesn’t align with a single category, the system struggles to route it properly. Instead of moving toward resolution, users are often pushed through repetitive workflows — submitting forms that don’t fully apply — leaving them stuck in frustrating loops with no clear path forward.
William Jennings, sole proprietor of WKJ Consulting, a social account recovery consultancy, has seen firsthand how these gaps have fueled an underground recovery market. In some cases, fraudulent services exploit locked-out users by demanding payment through unconventional methods like game credits — an ecosystem that exists largely because legitimate, accessible recovery channels are limited.
Accounts linked through Meta’s Account Center (Facebook and Instagram) tend to have a smoother recovery path. In some cases, users can subscribe to Meta Verified on a linked Instagram account to unlock chat support and file an admin dispute claim.
Jennings notes: 
“Meta Verified acts like paid protection — roughly 90% effective at preventing wrongful restrictions or disabling, though it offers no guarantee if rules are actually broken.”
A structured recovery approach often includes:
Subscribing to Meta Verified for access to chat support.
Filing an admin dispute claim with proper documentation (error screenshots, emails, account URL, and ID verification).
Escalating to legal support in more severe cases.
It’s important to note that hacked accounts must go through dedicated recovery flows (such as facebook.com/hacked or instagram.com/hacked), and prevention is significantly more effective than recovery.
After regaining access, essential protective steps include enabling two-factor authentication, saving recovery codes, and maintaining enhanced security measures.

  
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Enforcement has scaled — recovery hasn’t
Facebook lockouts are a direct byproduct of the platform’s evolution. As Meta continues to scale automation and prioritize efficiency, users are increasingly interacting with systems designed for speed, safety, and risk mitigation.
Most of the time, these systems work quietly in the background. But when they fail, they can feel abrupt, opaque, and incredibly difficult to navigate.
Access to real support is often tied to high ad spend, established business accounts, and paid verification products. This creates an uneven support landscape where large advertisers receive faster assistance, while individuals and small businesses are left with limited options.
For a platform operating at global scale, this is largely by design. But for users caught in the system, the experience can feel deeply frustrating.

AI moderation, stricter security signals, and platform scale are increasing false positives — often without meaningful human review.

Why Facebook account lockouts are rising and what’s driving them

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png 1920w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>In 2025, Google began rolling out significant changes to its Search Partner Network, aimed at improving inventory quality.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png 1920w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<figure class="wp-block-image size-full"><img decoding="async" width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png" alt="" class="wp-image-475961" srcset="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506.png 1920w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></figure>



<p>For over two decades, parked domains generated income for advertisers and publishers. Recent Google Ads policy changes restricting ads on parked, expired, or mistyped domains show that nothing lasts forever.</p>



<p>If industry shifts have affected you, this article may interest you. Today, we’ll take a deeper look at domain monetization and whether you can still stabilize and optimize income from domain traffic.</p>



<h2 class="wp-block-heading" id="h-the-domain-market-shake-up">The domain market shake-up</h2>



<p>In 2025, Google began rolling out significant changes to its Search Partner Network to improve inventory quality. These updates tightened controls and limited ad delivery across parked, expired, and mistyped domains.</p>



<p>That process concluded Feb. 10, <a href="https://support.google.com/google-ads/answer/16286960" target="_blank" rel="noopener sponsored nofollow">“Parked Domains” were removed</a> as a dedicated ad placement option. Since then, ads no longer appear on these sites through the previous opt-in setup, signaling a broader shift away from this inventory.</p>



<p>Given Google’s scale, this change affected many publishers and domain owners and couldn’t be ignored. It drove a notable market adjustment: some long-standing domain parking and monetization businesses <a href="https://domaininvesting.com/bodis-to-cease-operating-on-january-31/" target="_blank" rel="noopener sponsored nofollow">shut down</a>, others rebuilt their frameworks from scratch, and new entrants began exploring opportunities in the evolving landscape.</p>



<h2 class="wp-block-heading" id="h-new-developments-in-domain-monetization">New developments in domain monetization</h2>



<p>This shift is clear in recent developments.</p>



<p>Across domain forums, users show uncertainty as they navigate the transition and assess new ways to monetize idle domains. At the same time, the rise of domain conferences worldwide highlights growing interest, attracting new players and creating new opportunities.</p>



<p>Though this transformation is still in its early stages, a positive trajectory is emerging. Opportunities to monetize domains remain — this is a phase where new structures are taking shape.&nbsp;</p>



<p>New players are building and testing solutions, some of which will likely prove viable and help move the market toward a more stable, sustainable direction.</p>



<h2 class="wp-block-heading" id="h-rollerads-domain-monetization-solution">RollerAds’ domain monetization solution</h2>



<p>In response, several monetization platforms have adapted their infrastructure to better support domain traffic. One example is <a href="https://bit.ly/4cmPbn9" target="_blank" rel="noopener sponsored nofollow">RollerAds</a>, which supports parked domain traffic through its existing ad delivery ecosystem.</p>



<p>The platform draws on experience in domain traffic monetization and focuses on formats such as <a href="https://bit.ly/4sQvSaX" target="_blank" rel="noopener sponsored nofollow">Direct Click</a> ads.</p>



<p>A key factor in performance stability is a monetization model based on content-safe, high-demand verticals like eeommerce, which tend to deliver stronger payouts. A large share of revenue also comes from RSOC (Related Search on Content) units that guide users to sponsored search results, capturing and monetizing intent-based traffic.</p>



<p>Through simple DNS integration, the platform lets you connect large domain portfolios at scale, turning them into ongoing revenue streams instead of unused holdings.</p>



<h2 class="wp-block-heading" id="h-domain-monetization-example-from-rollerads">Domain monetization example from RollerAds</h2>



<p>Here’s a representative example of monetization results from the RollerAds platform. A publisher acquired the ******.ws domain for $5.95 to monetize it. After connecting it exclusively to the platform, the domain began generating about $7 per month consistently, covering its initial cost relatively quickly.</p>



<p>While the amount is modest, it comes from a single low-traffic domain and requires no ongoing management, making it a fully passive income stream.</p>



<p>Now consider a scenario where the same publisher owns hundreds or thousands of similar domains. Instead of managing each individually, they can focus on expanding their portfolio or core business while maintaining automated revenue streams. With higher-quality domains and stronger traffic, earning potential scales upward.</p>



<p>During its operation, <strong>this domain did not generate any abuse reports</strong>.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="670" height="450" src="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506_01.png" alt="" class="wp-image-475964"/></figure>
</div>

<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="670" height="294" src="https://searchengineland.com/wp-content/seloads/2026/04/rollerads-20260506_02.png" alt="" class="wp-image-475965"/></figure>
</div>


<h2 class="wp-block-heading" id="h-domains-sale-amp-monetization">Domains sale &amp; monetization</h2>



<p>One key advantage of modern domain monetization setups is that you don’t have to choose between earning from a domain and selling it. You can do both in one place. A domain can keep generating income from traffic while it’s listed for sale, so it doesn’t sit idle.</p>



<p>At the same time, the revenue it generates provides a clearer picture of its actual value instead of relying on guesswork.</p>



<p>This combined approach is also available on RollerAds, where you can monetize domains and list them for sale within the same platform.</p>



<h2 class="wp-block-heading" id="h-adapting-to-change-in-domain-monetization">Adapting to change in domain monetization</h2>



<p>The domain market is undergoing a period of change that brings challenges and new opportunities. In this environment, the key is to stay flexible, test different approaches, and use available tools — whether to monetize domains or sell them.</p>



<p>If you’re facing monetization challenges or looking to list domains for sale, <a href="https://bit.ly/4cmPbn9" target="_blank" rel="noopener sponsored nofollow">RollerAds</a> may be the right partner. Get in touch with the managers to find a convenient, profitable solution for your needs. Domain monetization remains active and continues to build a more stable foundation as the market evolves.</p>


For over two decades, parked domains generated income for advertisers and publishers. Recent Google Ads policy changes restricting ads on parked, expired, or mistyped domains show that nothing lasts forever.
If industry shifts have affected you, this article may interest you. Today, we’ll take a deeper look at domain monetization and whether you can still stabilize and optimize income from domain traffic.
The domain market shake-up
In 2025, Google began rolling out significant changes to its Search Partner Network to improve inventory quality. These updates tightened controls and limited ad delivery across parked, expired, and mistyped domains.
That process concluded Feb. 10, “Parked Domains” were removed as a dedicated ad placement option. Since then, ads no longer appear on these sites through the previous opt-in setup, signaling a broader shift away from this inventory.
Given Google’s scale, this change affected many publishers and domain owners and couldn’t be ignored. It drove a notable market adjustment: some long-standing domain parking and monetization businesses shut down, others rebuilt their frameworks from scratch, and new entrants began exploring opportunities in the evolving landscape.
New developments in domain monetization
This shift is clear in recent developments.
Across domain forums, users show uncertainty as they navigate the transition and assess new ways to monetize idle domains. At the same time, the rise of domain conferences worldwide highlights growing interest, attracting new players and creating new opportunities.
Though this transformation is still in its early stages, a positive trajectory is emerging. Opportunities to monetize domains remain — this is a phase where new structures are taking shape. 
New players are building and testing solutions, some of which will likely prove viable and help move the market toward a more stable, sustainable direction.
RollerAds’ domain monetization solution
In response, several monetization platforms have adapted their infrastructure to better support domain traffic. One example is RollerAds, which supports parked domain traffic through its existing ad delivery ecosystem.
The platform draws on experience in domain traffic monetization and focuses on formats such as Direct Click ads.
A key factor in performance stability is a monetization model based on content-safe, high-demand verticals like eeommerce, which tend to deliver stronger payouts. A large share of revenue also comes from RSOC (Related Search on Content) units that guide users to sponsored search results, capturing and monetizing intent-based traffic.
Through simple DNS integration, the platform lets you connect large domain portfolios at scale, turning them into ongoing revenue streams instead of unused holdings.
Domain monetization example from RollerAds
Here’s a representative example of monetization results from the RollerAds platform. A publisher acquired the ******.ws domain for $5.95 to monetize it. After connecting it exclusively to the platform, the domain began generating about $7 per month consistently, covering its initial cost relatively quickly.
While the amount is modest, it comes from a single low-traffic domain and requires no ongoing management, making it a fully passive income stream.
Now consider a scenario where the same publisher owns hundreds or thousands of similar domains. Instead of managing each individually, they can focus on expanding their portfolio or core business while maintaining automated revenue streams. With higher-quality domains and stronger traffic, earning potential scales upward.
During its operation, this domain did not generate any abuse reports.








Domains sale & monetization
One key advantage of modern domain monetization setups is that you don’t have to choose between earning from a domain and selling it. You can do both in one place. A domain can keep generating income from traffic while it’s listed for sale, so it doesn’t sit idle.
At the same time, the revenue it generates provides a clearer picture of its actual value instead of relying on guesswork.
This combined approach is also available on RollerAds, where you can monetize domains and list them for sale within the same platform.
Adapting to change in domain monetization
The domain market is undergoing a period of change that brings challenges and new opportunities. In this environment, the key is to stay flexible, test different approaches, and use available tools — whether to monetize domains or sell them.
If you’re facing monetization challenges or looking to list domains for sale, RollerAds may be the right partner. Get in touch with the managers to find a convenient, profitable solution for your needs. Domain monetization remains active and continues to build a more stable foundation as the market evolves.

In 2025, Google began rolling out significant changes to its Search Partner Network, aimed at improving inventory quality.

Parked domain monetization 2026: Adapting to the changes by RollerAds

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most.png" class="attachment-large size-large wp-post-image" alt="How to get cited by ChatGPT: The content traits LLMs quote most" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most.png 1920w, https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most-768x432.png 768w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>ChatGPT ads are expanding with self-serve buying, and improved measurement, a move toward a scalable advertising platform.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most.png" class="attachment-large size-large wp-post-image" alt="How to get cited by ChatGPT: The content traits LLMs quote most" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most.png 1920w, https://searchengineland.com/wp-content/seloads/2025/11/How-to-get-cited-by-ChatGPT-The-content-traits-LLMs-quote-most-768x432.png 768w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>OpenAI is taking the next step in building its ChatGPT ads platform — introducing self-serve buying, CPC bidding and improved measurement to bring more advertisers into the ecosystem</p>



<p><strong>What’s happening</strong>. Ads in ChatGPT are moving beyond a limited pilot, with new ways for businesses to buy and manage campaigns. Advertisers can now access inventory through agency and tech partners — or directly via a new beta Ads Manager rolling out in the U.S.</p>



<p>This marks a shift from a controlled test environment to a more scalable ad platform.</p>



<p><strong>Why we care. </strong>Until now, access to ChatGPT ads has been restricted and expensive, limiting participation to large advertisers. These updates lower the barrier to entry, opening the door for SMBs, startups and a wider range of brands to test the channel.</p>



<p>At the same time, <a href="https://searchengineland.com/openai-adds-cpc-ads-to-chatgpt-475148">introducing CPC bidding</a> brings ChatGPT closer to established performance platforms, allowing advertisers to optimise for actions — not just impressions.</p>



<p><strong>Self-serve Ads Manager</strong>. The new Ads Manager gives advertisers direct control over campaigns, including budgeting, bidding, creative uploads and performance tracking.</p>



<p>While still in beta, it signals OpenAI’s intention to build a full-service ad platform — not just a partner-led ecosystem.</p>



<p><strong>Between the lines</strong>. This is a familiar playbook. Platforms typically start with high-touch, partner-led campaigns before moving to self-serve tools that unlock scale. ChatGPT is now entering that second phase.</p>



<p><strong>CPC bidding arrives</strong>. Previously, ChatGPT ads were sold on a CPM basis. The addition of CPC means advertisers can now align spend with user actions — a critical step for performance marketers.</p>



<p>Given the nature of ChatGPT queries — often exploratory, comparative and decision-driven — clicks could become a strong proxy for intent.</p>



<p><strong>Measurement catches up</strong>. OpenAI is also rolling out pixel-based tracking and a Conversions API, allowing advertisers to measure actions like purchases, sign-ups and leads.</p>



<p>Importantly, this data is aggregated, with no access to individual conversations — reinforcing OpenAI’s emphasis on privacy.</p>



<p><strong>Why this is a big deal</strong>. Measurement has been one of the biggest gaps in early ChatGPT ads. Without it, advertisers struggled to justify spend. These updates begin to close that gap and make optimisation more viable.</p>



<p><strong>The ecosystem grows</strong>. OpenAI is also expanding its partner network, working with agencies like WPP and Publicis Groupe, as well as tech platforms such as Criteo and Adobe.</p>



<p>This allows advertisers to buy ChatGPT ads through tools and workflows they already use.</p>



<p><strong>What to watch:</strong>



<ul class="wp-block-list">
<li>How quickly self-serve adoption scales</li>



<li>Whether CPC performance holds as competition increases</li>



<li>How measurement evolves to match advertiser expectations</li>
</ul>



<p><strong>Bottom line</strong>. <a href="https://openai.com/index/new-ways-to-buy-chatgpt-ads/">ChatGPT ads are moving from experiment to platform</a> — and with self-serve tools, CPC bidding and better measurement, OpenAI is laying the groundwork for scale.</p>


OpenAI is taking the next step in building its ChatGPT ads platform — introducing self-serve buying, CPC bidding and improved measurement to bring more advertisers into the ecosystem
What’s happening. Ads in ChatGPT are moving beyond a limited pilot, with new ways for businesses to buy and manage campaigns. Advertisers can now access inventory through agency and tech partners — or directly via a new beta Ads Manager rolling out in the U.S.
This marks a shift from a controlled test environment to a more scalable ad platform.
Why we care. Until now, access to ChatGPT ads has been restricted and expensive, limiting participation to large advertisers. These updates lower the barrier to entry, opening the door for SMBs, startups and a wider range of brands to test the channel.
At the same time, introducing CPC bidding brings ChatGPT closer to established performance platforms, allowing advertisers to optimise for actions — not just impressions.
Self-serve Ads Manager. The new Ads Manager gives advertisers direct control over campaigns, including budgeting, bidding, creative uploads and performance tracking.
While still in beta, it signals OpenAI’s intention to build a full-service ad platform — not just a partner-led ecosystem.
Between the lines. This is a familiar playbook. Platforms typically start with high-touch, partner-led campaigns before moving to self-serve tools that unlock scale. ChatGPT is now entering that second phase.
CPC bidding arrives. Previously, ChatGPT ads were sold on a CPM basis. The addition of CPC means advertisers can now align spend with user actions — a critical step for performance marketers.
Given the nature of ChatGPT queries — often exploratory, comparative and decision-driven — clicks could become a strong proxy for intent.
Measurement catches up. OpenAI is also rolling out pixel-based tracking and a Conversions API, allowing advertisers to measure actions like purchases, sign-ups and leads.
Importantly, this data is aggregated, with no access to individual conversations — reinforcing OpenAI’s emphasis on privacy.
Why this is a big deal. Measurement has been one of the biggest gaps in early ChatGPT ads. Without it, advertisers struggled to justify spend. These updates begin to close that gap and make optimisation more viable.
The ecosystem grows. OpenAI is also expanding its partner network, working with agencies like WPP and Publicis Groupe, as well as tech platforms such as Criteo and Adobe.
This allows advertisers to buy ChatGPT ads through tools and workflows they already use.
What to watch:




How quickly self-serve adoption scales
Whether CPC performance holds as competition increases
How measurement evolves to match advertiser expectations
Bottom line. ChatGPT ads are moving from experiment to platform — and with self-serve tools, CPC bidding and better measurement, OpenAI is laying the groundwork for scale.

ChatGPT ads are expanding with self-serve buying, and improved measurement, a move toward a scalable advertising platform.

ChatGPT ads expand with self-serve buying

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-800x450.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>UCP-powered checkout initially went live only in AI Mode but it now seems to be available for some retailers in Search.

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-800x450.jpg" class="attachment-large size-large wp-post-image" alt="" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920-150x84.jpg 150w, https://searchengineland.com/wp-content/seloads/2016/01/google-shopping-2016a-ss-1920.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>Earlier this year, Google announced <a href="https://searchengineland.com/google-universal-commerce-protocol-467290">Universal Commerce Protocol</a> (UCP), a protocol to allow AI-agents to buy directly from search.  This went live only in Google&#8217;s <a href="https://blog.google/products/ads-commerce/digital-advertising-commerce-2026/">AI Mode interface in February</a>.  But now, it seems to be rolling out in the main Google Search results where there are retailers that support UCP.</p>



<p><strong>What it looks like. </strong>Brodie Clark <a href="https://brodieclark.com/notes/#may-2026">posted</a> a screenshot, which I can replicate, of the UCP-powered &#8220;Buy&#8221; button in the product detail overlay within Google Search, specifically for the retailer Wayfair.  Here is his screenshot:</p>



<figure class="wp-block-image size-full"><img decoding="async" width="1782" height="1020" src="https://searchengineland.com/wp-content/seloads/2026/05/ucp-google-search-wayfair.jpg" alt="" class="wp-image-476541" srcset="https://searchengineland.com/wp-content/seloads/2026/05/ucp-google-search-wayfair.jpg 1782w, https://searchengineland.com/wp-content/seloads/2026/05/ucp-google-search-wayfair-768x440.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/05/ucp-google-search-wayfair-1536x879.jpg 1536w" sizes="(max-width: 1782px) 100vw, 1782px" /></figure>



<p>Clicking the Buy button will connect your Google checkout account with Wayfair and make the purchase without having to go to the Wayfair website to checkout. </p>



<p><strong>About UCP</strong>. UCP establishes a shared language between AI agents and commerce systems, removing the need for custom integrations across agents or platforms.</p>



<ul class="wp-block-list">
<li>UCP works with existing standards (e.g., Agent2Agent, Agent Payments Protocol, and Model Context Protocol).</li>



<li>Google co-developed it with partners including Shopify, Etsy, Wayfair, and Target.</li>



<li>More than 20 additional companies across retail and payments have already endorsed it.</li>
</ul>



<p><strong>Why we care. </strong>A lot of people are saying AI-agents are the future of the web, well, here is a clear sign of how agents can help retailers make money. While Wayfair did not get any traffic from Google for this query, and there is no click, 0 click-through rates from Google Search.  There was an impression in Google Search that led to a purchase without any clicks to the web site.</p>



<p>This won&#8217;t necessarily stop all searchers for wanting to visit the site and learn more about the product before purchasing. Just like it doesn&#8217;t stop all buyers from going into a physical store to touch and feel the product before purchasing.  But some may just click &#8220;Buy&#8221; and never visit your site.</p>



<p>Now that it is rolling out in the main search results, it is something to keep a closer eye on.</p>


Earlier this year, Google announced Universal Commerce Protocol (UCP), a protocol to allow AI-agents to buy directly from search.  This went live only in Google’s AI Mode interface in February.  But now, it seems to be rolling out in the main Google Search results where there are retailers that support UCP.
What it looks like. Brodie Clark posted a screenshot, which I can replicate, of the UCP-powered “Buy” button in the product detail overlay within Google Search, specifically for the retailer Wayfair.  Here is his screenshot:




Clicking the Buy button will connect your Google checkout account with Wayfair and make the purchase without having to go to the Wayfair website to checkout. 
About UCP. UCP establishes a shared language between AI agents and commerce systems, removing the need for custom integrations across agents or platforms.
UCP works with existing standards (e.g., Agent2Agent, Agent Payments Protocol, and Model Context Protocol).
Google co-developed it with partners including Shopify, Etsy, Wayfair, and Target.
More than 20 additional companies across retail and payments have already endorsed it.
Why we care. A lot of people are saying AI-agents are the future of the web, well, here is a clear sign of how agents can help retailers make money. While Wayfair did not get any traffic from Google for this query, and there is no click, 0 click-through rates from Google Search.  There was an impression in Google Search that led to a purchase without any clicks to the web site.
This won’t necessarily stop all searchers for wanting to visit the site and learn more about the product before purchasing. Just like it doesn’t stop all buyers from going into a physical store to touch and feel the product before purchasing.  But some may just click “Buy” and never visit your site.
Now that it is rolling out in the main search results, it is something to keep a closer eye on.

UCP-powered checkout initially went live only in AI Mode but it now seems to be available for some retailers in Search.

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Read the Latest Trends and Headlines in Digital Marketing.

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

Free Consultation

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

All About
Digital Marketing