Originally published on The Searchless Journal
On June 3, Google did something it had never done before. It gave website owners a dashboard showing how their content appears inside AI Overviews and AI Mode — the generative AI features that now sit at the top of billions of Google searches every month.
The announcement landed with the weight of inevitability. AI Overviews has 2.5 billion monthly active users. AI Mode has surpassed one billion. Together, these two features represent the largest AI search surfaces on the planet — bigger than ChatGPT's newly-minted one billion MAU, bigger than Perplexity, bigger than anything else in the AI answer economy. For the first time, publishers and SEO professionals can peek behind the curtain and see which of their pages Google's AI is surfacing, in which countries, on which devices, and how often.
Except they can't see the most important part. Because Google's new AI performance reports don't include click data. Not a single click. Not CTR, not traffic volume, not referral attribution, not a single metric that tells you whether your AI visibility actually translates into visitors.
And the opt-out toggle that accompanies these reports — the one that lets you remove your site from AI Overviews and AI Mode entirely — is a binary switch with no middle ground. Opt out and you disappear from the largest AI search surfaces on earth. Stay in and you get impressions data with no clicks, no context, and no way to measure whether the traffic you're losing to AI answers is being offset by the links Google does show.
This is the most important GEO infrastructure event since AI Overviews launched. And it arrived the way most meaningful Google concessions do: because a regulator forced it.
What Google Actually Announced
The new features fall into three buckets: performance reports, blocking controls, and updated AI optimization guidance.
AI Performance Reports in Search Console. A new report within Search Console showing how pages appear in "generative AI features" — AI Overviews, AI Mode, and AI Overviews in Google Discover. The report includes impressions, pages, countries, devices, and date granularity (hourly, daily, weekly, monthly). It does not include clicks, CTR, referral traffic, query data, or any attribution that connects AI visibility to actual site visits. The data starts from May 18, 2026 and goes forward only.
AI Blocking Controls. A new toggle in Search Console that lets site owners opt out of having their content appear in AI Overviews, AI Mode, and AI Overviews in Discover. Google confirmed that "sites that opt out will not receive traffic or impressions from our generative AI features." The company also stated that opting out "will not be used as a ranking signal for search results outside of these generative AI Search features" — meaning your traditional organic rankings shouldn't be affected. The toggle takes effect June 17, 2026 for the initial UK test group.
Updated AI Optimization Guide. Google refreshed its developer documentation on optimizing for generative AI features, emphasizing unique content, good page experience, and high-quality images and video — signals that overlap heavily with traditional ranking factors.
The rollout is limited to a "subset of website owners in the UK." Google says it will expand globally "over time." There is no public timeline for that expansion.
The Data Google Is Showing — and the Data It's Hiding
Let's be clear about what's groundbreaking here. For eighteen months, the SEO industry has been flying blind on AI Overviews. Google launched its generative AI search experience, expanded it to billions of users, and gave publishers zero official data on how their content was being used. You could guess from referral traffic drops, from third-party tools, from anecdotal observation — but you had nothing from Google itself.
That gap is now partially closed. The impressions data is real. Knowing which pages appear in AI responses, in which countries, on which devices — that's genuinely useful. It tells you whether your most important pages are being surfaced by AI Overviews or ignored. It gives you a baseline for monitoring changes over time. It validates that AI visibility is a measurable, trackable thing, which is a foundational step for the entire GEO category.
But impressions without clicks tell you visibility, not value. A page that appears in 100,000 AI Overviews impressions but generates zero clicks is not a success story — it's evidence of cannibalization. And Google knows this. When Barry Schwartz at Search Engine Roundtable asked Google directly about the missing click data, the response was carefully hedged: "We're continuing to work with website owners to understand what insights will be most helpful to inform their strategies, and we'll introduce additional metrics over time."
"Over time" is doing heavy lifting in that sentence. Google has had click and CTR data in standard Search Console reports for years. The infrastructure to surface it exists. The decision to exclude it from AI performance reports is not a technical limitation — it's a strategic one. Every click data point from AI Overviews would quantify exactly how much traffic Google is diverting from organic results into its own AI-generated answers. That's a number Google has no incentive to publish, because it would confirm what every publisher already suspects: AI Overviews cannibalize clicks at scale, and the impressions Google is generously showing you are a small consolation prize for the traffic you've lost.
Consider the asymmetry. Google's standard Search Console reports show clicks, impressions, CTR, and average position. Its AI performance reports show impressions only. The message is unambiguous: Google will tell you that you're visible in AI answers. It will not tell you whether that visibility is worth anything.
The CMA Angle — Why This Happened in the UK First
Here's the part of the story that matters more than the feature itself. Google didn't build these tools out of goodwill. The UK's Competition and Markets Authority imposed a "conduct requirement" on Google's search business — a regulatory intervention made possible by the UK's new digital markets competition regime, which gives the CMA the power to set targeted rules for companies designated as having "strategic market status" in digital markets.
The CMA's announcement is explicit. In a world first, publishers now have "effective tools to prevent their content being used to power AI features in search, such as AI Overviews." Google is required to "allow publishers to opt-out of allowing their content to be used for the 'fine-tuning' of AI models." The CMA is overseeing Google's compliance, requiring published compliance reports every six months for the first year, and has given Google nine months to implement all changes — though it "expects important parts of the controls to become available to publishers well before that deadline."
Sarah Cardell, Chief Executive of the CMA, framed it plainly: "With features like AI Overviews rapidly reshaping online search, it is crucial that content publishers, including news organisations, have appropriate bargaining power over how their content is used."
This matters because it reframes the entire narrative. Google's blog post presents the new controls as part of its ongoing commitment to "designing tools [...] that give websites more choice." But the CMA's language makes clear that this was a regulatory requirement, not a voluntary initiative. Google had to build these tools. The UK government forced the most powerful search company on earth to give publishers a measure of transparency and control over how AI uses their content — and Google's implementation delivers the bare minimum on both counts.
The nine-month timeline is also telling. Google has nine months to fully roll out in the UK. There is no equivalent mandate in the US, the EU, or anywhere else. Which means publishers outside the UK — the vast majority of the internet — have no timeline at all for getting this data. They're waiting on Google's goodwill, which has not historically been a reliable source of publisher-first analytics.
The Opt-Out Trap
The blocking control sounds empowering. A toggle in Search Console that lets you remove your site from AI Overviews and AI Mode. What could be more transparent than that?
The problem is that it's binary. You're either in or you're out. There is no middle ground — no way to appear in AI Overviews but not AI Mode, no way to allow content display but prohibit model training, no way to be cited without having your full content used as grounding material. One toggle, all or nothing.
And the stakes of that toggle are enormous. AI Overviews has 2.5 billion MAU. AI Mode has one billion. Together, they represent the largest AI-mediated discovery surface on the internet. Opting out means making your brand invisible to three and a half billion monthly user interactions with Google's AI. For publishers that depend on search traffic — which is most publishers — this isn't a real choice. It's a trap dressed up as agency.
Google's assurance that opting out won't affect traditional organic rankings is technically meaningful but practically insufficient. Traditional organic rankings are already being displaced by AI Overviews and AI Mode. When Google's AI answer occupies the entire viewport above the fold, ranking first organically is a consolation prize. The traffic that used to flow to the first organic result is now being intercepted by the AI answer. Opting out of the AI answer doesn't restore that traffic — it just removes you from the AI answer while your organic result gets pushed further down by the expanding AI panel.
This is the fundamental tension that Google's opt-out design creates but doesn't resolve. Publishers deserve control over how their content is used in AI. But control that amounts to "you can disappear entirely if you want" is not meaningful control. It's a Hobson's choice: accept whatever terms Google's AI offers, or forfeit the most important discovery surface in search.
Where Bing Is Already Ahead
While Google is rolling out impression-only AI reports to a UK subset, Microsoft has been quietly building a more complete AI reporting stack in Bing Webmaster Tools. Bing's AI performance report has been available for months, and Microsoft's Fabrice Canel confirmed on June 4 that API export and additional features are coming "sooner than later."
The competitive dynamic is instructive. Bing has every incentive to be more transparent than Google. Microsoft wants publishers to engage with its AI search features, and transparency is a selling point. Google, with its dominant market position, faces no competitive pressure to provide more data than the minimum the CMA requires.
This asymmetry will likely persist. Google has no reason to reveal click cannibalization data unless forced. Bing has every reason to highlight the gap. Expect Microsoft to continue using AI reporting transparency as a competitive differentiator, and expect Google to continue resisting meaningful disclosure.
Google's Warning Against Inauthentic AI Mentions
The timing of these announcements coincides with another important signal from Google. At Search Central Live Sydney on May 15, Google's Gary Illyes strongly warned against buying or manipulating brand mentions to gain visibility in AI responses — comparing the practice to paid links, which Google's systems "detect, disregard, and ultimately ignore."
Illyes went further, suggesting that inauthentic mentions would "backfire much quicker than it took with Penguin to act." Google's updated AI optimization guide explicitly addresses this under "Seeking inauthentic mentions," noting that "our core ranking systems focus on high-quality content while other systems block spam; our generative AI features depend on both."
This is a clear shot across the bow at the emerging cottage industry of services promising to place brand mentions across the web for AI visibility. Google is signaling that it considers this spam, that it has systems to detect it, and that the consequences will be faster and more severe than the link penalties of the past.
For brands investing in legitimate GEO — structured data, answer-first content, knowledge graph optimization, llms.txt — this is actually reassuring. It means Google is actively policing the manipulative end of the market, which raises the barrier to entry and rewards authentic optimization. For brands considering shortcuts, it's a warning worth heeding.
What This Means for GEO Practitioners
Google's AI performance reports, incomplete as they are, represent a tipping point for the GEO industry. For the first time, there is an official acknowledgment from Google that AI search performance is measurable, that publishers deserve data about it, and that brands need tools to manage their AI presence.
Here's what GEO practitioners should do with this moment.
Monitor impressions data as it rolls out. Even without clicks, impressions tell you which pages Google's AI considers authoritative enough to surface. If your most important commercial pages aren't appearing in AI Overviews impressions, that's an actionable signal — your AI visibility strategy needs work.
Don't use the opt-out toggle. Unless you have a specific legal or strategic reason to disappear from AI search, the binary opt-out is a trap. The better path is to optimize your AI visibility so that when your content appears in AI Overviews and AI Mode, it's positioned to maximize whatever click-through opportunity exists.
Invest in independent AI visibility measurement. Google's reports will always show Google's perspective, filtered through Google's incentives. Independent measurement — tools that track your citation rate across ChatGPT, Perplexity, Gemini, and Google AI features — gives you the full picture. If you're relying solely on Google's data, you're relying on the company that has a direct interest in making AI Overviews look publisher-friendly.
Prepare for the regulatory ripple effect. The UK CMA's intervention is the first, but it won't be the last. The EU's Digital Markets Act gives the European Commission similar powers. The bipartisan federal AI regulation framework released in the US this week — a 269-page draft from Reps. Obernolte and Trahan — signals that Congress is paying attention. Regulatory pressure on AI transparency will increase, and each new requirement will force Google to disclose a little more. The brands that build AI visibility measurement practices now will be ahead when the next wave of regulation creates the next wave of data.
Read Google's AI optimization guide carefully. The updated guidance is Google telling you exactly what signals its AI features use. Unique content, good page experience, high-quality images and video — these are not new signals, but Google is explicitly confirming that they apply to AI features, not just traditional ranking. This is a validation of the answer-first content approach that underpins modern GEO.
The Bigger Picture
Google's AI performance reports are a milestone, but they're also a Rorschach test. If you're inclined to trust Google, they look like a company giving publishers tools to navigate the AI transition. If you're inclined to be skeptical — and at this point, every publisher should be — they look like a company doing the absolute minimum required by a UK regulator, while carefully avoiding the disclosure of the one data point that would quantify how much traffic AI Overviews are taking from organic results.
The truth is both. Google did build these tools, and they will be useful. Google also built them because it was forced to, and they omit the data that would be most damaging to Google's narrative about AI search being "good for the web."
What's not ambiguous is the implication for brands. AI Overviews and AI Mode are the future of Google Search. Together they reach 3.5 billion monthly users — a number that dwarfs every other AI search surface combined. If your brand isn't visible in these features, you're invisible to the largest AI-mediated discovery surface on the planet. And if you don't measure that visibility — with whatever tools are available, Google's included — you're making strategic decisions in the dark.
The impressions data Google is now showing is a start. The click data Google is hiding is the real story. And the regulatory pressure that made even this partial transparency possible is the reason to believe that more data is coming — not because Google wants to share it, but because someone will force it to.
A billion users are searching without blue links. Find out if your brand shows up when they ask. Run a free AI visibility audit →
Sources
- Google Blog: "New opportunities, control and insights for website owners" (June 3, 2026) — blog.google
- UK Competition and Markets Authority: "CMA secures fairer deal for publishers and improves Google search services in UK" — gov.uk
- Search Engine Roundtable: "Google Search Console AI Performance Report & AI Blocking Controls" (Barry Schwartz) — seroundtable.com
- Google Developer Docs: "Optimizing your content for Google's generative AI experiences" — developers.google.com
- Search Engine Roundtable: "Google Strongly Warns Against Manipulating Mentions For AI" (Barry Schwartz) — seroundtable.com
- Bing Webmaster Tools AI reporting updates — Fabrice Canel, LinkedIn (June 4, 2026)
FAQ
Can I access the AI performance reports right now?
Only if you're part of the initial UK test subset. Google has not announced a timeline for global rollout, though the UK CMA requires full UK availability within nine months.
Do the AI performance reports show click data?
No. The reports show impressions, pages, countries, devices, and date ranges. Google has said it will "introduce additional metrics over time" but has not committed to adding click data.
Will opting out of AI features hurt my regular search rankings?
Google says no — the blocking control "will not be used as a ranking signal for search results outside of these generative AI Search features." However, opting out does mean you lose all visibility in AI Overviews and AI Mode, which collectively reach 3.5 billion monthly users.
Why is this launching in the UK first?
The UK's Competition and Markets Authority (CMA) imposed a conduct requirement on Google's search business, legally requiring Google to provide publishers with AI visibility tools and opt-out controls. The UK is the only jurisdiction with this specific regulatory mandate in place.
What should I do while waiting for these reports to roll out globally?
Invest in independent AI visibility measurement. Track your citation rates across ChatGPT, Perplexity, Gemini, and Google AI features using third-party tools. Build your answer-first content strategy now rather than waiting for Google to give you data that confirms what you already suspect.
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