Open Generative AI in Search Console
If your property has access you'll find a dedicated Generative AI performance section — separate from the main Performance report. Currently limited to a subset of UK websites, global rollout confirmed.
On 3 June 2026, Google launched dedicated Generative AI Performance Reports in Search Console — the first purpose-built view into how your content appears inside AI Overviews, AI Mode, and Discover's AI features. Here's exactly what the data shows, what it's still missing, and how to use it.
For two years, anyone trying to understand their visibility in Google's AI-powered search features was working from inference. You could see that AI Overviews were appearing for your target queries. You could see your total impressions in Search Console's Performance report. But you couldn't see how much of that impression data came from AI features versus traditional organic results, which pages were being surfaced inside AI Overviews, or whether your generative search visibility was growing or declining.
On 3 June 2026, Google launched dedicated Search Generative AI Performance Reports in Search Console — the first purpose-built view of how websites appear within AI-powered search features. The rollout is currently limited to a subset of UK websites, with a wider global rollout to follow.
For anyone working in search, this is a meaningful step forward. It's also a more limited data set than the announcement might suggest. This article covers what the reports actually contain, what they're still missing, how to access them, and what the data means in practice.
Dedicated views of impressions within generative AI features on Search — including AI Overviews and AI Mode — as well as generative AI features in Discover. This gives you measurement.
A control that lets site owners decide whether their content appears in and grounds AI features at all — giving site owners a kill switch over their AI search presence. This gives you control.
The Generative AI Performance Reports expose five dimensions of data — each offering a different lens on your AI search visibility.
How often URLs from your site appeared inside generative AI features across Search and Discover. The core metric — counts surfacing inside an AI-generated response, not clicks.
A geographic breakdown of your AI visibility. Useful for international sites trying to understand where their AI presence is strongest or weakest. and Devices.
Performance over time with hourly, daily, weekly, and monthly granularity. Report data starts from 18 May 2026, with no historical backfill before that date.
Which specific URLs from your site appeared within AI features. Identifies which content is being picked up by Google's AI systems and which isn't.
The devices people were using when your content appeared in AI features. Available for Search results.
This is the most important thing to understand before drawing conclusions from the data.
There is no click data, no CTR, no average position, and no query-level breakdown. You can see that a URL appeared in an AI-generated response. You cannot see what query triggered it, whether the user clicked through, or where in the AI response your content appeared. This creates a significant limitation for measuring business impact.
Search Labs experiment data is not included in the reports.
Google Discover's AI features get a separate report from the Search report.
Google confirmed this was always included in your overall performance report totals. The new reports are a breakout of existing data — your aggregate impression numbers don't change.
Opting out removes your content from AI-generated answers at a time when AI search is becoming the primary discovery channel for business buyers. Stepping out before you even have click data to justify the decision is a significant strategic risk. The more productive question is how to use the impression data to improve the quality and consistency of your AI-generated appearances.
Publishers whose entire business model depends on click-through traffic. Sites with content they don't want summarised or extracted out of context. Brands with specific concerns about how AI systems are representing their products or services. For most enterprise technology marketers, none of these apply.
Google published data in March 2026 indicating that AI Mode queries average three times the length of traditional searches. These aren't keyword searches — they're multi-part questions with context, constraints, and specific requirements. A buyer asking "which SASE vendor works best for a 500-person financial services company with SOC 2 compliance requirements and an existing Microsoft stack" is expressing far more intent in a single query than any traditional keyword search would capture. Answers in AI Mode draw on multiple sources simultaneously through what Google describes as a "query fan-out" technique — a single user query can surface content from multiple URLs in a single composite response. This changes how you interpret the impression data. Your URL appearing in an AI Mode response doesn't mean you "ranked number one" — it means your content contributed to a synthesised answer alongside potentially several other sources. High AI impression counts aren't necessarily equivalent to high traditional ranking positions. The relevant question is: which queries is your content contributing to, and is your brand being represented accurately and favourably in those responses?
If your property has access you'll find a dedicated Generative AI performance section — separate from the main Performance report. Currently limited to a subset of UK websites, global rollout confirmed.
If traditional organic impressions are flat while AI impressions grow, your content is being picked up by AI systems even as click-through traffic shifts.
Strong traditional impressions but low AI impressions suggests a structured data, entity clarity, or content extractability problem. These are your highest-priority optimisation candidates.
The data goes back to 18 May 2026. Export your current impression numbers by page before any content or technical changes are made — you need a before state to measure any improvement against.
Which pages rank well in traditional search but don't appear in the AI reports? These are your highest-priority optimisation candidates — typically explained by content structure issues, missing schema, or entity ambiguity.
Connect AI impression trends to AI-referred sessions in GA4, conversion rates from those sessions, and branded search volume as a proxy for AI-driven awareness. Together these build a complete commercial picture.
The Pages dimension shows which URLs are being surfaced. Audit them: are they structured with schema markup? Do they contain clear, extractable facts? Are they updated regularly? Build from what's already working.
Without click or query data, the absolute impression number is hard to benchmark. Focus on direction — is your AI impression share growing or declining week on week, and is it outpacing traditional organic?
Together with the May 2026 Core Update, these reports make one thing clear: search visibility is no longer just about ranking positions and clicks. It is increasingly about how content is evaluated, surfaced, and cited across both traditional and AI-driven results.Google giving Search Console its own AI reporting infrastructure is the formal acknowledgement of something that's been true in practice for two years: AI Overviews and AI Mode are distinct channels, not extensions of traditional search. They have different content requirements, different citation patterns, and different metrics.The brands that treat this as a new measurement problem — rather than a confirmation of what they should already have been building toward — are the ones who will close the gap fastest. The impression data is now there. The question is what you do with it.
No — the new Generative AI Performance Reports sit alongside the existing Performance report, not in place of it. Google confirmed the AI impression data was always included in your overall performance totals. The new reports create a dedicated view of that data, making it easier to separate AI-driven impressions from traditional organic ones.
Google hasn't included click, CTR, or query data in the initial rollout. This is the most significant limitation of the current reports. Without click data, you can see that content is being surfaced in AI features but not whether it's driving traffic. Google hasn't confirmed when or whether click data will be added.
For most enterprise technology brands, no. Opting out removes your content from AI-generated answers at a time when AI search is becoming the primary discovery channel for business buyers. The circumstances where opting out makes sense are specific — primarily publishers whose business model depends entirely on click-through traffic.
The rollout is currently limited to a subset of UK websites. Check Search Console monthly — Google has confirmed a wider global rollout is coming. In the meantime, track AI-referred traffic in GA4 using source filters for perplexity, chatgpt, gemini, and claude as a proxy for your broader AI search performance.
AI Mode queries average three times the length of traditional searches and draw on multiple sources simultaneously through Google's query fan-out technique. A single AI Mode response can surface content from multiple URLs. Your impressions in AI Mode reflect your content contributing to a synthesised answer — not necessarily holding a single ranking position.
Focus on trends over absolute numbers — is AI impression share growing week on week? Cross-reference with GA4 AI-referred sessions, branded search volume, and conversion rates from AI-referred traffic. Together these give a reasonable picture of whether AI visibility is translating into commercial value, even without native click data in Search Console.