Google Search Console Now Reports AI Feature Performance: What Growth Teams Must Do First

The Attribution Gap Is Closing

Growth teams running search have been working blind in one critical area: generative AI surfaces. Classic organic click and impression data has always been available in Search Console, but there has been no way to separate what Google's AI-powered features were doing with your content, until now.

Google has published new AI-feature performance reports inside Search Console, giving site owners measurable visibility data for how their pages appear and perform within generative AI search experiences. You can read the full details in the official Google Search Central announcement on gen AI performance reports.

What Has Actually Changed

The reports surface impressions and clicks attributed specifically to AI-powered search features, segmented away from traditional organic results. That separation is the significant part. For the first time you can see whether a page is being pulled into AI-generated answers and whether users are clicking through from those surfaces.

This is not an estimate or a third-party inference. It is first-party Google data, which means you can build a business case on it, set targets against it, and defend it to a CFO without caveats.

Why This Matters to Your Growth Team

Three things become possible that were not possible before.

Attribution for GEO investment. If you have been spending resource on generative engine optimisation without being able to show returns, this data gives you the evidence layer. Impressions in AI features are now a reportable KPI.

Content gap identification. You can now cross-reference pages that rank in classic organic against pages appearing in AI features. Where you show up in one but not the other, you have a clear content or signal gap to address. That is the kind of prioritisation matrix that turns a backlog into a roadmap.

Revenue mapping. Align AI-feature performance data against your top-revenue pages immediately, before traffic patterns shift and your baseline becomes meaningless. Understanding which high-value pages are absent from AI surfaces is, arguably, the most urgent commercial insight search teams have had in years.

For broader context on how AI surfaces are reshaping traffic mechanics, see my earlier piece on how AI Overviews will change SEO across five key dimensions in 2026.

Three Actions to Take This Week

1. Get on the rollout. Access is being expanded over time. Check your Search Console account now and request early access if the AI performance report is not yet visible in your property.

2. Baseline before it gets noisy. Pull your first export as soon as the data is available. Early readings, before you make any changes, are your control. Do not skip this step.

3. Map AI visibility to revenue pages. Take your top twenty pages by revenue or conversion and check their AI-feature impressions. Pages with strong classic organic visibility but zero AI-feature impressions are your first optimisation targets.

The Broader Signal

Google giving site owners this level of granularity is not accidental. It signals that AI-powered search features are now a stable enough surface to warrant formal measurement infrastructure. That is the green light to treat GEO as a distinct, measurable channel rather than an experimental side project.

The teams that establish clean baselines now and build reporting frameworks around this data will be substantially ahead by Q4. The full technical documentation is available on the Google Search Central blog. Read it, then act on it.

If you are also tracking how CTR shifts in AI-powered results connect to Google's decision to show or suppress Overviews, my analysis of the 61% CTR drop and Google's hidden AI strategy adds useful context to what you will see in these new reports.