For the past two years, measuring your visibility in AI Overviews has meant guesswork — manual searches, third-party tools, and a lot of assumption. That's finally changing. Google Search Console is rolling out dedicated AI performance reporting, alongside new AI blocking controls, giving site owners an actual data source for AI search visibility instead of anecdote.
🕔 Update, October 2026: the Generative AI performance reports rolled out to all websites on 31 August 2026, and the shipped version reports impressions only, with no clicks or query data. Early reporting before launch suggested the view would include AI-attributed clicks, and this article has been corrected to reflect the report as it actually shipped. For a fuller walkthrough, including the ranking-versus-citation check worth running now, see our guide to the report as it rolled out.
Why Google Built This
Interestingly, the rollout appears to be at least partly driven by regulatory pressure rather than pure product strategy — reporting connects the new controls specifically to scrutiny from the UK government over how publisher content is used in AI-generated search results. Whatever the motivation, the outcome is genuinely useful for Australian businesses: for the first time, you can see AI-attributed performance as its own reporting category rather than blended anonymously into general organic search data.
📊 Why this matters now: Google's June 2026 guidance also confirmed that spam policies apply directly to AI search — see our breakdown of what that means for legitimate GEO practice. Measurement and policy are moving together, which suggests Google intends AI search to become a fully accountable, trackable surface rather than a black box.
What the New AI Performance Report Shows
The new reporting view shows impressions: how often URLs from your site appeared in AI-generated search features. AI Overviews and AI Mode are combined into a single Search figure, with generative AI features in Discover reported separately, and the data can be broken down by page, country, device and date. It does not show clicks, and it does not show the queries that triggered each appearance.
That is still a meaningful upgrade from the previous situation, where AI feature visibility was folded indistinguishably into your standard organic totals. Being able to isolate it means you can finally answer questions like: is my AI visibility growing or shrinking month over month, and which of my pages are being surfaced in AI answers? What it cannot yet tell you is how many people clicked through as a result.
AI Blocking Controls: What They Mean for Publishers
Alongside the reporting, Google rolled out AI blocking controls to all websites on 31 August 2026 that let site owners specify whether their content can be used in AI-generated search features, independent of standard indexing settings. This distinction matters — you could theoretically remain fully indexed and ranked in traditional search while opting your content out of AI summarisation, or vice versa. For most Australian small businesses, opting out isn't the right call: our guide to getting featured in Google AI Overviews covers why citation there tends to drive high-quality, high-intent visitors even without a click. Publishers with a subscription or ad-impression-dependent business model are the more likely candidates for using these controls seriously.
How to Read AI Traffic Alongside Traditional Organic Data
Because the AI report shows impressions only, the click side has to come from your standard Performance report. The most useful analysis compares AI impressions for each page against that same page's classic clicks over the same period. If AI impressions are rising while organic clicks to the page hold steady or grow, that's a genuinely additive signal — you're gaining visibility without cannibalising existing traffic. If AI visibility rises while clicks to the same page fall, that suggests the AI answer is satisfying searchers before they reach your site, which is a different strategic problem entirely, and one worth discussing with a specialist. For the fundamentals of reading GA4 and Search Console data well, our Google Analytics 4 setup guide and conversion tracking guide are the right starting points.
🔍 Practical tip: run this comparison page by page, not just site-wide. The AI report has no query data, so group pages by the type of search they mainly rank for. AI Overview impact varies enormously by query type — informational and comparison queries trigger AI Overviews far more often than commercial or transactional ones.
Building an AI Visibility Dashboard
Once the new report is available on your property, build a simple recurring dashboard: AI impressions by page (filtered to Australia), classic clicks for the same pages from the standard Performance report, the ratio between the two, and month-over-month trend. Layer this against the manual audit approach we've recommended previously — searching your most important queries in an incognito browser and noting whether you're cited — since Search Console data and manual spot-checks each catch things the other misses.
What to Track Monthly
At minimum, review: which pages are newly earning AI impressions, which previously-surfaced pages have dropped off (and why, if you can determine it), and whether traffic to those pages — measured through downstream conversion behaviour in GA4 — matches or exceeds your standard organic traffic quality. This monthly rhythm turns AI visibility from a vague aspiration into a genuinely measurable, manageable channel.
🚀 DigiWolf approach: we build AI visibility into standard monthly reporting for every SEO and GEO client now that Search Console supports it properly. Book a free session if you want this set up for your own property.
The Bottom Line
Google finally giving site owners real data on AI search performance is a significant step toward treating AI Overviews as an accountable, measurable channel rather than a mysterious black box. If AI visibility has been part of your strategy without a way to actually measure it, this update changes that — set the reporting up, and start tracking it with the same discipline you already apply to traditional organic performance.
