Guide

Search Console's Generative AI Report: How to Benchmark Your AI Overview Impressions

Lots of AI Overview impressions and no clicks is normal. Here is how to turn the report into a number you can track.

The Measure TeamUpdated 8 min read
Key takeaways
  • Search Console's generative AI report counts how often your URLs appeared in AI Overviews, AI Mode and Discover's AI features, by page, country, device and date.
  • It shows impressions, not clicks. Seeing hundreds of thousands of AI impressions and no click data is normal.
  • AI impressions are also inside your normal Performance totals, so you can compute an "AI impression share" for any page or period.
  • There is no public benchmark for what a good share is yet. Compare yourself against your own history and your own page groups instead.
  • Pair the report with GA4 AI-referral traffic and an AI answer tracker to see the other half: which prompts cite you and whether it leads to visits.

What the report shows

Google announced Search Generative AI performance reports on the Search Central blog on June 3, 2026, rolling them out to a subset of sites first. They give a separate view of how often your site appears inside generative AI features.

QuestionAnswer
Which features?AI Overviews and AI Mode in Search, plus generative AI features in Discover
What is an impression?A URL from your site appearing inside a generative AI feature
BreakdownsPages, countries, devices (Search only) and dates, at hourly to monthly granularity
Clicks, CTR, queries?Not part of the announced report
Double counting?If a URL appears in both an AI Overview and a blue link on the same results page, Search Console records one impression (per Google's John Mueller)
Also in normal totals?Yes. The AI view is a separate cut of data that is included in the overall Performance report

Sources: Google Search Central blog, PPC Land.

Why you see impressions but no clicks

This is the most common question about the report. One site owner on r/SEO reported 527,000 AI Overview impressions over three months with no click or CTR column and asked whether something was broken. Nothing was: the report simply does not include clicks. Google's AI features documentation says clicks from AI features are reported in the standard Performance report, mixed in with other Search clicks rather than separated out.

So the report answers "is Google using my pages in AI answers, and which ones?" It does not answer "is that sending me traffic?" For that, see how to measure the ROI of AI search.

Is my number good? Build your own benchmark

Honest note
At the time of writing, nobody has published cross-site benchmarks for this report, including us. Any "average AI Overview impressions" figure you see should come with a sample and method. Until those exist, your own baseline is the most useful comparison.

The metric: AI impression share

For any set of pages and dates: AI impression share = AI feature impressions ÷ total Search impressions. Because AI impressions are included in the total, this gives a share between 0% and 100% of your Search visibility that came through AI features. Keep dates and pages identical on both sides.

How to calculate it

  1. In the generative AI report, filter to Search (not Discover), set a 28-day range and export impressions by page.
  2. In the standard Performance report, use the same dates and export impressions by page.
  3. Join the two exports on URL in a spreadsheet and divide AI impressions by total impressions for each page.
  4. Group pages by type (blog posts, product pages, category pages, docs) and sum each group before dividing.
  5. Repeat monthly. The trend matters more than any single figure.

A worked example (illustrative numbers)

Page groupAI impressionsTotal impressionsAI share
How-to guides40,000100,00040%
Product pages3,00060,0005%
Category pages1,00050,0002%
Invented round numbers to show the calculation, not real benchmarks.

In this example Google is drawing on the guides heavily and barely using product pages. That points to the next question: when a buyer asks a product question, which sources does the AI Overview use instead of yours?

What to do with the data

  • Pages with high AI share and falling clicks: Google answers from your page without needing the click. Make sure the page gives a reason to visit (a tool, pricing, data, a comparison) beyond the answer itself.
  • Important pages with near-zero AI share: check they answer the question in the first paragraph, in plain text, rather than in images or scripts.
  • Sudden week-on-week drops: compare with Google's announced changes before assuming you did something wrong. AI features change often.
  • Country and device splits: AI features do not roll out evenly, so compare markets separately.

What the report can't tell you

  • Which queries triggered the AI feature.
  • Whether you were cited as a source link or only used in the text.
  • Anything about ChatGPT, Perplexity, Claude or Gemini outside Google Search.
  • Whether AI impressions led to visits or revenue.

Those gaps are why most teams pair Search Console with GA4 AI-referral tracking and a tool that records the actual AI answers for their buyers' prompts. See the best AI search visibility tools and which AI search statistics to trust.

Frequently asked questions

What does the Search Console generative AI report show?

How often URLs from your site appeared in generative AI features: AI Overviews and AI Mode in Search, and AI features in Discover. It breaks impressions down by page, country, device and date. Google announced it on June 3, 2026.

Why does the generative AI report show impressions but no clicks?

The report only includes impressions. Clicks from AI features are counted in the standard Performance report under the Web search type, mixed in with other Search clicks.

What is a good number of AI Overview impressions?

There is no public benchmark yet. Compute your AI impression share (AI feature impressions divided by total Search impressions for the same pages and dates), group it by page type, and track the trend month to month.

Written by The Measure Team

We build Measure, a self-serve platform that tracks how AI engines describe and recommend brands, and connects that visibility to real traffic and revenue. Everything here is written from what we see in the data every day.

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