Track AI Overviews by combining Search Console data, an AI Overview tracking tool and manual spot checks on your key queries.
To track AI Overviews, combine three sources: Google Search Console for the clicks and impressions Google already counts, an AI Overview tracking tool for which queries trigger an overview and whether you’re cited, and manual spot checks on the queries that matter most to your business. No single source gives you the full picture yet, so the job is to join them up.
AI Overviews now sit above the organic results for a large share of informational searches. A page can rank third and get very few clicks because the overview answered the question first. Or it can be cited in the overview and win visibility it would never get from position six.
That’s why rank tracking on its own no longer tells you how you’re doing. You need to know when an overview appears, whether you’re in it, and what that does to traffic.
What you can and can’t see in Google Search Console
Search Console counts AI Overview appearances in your normal performance data, but it doesn’t separate them out by default. Google’s guidance is that sites shown in AI features are included in the overall Search traffic figures in the Performance report, under the Web search type.
Here’s how Google counts them:
- Impressions: your link counts as an impression when it’s visible in the overview, in the same way as a normal result.
- Clicks: a click on a link inside the overview counts as a click to your page.
- Position: all links in an overview share one position, the position of the overview on the page.
In June 2026 Google started testing separate Search generative AI performance reports, which show impressions, pages, countries, devices and dates for AI features. They’re rolling out to a subset of sites first and don’t show clicks yet. If you have access, use them. If you don’t, the workaround below still works.
How to track AI Overviews step by step
The process below works for any site and only needs Search Console plus one tracking tool.
- Build a query set. List 50 to 200 queries that matter to your business: your main service terms, the questions customers ask before they buy, and comparison searches. Group them by topic.
- Find which queries trigger an overview. Use a rank tracker that records SERP features, such as Ahrefs, Semrush or a dedicated AI Overview tracker. Filter for keywords where an AI Overview appears.
- Record whether you’re cited. For each query with an overview, note whether your domain is linked, which page is cited, and which competitors appear alongside you.
- Match it to Search Console. Export the same queries from the Performance report. Look for queries where impressions are steady or rising but click-through rate has dropped. That pattern often points to an overview taking the click.
- Spot check by hand. Search your top 10 queries in a clean browser window each month. Overviews vary by location, device and phrasing, so screenshots help you see what users actually see.
- Report it monthly. Track the share of your query set that triggers an overview, the share where you’re cited, and how both change over time.
Which metrics to report on
Report on citation share first, then traffic. Clicks alone will undersell AI Overviews, because a lot of their value is in being the source the user sees.
A simple monthly scorecard should include:
| Metric | What it tells you | Where it comes from |
|---|---|---|
| Overview rate | Share of your tracked queries that show an AI Overview | Rank tracker |
| Citation rate | Share of those overviews that link to your site | Rank tracker or manual checks |
| Competitor citations | Who gets cited when you don’t | Rank tracker or manual checks |
| Clicks and CTR on overview queries | Whether visibility turns into visits | Search Console |
| Enquiries from organic search | Whether visits turn into business | Analytics and CRM |
If you want a wider view than one Google feature, our guide to search visibility explains how to build a fairer scorecard across classic and AI results.
How to act on what you find
Tracking only pays off if it changes what you do. Once you know which overviews cite competitors instead of you, compare their cited passages with your page on the same topic.
Usually the gap is one of these:
- Their page answers the question in the first two sentences and yours doesn’t.
- Their section headings match the sub-questions the overview covers.
- Your page isn’t indexed, isn’t eligible for a snippet, or is blocked from crawling.
- They have more mentions on trusted sites, so Google is more confident citing them.
For the fixes themselves, see how to optimise for GEO, AI Overviews and LLMs and our explainer on what Google AI Overviews are.
If you’d like us to set up AI Overview tracking for your site and show you where you’re being cited, our AI SEO team can take you through it in a free strategy session.
Related reading: our guides to SEO monitoring and ranking in AI Overviews.
Common questions
Does Google Search Console show AI Overview data?
Yes, but mixed in with normal results. AI Overview impressions and clicks are counted in the Performance report under Web search, and Google is testing separate generative AI reports with some sites.
How does Google count position in AI Overviews?
Every link inside an AI Overview gets the same position, which is the position of the overview itself on the results page.
Which tools track AI Overviews?
Most major SEO platforms, including Ahrefs and Semrush, now record when an AI Overview appears and which sites are cited. Dedicated AI visibility trackers also cover ChatGPT, Gemini and Perplexity.
How often should I check AI Overviews?
Automated tracking can run daily or weekly. A monthly report with manual spot checks on your top queries is enough for most businesses.
