Gemini Visibility Tracker, kept separate from Google's other answers
A Gemini visibility tracker records whether Google's Gemini assistant names your brand when buyers ask it for recommendations. Gemini is not the same surface as Google AI Overviews or AI Mode: they are three Google products that answer independently and regularly name different brands for the same question, so a single Google score hides more than it tells you.


The AI answer engines Koalr monitors for your brand
Three Google surfaces, three different answers.
Google speaks with three different voices
Gemini, AI Overviews and AI Mode are separate surfaces. Treating them as one Google number averages away the case that matters: the surface where you have quietly stopped being named.
It is a destination, not a results page
People open Gemini to ask, the way they open any assistant. There is no list of blue links underneath to rescue a brand the answer left out, so presence in the answer is the whole outcome.
It sits inside tools people already use
Gemini reaches buyers through Google's own products as well as its app. That makes it easy to under-count and easy to ignore, right up until a competitor becomes the name it offers by default.
What Gemini drew on for one brand: reference works and established editorial, with community discussion well down the list.
Getting named by Gemini.
The first job with Gemini is not optimisation, it is measurement: separate it from AI Overviews and AI Mode before drawing any conclusion about how Google treats you. Teams routinely report a healthy Google picture while one of those three surfaces has quietly stopped naming them, because the average hid it.
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Track the three Google surfaces separately. A blended Google score is the fastest way to miss the one that turned.
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Compare where they disagree. A question answered well by AI Overviews and badly by Gemini usually points at a source gap rather than a site problem.
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Strengthen the pages Google already trusts for your category, including the ones you do not own.
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Check the questions with commercial intent more often than the informational ones. Those are where being unnamed actually costs money.
No. AI Overviews is the summary above Google's search results. Gemini is Google's standalone assistant. AI Mode is a third, conversational surface inside Search. All three answer independently and can name different brands for the same question, which is why Koalr tracks them as separate engines rather than merging them into one Google score.
Enter your domain in the checker on this page. Koalr reads your site, works out your category, writes three questions a buyer would actually ask, and puts them to Gemini. You get back whether you were named, whether your site was cited, and which brands were recommended instead.
Usually because the material Google draws on for that question does not discuss you. Ranking in classic search helps but does not decide it: a page can inform the answer without your company being named in it, and a competitor with weaker rankings can be the one recommended.
No. Search Console reports clicks and impressions from the results page. It says nothing about whether an assistant named your brand, how it described you, or which pages it used. That gap is the reason a separate tracker exists.
Weekly for the questions tied to revenue, monthly for the wider category set. Daily checking mostly records noise, because answers vary by wording and session. The signal worth acting on is a sustained change across a fixed prompt set.
One engine is a sample, not a score.
ChatGPT Visibility Tracker
See who it recommends before you.
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Perplexity Visibility Tracker
See the pages it cited to decide.
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Claude Visibility Tracker
See the shortlist the others miss.
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Koalr vs Otterly.ai Gemini and Google AI Mode are $59 add-ons on Standard.
Koalr vs Semrush AI Toolkit $99 a month per domain, billed annually, for 25 prompts.
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