Features · Engine tracker

Gemini visibility tracker

Gemini answers product questions for everyone inside Google's surfaces, and its picks routinely differ from ChatGPT's. CiteGraph tracks whether Gemini names you: the same buyer questions, repeated grounded runs, verbatim answers, and a margin on every number.

How tracking works

CiteGraph asks your category's real buyer questions 3 to 5 times per run on each of 4 engines on Starter and Growth, stores every answer verbatim, and prints a margin of error on every rate. The per-engine view shows where this engine agrees with the others, and where it doesn't, which is usually the finding.

What’s specific to Gemini

Google's retrieval, not Google's rankings

Ranking #1 in Google search does not put you in Gemini's answer: grounding retrieval and answer synthesis choose differently. Measuring the answer is the only way to know.

The disagreement engine

In our measured category boards, Gemini's top-5 overlaps ChatGPT's by as little as 2 of 5. If you track one engine, Gemini is the one most likely to be quietly telling a different story.

Sources with resolved redirects

Gemini grounding wraps citations in redirect URLs; CiteGraph resolves them so your source list credits the real page, not a proxy host.

All four engines
ChatGPT visibility tracker →Perplexity visibility tracker →Claude visibility tracker →Full methodology →

Common questions

How do I track my brand in Gemini?+

CiteGraph runs your category's buyer questions through Gemini with grounding, several times per question weekly, and reports your named and cited rates with margins, alongside the verbatim answers so you can audit every number.

Why does Gemini recommend different products than ChatGPT?+

Different retrieval, different sources, different synthesis. Our own category measurements show top-5 overlap as low as 2 of 5 between them, which is why per-engine tracking exists.

Said in public

“This is what a useful audit tool should do: make the next move obvious”

See it on your own domain.

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