Brand Mention Tracker in Google Gemini

Why per-engine mention tracking matters

Your buyers do not consult an "AI engine" in the abstract — they open Gemini, ask a buyer-intent question, and read what comes back. Whether Gemini mentions your brand at all, where you appear in the answer, and how it frames you compared with competitors decides whether you make the shortlist. A single number averaged across ChatGPT, Gemini, Claude, and Perplexity hides this surface, because each engine answers a different question.

Gemini grounds on its own mix of training data, retrieval sources, and recency signals. A page that is cited daily by ChatGPT may be invisible in Gemini, and the reverse is just as common. The only way to know where you stand is to query Gemini directly, on the prompts your buyers actually ask, and watch the result over time.

What you see inside Lumos after signup

The preview at the top of this page is the real Lumos Gemini slice, rendered with our own brand data. Once you sign up you see the same view on your own domain:

• Visibility score (0–100) weighted by how often Gemini cites you, your rank when cited, and the buyer-intent weight of each prompt.
• Seven-day trend so you can see whether Gemini is starting to cite you more, less, or the same week-over-week.
• Mentions count — the raw number of Gemini responses that included your brand across all your tracked prompts.
• Top prompts — the specific buyer queries where Gemini cites you, with your rank in the answer and the date of the most recent run.

A click on any prompt opens the raw Gemini response with your brand highlighted, the competitors Gemini also cited, and the cited sources. That last piece is the one that drives the content roadmap.

How Lumos generates this data

Lumos sends each tracked prompt to Gemini on a daily cadence using its public API surface, parses the response, and extracts brand mentions, ranks, and cited URLs. We deduplicate near-identical responses, normalize brand names against a known entity list, and store every response so you can audit history. No scraping, no proxies — just the same API you would call yourself, run on a schedule and structured for monitoring.

Common questions and caveats

Why is my Gemini score different from my ChatGPT score? Because Gemini draws on different sources. A high-authority page on your site may be missing from Gemini's retrieval set even if it is loved by ChatGPT. This is exactly the kind of gap a per-engine view exposes.

Does Gemini hallucinate brands? Occasionally, yes — and Lumos flags single-occurrence mentions so you do not chase noise. Themes only matter when they appear across multiple prompts.

Can I track non-branded prompts? Yes, and you should. Branded prompts always mention you; the real test is whether Gemini surfaces you when the buyer types a generic category query.

Next steps

• Run this view on your own brand: sign up and add your three most important prompts.
• See the full multi-engine picture: Multi-LLM Brand Visibility Comparison.
• Read the strategy: What is GEO? and How to appear in ChatGPT.