Gemini visibility tracker: who Google Gemini recommends, and which grounded sources decided it

A Gemini visibility tracker records, for each question a buyer might ask, whether Google Gemini names your brand, whether it recommends you or only lists you, and which grounded sources it cites while answering. Gemini grounds most answers in a Google search it runs itself, so the sources it surfaces are what decided the answer. Answer Radar stores the answer text, the cited URLs with their owner and position, and the searches Gemini ran, and measures the same prompts on ChatGPT, Perplexity and Claude so the four engines are comparable.

Ask three things of every vendor. First, does it store the cited URLs per answer per run, or only a mention count; a count cannot tell you which page to fix. Second, does it run the prompt with no account, no memory and no system prompt, and will it show you the raw answer so you can reproduce it yourself; one practitioner in r/SEO_tools_reviews lost trust in the category after a tool reported a mention that a fresh Gemini session did not repeat. Third, does it measure the other engines on the same prompt set, because a page Gemini cites is often untouched by ChatGPT. Answer Radar publishes its own numbers on this page so you can hold it to the same test.

Invest in one only if it changes a decision. In our 20 customer-project Gemini answers to 2026-09-04, the customer was recommended in 9 and a competitor alone in 2, which is the most generous outcome of the four engines we measure. If Gemini already recommends you on the prompts that matter, a tracker earns its cost by catching the drift; if it does not, the tracker earns it by naming the cited page that put the competitor there. Either way the useful output is a page to change, not a score to watch.

Spread thin and skewed to vendors. Across 96 citations in 20 customer-project answers, 74 distinct domains appeared and none was cited in more than 20% of answers; the leader was salesforce.com (20%), followed by a long tail of vendor sites at 11x.ai (10%), aloware.com (10%) and apple.com (10%). Reddit appeared in 1 citation, which matches the near-zero Reddit share for Gemini that practitioners in r/DigitalMarketing reported from Tinuiti data. Gemini reads the vendor's own site more readily than the other engines do, which cuts both ways.

Because grounding and citing are separate steps. In our 62 completed Gemini answers it searched the web in 93.5% but surfaced a citation in only 56.5%, the widest gap of the four engines. Perplexity cited in every answer it searched. When Gemini grounds silently, the answer was still shaped by pages you cannot see in the response, which is why Answer Radar records the searches it ran as well as the citations it showed.

Not yet on this page. AI Overviews and AI Mode run on Gemini models, but they are a different surface with different retrieval, and Google's own announcements at I/O 2026 merged the two into one flow inside Search. Answer Radar is adding Google AI Overviews as its own measured engine; until that page carries run data, treat Gemini results as related evidence, not as an AI Overviews measurement.

It is part of Answer Radar, included with the Compete plan at $99 a month, with no per-engine or per-citation charge. Runs draw on a monthly credit allowance shown in the app, and the same plan carries the weekly competitor brief and demand intelligence. One Gemini check per question is free on this page, with no account.