FullReach AI is an AI search visibility tool that tracks brands daily in ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overviews.
A visibility number is only worth as much as the way it was collected. This is ours.
FullReach AI asks each prompt separately on every platform once a day, in each of its markets and in the language you write it in. It samples nothing, translates nothing and shares nothing between answers.
We ask each question in a fresh session, with no chat history and no personalization. An answer therefore reflects what the model tells a stranger who asks for the first time. It does not reflect what the model learned from our earlier questions. The question is your wording, plus the sentence of the persona you attached to it. The answer page shows that sentence.
Platforms update their default models without announcing it. When a platform names the model behind an answer, we record it. You can then tell a change in your visibility from a change in the tool that measures it. Google's AI Overviews and AI Mode name no model.
A market is a country, or Worldwide. Results from different markets stay apart, because the same question genuinely has different answers in different places.
We compute every metric from stored answers. FullReach AI stores every answer for as long as the account exists, and no plan limits that history. Each metric opens into the response it came from: the platform, the prompt, the wording and the sources cited. The response also shows the web searches the platform ran, where the platform reports them.
We recommend only what published evidence supports, and we say how strong it is. Most of these studies come from companies that sell a fix, and most measure a correlation across many brands. We recommend no llms.txt file, no schema markup for AI and no statistics added for show: we found no evidence that they move an answer.
The platforms say it themselves. A site that blocks OpenAI’s search crawler is not shown in ChatGPT search answers, and Perplexity’s crawler is how a site reaches its results.
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Across studies, mentions on other people’s sites track AI visibility more closely than any on-page change. AI search engines lean on earned, third-party sources far more than on a brand’s own pages. The link is a correlation, measured across many brands, not a test of one.
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A brand’s place in the best-of lists an engine cites tracks its place in the answer. A few placements on the lists the engines actually read beat many elsewhere.
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YouTube mentions track visibility on Google’s AI answers more closely than any other factor measured. The engines cite long-form videos that answer the question, not the most viewed ones.
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Engines search again before they answer, for prices, features and comparisons. ChatGPT finds a third of the pages it cites only through those follow-up searches, so it can find a page that answers them.
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Engines prefer the source that answers a question in detail over one that declines to. A clear, specific page that meets an objection gets read.
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Some engines cite forums heavily, and on others their share swings from month to month. Nobody has shown that a brand taking part moves an answer.
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A product card lists the stores that sell the product. We found no study that tests whether a new store listing, or a new product page, wins a card. The counts under each Action are ours. The effect is not measured.
We could not tell what these sites are. Open one and judge whether there is anything to do.
There is no tracking script, no tag and no change to your pages. Measurement runs against the answers the models give. Agent Analytics reads your GA4 and your site's logs only when you connect them.
The product reports where you appear, who appears instead of you, and which sources those answers drew on. It turns what the answers cite into Actions: a register to apply to, a list to be added to, a crawler to let in. Each one names its evidence and how strong that evidence is. You do the work.
Whether an answer changes is the model's decision. Answers vary by the nature of these systems, which is exactly why they are worth measuring daily rather than once.
How this compares with other tools: Peec AI, Otterly AI, Profound, Semrush AI Visibility, Ahrefs Brand Radar, Promptwatch, Searchable, Scrunch, Evertune, Rankscale and AthenaHQ.