More buyers start in ChatGPT or an AI Overview than a page of blue links. AI Visibility measures how those answers portray you, with evidence, not guesswork. It's a built-in feature, not an add-on.
A check probes seven AI answer engines with the questions your customers actually ask, and measures whether you appeared, how prominently, and in what tone. Engine model versions are managed on the platform side, so your checks track current models without app updates.
Engines fail, time out, and have bad days. When that happens the result is excluded from your score rather than counted against you, and a partially-complete check says so. Your score only ever reflects what was actually observed.
Each run adds a point to your history, visibility, sentiment, share of voice over time, and produces prioritized recommendations for closing the gaps it found. The same figures power always-on reports in Live Insights.
Answer-engine optimization: making sure your brand shows up, accurately and positively, when buyers ask AI answer engines questions instead of searching a list of links.
Seven: ChatGPT, Gemini, Claude, Perplexity, Grok, Google AI Overviews, and Microsoft Copilot. Model versions are kept current on the platform side.
No, it's a built-in feature. Run a check from a session, and the results flow into Live Insights alongside the rest of your reporting.
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