How it works
You add a buyer question and optional brand name. UpSearch runs same question across configured providers and scores mention quality by what came back in response.
This is useful because answer-engine visibility is often query-shaped, not site-wide. One strong mention on one question does not mean broad coverage everywhere.
- Track up to 10 saved questions per site
- Run checks across ChatGPT, Claude, Gemini, and Perplexity when configured
- Store latest result per tracked question
- See quality labels: top recommendation, solid mention, weak mention, not mentioned
What it helps you answer
AI Mention Tracker turns vague AI visibility talk into specific monitoring questions.
- Which buyer questions mention our brand now?
- Which providers never mention us?
- Are we only showing up on branded recall, or also unbranded buyer questions?
- Did mention quality improve after page, schema, or proof updates?
How to use results
Use tracker with AI Visibility Toolkit. If mention score is weak, first fix access and structure. Then improve pages closest to relevant question intent with clearer definitions, comparisons, FAQs, and proof.
This keeps recommendation loop evidence-led instead of turning every mention miss into random content production.
What counts as evidence here
Result is based on actual provider response text returned at check time. UpSearch stores provider-level mention outcome, excerpt, and score. It does not infer success from impressions, and it does not pretend missing mention equals blocked access by itself.
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Frequently asked questions
Does this track all AI providers automatically?
It checks whichever providers are configured in your environment. In a fully configured setup that includes ChatGPT, Claude, Gemini, and Perplexity.
Does a mention mean referral traffic?
Not necessarily. A mention is evidence of presence in the answer. Traffic still depends on query intent, citation links, and user behavior.
How should I pick questions?
Use real buyer questions, high-intent comparisons, service selection questions, and one branded recall question for baseline tracking.