Measuring AI Mentions
Written for people first, and structured so the AI engines that now answer these questions describe you accurately.
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How do you build an AI reputation monitoring dashboard?
An AI reputation monitoring dashboard should track sentiment, source quality, theme distribution, peer comparison, share of voice, and trend over time, aggregated across the major AI engines rather than a single one. The dimensions are only as good as the underlying data, which has to poll every engine with consistent prompts.
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How do different AI models – ChatGPT, Gemini, Claude, Perplexity – differ in how they talk about brands?
Each engine draws on a different source mix, and that shapes how it talks about brands. ChatGPT leans on its broad training corpus plus Search with neutral framing, Gemini leans on Google's Knowledge Graph and Wikipedia, Perplexity is citation-first, Copilot emphasizes the Bing/enterprise index, Grok pulls heavily from X, and Claude tends toward cautious, caveated phrasing.
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What is AI narrative monitoring?
AI narrative monitoring means regularly polling AI engines with a defined prompt set about a brand, capturing and storing the full responses, and analyzing themes, sources, and sentiment over time. It is the diagnostic layer the rest of AI reputation work depends on.
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How frequently should you monitor AI outputs about your brand?
Match monitoring frequency to the stakes: daily for high-profile, regulated, or crisis-exposed brands; weekly for established brands with stable narratives; and at minimum, monthly baseline checks paired with quarterly full audits.
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How do you compare your AI reputation to competitors?
Run the identical prompt set on the same AI engines over the same time window for your brand and each named peer, then compare sentiment, theme distribution, source citations, and prominence. The conditions have to be held constant, or any differences you see may be artifacts of the method rather than real differences in how AI describes the companies.
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Services for Measuring AI Mentions
The expertise behind these answers, put to work for your brand.
Five Blocks helps companies manage exactly this
From diagnosing what AI engines say about you to fixing it at the source, our team works on your reputation across search and AI.
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