Measuring AI Mentions
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How do you build an AI reputation monitoring dashboard?
Track sentiment, source quality, theme distribution, peer comparison, and trend over time. AIQ is built specifically for this - pulling daily across multiple engines into a single dashboard.
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How do different AI models – ChatGPT, Gemini, Claude, Perplexity – differ in how they talk about brands?
Each engine has its own observed source-weighting pattern. ChatGPT tends to favor training-data plus retrieval with neutral framing; Gemini tends to lean on the Knowledge Graph and Wikipedia; Claude tends to be conservative; Perplexity tends to favor direct citations.
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What is AI narrative monitoring?
Regularly polling AI engines with defined prompts about a brand, recording the responses, and analyzing themes, sources, and sentiment over time. It is the foundational diagnostic discipline for AI reputation work.
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How frequently should you monitor AI outputs about your brand?
Daily for high-profile brands or active situations. Weekly for established brands. Monthly baseline checks with quarterly full audits as a minimum standard.
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How do you compare your AI reputation to competitors?
Run identical prompts on the same engines for each peer, then compare sentiment, theme distribution, source citations, and prominence. The methodology has to be controlled for the comparison to mean anything.
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