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 benchmark your AI reputation against competitors?
Run identical prompts on the same engines for each peer, then compare themes, source attribution, sentiment, and prominence in the responses. Without identical prompts, the comparison is not meaningful.
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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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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.
