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 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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How do you audit what AI says about your company?
An AI audit polls each major engine with a defined prompt set about the brand, executives, and topics; categorizes themes and sources; benchmarks against peers; and flags accuracy gaps and risk areas.
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What is AI share of voice and how do you measure it?
The proportion of AI responses on a topic in which the brand is mentioned or cited, compared to peer brands across the same prompts and engines.
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What is an AI sentiment score?
A measure of whether AI responses about a brand skew positive, neutral, or negative across engines and prompts, typically aggregated by topic, theme, or peer comparison.
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Why monitor multiple AI models rather than just one?
Single-model monitoring misses critical variation. Different engines tend to cite different sources and frame brands differently. Multi-model monitoring gives a representative picture of AI reputation overall.
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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.
