Measuring AI Mentions
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What is an AI narrative audit and what does it cover?
AI responses across major engines, the sources cited, recurring themes, sentiment per engine, peer comparison, accuracy gaps, and a prioritized list of interventions to shift the narrative.
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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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