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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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 measure the ROI of AI reputation management?
Against pre-defined goals: improvement in narrative sentiment, accuracy, source quality, and prominence, with correlation to business metrics like recruiting funnel, deal pipeline, and IR meetings over time.
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How do you track changes in AI narratives about your brand over time?
Use a monitoring tool that polls engines on a fixed cadence with consistent prompts, storing full responses for diff and theme analysis over time.
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How do you test AI responses about your brand across different prompts?
Vary user intent (research, comparison, recommendation), prompt phrasing, and personas. Themes that hold across many prompt variations indicate stable AI narratives; themes tied to specific phrasings indicate prompt-sensitive ones.
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What tools exist for monitoring AI narratives?
AIQ is built for AI reputation tracking. Profound, Peec, Otterly, and BrandRank are GEO visibility tools. The categories differ in what they measure and which team they serve.
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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.
