Measuring AI Mentions
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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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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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