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.

Use a monitoring tool that polls engines on a fixed cadence with consistent prompts, storing full responses for diff and theme analysis over time.

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.

Each engine has its own source-weighting pattern. ChatGPT favors training-data plus retrieval with neutral framing; Gemini leans heavily on the Knowledge Graph and Wikipedia; Claude is conservative; Perplexity favors direct citations.

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.

A dashboard summary, peer comparison, theme trends, source-quality assessment, accuracy concerns, and a prioritized list of interventions. Reporting that does not include intervention recommendations is descriptive, not useful.