How do you monitor what AI models say about your brand?

Monitoring what the AI engines say about a brand requires purpose-built tooling, because the answers are generated fresh, vary by engine, and drift over time, so a one-off screenshot tells you almost nothing. The method is to poll the major engines – ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode – on a regular cadence using a consistent set of prompts, so the responses are comparable across time and across models rather than dependent on how a question happened to be phrased. The full responses are stored, building the history needed to see the narrative move and to catch drift after a model update or a shift in sourcing. Benchmarking against peers puts the results in context, since reputation in the engines is relative. Consistency is the whole game: without fixed prompts and a regular cadence, you cannot tell a real narrative change from prompt noise. We built AIQ™ for reputation monitoring of this kind – consistent prompts, multiple engines, stored responses, peer comparison – distinct from visibility tools built to measure presence rather than narrative.