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, with consistent prompts, multiple engines, stored responses, and peer comparison, distinct from visibility tools built to measure presence rather than narrative.