What is AI narrative monitoring?
Regularly polling AI engines with defined prompts about a brand, recording the responses, and analyzing themes, sources, and sentiment over time. It is the foundational diagnostic discipline for AI reputation work.
AI narrative monitoring is to AI reputation what media monitoring is to PR: the continuous diagnostic layer that the rest of the work depends on. The operational pattern is structured: a defined set of prompts (the brand, key executives, products, themes, peers), polled against the eight major engines on a daily cadence, with the full response captured and stored. The analytical layer extracts themes, classifies sentiment, identifies the sources each engine is citing, and tracks the trajectory over time. Without that diagnostic layer running continuously, source-level work is guesswork – the team has no way to know which interventions are landing in which engines, or to catch drift early enough to act. AIQ™ is built specifically for this discipline, and most of our advisory work runs on top of its data.
Last reviewed: 19/05/2026