What is an AI narrative audit and what does it cover?

An AI narrative audit produces a structured read of where the brand stands across the engines and what to do about it. The sections are consistent: full responses across the eight major engines for a defined prompt set; source attribution showing which sources each engine is citing for the prompts that matter; theme analysis identifying the recurring framings the engines apply; sentiment classification per engine and aggregated; peer comparison against a named set running the same prompts on the same engines; accuracy gaps where the engines are stating something incorrect; risk areas where the engines are weighting a problematic source heavily; and a prioritized intervention list mapping each finding to a specific action at the source layer. The deliverable is built to be acted on. A CCO reading it should know which three or four source-layer interventions will produce the most movement and on what timeline.