What is an AI narrative audit and what does it cover?
AI responses across major engines, the sources cited, recurring themes, sentiment per engine, peer comparison, accuracy gaps, and a prioritized list of interventions to shift the narrative.
An AI narrative audit gives you 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 set of questions; which sources each engine is citing for the questions that matter; the recurring framings the engines apply; sentiment per engine and overall; a comparison against a named set of peers run through the same questions on the same engines; places where the engines state something incorrect; places where the engines lean heavily on a problematic source; and a prioritized list of fixes, each mapped to a specific action on the sources the engines read, not on the engines themselves. The deliverable is built to be acted on. A chief communications officer reading it should know which three or four changes to those sources will produce the most movement, and on what timeline.
Last reviewed: 19/05/2026