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

Quick answer

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

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