What does it mean that AI models are citing us wrong?

‘Citing us wrong’ has a specific operational meaning in AI reputation work: an engine is asserting something about the brand that is factually inaccurate or materially misleading, and doing so with confidence. The instinct is to argue with the response. The right move is diagnostic. AIQ™ shows what the engine actually said and the sources it cited (where citations are shown) or the source patterns that match the response (where they are not). From there, the question becomes which source can be moved most effectively: a Wikipedia edit request if the engine is paraphrasing Wikipedia, a press correction if it is citing an outdated article, a structured-data fix if it is reading the wrong Knowledge Graph value, an owned-content addition if the right information is simply missing from the public record. The work is targeted, not diffuse, once the source identification is correct.