How do you correct AI-generated misinformation about your brand?

Correcting AI misinformation is a source-attribution problem first and an editorial problem second. The starting point is identifying what the engine is actually anchored to. AIQ shows this directly for retrieval-based engines (which sources are cited) and pattern-matches against likely training sources for engines that do not show citations. From there, the work depends on what the source is. If Wikipedia is the anchor, we work through the proper edit-request process on the article’s Talk page with disclosed COI editing. If a specific outdated article is the source, we either work toward a published correction or strengthen competing accurate sources until the engines re-weight. If a Knowledge Graph (Google’s database of entities and facts) value is wrong, we go through the Google feedback channels and the Wikidata corrections that feed it. Once the source-level work is done, we track in AIQ across all eight engines until the correction propagates. Retrieval-heavy engines update within days; training-baselined engines update on retraining cycles.