How do you handle AI search results that cite outdated information about your company?

Outdated AI responses trace to outdated sources. The engines reflect whatever the source ecosystem says, weighted by authority and recency, so a brand still being described according to its 2022 profile is being held there by sources that have not been updated. The remediation has three parallel tracks. First, update the owned source layer: the About page, leadership bios, key product pages, FAQ blocks, all carrying current dates and current facts. Second, update Wikipedia and Wikidata, since those are the heaviest weights for most entities and the most persistent when stale. Third, generate recent authoritative third-party content – new press coverage, updated registry entries, fresh structured-data signals – so the engines see fresh corroboration of the current picture. Retrieval-heavy engines pick up the freshness within days; training-baselined engines need the next training cycle, with retrieval providing an interim bridge.