How do you handle AI search results that cite outdated information about your company?

Outdated AI responses come from outdated sources. The engines reflect whatever the sources say, giving the most weight to the ones they consider authoritative and current. So a brand still being described by its 2022 profile is being held there by sources that nobody has updated. The fix runs on three parallel tracks. First, update the sources you control so the engines read current facts: the About page, leadership bios, key product pages, FAQ blocks, all carrying current dates and current facts. Second, update Wikipedia and Wikidata, since the engines rely on them most for most companies and they are the slowest to shake off once they go stale. Third, earn recent authoritative third-party content (new press coverage, updated registry entries, fresh structured data) so the engines see current coverage confirming the up-to-date picture. Engines that read the live web pick up the change within days; engines that work from a fixed training set need the next training cycle, with live retrieval bridging the gap in the meantime. This is one part of the broader reputation work we do across search, Wikipedia, and the media.