How do I fix wrong AI answers about my company?
Trace the wrong claim to its likely source — usually a stale page of yours or an outdated third-party listing — fix that source, publish a clear, dated, structured statement of the correct fact, and re-run the same prompt weekly until the answer changes. Retrieval-backed answers typically update within days to weeks; training-data answers take a model cycle.
Step one is forensic: capture the wrong answer verbatim, including citations if the engine shows them. Cited sources tell you exactly which page taught the engine the error. Uncited answers require inference — check your own pricing, docs, and security pages first, then major third-party surfaces (review sites, comparison articles, Wikipedia-style entries, old press).
Step two is repair at the source. If the culprit is your page, update it and make the correct fact extractable: stated plainly, near the top, with a date, ideally with JSON-LD markup. If it is a third-party page, use whatever legitimate channel exists — review-platform vendor profiles, correction requests to authors, or simply publishing a better, more current page that outcompetes the stale one for retrieval.
Step three is verification, and it is the step teams skip. Re-run the exact prompt on the exact engine on a schedule. If the answer has not moved in a few weeks on a retrieval-backed engine, your fix is not being retrieved — improve the page's relevance to the question or its structure, and check that AI crawlers are not blocked in robots.txt.
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Last updated: 2026-07-24