Hallucinated Facts About Your Brand: Detection and Correction
AI engines sometimes state false facts about your brand. How to detect errors with brand prompts, trace their causes, and correct them at the source.


AI engines sometimes state things about your brand that simply aren’t true — wrong pricing, services you don’t offer, a location you left years ago, or confident details invented from thin air. You can’t edit an AI’s output directly, but these errors usually have traceable causes: outdated information on the web, ambiguous or missing facts on your own site, or confusion with a similarly-named business. Detection and correction is a repeatable process, and it’s worth running regularly because a confidently-stated false fact reaches buyers before you do.
Key takeaway
- You can’t edit AI output directly, but most brand errors trace to outdated, ambiguous or missing information you can fix.
- Detect by running brand-specific prompts regularly across engines and recording exactly what’s stated about you.
- Correct at the source: update stale web information, state key facts plainly on your own site, and strengthen entity clarity.
Detect it deliberately
Add a set of brand-specific prompts to your regular AI-visibility testing — “what does [your brand] do,” “how much does [your brand] charge,” “where is [your brand] based,” “is [your brand] any good,” “what services does [your brand] offer.” Run each several times across the engines your buyers use, and record the answers verbatim rather than just noting whether you appeared. Most brands that do this for the first time find at least one confidently-stated inaccuracy. Checking monthly alongside your share-of-citation measurement costs little and catches errors while they’re still fixable.
Fix the source
Since you can’t edit AI output, correction always works upstream: change the information the engine is drawing on. Outdated pages, ambiguous facts and missing statements are the usual culprits.
Source — brand accuracy practice
Trace the cause
- Outdated information still live. Old pricing on a directory, a former address on a profile, a discontinued service described on an old page of your own site. Engines can’t tell it’s stale.
- Facts you never stated plainly. If your site never says clearly what you charge or where you operate, an engine may infer — and infer wrongly.
- Entity confusion. A similarly-named business gets conflated with yours, mixing details from both.
- Genuine fabrication. Sometimes the model simply generates plausible-sounding detail with no source. This is hardest to address directly, but strong, clear, well-corroborated facts reduce the space for invention.
Correct at the source
Work through the causes you identified. Update or remove stale information wherever it lives — your own site first, then directories, profiles and any third-party listing you can influence. State the important facts plainly and unambiguously on your site: what you do, what you charge, where you operate, who you serve. Strengthen entity signals with consistent details and Organization schema so engines can distinguish you from similarly-named businesses. Where a third-party source carries wrong information, contact them and ask for a correction, which often works.
Expect a lag, and re-check
Corrections don’t propagate instantly. Engines need to recrawl the updated sources and rebuild their understanding, which can take weeks or longer depending on the engine and how widely the wrong information was repeated. Some engines offer feedback mechanisms for reporting inaccurate answers, which are worth using for serious errors, though outcomes aren’t guaranteed. Re-run your brand prompts after making corrections, then again a month later, and keep a simple log of what was wrong and what you changed — it makes recurring problems visible and shows whether your fixes are landing.
Frequently asked questions
How do I find out if AI engines say wrong things about my brand?
Run brand-specific prompts regularly — what your company does, what it charges, where it’s based, what services it offers, whether it’s any good — several times each across the engines your buyers use, recording answers verbatim. Most brands checking for the first time find at least one confidently-stated inaccuracy. Doing this monthly alongside share-of-citation tracking catches errors early.
Can I get an AI engine to correct information about my business?
Not by editing output directly, but you can fix the underlying causes: update or remove stale information on your site and third-party listings, state key facts plainly and unambiguously, and strengthen entity signals so you aren’t confused with similar businesses. Some engines offer feedback mechanisms for reporting inaccurate answers, which are worth using for serious errors.
Why do AI engines get facts about my brand wrong?
Usually because of outdated information still live somewhere on the web, facts you never stated plainly (leaving the engine to infer), or confusion with a similarly-named business. Sometimes the model simply generates plausible detail with no source. Clear, current, well-corroborated facts across your site and profiles reduce all four causes considerably.
How long do corrections take to appear?
Not instantly — engines need to recrawl updated sources and rebuild their understanding, which can take weeks or longer depending on the engine and how widely the wrong information was repeated. Re-run your brand prompts after making corrections and again a month later, and keep a log of what was wrong and what you changed so you can see whether fixes are landing.
The bottom line
False facts about your brand reach buyers with all the confidence of true ones, so detection needs to be deliberate: brand prompts, run repeatedly, recorded verbatim. Then trace each error to stale information, unstated facts or entity confusion, and fix it at the source. Corrections lag, so re-check and log what you find. It’s routine maintenance that protects how you’re described everywhere.
We monitor what AI engines say about your brand and correct the sources behind the errors. Part of our AI Visibility service.