When AI states something false about your company, you usually can’t rewrite the answer directly — there’s no standard interface for editing it yourself. What you can realistically do is fix the sources the system draws on, state the correct information clearly on your own site, and report the error. The effect is indirect, with no guarantee and no firm timeline.
Right up front, it helps to separate two things that get confused easily. Directly editing the answer itself usually isn’t available in the standard interface. Reporting the error, though, you can do — some platforms have feedback controls for it and let you update the related business record or profile. What you don’t get to see is how exactly the report is evaluated and when it might take effect.
Start with the cause
This is the heart of it. “AI is lying about us” isn’t one situation, it’s three — and each one gets handled differently.
| Aspekt | Cause | How to handle it |
|---|---|---|
| Stale fact | An old price, a discontinued service | Update your own site and profiles; the most common case and the most fixable |
| Bad third-party source | A directory, an old article | Contact whoever runs the source and get the claim corrected |
| Hallucination | No clear material to work from | Supply a clear answer where nothing specific about you exists; it can also be a mix-up with another company |
Hallucinations may be more common where clear, consistent material is missing, but they also come out of a bad synthesis of several sources or a case of mistaken entity. So the risk can grow for brands with less consistent public material out there; on why models make things up, see the article on AI-generated content.
What you can actually do
-
Document it
Save the prompt, the answer, the date, and the system. Answers fluctuate, so try it several times — one answer may not mean anything.
-
Work out where it's coming from
Stale fact, bad third-party source, or hallucination? The next step differs accordingly. Without that, you're firing blind.
-
Fix the source
Update your own site; for a third-party source, contact whoever runs it. Sometimes one email or an edit to your own profile is enough, other times the process drags on with no certain outcome.
-
Supply what's missing
One reason a model makes things up may be that the answer isn't stated clearly and consistently anywhere. Write it down in one place and keep it identical across the site.
-
Retest later
Check repeatedly and across different systems. Expect a lag — how often changes get picked up isn't published.
Consistency matters more here than almost anywhere else. When the fact on your site, in your profiles, and in directories doesn’t line up, you’re handing the machines a choice — and you have no say in which one they take. Where else your brand can show up is covered in brand mentions in AI and your brand on Wikipedia.
What not to do
Panicking over a single answer
Answers fluctuate from run to run. Before you act on it, verify it several times and across different systems.
A correction page on your site
Copy along the lines of it is not true that we do such and such won’t help the reader, and it can tie the false claim to your name.
Manufacturing fake sources
Producing content purely to drown out an error is both a risk and an ethical problem. Fixing the source is usually the cleanest and most reliable route.
Waiting for an edit button
Directly editing the answer itself usually isn’t available in the standard interface. Time spent looking for a way into the model is better spent fixing sources and reporting the error.
Where this article stops
Two things this piece doesn’t address and can’t.
It can’t promise a result. Even after every step is done correctly, there’s no guaranteeing the answer will change, or when. Anyone claiming otherwise is selling certainty they don’t have.
It doesn’t cover the legal side. Alongside fixing sources, it can sometimes be worth reporting the output to the platform, correcting the related business record, or making a formal request to the source; the specific route depends on the type of error and the service. If a false claim is doing real harm to you, talking to a lawyer is the right call. Here we’re staying with what you can do on the content and technical side.
Key takeaways
- You can’t rewrite the model, but you can fix the sources — everything that works aims at where the claim comes from.
- Cause first, then fix — a stale fact, a third-party source, and a hallucination each get handled differently.
- Hallucinations often grow where clear material is missing — though it can also be a case of mixed-up brands.
- Consistency across your site and profiles — contradictions leave the choice to the machines.
- No guarantee and no timeline — verify repeatedly, see the AI visibility test, and never promise anyone a date.
Not sure what AI says about you, or where it’s getting it? An AI SEO audit from Sniper Design walks through how AI systems answer questions about your company, helps trace the likely sources behind the disputed claims, and lays out the content and technical steps that can improve the odds of a correction.
For transparency: this article reflects publicly available information and practice as of July 2026. AI providers don’t publish exactly how they pick up changes from their sources, so the steps above can’t guarantee a correction or its timing. This article is not legal advice.
