Recovery
An AI tool is saying something false about your business.
ChatGPT, Gemini, or Perplexity told a customer your business closed, changed its offer, or has a problem it does not have. There is no edit button for a chatbot answer, so we fix it at the source the model is pulling from.
- We trace the source, not just the symptom
- No false promise of a one-time fix
- Free proposal within one business day
How we work the problem
The four things we check, in order.
Evidence we pull first
A screenshot of the exact prompt and answer, any source links the tool cited, and the same question asked again a day later and on a second platform, since one wrong answer once is different from a repeated pattern.
Triage order
We check whether the answer cites a page, since a cited source is fixable directly. We check your own site and Business Profile for the outdated claim next. Then we check the top directories and any old press for the same wrong detail.
What usually fixes it
Correcting the claim everywhere it actually lives online, in clear plain language a crawler can lift without interpretation, and letting a normal recrawl cycle pick it up. A single vague page rarely gets quoted; a direct, current statement usually does.
What we cannot promise
No AI company gives businesses a form to correct one specific answer, and each model refreshes its sense of a topic on its own schedule. We can remove the wrong information from the web. We cannot make a model forget it overnight.
The decision tree we run through
If the AI answer names a source
We open that exact page. If it is yours, we rewrite the outdated line in plain, current language. If it is a directory or an old article, we request a correction there, since a cited third party page is usually the fastest fix available.
If no source is shown at all
Some AI answers are generated without a visible citation, drawing on training data instead of a live page. In that case we focus on publishing a strong, current, unambiguous statement of the correct fact on your own site and profile, so the next training or retrieval pass has something better to find.
If the wrong claim is about your business being closed or unavailable
We check first for a stale directory listing marked closed, a lapsed domain redirect, or an old news mention of a closure that never happened, since those specific signals are known to feed exactly this kind of false answer.
If the same wrong claim shows up across several AI tools
That usually means the source is one widely syndicated page, such as a data aggregator or an old press release, rather than each tool making the same mistake independently. Fixing that one upstream source is worth more than fixing five downstream copies.
How the engagement runs
01
Trace
We reproduce the false answer across platforms, capture any cited sources, and search the open web for the page most likely feeding the claim.
02
Correct at the root
We rewrite the outdated page, profile, or listing in clear current language, and request corrections from any third party source we do not control.
03
Recheck on a schedule
We re-ask the same question across platforms on a set schedule and tell you honestly whether the answer has changed, since this moves on the model's timeline, not ours.
AI search misinformation FAQ
There is no public form to correct one specific chatbot answer the way there is a review flagging tool on Google. The practical fix is correcting the underlying source the model is drawing from, whether that is your own website, your Business Profile, or a directory, and letting normal recrawling and retraining catch up.
The most common cause is a stale directory listing, an old news mention, or a lapsed domain that got marked as closed somewhere online, which the model then repeats as fact. We search for that exact listing or mention first, since correcting it there is faster than trying to argue with the model directly.
It can, especially if the underlying wrong source was never corrected and only the newest answer looked right by chance. That is why we check the actual source pages rather than just re-asking the question and hoping the next answer is better, and why we recheck on a schedule rather than call it done after one pass.
Yes. The same question can return a different answer depending on the platform, the date, and sometimes the exact wording used. That is why we document the specific prompt and answer as evidence rather than relying on memory, and why one clean answer today is not proof the underlying source has been fixed.
It overlaps but starts from a different place. General AI visibility work builds up your presence for questions where nothing is currently said about you. This engagement starts from something specific and wrong already being said, and the first job is finding exactly where that claim lives before any broader visibility work begins.
Get the false claim traced and corrected at the source.
Send us the exact question and answer you saw. We will trace where it likely came from and what it takes to correct, in a free proposal within one business day.