What to Do When AI Gets Your Business Wrong
There is no correction form for a language model. Here is what actually changes the answer, and how long it takes.
A founder asks ChatGPT about their own company and gets a confident answer containing something that is simply untrue. There is no contact form for this, which is why it is worth understanding what actually works.
Why it happens
An engine answering about a small or mid-sized business is usually working with thin material. When there is little to go on, models fill gaps with whatever is statistically plausible: a plausible founding year, a plausible location, a plausible description of the category.
Confidence is not a signal of evidence. The answer sounds the same whether it came from three sources or none.
The other cause is stale or conflicting material. If an old article says one thing, your site says another and a directory says a third, the engine picks one, and it may not pick the current one.
What does not work
Emailing the model's maker about a specific sentence. There is no correction workflow for individual businesses and no realistic prospect of one.
Changing only your own website. Owned pages are treated as weak evidence precisely because they are self-reported, which is the same reason a journalist would not take them at face value.
Posting the correction on social media. It will not be read as authoritative, and since the 2025 shift away from forum and social content in ChatGPT's source mix, it is less likely to be read at all.
What does work
Giving the engine better material to draw from, and making it consistent.
That means accurate third-party published articles on domains the engines already use, stating the correct facts plainly rather than burying them in adjectives. It means auditing the existing sources that carry the wrong information and updating what you control. And it means consistency, because contradiction is what produced the vague answer in the first place.
How long it takes
Longer than anyone wants. Models retrain on a schedule you do not see, and retrieval-based answers update faster than baked-in ones. Weeks to months is realistic, and a model that cites live sources will reflect new material sooner than one answering from training data.
Anyone offering to fix an AI answer by a deadline is describing a process they do not control.
The honest caveat
Some wrong answers will persist regardless of what you publish, particularly about very small businesses with little coverage. The realistic goal is to make the accurate version the easiest thing to find, not to guarantee the output.
Getting started
Publisive places clients in publications AI engines already draw from, which is the practical way to put accurate material where these systems will find it. We write the piece to your brief and you approve every word.
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Frequently asked questions
01Can I report an incorrect AI answer about my company?
There is no correction form for an individual business and no realistic prospect of one. What changes the answer is changing the material the engine draws on, not contacting the model's maker about a sentence.
02Why does AI state wrong facts confidently?
Because when there is little material to work from, models fill gaps with what is statistically plausible: a plausible founding year, location or description. The answer reads the same whether it came from three sources or none.
03How long does it take to correct?
Weeks to months, realistically. Models retrain on schedules you do not see, and answers that cite live sources update sooner than those drawn from training data. Some wrong answers about very small businesses persist regardless.
