ChatGPT gets your company wrong for one of six reasons, and the fix is different for each. Usually it is not malice or a bug. It is that the model found too little about you, found several versions that disagreed, confused you with a similarly named company, or read a description of you written by somebody else years ago. The first job is working out which one applies, because the wrong fix wastes months.
How do AI tools decide what your company is?
A language model does not hold a record for your company the way a database does. It has absorbed a large amount of text, some of which mentions you, and when asked about you it assembles the most probable description from what it absorbed. Where the tool can also search the live web, it adds whatever it retrieves at the moment you ask.
Two consequences follow, and they explain almost every complaint people have.
First, agreement counts more than accuracy. If eight sources describe you one way and your own homepage describes you another, the eight usually win, even when your homepage is the correct one and the others are three years out of date.
Second, a gap gets filled rather than left empty. Asked what your company does, a model will rarely say it does not know. If the evidence is thin it produces something plausible for a company with your name in your apparent category. That is where the confident, specific, entirely invented descriptions come from.
The six reasons, and how to tell which one is yours
1. There is not enough about you to go on
Looks like: a generic description that would fit any company in your category, or a polite refusal followed by a guess.
How to confirm: search your exact company name and count how many pages that are not yours describe what you do. Under five and this is almost certainly your problem.
Fix: more independent surfaces that say the same thing. Your own site alone will not do it, because a single self-description is not corroboration.
2. Your own properties contradict each other
Looks like: a description that is recognisably about you but describes an older product, a former positioning, or a market you left.
How to confirm: put your homepage, your LinkedIn “about”, your Crunchbase entry and your last press release side by side. Most companies find three or four different answers to “what is this”.
Fix: pick one description and propagate it. This is the most common cause and the most fixable.
3. Something else has a claim on your name
Looks like: a description of a completely different organisation, or a blend of two.
How to confirm: ask for your company name alone, then ask again with the category attached. If adding “the workflow software company” fixes it, you have a collision.
Fix: attach a distinguishing feature to your name wherever you can control the text. Full legal name on first mention, city or category nearby. You are not going to out-rank a famous namesake, so aim to be reliably separable rather than dominant.
4. It is describing an older version of you
Looks like: accurate, but two years stale. A pivot, rebrand or acquisition missing.
How to confirm: compare what it says to your positioning at various past dates. If it matches a specific former version, this is it.
Fix: you cannot edit training data, so make the current version overwhelmingly more available and more consistent than the old one, and make sure retrieval finds it. Explicitly address the change somewhere crawlable. A page that says plainly that the company formerly known as X is now Y, and what changed, does more work than quietly updating the homepage.
5. Your site says it in a way machines cannot use
Looks like: a vague description despite a site that says it clearly to a human reader.
How to confirm: view the page source of your homepage and search for a plain sentence saying what you do. If the only clear statement is inside an image, a video, or text rendered by JavaScript, that is your answer. The other version of this problem is positioning language with no plain-words backup: “the connective tissue of modern operations” is memorable and tells a machine nothing.
Fix: one plain sentence in crawlable text, high on the page, naming the category in the words customers use. Keep the clever line. Add the plain one beneath it.
6. Somebody more authoritative describes you wrongly
Looks like: a specific wrong claim repeated consistently. Wrong headcount, wrong founding year, wrong founder, wrong parent company.
How to confirm: search the wrong fact itself. It usually traces to one directory listing, one old article, or one aggregator that everyone else copied.
Fix: correct it at the source. Most directories have a claim-this-listing route, and it is unglamorous work with a better return than almost anything else on this list, because you are removing the contradiction rather than shouting over it.
How should you test this properly?
Most people test badly and draw the wrong conclusion, so this part matters.
- Start a fresh session with no memory or history. If you have been discussing your company for twenty minutes, you are testing your own context, not the model’s knowledge.
- Ask the plain question a stranger would ask. “What does [company] do?” Not a leading question that hands it the answer.
- Test more than one tool. Different products have different training data and different retrieval. One being wrong is a data point. Four being wrong is a pattern.
- Test with and without web access. Correct with browsing and wrong without it means retrieval is saving you and the underlying picture is still wrong.
- Write down what each one said, with the date. Without a baseline you cannot tell whether anything you did worked, and this is the step almost everybody skips.
How long does a fix take to show up?
Honestly: longer than you want, and nobody can give you a reliable number. Retrieval-based answers can change within days of a page being updated and re-crawled. Answers coming from the trained-in picture change on the schedule of model releases, which you do not control and cannot petition.
Anyone promising a guaranteed timeline is selling something. What you can control is that from today forward, every new thing written about you agrees with every other thing. That is slow and it compounds, which is an uncomfortable combination for anyone wanting a quick result, but it is the actual mechanism.
The one shortcut worth taking is reason six. Correcting a wrong fact at its source removes a contradiction permanently, and it is usually an afternoon of unglamorous form-filling rather than a content programme.
Once you know which reason applies, the repair work is the same underlying discipline every time. That system, including how to write the canonical description everything else derives from, is in The Entity Consistency System. If your problem turned out to be reason two, start there.
Frequently Asked Questions
Why does ChatGPT get my company wrong?
Usually one of six reasons: too little written about you, contradictory descriptions across your own properties, a name collision with another organisation, a stale picture from an older version of your business, a site that states what you do only in images or positioning language, or a wrong fact at an authoritative source that others copied.
Can I contact OpenAI to correct information about my company?
There is no general-purpose correction desk that edits what a model believes about a company. The practical route is changing what the model reads: fix the sources, remove contradictions, and make the correct version far more available and more consistent than the incorrect one.
How do I test what AI tools say about my brand?
Use a fresh session with no prior context, ask the plain question a stranger would ask, repeat across several tools, and test both with and without web browsing enabled. Record each answer with the date so you have a baseline to measure change against.
How long before a correction shows up in AI answers?
Answers that come from live retrieval can change within days of a page being updated and re-crawled. Answers from the model’s trained-in picture change only with new model releases, which is outside your control. Treat any guaranteed timeline as a sales claim.
Why does AI describe my competitor accurately but not me?
Almost always volume and agreement rather than favouritism. They likely have more independent sources describing them, and those sources agree with each other. Count the pages that are not yours describing what each of you does, and the gap usually explains itself.