Why Does ChatGPT Make Things Up About Brands?
ChatGPT makes things up about brands because it predicts likely words instead of checking facts, and its training rewards a confident guess over admitting doubt. When the web has thin or conflicting information about your store, the model fills the gaps with fiction that sounds right.
What Is an AI Hallucination in Shopping Terms?
An AI hallucination in shopping terms is a confident product claim that was never true, like a lifetime warranty you do not offer or a soy wax blend you never used. The model is not lying on purpose. It is finishing a sentence the way a smooth salesperson would, whether or not the facts hold up.
Under the hood, ChatGPT works like a very advanced autocomplete. Ask it about a small candle brand and it may answer “soy wax” simply because most candle sites that look like yours say soy wax. The answer is statistically likely, and that is a different thing than accurate.
If ChatGPT cannot find your facts, it borrows facts from brands that resemble you. That is why the errors feel so plausible. They are true for someone, just not for you. I broke down the selection side of this in why ChatGPT recommends some brands and not others.
Why Does ChatGPT Guess Instead of Saying “I Don’t Know”?
ChatGPT guesses instead of saying “I don’t know” because the tests used to build and rank models score a wrong answer exactly the same as a blank one. A guess sometimes earns points. Admitting doubt never does. So models learn to bluff, the same way a student fills in every bubble on a multiple-choice exam.
This is not my theory. OpenAI researchers published a paper called Why Language Models Hallucinate making exactly this case. In one of their tests, a model that declined only 1% of questions got 75% of its answers wrong, while a more cautious model that declined 52% of the time cut its error rate to 26%. The finding was solid enough that a version ran in Nature.
The market pushes the same direction. NewsGuard’s audit of ten leading chatbots found they went from declining 31% of tricky prompts in August 2024 to declining 0% a year later, while false claims nearly doubled to 35%. Chatbots now answer everything, right or wrong.
Does Thin Brand Info Cause Made-Up Answers?
Thin brand info is the biggest cause of made-up answers about stores. The OpenAI paper calls facts like birthdays “arbitrary,” meaning no pattern predicts them. Your shipping cutoff and warranty length are arbitrary too. If they sit on one buried page, or two pages disagree, the model has nothing solid to grab.
Modern ChatGPT often runs a live web search before answering shopping questions, which helps. But retrieval only works if there is something good to retrieve. If your policies live in a PDF, a popup, or an image, the search comes back thin and the guessing machine takes over. I covered the retrieval side in how ChatGPT picks its sources.
To be fair, hallucinations about big brands have gotten rarer as retrieval improved. Small brands with sparse footprints are where they still bite hardest, which is exactly backwards from who can afford the damage.
How Do You Fix Your Brand’s Web Footprint?
You fix your footprint by publishing the same clear facts everywhere AI reads, starting with your own site. Google’s guidance for AI features in Search says the same fundamentals that earn regular rankings earn AI visibility, so this is not extra work on top of SEO. It is SEO.
Here is the order I run for clients:
- Put shipping, returns, and warranty terms in plain HTML text, not PDFs or popups.
- Write an FAQ page that answers real customer questions in full sentences.
- Add product schema so AI can read your specs, including price, availability, and materials.
- Make your About page state what you sell, who it is for, and where you ship, in one paragraph.
- Match your facts across marketplaces, social profiles, and retail partners. Conflicts breed fiction.
Consistency beats volume here. Five pages that agree do more than fifty that almost agree.
Can You Correct ChatGPT When It Gets Your Brand Wrong?
You can correct ChatGPT about your brand, just not directly. There is no form to file and no way to edit the model. What you can do is change the sources it reads, because retrieval-based answers refresh when the web does. Start by tracking brand mentions on ChatGPT so you know which wrong answers to chase. Publish the correct fact prominently, and the wrong answer usually fades within weeks, not days.
Make the check a habit. Once a month, ask ChatGPT the questions your buyers ask, like “does [brand] ship to Canada” or “what is [brand]’s return window,” and log what comes back. Treat a wrong AI answer like a bad review, respond with content, not complaints. If you want the full playbook, I laid out my steps to rank in ChatGPT separately.
Still, some SEOs will tell you hallucinations make AI search a waste of effort. I think the opposite. A machine that fills gaps rewards the brands that leave no gaps.
Want ChatGPT to Get Your Store Right?
ChatGPT makes things up when your web footprint gives it nothing better to say. The model guesses because guessing gets rewarded, and thin brand info hands it the excuse. Publish clear, consistent facts on every page AI reads and the fiction dries up.
If you would rather not audit this alone, book a call and I will run your brand through the exact prompts your buyers use, show you what ChatGPT says about you today, and hand you a fix list ranked by revenue impact. If you want the ongoing work handled, that is what my AI search services are for.
