How to fix wrong or outdated information about your company in ChatGPT: diagnose the source, correct pages, allow OAI-SearchBot, retest. AEO from $5,000/month.

A buyer asks ChatGPT what your company costs, and it quotes a package you retired two years ago. Another asks who you serve, and it describes a product line you sold off. Nobody on your team sees either conversation, but both buyers walk into the first call with the wrong picture, or never book it.
This guide shows how to trace a wrong ChatGPT answer to its source, fix the pages that feed it, make sure OpenAI can actually read the correction, and retest until the answer changes. Every step uses OpenAI's own documentation, not guesswork about a hidden "edit" button that does not exist.
Last updated - October 2026
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See what ChatGPT and other answer engines say about your company, which sources they cite, and where the facts drift. Then book a call if Austin Heaton's $5,000/month engagement floor fits.
Get the Free AEO Report CardBook a 30-minute callLet's start with the uncomfortable part. OpenAI's own help center says ChatGPT can produce incorrect or misleading outputs and may sound confident even when it is wrong. The same page lists the causes that matter most for a B2B brand: a training cutoff, missing access to a website because of robots.txt or technical issues, and over-simplification.
OpenAI's September 2025 research post, Why language models hallucinate, adds one more reason. Arbitrary, low-frequency facts cannot be predicted from patterns, so models guess. Your pricing, founding year, and current product lineup are exactly that kind of low-frequency fact unless the web repeats them consistently.
The problem is not small. In March 2025, the Tow Center at Columbia Journalism Review ran 1,600 queries across eight AI search tools and found incorrect answers to more than 60 percent of them. ChatGPT Search misidentified 134 of its 200 test articles and signaled uncertainty only 15 times.
In practice, wrong company answers trace back to four sources:
If competitors are getting recommended while your facts are wrong, the two problems usually share a root cause. The breakdown in why competitors show up in ChatGPT and you do not covers the visibility side.
Here's why that distinction matters. According to OpenAI, responses without search are based on what the model learned during training, while responses with search or deep research can access and cite real-time web sources. The fix and the timeline differ for each.
Run the diagnosis like a test, not a complaint:
| Error pattern | Most likely source | First fix | How fast it can change |
|---|---|---|---|
| Wrong with Search on, citation shown | A specific live page (yours or third party) | Correct or replace that page | After the page is recrawled |
| Right with Search on, wrong without it | Older training data | Strengthen current pages and keep testing with Search | Waits for a future model update |
| Wrong in both, no citation | Conflicting facts across many sources | Align your site, profiles, and press on one version | Weeks, as sources are recrawled |
| Facts from a different company | Entity confusion on name or brand | Clarify the entity with Organization schema and sameAs links | After recrawl of the clarified pages |
OpenAI's search help page is blunt that search results and citations can be incomplete, outdated, or incorrect. That is useful for you: when the error comes with a citation, you have a specific URL to fix.
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Austin Heaton's team traces wrong ChatGPT answers to the pages behind them and fixes the sources. Engagements start at $5,000 a month with a 3-month minimum, and local AEO is a $3,000 a month add-on, per Austin Heaton pricing.
Book a 30-minute call with Austin HeatonSee pricingChatGPT cannot repeat a correct fact you never published. Start with the pages a buyer, and a model, would treat as authoritative: pricing, about, product or service pages, leadership, and FAQ.
Austin Heaton's team ran this exact cleanup on austinheaton.com in October 2026. Older posts still carried retired package names and outdated proof metrics, so every page was brought back to one consistent offer: engagements from $5,000 a month with a 3-month minimum. One stale page can contradict ten correct ones, which is why the sweep covered old posts, not just the pricing page.
A correct page that OpenAI cannot fetch is invisible. OpenAI's crawler documentation says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers, and that it can take about 24 hours after a robots.txt change for its systems to adjust.
If you are not sure whether you are blocked, start with how to tell if AI crawlers are blocked on your website.
On the flip side, your website is only one voice. When a cited source is a directory, review site, or article you do not control, the fix is a correction request, not a rewrite of your own page.
The difference between being named and being cited matters here. A mention in a stale listicle can keep an old fact alive long after your site is correct. See AI mentions vs AI citations for how to prioritize which sources to chase.
Use the thumbs-down control under the wrong response and explain what is incorrect, with a link to the corrected source. Feedback is worth doing, but it is not the fix. The sources are.
Then retest the same buyer prompts in a new chat every week, with Search on and off. Log the answer, the cited URLs, and the date. Expect search-grounded answers to move first, once the corrected pages are recrawled. Answers that come only from training data can lag until OpenAI ships a model trained on newer data, so keep publishing the correct version consistently in the meantime.
For brands that sell high-consideration B2B products, this monitoring is part of a broader AEO program. Austin Heaton scopes it on ChatGPT optimization services, and published results include the Riseworks case study, the Lumanu case study, and the iSpeedToLead case study.
Austin Heaton's take:
Most companies treat a wrong ChatGPT answer as an AI problem. It is usually a content governance problem that AI made visible. If your own site, your G2 profile, and a three-year-old press release disagree, the model is not malfunctioning when it picks the wrong one.
The downside is speed. Search-grounded fixes can land within weeks, but training-data errors can outlast your patience. That is why the correction work and the citation work belong in the same program, measured on the same fixed prompt set. Start with the Free AEO Report Card to see where the drift is today.
No. OpenAI does not offer a business profile or correction form that changes answers for every user. You change the answer by correcting the sources ChatGPT searches and learns from, then retesting.
Answers that use ChatGPT Search can change after the corrected pages are recrawled, which OpenAI says takes about 24 hours for robots.txt changes alone. Answers based only on training data can lag until a newer model ships.
Usually because an old page still states the old price, or because the model learned it before your change. Update every page that mentions pricing, add a dated change note, and make sure OAI-SearchBot can crawl your pricing page.
It sends feedback to OpenAI, but it does not edit the answer. Include the correction and a source link, and treat it as a supplement to fixing the underlying pages.
Blocking GPTBot only signals that your content should not be used for training. To appear correctly in ChatGPT Search, you need OAI-SearchBot allowed so it can read your corrected pages.
Engagements start at $5,000 a month with a 3-month minimum. Local AEO is a $3,000 a month add-on, and white-label AEO is offered. See /pricing for details.
Pick the ten questions a buyer is most likely to ask about your company: pricing, who it is for, alternatives, integrations, and whether you are still operating as you are today. Run each one in a new ChatGPT chat with Search on, and log every wrong fact with its cited URL.
Fix your own pages first, confirm OAI-SearchBot can read them, then work through the third-party sources. If the list is long, or the errors are costing pipeline, review pricing and book a call when the $5,000 monthly floor fits.
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Bring the prompts and the wrong answers. Austin Heaton will map which sources feed them and what to fix first. Engagements start at $5,000 a month with a 3-month minimum.
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