The short answer.
When ChatGPT or Google’s AI Overview gets a fact about your company wrong, the error almost always exists somewhere on the web: an old page on your own site, an outdated directory profile, a stale review listing or an article that copied one of them. Find that source, correct it, then make your own site the clearest statement of the facts. Feedback buttons help a little; fixing the source is what lasts.
There is no form that tells an AI engine “this company was founded in 2015”. Engines repeat what they read and what they learned in training, so the job is to make what they read correct and consistent. The rest of this guide is the five-step method we use, starting with our own mistakes.
What ChatGPT got wrong about us.
We asked ChatGPT, with web search on, in a temporary chat with no memory: “What is Prolinkage (prolinkage.com)? What services does it offer, and would you recommend it for SEO and AI search visibility?” Most of the answer was right. It placed us in Pune with international clients, described more than a decade of experience, listed our ten service areas as they appear on our site, and called us “worth shortlisting”, suggesting a buyer start with a small, clearly scoped audit. Two facts were not right.
| Fact | What ChatGPT said | Where it came from | What we did |
|---|---|---|---|
| A client’s AI-search result | A 4.17x rise, from an older version of our case study | Our own site. The earlier figure came from an undated screenshot. We replaced it with the dated 6.7x figure earlier that day, but ChatGPT had not yet picked up the change | Kept the dated figure on the site and requested re-indexing in Google Search Console on 7 November 2026 |
| Founding year | 2015, from our LinkedIn page | Correct on LinkedIn, but our older Clutch and DesignRush profiles said 2011, so the web disagreed with itself | Corrected both directory profiles to 2015 on 7 November 2026, and their website address at the same time |
The current figure is this: for FullTilt Team Development, impressions inside Google’s Generative AI features for fulltiltteams.com rose 6.7x, 3.45K to 23.1K, last 3 months vs previous 3 months (Google Search Console, captured 4 Sep 2026). The FullTilt case study shows it with its source.
ChatGPT also judged our evidence for AI search weaker than our evidence for SEO. That is an opinion, not an error, and a fair one to take seriously: the fix there is better evidence, not a correction request. Separate the two in your own results, because they need different work.
Why AI engines get company facts wrong.
An engine can answer in two ways: from what its model learned in training, or by searching the web and reading pages first. OpenAI documents this split in its crawler documentation, which separates GPTBot, collecting content that “may be used in training”, from OAI-SearchBot, which “is used to surface websites in search results in ChatGPT’s search features”. A wrong fact can enter either route.
- 01 · YOUR SITEAn old figure still live, or not yet re-read
- 02 · PROFILESDirectories and review sites never updated
- 03 · COPIESArticles that copied an old profile
- 04 · TRAININGA model that learned the web as it once was
Our two errors came from routes 01 and 02. Both were within our control.
Conflict makes it worse. If your site, LinkedIn and three directories each give a different founding year, the engine has to pick one, and you cannot predict which. Directory profiles are the usual offenders: set up once, years ago, by someone who has since left, and never opened again. Website migrations are the other. If old URLs still serve old copy, an engine can read it. Our website redesign SEO checklist covers retiring old pages properly.
This week, list every place your company has a profile you could edit. Most firms find more than they expected.
Step 1: test the same prompts in every engine.
Start by finding out what each engine says, in a way you can repeat. Use a clean session each time: a temporary chat in ChatGPT, a logged-out window for Perplexity, and a private window for Google. Personal memory and history can change answers, and you want to see what a stranger sees.
Five identity prompts to run
- “What is [company] ([domain])? What does it do and who is it for?”
- “When was [company] founded, where is it based and how big is it?”
- “What results has [company] published for clients?”
- “Would you recommend [company] for [your main service]? Why or why not?”
- “How does [company] compare with other firms offering [your main service]?”
Run each in ChatGPT with search on, in Perplexity, and in Google, where an AI Overview may or may not appear. Save a screenshot, the date and time, the engine, and every source the answer links or lists. Then underline every factual statement and mark it right, wrong or out of date. Opinions, like our “AI evidence weaker than SEO”, go in a separate column.
Run them more than once. Answers vary from run to run, so a fact that appears wrong once and right twice is still worth fixing, but it tells you the web is split rather than wrong. Our guide on checking your AI search visibility sets out a fuller observation protocol for category questions as well.
Step 2: trace each wrong fact to its source.
A wrong fact without a source is a guess about where to fix it. Spend time here; it saves effort later.
Start with the cited sources
When an engine shows sources, open each one and search the page for the wrong fact. ChatGPT credited our founding year to LinkedIn, which pointed us straight at the conflicting profiles. Note that a citation list may not be complete. OpenAI’s developer documentation for its web search tool says the full list of URLs consulted is “often greater than the number of citations” shown, so the page that supplied a fact may not be linked at all.
Then search for the wrong fact itself
Search Google for your company name plus the wrong value in quotation marks, for example your name and “founded in 2011”. Every result is a candidate source. Do the same for old figures, old addresses, former service names and the old website address if you have changed domains or dropped “www”.
Check your own site last, and honestly
We nearly skipped this, because we had already fixed the figure. But an engine may hold an older copy of your page, and other parts of your site may still carry the old value: a blog post, a PDF, an image caption, a page you forgot existed. Search your own site for the old value before you blame anyone else.
Write each wrong fact on one line with its likely source and the owner who can change it. That list is your work plan.
Step 3: fix your own site first.
Your website is the one source you fully control, and the one an engine is most likely to read when asked about you by name. Make it the clearest, most current statement of your facts before you touch anything else.
- Put your core facts in plain text on one page, usually About: legal and trading name, founding year, headquarters, team size, what you do, for whom, and where.
- Date every result and name its source. A dated figure is easier for an engine to prefer over an undated older one, and easier for a buyer to trust.
- Remove or update every old version of a figure, including in images and downloadable files.
- Add Organization structured data to your home page or about page. Google’s documentation lists properties including foundingDate, address, numberOfEmployees and sameAs, which links to your profiles on other sites, and says the markup “can help Google better understand your organization’s administrative details”. Google is also clear that features using structured data may not appear, so treat it as clarity, not a lever.
Then ask Google to recrawl the changed pages with the URL Inspection tool in Search Console. Google says crawling “can take anywhere from a few days to a few weeks”, that resubmitting the same URL will not speed it up, and that a request does not mean the page will be included. We requested re-indexing of our case study and AI search service pages on 7 November 2026. Our landing page trust audit covers how to present dated proof so buyers and engines read it the same way.
Step 4: fix the sources you don’t own.
Next, work through the list from step 2, starting with the sources that appear most often in AI answers about your category.
Directories and review platforms
Claim the profile if you have not, then correct every field, not only the wrong one. When we opened our Clutch and DesignRush profiles on 7 November 2026, the founding year was not the only stale field: the website address still used “www”, and the descriptions were generic text from years ago. We rewrote them from one shared set of facts so every profile now says the same thing.
LinkedIn and other social profiles
Your LinkedIn company page is often read and quoted, as ours was. Check its founding year, size band, headquarters and website field against your site.
Wikipedia and Wikidata, only where they genuinely apply
Most B2B firms do not have, and should not create, a Wikipedia article. If one exists and is wrong, Wikipedia’s conflict-of-interest guideline says editors with a conflict of interest are “strongly discouraged from editing affected articles directly” and should propose changes on the article’s talk page instead; anyone paid to edit must disclose it. Wikidata has its own notability criteria, such as being a clearly identifiable entity described by serious, publicly available references. Read them before creating an item, and never create one only for visibility.
Press and third-party articles
For an article that repeats an old fact, write to the editor with the correct fact and a link to where it is stated. Many will update a figure or a date. Some will not, which is another reason to make your own site and profiles unambiguous.
Step 5: use each engine’s feedback channel.
Every major engine offers some way to flag a wrong answer. None of them is a correction service for companies, and none publishes how feedback changes later answers. Use them after you have fixed the sources, so a re-check finds the right fact.
| Engine | What it offers | What to expect |
|---|---|---|
| Google AI Overviews | Thumbs down under the overview, then “Report a problem” and a category | Google says the report includes your query and its results. No response is promised |
| Google knowledge panel | Get verified as the entity, then “Suggest edits” on the panel | Google says it reviews verified feedback within a few days and can make some corrections directly |
| Perplexity | The flag icon below an answer, or a support ticket from the app | Perplexity asks for the answer’s URL, the error and the expected result |
| ChatGPT | A thumbs-down control under each answer | We could not find OpenAI documentation of a correction process for business facts. Treat it as a signal, not a fix |
When you report, be specific and boring: the wrong fact, the right fact, and the public page that states it. A report that points to a corrected source is easier to act on than a complaint.
How long a correction takes.
Honestly: nobody publishes a timeline for an AI answer to change. What is published is how long the inputs take. Google says a recrawl takes from a few days to a few weeks. OpenAI says a robots.txt change takes about 24 hours to register, though that covers crawler access, not how quickly a corrected page is reflected. A fact learned in training can only change when the model is retrained, and we found no published schedule for that.
Our own case shows the lag. We updated the figure on our site, and the same evening ChatGPT still quoted the old one. That is normal. Do not judge a fix the day you make it.
A sensible rhythm
Re-run your identity prompts two weeks after the fixes, then monthly. Keep the same wording and clean sessions so the comparison is fair. If a wrong fact persists after a month, go back to step 2: there is usually another copy you have not found yet. For the wider question of why you are named in category answers or not, see our guide on why brands go missing from AI shortlists.
The fact consistency audit.
Type each fact as it appears in each place, then press Check. Any fact that differs between sources is flagged, with the odd ones out highlighted against your website. Leave a box empty if a source does not state that fact. Nothing you type is sent anywhere or saved.
Enter your facts, then check.
The example shows our position before the fixes on 7 November 2026: two directory profiles that gave 2011 where LinkedIn and ChatGPT gave 2015 (the correct year, which our own website did not state), the same two profiles still pointing to our old “www” address, and an AI answer quoting an older client figure than our site. The “Main directory” and “Review platform” columns stand for Clutch and DesignRush. A clean result does not prove an engine will repeat your facts. It removes the conflicts that let it get them wrong.
Questions owners ask.
Why does ChatGPT have wrong information about my company?
Usually because the wrong fact exists somewhere it reads: an old page on your site, a directory profile nobody updated, or an article that copied one. It may also be answering from training data that predates your changes. Trace the fact to its source and correct it there.
Can I ask OpenAI to correct what ChatGPT says about my business?
We found no documented process for companies to correct business facts in ChatGPT. You can use the thumbs-down control under an answer, but OpenAI does not say how that feedback is used. The reliable route is fixing your website and the profiles ChatGPT reads, then re-testing.
How do I fix a Google AI Overview that is wrong about my company?
Correct the source pages first, then use the thumbs-down and “Report a problem” option under the overview. If your company has a knowledge panel, get verified and suggest edits; Google says it reviews verified feedback within a few days. Then request a recrawl of your corrected pages in Search Console.
How long does it take for AI answers to show corrected information?
No engine publishes a timeline. Google says recrawling a page takes a few days to a few weeks. Facts a model learned in training change only when the model is updated. Re-run the same prompts two weeks after your fixes, then monthly, and look for remaining copies if an error persists.
Does structured data stop AI from getting my facts wrong?
It helps, but it is not a shield. Google says Organization markup can help it understand your administrative details, such as founding date and address. It does not override conflicting facts elsewhere on the web, so it works best alongside consistent profiles and a clear about page.
Sources: Prolinkage AI self-test, ChatGPT asked about Prolinkage by name, 6 November 2026; Prolinkage change log, site figure update 6 November 2026, Search Console re-indexing request and Clutch and DesignRush profile corrections, 7 November 2026. Client result: FullTilt Team Development, GSC Generative AI features impressions, last 3 months vs previous 3 months, captured 4 Sep 2026. OpenAI crawler documentation and web search tool documentation (accessed 7 Nov 2026); Google Search Central on recrawling and Organization structured data (accessed 7 Nov 2026); Google Search Help on AI Overviews feedback and knowledge panel verification (accessed 7 Nov 2026); Perplexity Help Center (accessed 7 Nov 2026); Wikipedia conflict-of-interest guideline and Wikidata notability policy (accessed 7 Nov 2026).