How Do I Fix Wrong Information ChatGPT Says About My Company?

An SEO agency offers AEO services by adding AI visibility work to what it already does. That means checking how AI assistants like ChatGPT, Gemini and Perplexity describe each client, fixing the content, schema and entity gaps behind weak answers, and tracking citations every month. Most agencies start by selling it as an add-on to SEO retainers.

This guide covers the whole picture. You will learn what AEO is, how it differs from SEO, which skills and tools you need, what to put in a package, how to price it, and how to roll it out on client sites without hurting your margins.

To fix wrong information ChatGPT says about your company, correct the sources it learns from. You cannot edit ChatGPT directly. Record the exact wrong answer, find the web pages that likely caused it, update your website and business profiles, report the answer through the feedback button, and re-check regularly. Answers that use live web search usually change first.

This guide walks through the whole process. You will learn why AI gets businesses wrong, how to prove what it said, how to trace the source, which pages to fix first, how to report errors on each platform, and what your legal options are if the damage is serious.

The short version:

• ChatGPT gets companies wrong because of old, missing or conflicting information online.
• There is no “edit” button. You fix the answer by fixing the sources.
• Document every wrong answer with the exact prompt, date, screenshot and share link.
• Update your own site first: homepage, About, Contact, pricing and service pages.
• Then fix the big third-party profiles: Google Business Profile, LinkedIn, directories and review sites.
• Use each platform’s feedback tools, but do not rely on them alone.
• Re-test the same prompts on a schedule so you know when the fix worked.

In this guide:

• Why does ChatGPT give wrong information about my company?
• Common inaccuracies AI generates about businesses
• Risks of AI misinformation for businesses
• How to document exactly what ChatGPT says
• How to find the source of the wrong information
• Can you directly correct ChatGPT?
• How to correct misinformation on AI platforms
• Which website pages to update first
• Ways to report inaccuracies in AI-generated content
• How to communicate with AI developers
• Steps to improve AI accuracy over time
• Guidelines for accurate business information
• Companies specializing in AI content verification
• What businesses experience when fixing AI errors
• Legal implications of incorrect AI information
• Glossary
• FAQ

Why does ChatGPT give wrong information about my company?

ChatGPT does not look facts up in a company database. It writes answers based on patterns it learned during training, and in many cases on web pages it finds with live search. Errors usually come from one of these causes.

1. Its training data is out of date

Every AI model learns from data collected up to a cutoff date. If your company changed its pricing, name, address or services after that date, the model may still repeat the old version when it answers from memory.

2. There is not enough information about you

When a model knows little about a business, it may fill the gaps with guesses that sound confident. This is called a hallucination. Smaller and newer businesses see this more often, because there are fewer pages about them.

3. Sources online disagree

If your website says one thing, an old directory says another and a review site says a third, the AI has to pick. It does not always pick the right one.

4. It confuses you with another company

Businesses with similar or common names often get mixed up. The AI may blend your details with another company’s founders, location or products.

5. Live search found the wrong page

When ChatGPT searches the web, it reads a handful of pages and summarizes them. If an old press release, a scraped listing or an out-of-date comparison article ranks well, that page can shape the answer.

6. It summarized a correct page badly

Sometimes the source is right, but the AI misreads it. A price for one plan becomes the price for all plans. A past partnership becomes a current one. Vague or cluttered pages make this more likely.

Common inaccuracies generated by AI about businesses

The same types of mistakes come up again and again. Check your brand for each of these.

• Old pricing. Plans, fees or packages that changed months or years ago.
• Wrong location or hours. Closed offices, old addresses or the wrong city.
• Services you do not offer. The AI assumes you do what similar businesses do.
• Wrong founders or leadership. Former executives listed as current, or invented names.
• Wrong founding date or company size. Often pulled from outdated directory profiles.
• Mixed-up identity. Your details merged with a company that has a similar name.
• False status. Claims that you closed, were acquired or rebranded when you did not.
• Wrong product features. Missing features you have, or features you never built.
• Unfair comparisons. Competitor pages that describe you inaccurately get repeated as fact.
• Invented problems. Complaints, lawsuits or controversies that never happened.
• Wrong contact details. Old phone numbers, emails or website addresses.

Risks of misinformation from AI tools for businesses

A wrong AI answer can cost you money even if you never see it. The buyer reads it, decides and moves on. Here is what is at stake.

• Lost leads. If ChatGPT says you do not offer a service, buyers ask someone else.
• Wrong expectations. Customers arrive expecting old prices or features. That creates friction for your sales and support teams.
• Reputation damage. Invented complaints or controversies can put off buyers, partners and job seekers.
• Wasted visits. Wrong addresses and hours send people to the wrong place at the wrong time.
• Compliance problems. In health, finance and legal services, wrong claims about what you offer can create regulatory headaches.
• Due diligence issues. Investors, lenders and partners increasingly use AI tools for quick research.
• Competitor advantage. Every wrong or missing answer about you is a chance for a competitor to be recommended instead.

Missing information is a risk too. If you are not mentioned at all, read our guide on why competitors appear in ChatGPT when your brand doesn’t.

How can I document exactly what ChatGPT says that is wrong about my company?

Good records make every other step easier. They show what needs fixing, give you evidence if you report the error, and prove when the fix worked.

Step 1: Write down the exact prompt

Save the precise words you used. Small wording changes can change the answer. Test a mix of prompts, such as “What does [company] do?”, “How much does [company] cost?” and “Is [company] a good choice for [need]?”

Step 2: Capture the full answer

Take a full screenshot that shows the question, the answer and any sources. In ChatGPT, you can also create a share link to the conversation. Save both.

Step 3: Note the context

Record the date and time, the model name if shown, and whether the answer used web search. Answers with search usually show source links. Answers without them come from the model’s training.

Step 4: Test in a clean session

ChatGPT can remember things you told it before. Test in a logged-out browser or a temporary chat so your own history does not change the answer.

Step 5: Run it more than once

AI answers vary. Run each prompt three to five times. An error that appears every time is a bigger problem than one that shows up once.

Step 6: Check other engines

Run the same prompts in Gemini, Google AI Overviews, Perplexity, Claude and Copilot. If several engines repeat the same mistake, the cause is almost certainly a source on the web. For a deeper look at monitoring, see our guides on tracking brand mentions in ChatGPT and tracking brand mentions in Gemini.

Step 7: Keep a simple log

A spreadsheet is enough. Use columns like these:

How do I find the source ChatGPT is getting wrong company information from?

You cannot see inside the model, but you can usually trace the error. Work through these checks in order.

• Check the cited sources. If the answer used web search, click every source link. The wrong fact is often right there.
• Search for the exact wrong fact. Put the wrong claim in quotes on Google and Bing, for example “[company] founded in 2012”. This often surfaces the page it came from.
• Search your own website. Old blog posts, archived pricing pages, PDFs and forgotten landing pages are common culprits. Use a site search like site:yourdomain.com plus the wrong fact.
• Check major profiles. Look at Google Business Profile, LinkedIn, Crunchbase, Wikipedia, Wikidata, G2, Capterra, Yelp, Trustpilot and industry directories.
• Look at comparison and review articles. “Best tools for…” and “X vs Y” pages are heavily used by AI engines and are often out of date.
• Check forums and communities. Reddit threads, Quora answers and industry forums can shape how AI describes you.
• Look for name confusion. Search your company name without other context. If another company shares a similar name, their details may be leaking into your answers.
• Check old press coverage. Press releases about past funding, launches or partnerships stay online for years and are syndicated widely.

You can also ask ChatGPT where it got the information. Treat the reply with care. It may name a real source, or it may invent one. Always confirm the page exists and actually says what the AI claims.

If you cannot find any source, the error is likely a hallucination caused by too little information. The fix is to publish clear, consistent facts in more places.

Is there a way to directly correct wrong information in ChatGPT about my company?

No. There is currently no way for a business to log in and edit what ChatGPT says about it. OpenAI does not offer a business profile or correction form that changes answers for all users.

Here is what does and does not work:

One exception applies to people rather than companies. Individuals, including founders and sole traders, may have rights under privacy laws such as GDPR to request correction of personal data. OpenAI provides a privacy request process for this. It covers personal information, not general company facts.

How to correct misinformation on AI platforms: the full process

This is the process that works across ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews. The engines differ, but they all depend on the same web of sources.

1. Document the error. Use the log from the section above so you have a clear before picture.
2. Trace the likely source. Find the pages that contain the wrong fact or leave room for it.
3. Fix your own website first. Make the correct facts clear, current and easy to find. Update or redirect old pages that repeat old facts.
4. Add structured data. Use Organization or LocalBusiness schema to state your name, logo, address, contact details and official profiles in a format machines read easily.
5. Fix third-party profiles. Update every profile you control. Claim unclaimed listings.
6. Ask others to update. Politely contact publishers of outdated articles and reviews. Send the correct facts and a link to your source page.
7. Publish fresh, clear content. A dated announcement, updated FAQ or press release gives AI engines a new, authoritative source.
8. Help search engines notice. Request indexing of updated pages in Google Search Console and Bing Webmaster Tools. Several AI assistants draw on these indexes.
9. Report the answer. Use each platform’s feedback tools, with a short correction and your source link.
10. Re-test on a schedule. Run the same prompts weekly. Record when each engine starts giving the right answer.

Expect two speeds of change. Answers that use live web search can improve within days or weeks of the source being fixed and re-crawled. Answers that come from training data only change when the model is updated, which can take months.

What website pages should I update first if ChatGPT has the wrong facts about my company?

Start with the pages AI engines rely on most for basic company facts. Then work outward.

Many businesses also add a simple “Company facts” section to the About page. It lists the key facts in one place: legal name, brand name, founding year, founders, headquarters, service areas, main products and official profile links. It gives AI engines one clear, trusted reference.

After your own site, update these off-site profiles: Google Business Profile, Bing Places, LinkedIn, Crunchbase, your main industry directories, review platforms like G2, Capterra or Trustpilot, and Wikidata if your company qualifies.

Ways to report inaccuracies in AI-generated content

Every major AI platform has a way to flag a bad answer. Menus change often, so look for these options near the answer itself.

When you report, keep it short and factual. State the wrong claim, the correct fact and a link to the page that proves it. One clear report is better than many angry ones.

Be realistic. Feedback helps platforms improve their models, but it rarely changes an answer quickly. Treat reporting as one step, not the whole fix.

How to communicate with AI developers about content issues

Most AI companies do not offer a direct line for businesses to request answer changes. You still have a few channels, from lightest to most serious.

1. In-product feedback. The first step for any error. Quick, and it goes straight to the platform.
2. Help center and support. For repeated or harmful errors, contact the platform through its help center. Include your evidence log.
3. Privacy requests. If the error involves personal data about a real person, such as a founder, use the platform’s privacy request process.
4. Legal requests. For false and damaging claims, a lawyer can send a formal notice or use the platform’s legal reporting forms.

Whichever channel you use, a few habits help:

• Stick to facts. Say what is wrong and what is correct.
• Include proof: screenshots, share links, dates and a link to your official source.
• Explain the harm briefly if it is serious, such as lost bookings or false claims about safety.
• Keep copies of everything you send and any replies.
• Keep fixing the sources while you wait. Do not pause the real fix for a reply that may never come.

Steps to improve AI content accuracy about your business over time

Fixing one error is good. Preventing the next one is better. These habits keep AI answers about your business accurate.

• Keep one source of truth. Maintain a clear company facts section on your website and update it first when anything changes.
• Announce changes clearly. Rebrands, price changes, moves and new services deserve a dated page or press release.
• Keep details identical everywhere. Use the same business name, address, phone and description across all profiles.
• Use structured data. Keep Organization, LocalBusiness, Product and FAQPage schema accurate and current.
• Retire old content properly. Update, redirect or clearly mark outdated pages instead of leaving them live.
• Build more mentions. Reviews, interviews and listings on trusted sites give AI engines more correct information to work with.
• Answer common questions on your site. If buyers ask it, answer it plainly, so the AI does not have to guess.
• Monitor regularly. Run the same set of prompts every week or month and track changes.

AI guidelines for accurate business information

AI engines work best with information that is clear, consistent and easy to verify. Use these guidelines when you write or update anything about your business.

• State facts plainly. “We are based in Colombo and serve clients in the UK and Australia” beats “We have a global footprint”.
• Use one official name. Pick your brand name and use it the same way everywhere. Mention your legal name once where relevant.
• Put the answer first. Answer the question in the first sentence under each heading.
• Date your facts. Add “last updated” dates to pricing, team and policy pages.
• Say what you do not do. A short line like “We do not offer emergency call-outs” prevents a common AI assumption.
• Keep numbers specific. Exact prices, founding year and team size are easier for AI to repeat correctly than vague ranges.
• Link to your official profiles. Use sameAs in your schema and link profiles from your site footer or About page.
• Avoid hiding key facts in images or PDFs. Put them in normal page text.

Companies specializing in AI content verification

“AI content verification” can mean two different things, so it helps to know which one you need.

1. Monitoring what AI says about your brand

These tools run questions about your business across AI engines and flag wrong or missing answers. Options include SiteSignal, Profound, Peec AI and Otterly.AI, and several large SEO platforms now have AI visibility features. When choosing one, check that it flags inaccurate answers, not just mentions, and that it shows which sources the AI used.

SiteSignal tracks your brand across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, flags answers that do not match your facts, and turns the gaps into a weekly action plan.

2. Agencies that fix the sources

SEO and AEO agencies, and online reputation management firms, can do the hands-on work: fixing listings, updating schema, contacting publishers and building new, accurate mentions.

3. Fact-checking your own AI-written content

If your team uses AI to write content, fact-checking tools and editorial review help stop errors before you publish them. This matters because your own pages are a source that AI engines read.

User experiences with correcting AI errors: what businesses usually find

Businesses that go through this process tend to report similar lessons. These patterns are worth knowing before you start.

• The feedback button alone rarely changes much. Most owners who only report errors see the same answer weeks later.
• The source is often closer than expected. An old page on their own site, a forgotten PDF or an outdated directory listing is a frequent cause.
• Search-based answers move first. Perplexity and ChatGPT with search often update after a source is fixed. Answers from training data take much longer.
• Fixing one engine helps others. Because engines share many sources, one good fix often improves several answers.
• Errors can come back. A scraped or syndicated copy of an old page can reintroduce a mistake. Ongoing monitoring catches this.

An illustrative example (not a real client report): A consultancy changed its pricing, but ChatGPT kept quoting the old rate. The team logged the answer, then searched for the old price in quotes. It appeared on the consultancy’s own archived pricing page and in a two-year-old review article. They redirected the old page, added a dated pricing update, and emailed the review site with the new figures. Search-based answers began showing the new price after the pages were re-crawled. Answers without search took longer, so they kept testing monthly.

Legal implications of incorrect AI information about companies

This section is general information, not legal advice. Laws differ by country. Speak to a qualified lawyer about your situation.

Most AI errors are best solved by fixing sources, not by going to court. But when false information causes real harm, the law is starting to respond.

Defamation

A false statement that damages a company’s reputation may count as defamation in some countries. Cases against AI companies are new and hard to win. In the United States, a radio host sued OpenAI after ChatGPT falsely linked him to a fraud case, and a Georgia court ruled in OpenAI’s favour in 2025. Other businesses have filed claims over AI-generated statements, including a lawsuit against Google over its AI Overviews. The law in this area is still developing.

Liability for your own chatbot

If your business runs its own AI chatbot, you may be responsible for what it tells customers. In a well-known 2024 Canadian case, Air Canada was held responsible for wrong refund information its website chatbot gave a customer.

Privacy and data rights

In the EU and UK, GDPR gives people a right to have inaccurate personal data corrected. This applies to individuals, such as founders or sole traders, not to companies as such. Privacy groups have filed complaints against AI providers over false statements about real people.

Regulation

Rules like the EU AI Act add transparency duties for AI systems. They do not yet give businesses a simple right to correct AI answers about themselves.

What to do if the error is serious

• Keep a full evidence log with dates, prompts, screenshots and share links.
• Record the harm, such as lost customers, cancelled deals or complaints.
• Fix the sources you control straight away.
• Report the error through the platform’s feedback and legal channels.
• Get legal advice before making threats or public statements.

Glossary of key terms

Frequently asked questions

Can I contact OpenAI to change what ChatGPT says about my company?

There is no dedicated process for businesses to edit answers. You can report errors with the thumbs-down button and contact support for serious issues. The most reliable fix is updating the web sources ChatGPT learns from and searches.

How long does it take for ChatGPT to show the correct information?

Answers that use live web search can change within days or weeks once the corrected pages are re-crawled. Answers based on training data only change when the model is updated, which can take months.

Why does ChatGPT say something different every time I ask?

AI models generate each answer fresh, so wording and details vary. Run each prompt several times and track how often the error appears, rather than relying on a single result.

Will telling ChatGPT the correct fact fix it for other people?

No. Corrections you make in a chat only affect that conversation, or your own account if memory is on. Other users will not see the change.

Does schema markup help fix wrong AI answers?

It helps. Organization and LocalBusiness schema state your key facts in a clear, machine-readable format. It works best alongside clear page text and consistent third-party profiles.

What if the wrong information comes from a site I do not control?

Contact the publisher with the correct facts and a link to your official source. If they do not respond, publish stronger, more current content of your own and build accurate mentions on other trusted sites.

Can I sue if ChatGPT spreads false claims about my business?

In some countries, false and damaging statements may support a defamation claim, but cases against AI companies are new and difficult. Document everything and speak to a qualified lawyer before taking action.

How can I tell if AI engines are saying wrong things about my business?

Test a fixed set of questions about your company across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews on a regular schedule, or use an AI visibility tool that flags inaccurate answers automatically.

Find out what AI is saying about your company

You cannot fix an error you have not seen. Start by testing the questions your buyers ask, logging the answers and tracing the sources behind any mistakes.

SiteSignal does this for you across the major AI engines. It flags wrong and missing answers, shows the sources behind them, and gives you a weekly plan to fix them. See how SiteSignal works.