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    AI Gives Wrong Information About Your Company: How to Fix It Step by Step

    2026-04-09·9 min read

    You open ChatGPT, ask about your own company, and discover it says your product costs twice the actual price. Or that you offer a service you stopped providing two years ago. Or worse: it confuses your brand with another and attributes negative reviews that aren't yours.

    Many businesses are finding the same thing: AI models can say incorrect things about a brand, and there's no general "report error" button that fixes it. If you're wondering how to stop AI from giving wrong information about your company, this is for you.

    There are ways to improve it. This guide explains why it happens, what you can do about it and how to reduce the chance of it happening again. Whether ChatGPT says incorrect things about your business or Gemini confuses your brand, the approach is similar.

    Why AI Gets Things Wrong About Your Company

    Language models like ChatGPT, Gemini, Claude and Perplexity don't consult a verified database of companies. Their answers draw on what the model learned during training and, when they search the web, on the pages they find. Either can be outdated, incomplete or wrong.

    Common causes of wrong AI information about a brand:

    Outdated data in training data. ChatGPT is trained on data with a cutoff date. If your company changed its address, prices, or services after that date, ChatGPT may still be saying the old information.

    Inconsistencies across your own sources. If your website says one thing, your Google Business Profile says another, and your LinkedIn profile says a third, the AI doesn't know which is correct and may "mix" information or choose the wrong one.

    Unclear information on your own site. If your pages don't state plainly what your company is, what it offers and at what price, answers have to rely on third parties or on inference. Accurate schema markup can help describe those facts, alongside clear visible text.

    Entity confusion. If your brand name is similar to another company, AI can confuse you. This is especially common with generic names or small brands with limited digital presence compared to a more well-known namesake.

    Incorrect information in external sources. If a forum, article, or review contains wrong information about your company, AI can pick it up as if it were true.

    What Usually Doesn't Fix It

    Before the steps, some approaches that rarely solve the problem on their own:

    Asking OpenAI, Google or Anthropic to change a specific answer. There's no general process to edit what a model says about your company, and models don't have editable company profiles. Some providers offer feedback buttons or legal and privacy request channels for specific cases, such as personal data or defamation, so check their current policies if that applies to you.

    Asking ChatGPT to "remember" the correct information. Models don't retain corrections from one conversation to another (except personal user memory, which doesn't affect other users).

    Relying on press releases alone. A press release that isn't picked up by other sources adds little independent evidence. It can help if media cover the correction, but it's rarely enough on its own. See our post on the sources AI uses.

    6 Steps to Correct What AI Says About Your Company

    Step 1: Diagnose Exactly What It Says Wrong

    Before correcting anything, you need to know exactly what each model is saying about you. Don't rely on a single ChatGPT test — responses vary.

    Use an AI visibility measurement tool like Mentio to run a complete analysis. Note not only whether you appear, but what it says about you: mentioned prices, attributed services, indicated location, competitors it compares you with, and overall sentiment.

    Test across multiple models: ChatGPT, Gemini, Perplexity, Claude. Each one can have different information (and be wrong in different ways).

    Step 2: Audit Your Own Digital Presence

    Inconsistencies in your own sources are a frequent cause of incorrect answers, so start there. Review and compare data across:

    Your website (prices updated? current services? correct address?). Google Business Profile (hours, phone, category correct?). LinkedIn (company page and employee profiles). Review platforms and directories (TripAdvisor, G2, Capterra, industry directories). Social media (bio, description, links).

    Rule of thumb: every platform where your brand appears should state the same core facts. Inconsistencies make it more likely that an answer mixes old and new information.

    Step 3: Update Your Website with Clear, Structured Data

    Your website is the source you have the most control over. Make sure the correct information appears in the first paragraphs of your main pages, not buried in a PDF or in the fine print.

    Implement structured data (schema markup) that explicitly tells AI: your company name, services you offer, current prices, location with GPS coordinates, hours, and any data that AI is getting wrong.

    Schema is a structured description of facts already visible on the page. It doesn't force a model to use them, but it makes them easier to read unambiguously.

    Step 4: Fix or Update All External Sources

    Go platform by platform and update the information. Prioritize by impact:

    Google Business Profile (a key source for Google's local results and AI features). Review sites such as TripAdvisor, Yelp or G2, depending on your sector. LinkedIn (company page and key profiles). Industry directories in your country. Any site where outdated information appears.

    If there are articles or third-party publications with wrong information, contact the author or publication to request a correction. Some will do it, others won't — but it's worth trying for the most authoritative sources.

    Step 5: Create Content That Establishes the Correct Narrative

    If AI says your product is expensive, publish a comparative article with real prices. If it says you don't offer a service that you do, create a specific page for that service with structured data. If it confuses your brand with another, reinforce your entity identity with Organization schema, Wikipedia (if applicable), and content that clearly differentiates your brand.

    The idea is to make the correct information easy to find in several credible places. There's no published rule for how models weigh conflicting sources, but when accurate, consistent information is widespread and the wrong version is corrected or isolated, answers are more likely to reflect the correct one.

    Step 6: Monitor and Repeat

    After making changes, give it time. Answers that use web search (Perplexity, ChatGPT or Gemini with search) can reflect changes once the updated pages are crawled. What a model learned in training only changes when the provider releases an updated model, which can take months.

    That's why it's worth re-checking regularly. Run the same questions again with Mentio or by hand to see whether the corrected information appears. If an answer that uses search is still wrong after a few weeks, look for a source you haven't updated; if it's a training-based answer, it may simply need a newer model.

    Special Case: AI Recommends Your Competitor Instead of You

    This isn't strictly wrong information, but it's a common frustration: you ask ChatGPT about your industry and your competitor appears, not you.

    A frequent reason is that your competitor has more public information in the sources answers draw on: more reviews, more media mentions, clearer content, more directory listings. Check which sources the answers show before concluding.

    The answer is to compete on those sources. Apply the complete AI SEO strategy: content that answers real questions, presence in external sources, structured data, reviews and regular measurement. Many companies haven't worked on this yet, so consistent effort can make a difference, although results aren't guaranteed.

    Preventing Future Errors

    Keeping your public information clean and consistent reduces the chance of errors. Useful habits:

    Update your website whenever prices, services or contact details change. Keep your Google Business Profile current. Respond to reviews, since responses are public too. Keep your schema markup accurate. Check what AI answers say about you regularly, for example monthly, to catch problems early.

    To catch these errors early around a specific date, apply the system described in how to monitor a product launch in AI.

    Find Out What AI Says About Your Company Now

    The first step is knowing what each model says about you. With Mentio you can run an analysis and see what the models included in your plan (Free: ChatGPT; Personal: one of the five models; Pro: two of the five; Enterprise: all five) say about your brand, with what sentiment and which details.

    If there's wrong information, you'll see it in the answers, and this guide gives you the steps to start correcting it.

    When corrections require rebuilding names, aliases or relations, pair them with an AI brand entity audit that documents what each piece is before publishing again.

    Find out what AI says about your company →

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