ChatGPT is telling people about your business right now. The question is whether what it is saying is true.
For a growing number of businesses, the answer is no. The AI gets the category wrong. It lists services you do not offer. It describes your company using language pulled from a competitor's website. It confidently states pricing you changed two years ago. And because AI delivers these answers in a calm, authoritative tone with zero disclaimers, the person reading it has no reason to doubt a word of it. They just move on to whoever the AI recommended instead.
This is not a small problem. A 2025 analysis found false information rates of 47% for Perplexity and 40% for ChatGPT across tested queries (Forbes, 2025). For brand-specific queries, the kind a prospective customer runs before making a buying decision, the risk is the same. The AI is not lying on purpose. It is making probabilistic guesses based on whatever information it has scraped from across the web. If that information is outdated, inconsistent, or thin, the guess comes out wrong. And you have no notification, no alert, and no way of knowing it happened unless you go check.
A 2026 Harvard Business Review study found that two-thirds of Gen Z consumers and more than half of Millennials now use AI models to research products and services before buying (HBR, 2026). What the AI says about your business is increasingly the first impression your best prospects get. If that first impression is wrong, you are not just losing a customer. You are losing them to a version of your business that does not exist.
Find out if ChatGPT recommends your business. Run a free AI visibility check at yazeo.com. It takes less than two minutes and shows you exactly which AI platforms mention your business and which ones don't.
Am I on ChatGPT?What kinds of errors does AI make about businesses?
AI brand errors fall into distinct categories, and the fix for each one is different. Understanding which type of error you are dealing with determines how long the correction takes and what work is required.
Categorical misclassification. The AI puts your business in the wrong category entirely. A marketing agency gets described as a software company. A med spa gets confused with a dermatology clinic. This happens when the AI does not have enough clear, consistent signals about what your business actually does, so it fills the gap with its best guess based on partial information. This is the hardest type of error to fix because the AI has learned a confident wrong answer.
Outdated information. The AI describes your business based on information that was accurate a year or two ago but is not anymore. Old pricing. Old services. Old leadership team. Old address. ChatGPT's training data has a cutoff, and even with web browsing capabilities, the model leans heavily on what it learned during training. If you rebranded six months ago, launched a new service line, or changed your pricing structure, the AI may still be describing the old version of your business.
Fabricated details. This is the hallucination problem. The AI generates specific details that sound plausible but are completely invented. It might state that you offer a service you have never provided, name a team member who does not work for you, or describe a product feature that does not exist. One business owner on Reddit described losing a sales opportunity because a prospect had read fabricated product details on ChatGPT and showed up to the call with expectations that could not be met.
Competitor contamination. The AI blends information about your business with information about a competitor. This happens most often when two businesses operate in the same category in the same market with similar names or overlapping service descriptions. The AI does not have enough distinct signals to separate them cleanly, so it merges details from both into a single inaccurate description.
Each of these errors requires a different correction strategy, but they all start in the same place: finding out what the AI is actually saying about you right now.
How do you find out what AI is saying about your business?
The audit is simple but most businesses have never done it. Open ChatGPT, Gemini, Perplexity, and Claude. Ask each one the following questions using your actual business name and location:
"Tell me about [your business name]." "What does [your business name] do?" "Is [your business name] a good option for [your core service] in [your city]?" "What are the reviews like for [your business name]?" "How does [your business name] compare to [your top competitor]?"
Write down every answer. Highlight anything that is wrong, outdated, fabricated, or missing. Pay special attention to how the AI describes your category, your services, your pricing, your location, and your reputation. Then run the same queries next week, because AI responses are not static. They shift as the models update and as new information enters the system.
This audit takes about 20 minutes and it will show you exactly what your prospective customers are seeing before they ever visit your website or pick up the phone. If you have never done this, you are operating blind on a channel that influences a growing share of buying decisions.
Why doesn't updating your website fix what AI says about you?
This is the most common misconception. Business owners discover the AI is saying something wrong, update their website, and assume the problem is solved. It is not.
AI platforms do not pull exclusively from your website. They synthesize information from across the entire web: directories, review sites, news articles, social profiles, Wikipedia, industry databases, forum threads, and cached versions of pages that may no longer exist. Your website is one input among dozens or hundreds. If 30 sources across the web still reflect your old information and only your website shows the new information, the AI will weigh the 30 sources more heavily than the one.
This is why citation consistency matters so much for reputation repair. The AI is looking for consensus across sources. If there is no consensus, it either picks the most common version (which may be wrong) or generates a blended answer that pulls from multiple conflicting sources (which is almost certainly wrong).
The other factor is training data lag. ChatGPT's core model is trained on data up to a specific cutoff date. Even though it now has web browsing capabilities, the model's foundational understanding of your business was formed during training. If the training data contained wrong information, that wrong information has a persistent influence on responses even after you have corrected it everywhere else. Overwriting a confident wrong answer in the model's understanding requires building enough new, consistent, authoritative content across enough credible sources that the correct information becomes the dominant signal.
How do you actually fix what AI says wrong about your business?
The correction process works from the outside in. You are not fixing the AI directly. You are fixing the information environment that the AI draws from, so that the next time it synthesizes an answer about your business, the inputs are accurate and consistent.
Step 1: Audit and document every error. Run the queries described above across every major AI platform. Categorize each error by type: miscategorization, outdated info, fabrication, or competitor contamination. This becomes your correction roadmap.
Step 2: Fix your own properties first. Update your website, Google Business Profile, social media profiles, and any platform you directly control. Make sure your business name, category, services, team, pricing, and contact information are accurate and consistent everywhere you have direct access. This is the foundation, not the solution.
Step 3: Correct third-party citations. This is where the real work happens. Audit every directory, listing, review platform, and third-party source that mentions your business. Correct outdated or wrong information wherever possible. Claim unclaimed listings. Remove duplicates. The goal is to create a consistent, accurate information layer across every source the AI can access. For most businesses, this means touching 40 to 60 individual platforms.
Step 4: Build new authoritative content. Publish content that directly addresses the errors the AI is making. If the AI miscategorizes you, publish content that clearly and repeatedly establishes your correct category across multiple credible sources. If the AI uses outdated pricing, make sure current pricing appears on your site, your Google Business Profile, and any industry directory that displays it. Content structured for AI extraction is critical here. Answer-first format, clear headers, specific facts stated directly.
Step 5: Strengthen your entity authority. The deeper problem behind most AI errors is weak entity authority. The AI does not have enough confident information about your business to get the answer right, so it guesses. Building entity authority means creating a dense, consistent web of information about your business across credible sources. Press coverage in relevant publications. Industry directory listings. Schema markup that communicates your identity in machine-readable terms. A Wikipedia presence if your business qualifies. The more independently verifiable information exists about your business, the less room the AI has to guess wrong.
Step 6: Monitor continuously. AI responses change over time as models update and new information enters the system. What is accurate today might drift again next month if a competitor publishes content that confuses the AI or if a directory listing reverts to old data. Set a monthly cadence for re-running your brand audit queries across all major AI platforms.
How long does it take to fix what AI says about your business?
Honest answer:
Minor corrections like outdated phone numbers or slightly wrong service descriptions can be resolved faster because the competing wrong signal is weaker. The AI just needs enough consistent correct signals to override the old ones. Expect 60 to 90 days for these types of fixes to reflect across AI platforms.
Major corrections like categorical misclassification take longer. If the AI has confidently learned that your marketing agency is a software company, overwriting that requires building a significant body of new content and citations that clearly and consistently establish the correct category. Expect 90 to 180 days for these corrections, and sometimes longer depending on how many sources are reinforcing the wrong information.
The businesses that fix AI misinformation fastest are the ones that treat it as an operational priority, not a one-time project. They work with specialists like Yazeo who execute the actual citation correction, content building, and entity authority work rather than just monitoring the problem and reporting on it.
What happens if you ignore what AI says wrong about your business?
The wrong information compounds. Every day the AI tells a prospective customer the wrong thing about your business, that customer forms an impression based on false information. Some of them never visit your website because the AI already told them something that disqualified you. Some of them visit with wrong expectations and leave disappointed. Some of them call your competitor instead because the AI described them more accurately and confidently.
And because AI platforms are becoming a larger share of the discovery journey, the volume of people receiving wrong information about your business is growing, not shrinking. A 2026 WSJ analysis found that AI-driven brand conversations went from roughly 1 in 10 to 9 in 10 in just a few months as AI search adoption accelerated. The brands that had built accurate information profiles before that shift were already positioned correctly. The ones that had not were represented by whatever outdated or incorrect information the AI could find.
The cost of inaction is not measured in lost rankings. It is measured in lost customers who never knew you existed, or worse, who thought they knew you and decided you were not what they needed based on information that was never true in the first place.