AI is describing your business to potential customers right now. The description might be wrong.
A 2025 Forbes analysis found false information rates of 47% for Perplexity and 40% for ChatGPT across tested queries (Forbes, 2025). Search Engine Land reported that business profile information was only 68% accurate on ChatGPT and Perplexity, compared to 100% accuracy on Gemini (Search Engine Land, 2026). That means roughly one in three AI responses about your business may contain something that is not true. Wrong services listed. Outdated address. Fabricated team members. Incorrect pricing. A business category that does not match what you actually do. And every day, prospective customers are reading those descriptions and making decisions based on them.
The worst part is that most businesses do not know the misinformation exists. They have never asked ChatGPT about their own business. They have never checked what Perplexity says about them. The wrong information sits there, silently misdirecting customers, and because there is no analytics trail for a customer who was sent elsewhere by a wrong AI response, the loss is completely invisible.
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?Why does AI get your business information wrong?
AI misinformation about businesses comes from four sources, and understanding which one is causing your specific problem determines how you fix it.
Outdated training data. ChatGPT's core model was trained on data up to a specific cutoff date. If your business changed after that cutoff (new name, new location, new services, new leadership), the model's foundational understanding is based on old information. Even with web browsing capabilities, the training data creates a baseline that the AI defaults to when real-time retrieval does not produce a strong enough signal to override it.
Inconsistent information across the web. This is the most common cause of AI misinformation for local businesses. Your website says one thing. Your Yelp listing says another. Your Google Business Profile has a third version. An old directory listing that was never updated has a fourth. When the AI encounters multiple conflicting data points, it has to choose one or blend them together. Either way, the result is often inaccurate. The businesses with the worst AI accuracy problems are almost always the ones with the messiest citation profiles.
Thin information environment. When the AI does not have enough reliable information about your business to answer a question accurately, it generates a plausible-sounding response based on patterns in its training data. This is what researchers call hallucination. The business with a thin digital footprint, few directory listings, limited web presence, and sparse review history, gives the AI very little to work with. So the AI fills in the gaps with guesses. Those guesses sound confident but they are often wrong.
Competitor contamination. In markets where similarly named businesses operate, the AI can blend information from two different businesses into a single response. Your address gets paired with a competitor's phone number. Your services get attributed to a different company. This is especially common for businesses with generic names or businesses that operate in the same category and geographic area.
How do you audit what AI is saying wrong about your business?
Run this audit this week. It takes 20 to 30 minutes and will reveal information you need to act on immediately.
Open chatgpt, gemini, perplexity, and claude. for each platform, type these queries using your actual business name and location:
"Tell me about [business name]." "What services does [business name] offer?" "What do customers say about [business name]?" "Is [business name] a good choice for [your core service] in [your city]?" "How does [business name] compare to [your top competitor]?" "What are the hours for [business name]?" "Where is [business name] located?"
Document every answer. Highlight anything that is wrong, outdated, incomplete, or fabricated. Pay special attention to how the AI categorizes your business (is it calling you the right type of business?), which services it lists (are they current?), what it says about your reputation (does it match your actual reviews?), and whether basic facts like address, phone number, and hours are correct.
This audit is your correction roadmap. Every error you identify becomes a specific item on your fix list.
How do you fix what AI says wrong about your business?
There is no edit button for AI. You cannot contact OpenAI and ask them to correct ChatGPT's description of your business. The way to change what AI says about you is to change the information environment the AI draws from, so the next time it generates a response, the inputs are accurate and consistent.
Fix what you control first. Update your website with accurate, current information. Your About page should be a factual reference document stating your correct business name, category, services, location, hours, and credentials. Update your Google Business Profile to match. Update all your social media profiles. Make sure every property you directly control tells the same accurate story.
Correct third-party citations systematically. This is where the real correction happens. Audit every directory, listing, review platform, and data source where your business appears. Correct every inconsistency. Claim unclaimed listings. Remove duplicate profiles. Update outdated information. For most businesses, this means touching 40 to 60 individual platforms. Start with the four major data aggregators (Foursquare, Data Axle, Neustar Localeze, Factual) because corrections at the aggregator level propagate to dozens of downstream directories automatically.
Build new, authoritative content that directly addresses the errors. If the AI miscategorizes you, publish content across multiple credible sources that clearly establishes the correct category. If the AI uses outdated pricing, make sure current pricing appears on your site, your GBP, and relevant directories. Use answer-first content structure to state the correct facts directly so the AI can extract them cleanly. The AI is looking for consensus across sources. The more sources that agree on the correct information, the faster the AI updates.
Implement or correct your schema markup. Schema markup removes the guesswork. When your website includes LocalBusiness schema with your correct name, category, services, address, phone number, and hours in machine-readable format, the AI reads the data directly instead of interpreting your content and potentially getting it wrong. If your schema exists but contains outdated information, update it. If you have no schema at all, implement it. This is the single most effective technical fix for AI information accuracy.
Strengthen your entity authority to reduce hallucination risk. The deeper problem behind most AI errors is weak entity authority. The AI does not have enough confident information about your business, so it guesses. Building entity authority means creating a dense, consistent web of information across credible sources. Press coverage. Industry directory listings. Wikipedia or Wikidata presence if you qualify. Professional association memberships. Each independent source that confirms your correct business information reduces the probability of hallucination.
How long does it take for corrections to take effect?
The timeline depends on the platform and the severity of the error.
Real-time platforms (Perplexity, ChatGPT with browsing, Google AI Overviews): These platforms search the web for each query. Once your corrected information is indexed by search engines and visible on the platforms the AI retrieves from, the corrected information can appear in responses within days to weeks. Perplexity often reflects changes fastest because it searches the live web for every query.
Training-dependent platforms (ChatGPT's base model, Claude): Changes to training data take longer because the correct information needs to enter the model's knowledge through training updates. However, as these platforms increasingly use real-time web retrieval alongside training data, the practical timeline is shrinking. Most corrections are reflected within 60 to 90 days if the new information is strong enough across enough sources.
Major versus minor corrections. Wrong phone numbers or slightly outdated service descriptions correct relatively quickly because the competing wrong signal is weak. Categorical misclassification (the AI thinks your marketing agency is a software company) takes longer because the model has built a confident wrong understanding that requires substantial new evidence to override. Expect 90 to 180 days for major corrections.
What happens if you do not fix the wrong information?
It compounds. Every day the AI tells a prospective customer the wrong thing about your business, that customer makes a decision based on false information. Some dismiss you as not what they need. Some contact you with expectations you cannot meet. Some call a competitor instead because the AI described them more accurately.
And the volume of people receiving wrong information about your business is growing, not shrinking. Bain & Company research shows that ChatGPT's prompt volume grew 70% in the first half of 2025, with shopping queries rising from 7.8% to 9.8% of all prompts (Bain/Trustmary, 2025). More people are asking AI about businesses in your category every month. If the AI's answer about your business is wrong, the number of people receiving that wrong answer is increasing at a compounding rate.
The businesses that fix AI misinformation fastest are the ones that treat it as an operational priority, not a one-time project. They correct their citations, update their schema, publish accurate content, monitor monthly, and adjust when new errors surface. The cost of this work is measured in hours and dollars. The cost of ignoring it is measured in customers who never called.