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What Does ChatGPT Say About My Business? How to Check It and Fix What’s Wrong

ChatGPT Ads Common Errors and How to Fix Them

Ask it. Open ChatGPT and type your business name plus your city, then ask what the business does, where it is, and when it is open. Repeat in Google’s AI results, Perplexity, Gemini, and Copilot. You will usually find at least one confident error within five minutes, and confident is the problem.

 

AI assistants do not tell the person asking that they are unsure. They produce a clean paragraph, and the customer treats it as the answer. If that paragraph says you close at 5pm when you close at 7pm, or lists a service you stopped offering two years ago, nobody flags it. You simply lose the call.

 

This post covers the self-test, where the wrong information comes from, and how to correct it. The short version is that you do not fix the chatbot. You fix what the chatbot reads.

How do you check what AI says about your business?

Run the same five prompts across five assistants and write down what each one says. The point is not to find one error. It is to see where the assistants disagree, because disagreement tells you which source is feeding the bad answer.

 

The self-test we run for clients:

 

  1. “Tell me about [business name] in [city].” The baseline. Check the description, the location, and whether it has confused you with a similarly named business somewhere else.
  2. “What services does [business name] offer?” Look for services you dropped and services you added. Both errors are common and the second one costs you more.
  3. “What are [business name]’s hours?” The most frequently wrong answer and the easiest to verify.
  4. “Is [business name] any good? What do reviews say?” See which review platforms it pulls from and whether it is summarizing fairly or quoting one outlier.
  5. “Who are the best [your category] in [city]?” The one that matters commercially. If you are not in that list, that is a visibility problem rather than an accuracy problem, and it is a different fix.

 

Run each one in a fresh chat with no prior context, and run them signed out where you can. A logged-in session carries history that skews the answer toward what you have asked before, which makes your results look better than a stranger’s.

 

Keep the answers in a document with the date. You need the before state to know whether a correction worked, and six weeks from now you will not remember exactly what it said.

Why does this matter now rather than next year?

Because adoption moved faster than almost anything else in local search. BrightLocal’s 2026 Local Consumer Review Survey found that 45% of consumers now use AI tools for local business recommendations, up from 6% a year earlier, which makes AI the third most-used source behind Google and Facebook and puts it ahead of Yelp and TripAdvisor.

 

A second survey found much the same thing from a different angle. Yext surveyed 1,120 US adults in March 2026 and reported that 47% had used AI to search for a local business in the previous month, rising to 59% among people who search locally every day.

 

Here is the part that changes what you should do about it. In the same BrightLocal research, 88% of AI users said they fact-check the sources an AI tool cites, and 42% always verify on a native review platform. Consumers are using AI as a first step and then checking your listings and reviews before they act.

 

So the assistant is not the destination. It is the thing that decides whether you make the shortlist, and the verification that follows lands on your Google profile, your reviews, and your website. Accuracy across those three is what determines whether the shortlist survives contact with the customer.

Where do AI assistants get their information about you?

From a handful of sources that you mostly control, which is the encouraging part. Assistants do not know anything about your business directly. They summarize what the open web and licensed data say, weighted toward sources that look authoritative and consistent.

 

Source What it drives How much control you have
Your own website Description, services, location, pricing language Total. This is the highest-value fix
Google Business Profile Hours, category, address, phone, attributes Total, and frequently neglected
Other listings and directories Corroboration. Assistants favor facts that agree across sources High, but tedious across many sites
Reviews on Google, Yelp, Facebook Reputation summaries and the “is it good” answer Indirect. You influence volume and responses, not content
Press, blogs, and third-party mentions Authority and specifics an assistant will repeat verbatim Moderate. Worth correcting the significant ones
Wikipedia and Wikidata Entity basics for larger organizations Low, and rarely relevant for a small business
Old cached pages and dead URLs Outdated claims that outlive the page they came from Low. Usually fixed by publishing a stronger current source

 

Notice that the two sources with the most influence are the two you fully own. Most of the bad answers we chase down trace back to a website that never got updated or a Google profile that has not been touched since it was created.

What kinds of things do they actually get wrong?

The errors fall into predictable categories, and knowing which category you are looking at tells you where to go fix it.

 

Hours. The most common by a wide margin, and the most damaging, because it sends someone to a closed door.

 

Services you no longer offer. A page you never deleted keeps advertising something you stopped doing. The assistant reads the page and repeats it, and now you are fielding calls for work you do not do.

 

Services you do offer and it never mentions. Quieter and more expensive. If you added a service line last year and only announced it on social media, no durable source exists for an assistant to read.

 

Identity confusion. A similarly named business in another state gets blended with yours. Reviews, addresses, and sometimes an owner’s name come from the other company. This one alarms clients more than any other and it is usually fixable with consistent naming.

 

Stale location details. A suite number from a previous office, or a service area that no longer matches where you work.

 

Invented specifics. Occasionally an assistant will produce a price, a founding year, or a staff count that appears nowhere. These are the hardest to chase, because there is no wrong source to correct, only a thin one to strengthen.

 

The pattern we see across accounts is that businesses expect the exotic failure and get the boring one. It is almost always hours, a dead services page, or a naming inconsistency, and all three are fixable in an afternoon.

“You cannot argue with a chatbot about your own business. You can only make the correct answer easier to find than the wrong one.”

— Liz Mbwambo, Upwynn Marketing

How do you fix a wrong answer?

Correct the underlying sources, then wait for the models and their retrieval layers to pick the change up. There is no support line for this, and treating the assistant as the thing to be corrected wastes weeks.

 

The order we work in, because earlier steps make later ones unnecessary:

 

  1. Fix your website first. Put the correct hours, services, address, and a plain description of what you do on pages that are easy to find and crawl. Delete or redirect pages for services you no longer offer rather than leaving them live.
  2. Fix your Google Business Profile. Hours, category, address, phone, services, attributes. This feeds a large share of local answers.
  3. Make your listings agree with each other. Identical business name, identical address format, identical phone. Assistants weight facts that corroborate, so three sources agreeing beats one source being right.
  4. Publish the thing that does not exist yet. If an assistant never mentions your newest service, the fix is a real page about that service, not a stronger assertion on an existing page.
  5. Correct significant third-party mentions. Directory entries, chamber listings, old press. Prioritize anything that ranks or gets cited.
  6. Build review volume and respond to reviews. This shapes the reputation summary, which is the part you cannot edit directly.
  7. Re-run the self-test in four to six weeks. Compare to your dated notes.

 

Schema markup helps here, and it is added by hand after content is written rather than generated automatically. Structured data for your organization, location, and hours gives assistants an unambiguous machine-readable version of the facts you just corrected.

What is an entity, and why does it decide what AI gets right?

An entity is the thing an assistant thinks your business is: a single record assembled from every mention of you across the web. Search and AI systems do not store your website, they store a concept of your business, and everything they say about you is generated from that concept.

 

This is why small inconsistencies matter more than they seem to. If you are “Upwynn Marketing” in one place, “Upwynn Marketing Group” in another, and “Upwynn” in a third, you may be sitting in two or three partial entities rather than one strong one. Each fragment carries some of the truth and none of them carry all of it.

 

What we do about it is dull and effective. Pick one exact business name, one address format, one phone number, one description of the positioning, and use them everywhere without variation. Then make sure the website states them plainly in text rather than only in an image or a logo.

 

If you want the mechanics of how this interacts with search generally, our plain-English guide to SEO, AEO, and GEO explains where each one applies, and our breakdown of how ChatGPT recommends local businesses covers the four signals that decide whether you are in the recommendation at all.

How long does a correction take to show up?

Expect weeks, not days, and expect different assistants to update at different speeds. Anything that reads live search results, including Google’s AI results and Perplexity, can reflect a website change within days. Answers drawn from model training rather than retrieval can lag much longer.

 

Three things shorten the wait. Fixing the source that ranks highest for your business name, because that is the one most likely to be retrieved. Making the correct fact appear in more than one place, since corroboration speeds adoption. And giving the correction its own crawlable page when it is important, rather than burying it in a paragraph.

 

What does not work is repetition inside a chat window. Telling ChatGPT it is wrong changes that conversation and nothing else. The next person who asks gets the original answer.

What if AI is recommending your competitors instead of you?

That is a visibility problem, not an accuracy problem, and it has a different fix. Accuracy work makes sure the facts about you are right. Visibility work is about whether you get mentioned at all when somebody asks for the best option in your category.

 

What tends to move it: review volume and recency, being present on the platforms assistants cite most, having pages that directly answer the question being asked rather than describing your company, and third-party mentions that place you in the category. Original data and genuinely useful content get cited by assistants far more readily than service-page copy.

 

For a Central Florida business there is a local wrinkle worth knowing. Assistants answering “near me” style questions lean on locality signals, and Orlando has enough similarly named businesses across the metro that identity confusion is a real and frequent problem here. We see it most in home services and medical, where several practices share a common word in the name across Orange, Seminole, and Osceola counties. Consistent naming and a precise address do more for those businesses than any content investment.

What should your website say so assistants get it right?

State the facts plainly, in text, on pages that exist for that purpose. Assistants are not clever readers. They reward pages that answer a question directly and struggle with marketing copy that circles a topic without landing on anything specific.

 

What we add or rewrite when we take over a site with an AI accuracy problem:

 

  • A real about page with the basics as text. What the business does, where it operates, when it started, who runs it. Not a mission statement. An assistant cannot extract “we are passionate about excellence.”
  • One page per service. Named the way a customer would say it. A single page listing nine services gives an assistant almost nothing to work with per service.
  • Hours and address in text, not in an image. A graphic in the footer is invisible to a crawler. So is text baked into a hero image.
  • A service-area page or a plain sentence naming the cities you cover. “Serving Orlando, Winter Park, Altamonte Springs, and Kissimmee” is extractable. “Serving Central Florida and beyond” is not.
  • An FAQ section answering the questions people actually ask. Written as questions, answered in the first sentence. This is the format assistants quote most readily.
  • A dated page for anything that changes. New service, new location, new hours policy. A dated page is a strong signal about which version of a fact is current.

 

There is one more thing worth doing that most businesses skip. Write the sentence you want an assistant to say about you, then check whether that sentence, or something close to it, appears anywhere on your own site in plain language. Often it does not. Everybody knows their own positioning and nobody has written it down in a form a machine can lift.

 

Contradictions are worse than gaps. A page that says you are open Saturdays and another that says weekdays only leaves the assistant to choose, and it will choose without telling anyone. When we audit a site the first pass is not adding content, it is finding the two pages that disagree with each other and deciding which one is telling the truth.

How often should you check?

Quarterly for most businesses, and monthly if you changed something material. Put it on the calendar, because nobody does this reactively. The customer who got the wrong answer does not report it.

 

Check immediately after any of these: a move, a phone number change, adding or dropping a service, a rebrand or name change, a change in hours that lasts more than a week, or an ownership change. Each one creates a period where the web says two different things about you, and the assistants will pick whichever one looks better sourced rather than whichever one is newer. That is the whole reason this stays on a calendar instead of a to-do list.

 

Want to know what AI is telling your customers right now? Upwynn Marketing runs an AI visibility audit that tests what the major assistants say about your business and where the wrong answers come from, and we will walk you through the findings in a free consultation. We use real experience and 90+ data sources for the best targeting, with no long-term contracts and hands-on support. Start with our SEO and AEO services.

Frequently asked questions

How do I find out what ChatGPT says about my business?

 

Open a new chat and ask it to tell you about your business by name and city, then ask separately about your services, hours, and reviews. Do the same in Google’s AI results, Perplexity, Gemini, and Copilot, signed out where possible, and save the answers with the date so you can tell later whether a correction worked.

 

Can I contact ChatGPT to correct information about my business?

 

Not in any practical way for a small business. There is no listings desk. Corrections happen by fixing the sources the assistants read, which means your website, your Google Business Profile, and your other listings, then waiting for the change to be picked up.

 

How long does it take for AI to update information about my business?

 

Usually weeks. Assistants that read live search results can reflect a website change within days, while answers generated from training data lag considerably longer. Fixing the highest-ranking source first and repeating the correct fact across several places speeds it up.

 

Why does AI confuse my business with another company?

 

Because your name appears inconsistently across the web, or because a similarly named business elsewhere has stronger, more consistent signals. Standardize on one exact business name, one address format, and one phone number everywhere, and state them as text on your site rather than only inside a logo image.

 

Does any of this matter if customers still use Google?

 

Yes, and the two are connected. BrightLocal’s 2026 survey put AI third among sources for local recommendations, and found 88% of AI users fact-check what they are told. AI increasingly decides who makes the shortlist, and your Google profile and reviews decide whether you survive the check that follows.

 

Written by Liz Mbwambo, Founder + CEO of Upwynn Marketing, an Orlando data-driven marketing agency. Connect with Liz on LinkedIn.

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Five Upwynn Marketing team members posing with laptops
Five Upwynn Marketing team members posing with laptops