5 Reasons AI Gets Your Business Wrong (And How to Fix It)

Ask ChatGPT about your company and you might get hours you changed two years ago, a service you no longer offer, or a description that belongs to a business three provinces away.

The instinct is to blame the model. Usually the model is not the problem. Answer engines assemble a picture of your business from whatever public information they can find, and when that information is thin, stale, or contradictory, they fill the gaps with the most confident-looking source available. Often that source is not you.

Here are the five causes we see most often in audits, and what actually fixes each one.

1. Your business name is not as unique as you think

This is the one nobody expects, and it is the hardest to fix with content alone.

Answer engines work with entities, not just keywords. An entity is a specific thing in the world, and the model has to decide which specific thing you are before it can describe you accurately. When two or three businesses share a name, that decision gets made badly.

We diagnosed this on a client property that shares its name with shopping centres in Australia and the United States. Perplexity blended all three into a single answer, then fell back on Tripadvisor, Yelp, and Waze rather than the client's own site. The content on that site was good. The name was ambiguous, and ambiguity beat quality.

**The fix:** anchor your identity to things that cannot be confused. Consistent full legal name, city and region stated explicitly on every important page, and clear links between your website, your Google Business Profile, and your social profiles so the model can see they describe one organization. Where the name collision is severe, always pair the name with the location in your own copy.

2. The basic facts disagree across the web

Your website says one set of hours. Your Google Business Profile says another. A directory you forgot about in 2019 lists a phone number you no longer answer.

Answer engines cross-check. When your name, address, and phone number vary across sources, confidence in every source drops, including your own site. The model does not know which version is current, so it either picks one at random or hedges.

**The fix:** audit the top directories and profiles for your business, correct the mismatches, and pick one canonical format for your address and phone number. Use it everywhere, down to the punctuation. This is unglamorous work and it moves AI accuracy more reliably than almost anything else.

3. Pages you never retired are still the clearest answer on your site

Most sites accumulate pages nobody links to any more. A discontinued service. A location that closed. A 2023 pricing page that was never deleted, only unlinked from the menu.

Humans never see those pages. Crawlers do, and so do the models reading your site. If an old page states something plainly and your current page states it vaguely, the old page wins, because extractable beats are accurate.

**The fix:** run a full crawl and list every indexable page. Redirect what is obsolete, delete what is dead, and make sure the current version of every important fact is stated in plain sentences rather than implied by a graphic or buried in a PDF.

4. A directory is better organized than your own website

When your site does not present your information in a structured, extractable form, answer engines reach for sources that do. Directory listings, review platforms, and aggregators are built for exactly this kind of extraction.

That is how a business ends up described accurately in its category and inaccurately in its details. The model found a tidy third-party record and used it, because your own site made the information harder to lift.

**The fix:** structure the information yourself. Clear headings that match real questions, short factual answers underneath them, and correct schema markup so the machine-readable version of your page agrees with what visitors see. We covered the specific markup errors in [7 Structured Data Mistakes That Keep Businesses Out of AI Answers].

5. Nobody has checked, so nobody has corrected it

The most common reason AI describes a business incorrectly is that no one at the business has ever looked.

Traditional search made errors visible. You could see your listing, read your snippet, and notice a problem. AI answers are generated privately, one conversation at a time, in a place where you are not standing. A prospect can receive a wrong answer about your pricing, decide against calling you, and you will never know the conversation happened.

**The fix:** check on a schedule. Ask the four or five questions a real buyer would ask, across ChatGPT, Perplexity, Copilot, and Google's AI results, and write down what comes back. Repeat monthly. The point is not the single answer, it is the change over time and whether your corrections are landing.

The pattern underneath all five

Every one of these causes comes back to the same thing. Answer engines reward businesses whose public information is unambiguous, consistent, and easy to extract, and quietly penalize the ones whose information requires interpretation.

None of it is exotic. It is the same discipline that makes a good website, applied to a reader that cannot ask a follow-up question.

Frequently Asked Questions

**Why does ChatGPT give wrong information about my business?**

Usually because the information it found was outdated, contradictory across sources, or belonged to a similarly named business. Models generate answers from available public data, so gaps and conflicts in that data show up as errors in the answer.

**Can I contact OpenAI or Perplexity to correct information about my company?**

There is no reliable listing-correction process the way there is with Google Business Profile. The practical route is to fix the underlying sources, which means your own site, your business profiles, and the directories the assistants draw on, then verify that the answers change.

**How long does it take for corrections to appear in AI answers?**

It varies by engine. Assistants with live web access can reflect changes within days of recrawling, while answers drawn from training data can lag considerably. Expect weeks rather than hours, and keep checking.

**Is this different from regular SEO?**

It overlaps but it is not the same job. Traditional SEO competes for a ranked position. AI search optimization is about being the clearest, most trustworthy source of specific facts, so a model can quote you without hedging.

Not sure what AI is saying about you?

We run a free AI Visibility Check that asks the questions your customers ask, records exactly how the assistants describe your business, and shows you which sources they trusted instead of your own site.

Start at [emdigital.ca/ai-visibility-check].