Why ChatGPT Has the Wrong Hours for Your Business

ChatGPT shows the wrong hours for your business because it isn't reading your website. It's pulling from a pile of third-party listings — Google Business Profile, Yelp, Facebook, Apple Maps, old directories — and stitching together an answer. When those sources disagree, the AI doesn't reliably pick the right one. It either guesses, hedges, or quietly drops you from the answer because it can't trust the data. The fix isn't a better website. It's making your business facts identical everywhere they live.

That gap matters more than it used to. A customer no longer scrolls ten blue links and decides for themselves. They ask an assistant "is there a good plumber open near me right now?" and they get one to three names back. If your hours look unreliable, you're not in those three names — not because your work is worse, but because the machine couldn't vouch for you.

Why does ChatGPT show different hours than my website?

Because your website is one source among many, and not the one the AI trusts most.

When you ask an AI assistant about a local business, it isn't loading your homepage and reading the footer. It's drawing on data it has already ingested, or fetching live from the places that aggregate business information at scale. For a small business, the heavy hitters are your Google Business Profile, Yelp, Facebook, Apple Maps / Apple Business Connect, Bing Places, and a long tail of directories you may have forgotten you're on.

Each of those carries its own copy of your hours, address, and phone number. You updated the website when you changed your Saturday hours. You probably did not update the Yelp page a customer created in 2019, the Facebook page an old employee set up, or the Yellow Pages-style directory that scraped you years ago.

So now there are four versions of your Saturday hours floating around. The AI sees all of them. It has no clean way to know which one is current — it just sees disagreement. And disagreement reads as low confidence.

The AI is doing a credibility check, not a lookup

Here's the part that trips people up. We tend to imagine the assistant is reaching into one tidy database and reading a field. It's closer to a careful researcher cross-checking sources.

If three sources say you close at 5 and one says 6, the AI might surface 5 but flag uncertainty, or it might caveat the whole answer with "hours may vary, please call ahead." If your address is formatted three different ways and your phone number appears with two different conventions, the model can't cleanly confirm you're a single, real, operating business. When it can't confirm that, the safest move — from the AI's point of view — is to recommend a competitor it can confirm.

You don't get an error message. You just don't get mentioned.

What is NAP consistency and why does AI care about it?

NAP stands for Name, Address, Phone number — the three core facts that identify your business everywhere online. NAP consistency means those three facts are written exactly the same way across every listing.

This isn't a new idea. Local SEO practitioners have cared about NAP for years because Google used it to verify businesses were real and stable. What changed is the stakes. Search used to forgive small mismatches — you'd still rank, just a little lower. AI assistants are less forgiving, because they're trying to hand a user a confident, single recommendation, not a ranked page of options to sort through.

"Exactly the same" is more literal than it sounds

The mismatches that hurt you are often invisible to a human and obvious to a machine. A person reads all of these as the same business:

• 123 N Main St, Ste 4 vs. 123 North Main Street, Suite 4 vs. 123 Main St #4
• (985) 555-0142 vs. 985-555-0142 vs. 985.555.0142
• Treadway Plumbing vs. Treadway Plumbing LLC vs. Treadway Plumbing & Drain
• Hours listed as "closes 5 PM" on one platform and "closes 6 PM" on another, after a seasonal change you only made in one place

To a matching algorithm, those can register as different entities or conflicting records. The address and phone formatting matter less than the hours and the name, but they all feed the same question the AI is silently asking: is this one real business, and can I trust what it says about itself?

The honest tradeoff: cleaning this up is tedious, unglamorous work. There's no clever trick. But it's also cheap, mostly free, and one of the highest-return things a local business can do for AI visibility right now — because most of your competitors haven't done it either.

How does inconsistent business data actually cost me customers?

It costs you in three quiet ways, and none of them show up in a report that says "you lost this."

1. You drop out of the recommendation set. This is the big one. When someone asks an assistant for "the best [your trade] in [your town]," the model assembles a short list of businesses it's confident about. Confidence is built partly on consistent, corroborated data. A business with clean, matching listings clears that bar more easily than one with four versions of its hours. You're not penalized with a bad review — you're just not in the conversation.

2. You earn a hedge instead of a recommendation. Sometimes you make the list but the AI softens it: "Treadway Plumbing may be open, but I'd call to confirm." That hedge plants doubt at the exact moment the customer was ready to act. A clean, confidently stated answer for a competitor beats a hedged answer for you.

3. The wrong fact gets repeated. If the most-trusted source (often an old Google profile or a high-traffic Yelp page) has stale hours, the AI confidently repeats the stale version. Now a customer drives to your shop at 5:30 on the Saturday you're actually open until 6 — and finds your competitor, whose hours were right. You did the work of being open. You just didn't get credit for it.

The reason this is so easy to miss is that it's a silent failure. Nothing breaks. No alert fires. Your website looks perfect to you, because you check the one source that's correct. The damage happens in answers you never see, given to customers you never meet.

How do I find out what AI assistants are saying about my hours?

Spend twenty minutes acting like your own customer before you fix anything. You can't correct a problem you haven't seen.

Ask the assistants directly. Open ChatGPT, Perplexity, Google's AI overviews, and Gemini, and ask plain customer questions:

• "What are [business name]'s hours?"
• "Is [business name] in [town] open on Saturdays?"
• "What's the phone number for [business name]?"
• "Is there a good [your trade] near [your town] open now?"

Note exactly what comes back. Wrong hours, a hedge ("you may want to confirm"), an outdated phone number, or — the worst sign — not being mentioned at all when you clearly should be. Write down which fact is wrong, because that tells you which listing to hunt down.

Then audit the sources the AI is reading. Pull up your own listings, one platform at a time, and write each fact into a single spreadsheet so the mismatches jump out:

• Google Business Profile
• Yelp
• Facebook
• Apple Maps / Apple Business Connect
• Bing Places
• Any industry directory or chamber-of-commerce page you're listed on

Compare every row against the truth on your own website. The mismatches you find are almost always the exact facts the AI got wrong. That's not a coincidence — it's the whole mechanism in plain view.

If you'd rather see your website's side of this graded automatically before you start the manual hunt, our free 30-second website audit checks how clearly your site states the basics a machine needs to trust you. It won't fix your Yelp page, but it tells you whether your own house is in order first.

The fix: a NAP consistency checklist

Work through this in one focused session. It's not hard — it's just a list nobody enjoys, which is exactly why doing it gives you an edge.

1. Write down the single source of truth. Decide the one correct version of your name, address, phone, and hours — including how each is formatted. Pick a convention (spelled-out "Street" or abbreviated "St," parentheses or dashes on the phone) and commit to it. This document is what every listing must match, character for character.

2. Claim every listing you can find. Search your business name plus your town. Claim the Google, Yelp, Facebook, Apple, and Bing profiles. Claim the duplicates and ghost listings too — old profiles you never made are common, and are often the stale source feeding the AI a wrong answer.

3. Make every field identical. Update name, address, phone, and hours on each platform to match your source of truth exactly. Same spelling, same abbreviations, same punctuation. Boring precision is the entire point.

4. Kill or merge duplicates. Two Google profiles or two Facebook pages for one business is a direct contradiction the AI can't resolve. Merge them where the platform allows, or request removal of the wrong one.

5. State the facts plainly on your own website too. Put your name, address, phone, and hours in clean, readable text in your footer and on a contact page — not buried in an image, not only in a graphic. Schema markup (LocalBusiness) helps machines read it unambiguously, and it's a normal part of how we build sites that are ready for AI to read.

6. Set a recurring check. Hours drift. You change them for a holiday, a season, a new hire — and you update one place. Put a 15-minute calendar reminder once a quarter (and before every holiday) to re-verify all your listings against your source of truth. Consistency isn't a project you finish; it's a habit you keep.

7. Re-test with the assistants. After your changes propagate — give it a couple of weeks, since these platforms don't all update instantly — ask ChatGPT and the others your customer questions again. You're looking for confident, correct, hedge-free answers.

Frequently asked questions

How long until AI assistants show my corrected hours? Plan for a couple of weeks, sometimes longer. AI assistants rely on data that flows through Google, Yelp, and the others, and each platform updates and re-indexes on its own schedule. Make every correction at once so the whole picture stabilizes together, then re-check rather than refreshing daily.

Do I really need to fix small formatting differences like "St" vs "Street"? Prioritize the facts that change the answer first — wrong hours, a wrong phone number, a stale duplicate listing. Formatting consistency is the second pass. It matters because matching algorithms can read formatting differences as different records, but it's lower-leverage than fixing an actual wrong hour. Do the high-impact items today; tidy the formatting after.

My website has the right hours. Why isn't that enough? Because the assistant usually isn't reading your website. It leans on the big aggregators and directories it already trusts. Your correct website competes against your incorrect Yelp or Google listing, and the third-party source frequently wins. Your site needs to be right and match everywhere else.

Is this the same as getting quoted in AI answers? Related, but different. Being citable is about having useful, quotable content the AI can pull into an answer. This is more fundamental: it's about your basic business facts being consistent enough that the AI trusts you enough to recommend you in the first place. You can have great content and still get dropped if your core data doesn't add up.

---

If you've checked your listings and found four versions of your own hours staring back at you, that's the normal starting point — not a sign you did something wrong. Cleaning it up is the kind of unglamorous, high-return work we handle as part of getting a local business genuinely ready for how customers search now — usually starting with one workflow at a time so it's never overwhelming. If you'd rather not spend a Saturday claiming ghost listings yourself, tell us what you found and we'll sort out the consistency problem with you — owner in control, no lock-in.