Why Your Business Information Is Wrong All Over the Internet — and What It's Costing You

First, what NAP actually is — and where yours lives

NAP is Name, Address, Phone — the core facts that identify your business, plus the facts that travel with them: hours, website, services, categories.

You did not publish most of it. Here's how it spreads:

• You claim (or someone creates) your Google Business Profile.
• Data aggregators — companies like Data Axle, Neustar/Localeze, and Foursquare — collect business data and license it to hundreds of directories, map apps, and voice assistants.
• Directories scrape each other, copying facts — and errors — downstream.
• Customers and strangers suggest edits on maps and review sites.
• Your own old web pages, PDFs, and social profiles keep the versions you published years ago, forever quotable.

Nobody is maintaining this web of copies. Unless you are.

The new cost: AI quotes the wrong version, confidently

Wrong listings used to cost you a confused driver or a missed call. Now they cost you the recommendation itself, because AI assistants assemble their answers from exactly these sources.

The evidence is fresh. Seer Interactive audited AI answers about its own agency (May 1–June 9, 2026): 1,562 prompts across AI Mode, AI Overviews, ChatGPT, Claude, Gemini, and Perplexity — 28,123 answers checked. Two findings should be on every owner's wall:

1. The brand's own website accounted for more than 35% of all citations. The single biggest source of wrong claims about a business is the business's own forgotten pages — old fee pages, archived posts, PDF factsheets, subdomains nobody's looked at in years.
2. When platforms answered, they were right 95.9% of the time — but declined to answer 31.2% of the time, and comparison prompts ("X vs. Y") were declined 80.3% of the time. Translation: where your facts are messy or missing, AI often says nothing about you at all — and whoever published clear, consistent facts wins the answer by default.

And entity confusion is real money. Search Engine Land reported the case of TALA, a UK activewear brand that wasn't being recommended in its own category because Google's Knowledge Graph had it confused with a different TALA in financial services. Two businesses, one name, muddy facts — and the AI recommended neither version confidently. If your name collides with another business, or your listings disagree about who you are, this is your risk, verbatim.

"AI hallucinated it" is usually wrong. Here are the six real sources

When an owner shows us a wrong AI answer, it almost never appeared from nowhere. Sorting the Seer findings into plain language, wrong answers come in six flavors:

• Stale fact — true once, wrong now. Last year's price, the pre-move address, the service you discontinued. Source: a page that still says it.
• Entity confusion — another business with your name (or your old name) bleeds into your answers. Source: muddy, inconsistent identity across listings.
• Borrowed claim — a claim from a competitor, a listicle, or a review gets attributed to you. Source: third-party pages nobody corrected.
• Gap filler — AI had to answer, found nothing published, and improvised around the hole. Source: the fact you never published anywhere.
• Sentiment drift — the summary of your reputation lags reality; a rough patch from 2022 still colors answers after you've fixed the operation. Source: your review profile's history.
• Pure hallucination — genuinely invented. Real, and the rarest of the six.

Five of the six trace back to a page, a listing, or a gap you control. That's the good news hiding in this post: most wrong answers are fixable at the source. A 70-day study by Full Fact — the same 22 questions put to major chatbots daily, 74,000+ facts checked — found that when a source (in their case, the House of Commons Library) corrected a published error, the error largely disappeared from chatbot answers. Fix the source; the answers follow.

The 6-step fix (the audit we run)

Step 1 — Settle your canonical facts, in writing.

Before fixing anything, decide the one true version: exact business name, one primary phone, one address format (suite, abbreviations — pick a format and freeze it), one website, one set of hours. This is the canonical-facts step from our Google Business Profile checklist — it comes first there, and it comes first here, because every fix below is just publishing this document in more places.

Step 2 — Ask what buyers ask, and log every wrong claim.

Run the prompts your customers run — your hours, your address, "best [service] in [city]," "[your business] vs. [competitor]" — in ChatGPT, Perplexity, and Google. Write down every wrong claim word for word. The wording is the clue: AI usually echoes its source's phrasing, which makes the source findable.

Step 3 — Sort each error.

Stale? Entity confusion? Borrowed? Gap? Sentiment? Each type has a different fix, and logging them unsorted is how owners end up "fixing" their homepage five times while the real source — a 2021 PDF — keeps feeding the answer.

Step 4 — Trace each claim to its source.

Follow the citations AI gives you. Search the exact wrong phrase in quotes. Search your own site with site:yourdomain.com plus the wrong fact — owners are routinely stunned by what their own forgotten pages still claim. Then check your Google Business Profile, Bing Places, Apple Business Connect, Yelp, Facebook, and the big directories.

Step 5 — Fix the source, not the symptom.

Update the page, redirect the dead one, delete or correct the PDF, claim and correct every listing, and publish missing facts plainly on your own site (a real FAQ beats a hopeful silence — gap fillers die when the fact exists somewhere quotable). Where a wrong third-party page won't budge, out-publish it: a clear, current page on your own site is the source AI cites most — remember that 35% figure.

Step 6 — Re-check monthly, and update everywhere the same day.

Live-page fixes can clear from AI answers in days to weeks; anything baked into older data takes longer, which is why the discipline matters: any real-world change — move, phone, hours, services — gets updated everywhere, the same day, from your canonical document. Then re-run your Step 2 prompts monthly and log what's changed. This is maintenance, not a project — twenty minutes, like the GBP upkeep rhythm.

Three formatting disciplines that quietly matter

• Exact-match your freeze. You've picked "Suite 200" — then it's Suite 200 everywhere, not Ste. 200 on one site and #200 on another. Small inconsistencies alone rarely sink you; they're the noise that makes the big inconsistencies harder for systems to resolve in your favor.
• Keep call-tracking numbers off your listings. Tracking numbers belong in ads. A tracking number on your profile or directories becomes a second "real" phone in the data ecosystem — and someday it gets disconnected, and that disconnected number is the one AI quotes.
• One profile per platform, per location. Duplicates split your reviews and your authority, and teach every system that your identity is negotiable. Merge or remove them.

What it's costing you, in one list

• Customers sent to an old address or a dead phone number.
• Map Pack rankings diluted by an entity Google can't confidently merge.
• AI answers that describe a business you no longer are — or skip you entirely (that 31.2% silence).
• Trust damage: conflicting facts are a Trustworthiness failure in E-E-A-T terms, and trust is the center of the whole framework.
• Comparison answers won by competitors who simply published cleaner facts.

The bottom line

Your business information is a publication, whether you manage it or not. The internet — and now AI — will keep quoting a version of you. The only question is whether it's the true one. Settle your canonical facts, hunt the wrong versions to their sources, fix them there, and keep the discipline. Fix the source, and the answers fix themselves.