🔄 Last Updated: August 12, 2026
Technology Writer & Digital Strategist · Upstanding Hackers
Marie Summer is a technology writer and digital strategist covering the intersection of artificial intelligence, consumer technology, and modern work. She breaks down emerging tech trends into practical insights for everyday readers and business decision-makers alike. At Upstanding Hackers, Marie covers AI tools, software reviews, productivity technology, and the human side of digital transformation.
You asked ChatGPT about your own business this week. It said you are still at your old address. Or it listed a service you stopped offering two years ago. Or — worse — it described a competitor and left you out of the answer entirely.
This is not a glitch. It is not random. And you cannot fix it by emailing OpenAI.
A May 2026 study by 5W Public Relations asked AI models 25 core business questions per brand and found that 20% of answers contained material errors. One in five. That means right now, some of your potential customers are receiving confidently stated wrong facts about your business from the AI tool they trust — and they have no reason to question it.
This guide explains exactly why it happens and gives you a five-step process to correct it yourself — for free, without an agency, and without waiting for a new model release.
Why AI Gets Your Business Wrong in the First Place
ChatGPT, Perplexity, and Gemini do not have a file on your business. There is no database entry you can log into and edit. Instead, AI assistants get your business wrong because they associate information probabilistically rather than reading a verified record. The model takes the most likely answer from a messy public footprint and states it with full confidence — which is exactly what makes the error so convincing.
Four specific mechanisms cause most of the wrong answers small businesses encounter.
Stale training data. Every AI model has a training cutoff. If you moved offices, changed your phone number, rebranded, or dropped a service after that cutoff, the model remembers the old version of your business. When ChatGPT answers without searching the web, it answers from that snapshot — not from your current website.
Entity confusion. If another business shares your name, operates in a similar niche, or is mentioned alongside you in comparison articles, AI systems can merge facts from both businesses into one description. You receive a confident answer built from two different companies.
Inconsistent public data. Your old address is still on three directory sites. Your Google Business Profile says one thing. Your website says another. AI reads all of these simultaneously and produces a blended answer that is partially wrong across every source.
Outdated third-party pages. Reviews, directory listings, and press mentions from 2020 are still publicly indexed. AI models weight older cited pages if they have more references pointing to them than your current, updated content. Age and citation count matter more to AI than recency in many cases.
The critical insight here is that you cannot fix the AI directly. You cannot edit an AI engine like ChatGPT. What you can do is correct the sources it reads about your business, and make the accurate version dominant across the web. Everything in this guide focuses on fixing sources — not chasing the AI output.
For context on how AI systems decide which sources to trust when constructing answers, our guide on generative engine optimization for small business covers the full trust and citation framework.
The 4 Specific Things AI Usually Gets Wrong
Before auditing, knowing the most common error types saves time. In practice, small business AI errors cluster into four categories.
Location and contact details. Old addresses, disconnected phone numbers, and outdated business hours are the most frequent errors. These are dangerous because a customer acts on them — drives to the old address, calls a dead number, shows up outside your hours.
Services and specialisations. AI lists services you no longer offer or misses the ones that now define your business. This happens because your old website, old directories, and old press mentions all described the previous version of your business — and those sources still outrank your updated content in AI training weight.
Ownership and team. If your business changed hands, added a partner, or went through any leadership change, AI frequently cites the old version. Former owner names, old LinkedIn profiles, and past press releases all feed this error.
Business status. This is the most damaging error type. If stale data suggests your business closed, relocated, or is inactive, the AI states it as fact with full confidence — and a potential customer looking for exactly your service moves on before visiting your site.
How to Audit What AI Is Saying About You Right Now
This audit takes 20 minutes and costs nothing. Do it before applying any fixes — you need to know what is wrong before you can correct it.
Open four tabs: ChatGPT, Perplexity, Google AI Mode, and Gemini. In each one, ask the following questions using your actual business name:
- “What does [Business Name] do?”
- “Where is [Business Name] located and what are their hours?”
- “Who runs [Business Name]?”
- “What services does [Business Name] offer?”
- “Is [Business Name] still open?”
Screenshot every response. Write down every factual error you find — wrong location, wrong service, wrong owner, wrong status. Note which sources the AI cites when it provides citations. Those cited sources are your highest-priority fix targets.
Additionally, search your business name alongside your category: “best [your service] in [your city].” See whether your business is mentioned, how it is described, and which competitors appear instead of you. This tells you both the accuracy problem and the visibility problem simultaneously.
Most owners already know their weak spots after running this audit, because they have been wondering why AI gets it wrong every time they check. The audit simply confirms what needs fixing and in what order.
5 Steps to Fix What AI Says About Your Business
These steps are ordered by impact and speed. Start with Step 1 and work forward — each one builds on the last.
Step 1 — Fix your Google Business Profile completely.
Your Google Business Profile is the single highest-trust source AI systems use when describing local businesses. When AI systems give wrong information about a company, the root cause is almost always weak or inconsistent entity signals across the web — and Google Business Profile carries more weight than any other individual source.
Update every field: business name, address, phone, hours, website, categories, services, and description. Use the same exact business name format across every field. If your name is “Smith Plumbing LLC,” it should be “Smith Plumbing LLC” everywhere — not “Smith Plumbing,” not “Smith’s Plumbing.” Inconsistency is what creates entity confusion. AI changes reflecting Google Business Profile updates typically appear within two to four weeks.
Step 2 — Publish a definitive About page with plain, quotable sentences.
Publish a page that states the correct facts in plain, quotable sentences — an updated About page, a founder bio, an FAQ that directly answers the exact questions AI engines get wrong.
Write it like a factual briefing document. “Smith Plumbing LLC is a licensed plumbing company based at [current address] in [city], serving [service area] since [year]. The company is owned and operated by [name] and specialises in [current services].” Every sentence should be a complete, standalone, citable fact. Avoid vague marketing language — AI systems extract specifics, not brand voice.
Step 3 — Audit and correct your directory listings.
Search your business name on Google Maps, Yelp, Bing Places, Apple Maps, and your top three industry directories. Update every listing with your current name, address, phone, and website — in that exact consistent format. Pay particular attention to any listing that shows old information, since outdated directory data is one of the two primary failure modes causing AI errors for small businesses.
This step eliminates the conflicting signals that cause AI to blend wrong facts into your description. It also directly improves your Google Business Profile authority because Google cross-references directory consistency as a trust signal.
Step 4 — Create content that directly addresses the specific wrong answer.
If AI consistently says you offer a service you no longer provide, publish a page or FAQ entry that explicitly addresses it: “We no longer offer [old service]. Our current services are [list].” If AI gives your old address, publish content stating your current address with a date: “As of March 2024, Smith Plumbing operates from [new address].” Dated, specific, first-party statements give AI retrieval systems something newer and more authoritative to cite than the stale page causing the error.
If the AI already cites one of your pages for that topic, add a correction section to that exact page — it carries the most trust and will update fastest.
Step 5 — Use the AI feedback mechanisms.
Every major AI platform has a feedback system. In ChatGPT, use the thumbs-down button on wrong responses and select “Incorrect information” — add a factual note specifying exactly what is wrong. In Google AI Overviews, click the feedback icon under the answer, mark it inaccurate, and include the correction with a source URL. In Perplexity, use the feedback option on individual citations.
These feedback mechanisms do not immediately fix the answer. However, they flag the error for human review and model retraining cycles. Combined with correcting the underlying sources, they accelerate the correction timeline.
Source data corrections can be made within days, but AI systems may take 4 to 8 weeks to reflect the changes. ChatGPT’s browsing mode updates faster than its base training data, which only updates with new model releases. Plan for a 30 to 60 day correction timeline after completing all five steps.
For a broader look at how to build the kind of content structure that makes AI systems describe your business accurately from the start — rather than correcting errors after they appear — our guides on agentic SEO for small business and content marketing strategy cover the proactive approach.
What to Do If the Errors Keep Returning
Some businesses find that AI errors return even after applying all five steps. This happens when a competitor’s content, a high-authority review site, or a widely circulated old press article continues to outweigh your corrections in AI training data.
In that case, the solution is volume and authority of correct signals — not perfection of a single source. Publish more content that correctly describes your business. Earn more citations from trusted sources. Get your business listed on higher-authority directories. The AI answer shifts when correct information becomes statistically dominant in what it reads about you.
Furthermore, check whether a similarly named business is causing persistent entity confusion. If another company shares your name, explicitly comparing yourself to them in content — “Not to be confused with [other business], Smith Plumbing LLC is located in [city] and specialises in [services]” — gives AI systems a disambiguation signal they can use.
Our no-code AI automation guide covers how to set up automated monthly checks using free tools so you catch AI errors about your business immediately rather than discovering them weeks after a customer was misled.
FAQs
Why is ChatGPT saying wrong things about my business?
ChatGPT builds descriptions from public sources across the web — not from a verified business database. If your public data is inconsistent, outdated, or shared with a similarly named company, ChatGPT combines those signals into a description that is partially or fully wrong. The fix is correcting the sources it reads, starting with your Google Business Profile and your own website.
Can I contact ChatGPT or OpenAI to fix wrong information about my business?
There is no direct editorial submission process for business facts. However, you can use the thumbs-down feedback mechanism on wrong responses in ChatGPT and flag the specific error with a correction and source URL. The more effective fix is correcting the underlying public sources — website, Google Business Profile, and directory listings — so the AI encounters accurate information the next time it updates or crawls.
How long does it take for AI to show correct information after I fix my sources?
Expect four to eight weeks after correcting your primary sources. ChatGPT’s browsing and retrieval mode updates faster than its base training data. Google AI Overviews typically reflect Google Business Profile corrections within two to four weeks. Perplexity, which retrieves in near-real-time, often reflects source corrections within days. Run the five-question audit again at 30 and 60 days after making corrections to confirm improvement.
What is entity reconciliation and do I need it?
Entity reconciliation is the process of making every public reference to your business consistent — same name format, same address, same phone number, same service descriptions — so AI systems construct one accurate identity for your business rather than blending conflicting versions. Most small businesses need basic entity reconciliation: consistent Google Business Profile, consistent directory listings, and a clear factual About page. More complex cases involving business name confusion or major rebranding may require a deeper audit of third-party citations.
Is it worth hiring an agency to fix what AI says about my business?
The five steps in this guide are genuinely achievable without agency support for most small businesses. Google Business Profile updates, directory corrections, About page rewrites, and feedback submissions are all free and straightforward. Consider professional help only if your business has a persistent entity confusion problem with a similarly named competitor, or if you have more than 20 directory listings to audit and update simultaneously.
