What to Do When AI Gets Your Business Wrong (and How to Keep It Right)

AI assistants like ChatGPT, Gemini, and Meta AI now answer questions about local businesses directly, and sometimes the answer about yours is wrong: an old phone number, a service you dropped, a branch that closed, or nothing at all. Because buyers act on those answers before they ever reach you, a wrong one costs enquiries you never see. This guide is the hands-on fix: how to test what assistants currently say about your business, how to correct a wrong answer at its source, and how to keep your facts consistent so it stays right. If your bigger question is how to get recommended by AI in the first place, start with how to get your business recommended by AI search engines, then use this guide to audit and defend what they say.

How AI assistants find facts about your business

An assistant that names your business got its information from a small set of places. Training data is the material the model absorbed before a cutoff date. It can be a year or more old, and you cannot edit it. Live web search is how most assistants now handle current questions: they run an ordinary search behind the scenes, open a handful of the top results, and summarize what they read. Around both sits the wider record of your business: your Google Business Profile, review platforms, directories, news mentions, and social pages.

The live search route matters most for a Guyanese business, because it is the one you can influence this month. When someone asks "who installs air conditioners in Georgetown?", the assistant typically searches, reads a few pages, and cross-checks them against each other. Agreement builds confidence. If your website says Sunrise Cooling, your Facebook page says Sunrise Cooling & Electrical Services, and an old directory lists a number that no longer rings, the system has three half-matching sources, and a business it cannot confidently describe is one it tends to leave out of the answer.

Independent mentions act as corroboration. A claim on your own site carries more weight when a Google review, a news story, or another organization's page repeats it. The wider discipline of preparing public information for these systems is called generative engine optimization, and our plain-language GEO explainer covers how answer engines choose sources, the four levers you control, and a category-level testing routine. This guide stays with the practical side: checking, publishing, and correcting the facts about your own business.

Run the questions a real buyer would ask

Before fixing anything, get a baseline on your own name. Open at least two assistants, for example ChatGPT and Gemini, plus Meta AI if your customers live on WhatsApp, and ask the questions a Guyanese customer would ask on the way to choosing you. Each assistant draws on different sources, so the gaps will differ, and that difference is itself useful information.

1. The identity check: "What does [your business name] in [your town] do?" You are testing whether the assistant knows you exist and describes your services correctly, or confuses you with someone else.
2. The contact check: "What is [your business name]'s phone number and how do I contact them?" Old landlines and dead email addresses surface here. A buyer who acts on a stale number is gone, and you will never know the enquiry happened.
3. The price check: "How much does [your business name] charge for [your main service]?" If you publish no prices anywhere, expect a refusal or a guess borrowed from someone else's website.
4. The trust check: "Is [your business name] in Guyana legit? What do their reviews say?" This shows which review sources the assistant leans on for your trade.
5. The shortlist check: "Recommend a [your trade] in [your town]" and note every business named. Those names are your visibility competitors, whoever your real competitors are, and their websites show you what the assistants find easy to cite.

Record the results in a simple sheet: the date, the assistant, whether each fact about you was right, wrong, or missing, which other businesses were named, and any sources cited or linked. The sources column is the most useful one over time, because it reveals which pages assistants actually read for your trade, and therefore exactly where your details need to be present and correct.

Rerun the same questions quarterly. Answers shift as models and indexes update, and the exercise takes under half an hour once the sheet exists. Triage in this order: correct wrong facts about you first, fill in missing basics second, and treat absence from the shortlist as the long game, because it improves as a byproduct of the first two plus the publishing work below.

Make your facts machine-readable

Assistants repeat what they can parse. The goal of this section is to turn scattered or implied information into short factual statements a machine can lift without guessing.

One name, one number, everywhere

Use the exact business name from your registration certificate identically on your website, Google Business Profile, Facebook, Instagram, and any directory. Not one version with "& Sons" on the sign and another without it online. Do the same with a single phone number, ideally your WhatsApp line, published in full international format with a wa.me/592XXXXXXX click-to-chat link. Matching details across profiles are how systems conclude that five pages describe one real business rather than five possible ones.

Prices with as-of dates

A price with a date attached is a fact an assistant can repeat with confidence. "Starter websites from US$399, as of 2026" is quotable, while "contact us for a quote" gives a machine nothing to work with, so the price question gets answered with whatever number someone else published. If your prices vary by job, publish ranges and starting points instead of exact figures, and refresh the date whenever you review them.

FAQ answers that stand alone

Assistants quote fragments, so every FAQ answer on your site should survive with the question removed. "Yes, we do" tells the machine nothing once separated from its question. Compare: "Yes. [Your store name] delivers to Berbice on Tuesdays and Fridays, and delivery costs GY$2,000 for orders under GY$50,000." That version still carries the name, the service, the schedule, and the price when quoted alone. Source these answers from your WhatsApp chats and call log, because the questions customers ask you directly are the same ones they now type into assistants.

A plain facts page

Give every basic fact one permanent home: a single page stating your registered name, what you do, where you operate, opening hours, founding year, starting prices, and how to reach you, all in plain text rather than inside graphics. Firelinkx publishes a company facts page for exactly this purpose, listing our legal entities, founding dates, founder, services, and service area on one page that people and machines can cite. Pair it with structured data markup, which labels the same facts in a format built for software to read.

Then apply the same plainness to your key pages. If your website hides what you do behind stock photos and vague slogans, an assistant has little to repeat. If it says "Firelinkx builds websites and online stores for businesses in Guyana, starting at US$399," that is a concrete fact it can use.

Publish the answers buyers ask assistants for

When an assistant needs to answer "how much does catering for 100 people cost in Georgetown?", it looks for a page that already answers the question. In Guyana that page usually does not exist. Most local businesses publish little beyond a Facebook profile, so a single clear article can make you the only citable source on a topic in the entire country. That position is far easier to win here than in a crowded market, and it is how a small firm ends up named in answers ahead of bigger competitors.

• Collect the ten questions you answer most often on WhatsApp and calls: costs, timelines, delivery areas, what is included, how booking works.
• Answer each on your website with real numbers and dates where possible, either as a short standalone page or as a FAQ on the relevant service page.
• Word the heading the way customers actually phrase the question, because assistants match questions to headings.
• Revisit the pages when prices or policies change. An answer that shows when it was last checked signals to readers and machines that someone maintains it.

This is the same material that earns ordinary Google rankings, so none of the effort is wasted if AI referrals grow slowly in your trade. If nobody in the business has time to write, producing exactly this kind of content is part of our digital marketing service.

When an assistant gets your business wrong

Wrong AI answers about a business are usually traceable. Assistants rarely invent a phone number or an address from nothing. They repeat a stale source: an old directory listing, a Facebook page from a previous location, a closed branch still on the map, or your own website describing a service you dropped years ago. The most common culprit we find is a business's own outdated page rather than a third-party site, so the first move is to locate the source rather than argue with the chatbot.

1. Ask the assistant where the claim comes from. Assistants that search the web usually cite or will name their sources, which hands you the exact page to fix.
2. Correct every page you control the same day: your website, your Google Business Profile, and your social media bios.
3. Chase the pages you do not control. Ask directories to update or remove old listings, and ask the owner of any page carrying your old details to correct them. Some will ignore you, which is why the next step matters more.
4. Publish the correct fact prominently on your own site, with a date. A dated line on your facts page stating "our only phone number is +592 XXX XXXX" gives every future search something newer and more authoritative to read than the stale listing.
5. Use the assistant's feedback controls, the thumbs-down or report option on the answer, so the error is logged. Do not rely on that alone to fix anything.

Be realistic about timing. An assistant that searches the live web can reflect your corrections within weeks, once the fixed pages are recrawled. An error absorbed into training data can persist until the next model update, which may be months away and is outside anyone's control. Name collisions deserve special care in a small market: if a business in Trinidad or Jamaica shares your name, assistants can blend the two, so state "in Guyana" and your town on every page and profile until the two cannot be confused.

Where this meets ordinary SEO

Very little of this work is exotic. A fast site, plain service pages, a complete Google Business Profile, genuine reviews, and published answers improve your Google results and your AI answers at the same time, and Google's own search documentation teaches the same fundamentals. If the basics are not in place yet, start with getting your business found on Google in Guyana, and treat the quarterly test above as the scoreboard for both.