What does ChatGPT say when someone asks about your business?

In June 2026, more than half of Hungarian adults had used artificial intelligence within a single month — measured by the Hungarian AI Index survey. Whoever looks for an accountant, a dentist or a developer today has ChatGPT or Gemini at hand, and those give one answer, not ten links. The results page gave you ten chances, the answer gives you one.

This article describes what that changes and what you can do about it — the way I would explain it to one of my clients, without the jargon.

Try it with your own business

You do not need a specialist for this, three questions are enough. Open ChatGPT or any similar service, and ask:

• “Which [your trade] business would you recommend in [your town]?”
• “What do you know about [your business name]?”
• “What should I look out for when ordering [your service]?”

The answer can differ by day and by service, so a single good or bad answer is not worth far-reaching conclusions. The pattern is what matters: whether you appear in the picture at all, and whether the model says about you what you would say yourself.

What has changed in search?

For a long time search gave you addresses: you typed something, you got ten links, and you decided which one to click. The new layer gives you an answer. Above Google's results there is, more and more often, a summary — and ChatGPT is a conversation to begin with, there is no results page at all.

The answer does not come from nowhere. The model reads source pages — websites, articles, databases — and builds a few sentences from them, often naming the source an assertion comes from. Whoever got an answer clicks on less, because someone has already replied to their question.

By 2026 the scale can be stated plainly. ChatGPT is used by 900 million people a week, per OpenAI's February 2026 disclosure; Google's answer summaries are seen by two and a half billion people a month, and the Gemini app is used by 900 million — the latter two announced by Google in May 2026. These are not novelty numbers any more, this is the everyday state of search.

The two big systems do not walk the same road. Gemini and Google's answer box work from the Google search index — what Google reads well, they read well. ChatGPT builds its own map from other sources. For a business this means there are two gates to fit through, not one — but tidy content fits through both.

• Your website if machines can read it
• Other websites competitors, listings
• Articles, reviews mentions of you
• Question “who do you recommend?”
• Language model builds the answer
• One answer a few sources quoted

this is what it reads

What does this mean for a small business?

Two things happen at once. Fewer clicks make it through to websites, because the answer settles many questions on the spot. But whoever is in the answer gets more than the ten blue links ever gave them — the model mentions them by name, as a recommendation.

Meanwhile the users are ahead of the businesses. In Microsoft's 147-country survey published in spring 2026, Hungary — my home market — ranks 19th in the world for AI use, first among the Visegrád countries. The content of the businesses is not there yet: most small-business websites are hard for a machine to read, so the models pick from few sources.

That is not a problem, it is a gap. The order that hardened over years in the world of ten blue links is being dealt out again — and what lifts you into the new order is not ad spend but readable, verifiable content. Whoever tidies up their content now shares the answers with few competitors — later that list gets denser.

What gets a business into an AI answer?

It does not hang on a single setting. It hangs on four things that together make a business visible and quotable to the machine.

A machine-readable website

The model does not look at your page, it reads it. Sliders, animations, text baked into images do not exist for it. What counts: clear headings, actual text, and a data layer under the code that says the same things in machine-readable form — who you are, what you do, where.

Sentences that stand on their own

The model does not quote the whole page, it lifts pieces out of it. A sentence is quotable when it is true and clear on its own. “Open Monday to Friday, 8 till 4” — that is quotable. “Our door is always open” — that says nothing to the machine, and not much to the reader either.

Consistent details everywhere

The model recognises a business when its name, address and service read the same everywhere — on the website, in the Google business profile, on social pages. Where the details contradict each other, the machine is unsure, and it leaves unsure sources out.

Mentions elsewhere

The model prefers to state what it sees in several places. A trade article, a genuine review, a listing you appear in — each one is a confirmation that the business exists and is what it says it is.

What can you do right now?

Part of this work lives in the copy, and anyone can start on it. Another part usually needs a developer.

• Let the website give straight answers to real questions — what you do, for whom, where, what it starts at.
• Have a Q&A block for the questions customers actually ask.
• Name, address and service should match everywhere — website, business profile, social pages.
• Say facts, not slogans — “quality and reliability” tells nobody anything, “we call back within 24 hours” does.
• The data layer under the code and the structure should be machine-readable — this is the part that usually needs a developer.

The first four live in the copy. The fifth is the work I do under the name AI visibility.

How I do this in practice

The larger part of the work is not writing new content, it is putting the existing content in order. Reshaping the copy so every section stands on its own. A structured data layer under the code — a machine-readable account of what the page says: who the business is, what it does, where, which questions it answers and how. And lining up the business's details beyond the website, so the machine sees the same thing everywhere.

This page is built the same way — what you are reading here is on the page in machine-readable form as well. Of my projects, the case study about a trades business sits closest to this: visibility was the axis of that work.

What cannot be promised: a specific position or a date. The models refresh from time to time, their answers shift. What can: putting in order everything that depends on us, and measuring back now and then — with the same questions you tried at the top of this article.

Questions on this topic

← Back to the home page