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How to get your business recommended by ChatGPT

Updated October 25, 2026 · 8 min read · Lire en français

More buyers now ask an AI assistant which provider to choose before they ever open a search engine. The assistant answers with a short list. This guide explains how that list is built, why your business may be missing from it, and what you can do to get recommended.

In short: ChatGPT recommends the businesses it can find, understand and trust. Check what it says about your market today, state plainly on your site what you do, for whom and where, let its search crawler reach your pages, get mentioned with consistent facts on the sources your market reads, then ask the same questions again over time.

How ChatGPT decides which businesses to name

When someone asks ChatGPT for a recommendation, the answer comes from two places. The first is what the model learned during training: the brands, reviews and articles it read before its knowledge cutoff. The second, when ChatGPT searches the web (ChatGPT search, first tested as SearchGPT), is what it finds at the moment of the question. In both cases, the assistant can only recommend a business it has read about, understood correctly, and found mentioned by sources it considers credible.

That is why two businesses of similar quality can be treated very differently. One is described in plain words on its own site, listed in the directories its market uses, and cited by independent articles. The other has a beautiful site that never says clearly what it sells, to whom, or where. The first one gets named. The second one is invisible, even if it is the better choice.

Why ChatGPT doesn't mention your business

When a business never comes up in ChatGPT's answers, the cause is usually one of these:

  • Too little has been written about it. A young or local business may barely exist in what the model learned, so it depends entirely on what search finds.
  • Its website does not say clearly what it does, for whom and where, so ChatGPT cannot match it to the question.
  • ChatGPT's search crawler cannot reach its pages, because of robots.txt rules or bot protection.
  • No independent source confirms it: no directory listings, reviews or articles that mention it.
  • Its information differs from one place to another (name, address, offer), which makes it harder to trust.
  • Competitors answer the question better: they are the ones described, reviewed and compared for that exact need.

Each of these has a fix, covered below. Start by finding out which ones apply to you.

Start by checking what ChatGPT says today

Before changing anything, ask the questions your customers ask. Not your brand name, but the need: "best payroll software for a 50-person company in France", "which agency can build an AI strategy for a bank in Kigali". Ask them in the language your customers use, and note three things for each answer:

  • Are you named at all, and in what position?
  • When you are described, is the description right: what you do, for whom, where?
  • Which competitors are named instead of you, and which sources does the answer rely on?

Answers vary from one question to the next and from one day to the next, so one try proves little. Ask several questions, several times, and look for the pattern rather than a single result.

Make your website easy for AI to understand

AI assistants read your site the way a careful stranger would. They need the essentials in text, early, and without guesswork.

  • Say what you do in one plain sentence on your home page: the service, the customer, the place. Avoid slogans that only make sense if the reader already knows you.
  • Give each main service or product its own page, with its name in the title and a description of who it is for.
  • Publish the practical facts a buyer needs: prices or price ranges, how to get started, contact details, opening hours or service areas.
  • Keep important information in text, not only inside images or videos.
  • Add structured data (schema.org Organization, Product or LocalBusiness) so your name, logo, address and offer are machine-readable.

Make sure AI crawlers can reach your pages

If an assistant cannot fetch your pages, it cannot quote them. Check your robots.txt file and any firewall or bot protection in front of your site. The main AI companies publish the names of their crawlers: OpenAI uses OAI-SearchBot for ChatGPT search and GPTBot for training, Anthropic uses Claude-SearchBot for search and ClaudeBot for training, and Perplexity uses PerplexityBot. Blocking the training crawlers is a legitimate choice, but blocking the search crawlers keeps you out of live answers.

A quick test: paste one of your service pages into ChatGPT with search enabled and ask what the company offers. If the answer is vague or wrong, the page is not saying it clearly enough.

Earn mentions on sources AI trusts

Assistants rarely recommend a business on its own word. They look for confirmation elsewhere: industry directories, review platforms, comparison articles, local press, professional associations, partners' websites. Being present there, with consistent information, is often what turns a mention into a recommendation.

  • List your business on the directories and review sites your market actually uses, with the same name, description and website everywhere.
  • Ask satisfied customers for reviews on those platforms, and answer them.
  • Get included in comparison and "best of" articles in your category, and correct the ones that describe you wrongly.
  • Keep your profiles on LinkedIn, Crunchbase or Google Business Profile complete and up to date.

Publish content that answers real questions

Write the pages that answer the questions your buyers ask before they choose: how to compare providers, what a fair price looks like, what to check before signing. Clear, specific and honest answers are the kind of content assistants quote. Generic marketing copy is not.

Measure, change, measure again

Changes to your site and to the sources that mention you take time to show up in AI answers, and models are updated regularly. Track the same set of questions over time, across the assistants your customers use, and keep the evidence: which answer named whom, citing which source. That is how you see what worked and catch regressions early.