AI discoverability

How do I get my business found by AI?

Being found by AI means showing up when someone asks an assistant like ChatGPT, Gemini, Claude, or Google's AI Overviews for a recommendation, and having that assistant name your business in its answer. It happens when your site is readable by a model: open to AI crawlers, written in plain answer-shaped language, backed by structured data the model can trust, and consistent about who you are and what you offer across every page. Four layers make a site AI-readable, access, legibility, structured trust, and per-page clarity. Get those right and a model can read your site, understand it, and cite it.

Published 2026-06-06 by the profitmates team · 5 min read

What being found by AI actually means

For years the goal was to rank on page one of Google. Now a growing share of people skip the list of links entirely and ask an AI assistant straight out: who does this, what should I buy, who is good in my area. The assistant answers in a sentence or two and names a few businesses.

That changes the game. A search results page has ten links; an AI answer might name three. Being one of the few a model recommends is now worth more than ranking tenth. And models do not pick from a ranked list, they pick from what they can read, understand, and trust about you.

The four layers that make a site AI-readable

In order, because each one depends on the one before it. There is no point marking up your facts if the crawler cannot get in.

1. Access: Let the crawlers in.

Many sites quietly block AI crawlers, or never think about them. Your robots file should welcome the AI bots, GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest, not just the traditional search crawlers. If the door is shut, nothing else on this list matters.

2. Legibility: Give the model a plain-language map.

This is what llms.txt and agents.txt do: a short, structured summary of who you are, what you sell, and where the detail lives, written for a model rather than a browser. Answer-shaped content helps too, clear definitions and FAQs a model can lift a single sentence from and attribute to you.

3. Structured trust: Mark up the facts.

Schema, also called JSON-LD, is a small block of code that states the facts of your business in a format models and search engines trust: your name, your offers, your prices, your FAQs. It turns some text on a page into a verifiable fact about this business.

4. Per-page clarity: One clear page, one clear answer.

Every important page needs its own title, description, and canonical URL so a model can tell them apart and quote the right one. A site where every page inherits the same title reads, to a crawler, like one page repeated over and over.

These four layers are exactly what we built into our own site, in that order. It is the same checklist behind our AI discoverability audits.

Never heard of llms.txt, schema, or agents.txt?

That is completely normal, and you do not need to become an expert in any of them. There are two sensible paths from here.

  • Hand it over. Give this list to whoever maintains your site and ask them to work through the four layers in order.
  • Have us check it. We audit all four signals for you and return a scored, prioritised fix list, so you know what matters and what to do first.

Either way the goal is the same: a site a model can read, understand, and recommend.

How to check whether AI can already find you

You do not need a tool to start. Open ChatGPT, Gemini, and Google's AI Overviews and ask the exact question a customer would ask: who does X in your city, or what is the best Y for Z. See whether you come up at all, and if you do, whether the details are right.

From there, the technical checks follow the four layers: confirm your robots file lets AI crawlers in, that you have an llms.txt a model can read, that your key pages carry structured data, and that each page has its own clear title. If the assistants get you wrong or leave you out, one of those layers is the reason.

Where most sites fall short

The common failure is not bad content, it is content a model cannot use. Pages that look fine to a person can be invisible to a model: no structured data to confirm the facts, an llms.txt that does not exist, a robots file written only with Google in mind, and the same title on every page. The fix is rarely a rewrite. It is making what you already say legible to a machine.

Related reading

If you are weighing up a one-off diagnostic to find where your marketing is leaking, start here:

What is an AI marketing read?

Or see the two reads that check these AI-discoverability signals on your site:

See the AI discoverability reads and what each one covers

Common questions

What does it mean to be found by AI?

It means showing up when someone asks an assistant like ChatGPT, Gemini, Claude, or Google's AI Overviews for a recommendation, and having that assistant name your business in its answer. Unlike a page of blue links, an AI answer usually surfaces only a handful of options, so being one of the few it cites matters more than ranking tenth on page one.

What is llms.txt and do I actually need it?

llms.txt is a plain text file at the root of your site that gives an AI model a clean summary of who you are, what you offer, and where to find the detail. It is not a ranking trick. It is a courtesy to the model: a readable map so it does not have to guess from your navigation. agents.txt does the same job for AI agents that take actions. Neither is required, but both make your site easier to read and cite.

Is being found by AI different from SEO?

It overlaps but it is not the same. Classic SEO optimises for a ranked list of links. AI discoverability optimises for being understood and quoted by a model that answers in prose. Clean structure, plain language, and trustworthy structured data help both, but AI answers reward clarity and verifiable facts over keyword density.

How do I check whether AI can already find me?

Ask the assistants directly. Open ChatGPT, Gemini, and Google's AI Overviews and ask the question a customer would ask, such as who does X in your city, then see whether you appear and whether the details are right. After that, check the technical basics: that your robots file lets AI crawlers in, that you have an llms.txt, and that your key pages carry structured data.

Can you do this for me?

Yes. Our E-Commerce AI Discoverability Audit and GBP & AI Discoverability Audit check exactly these signals on your site and hand back a scored, prioritised fix list. We also practise what we sell: the foundations described here are the same ones built into profitmates.ai.

Want to know whether AI can find and recommend your business right now? A short conversation is the fastest way to find out where you stand.

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