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How to Get Your Business Found by AI (ChatGPT, Gemini, Perplexity): a UK Guide

TL;DR

AI tools such as ChatGPT, Gemini and Perplexity recommend businesses whose websites they can read, verify and trust. That comes down to clean page structure, schema markup that states who you are, consistent facts about your business across the web, and content that answers real customer questions directly. Fix the technical foundations first, then the content, then the wider mentions. This guide sets out that order, for UK business owners who want the practical version, not the theory.

Most business owners assume that showing up in AI answers is either luck or something to do with advertising. It is neither. ChatGPT, Gemini and Perplexity build their answers from what they can read and verify about you, in roughly the same way a new member of staff would try to understand your business before recommending it to a customer. If your website is unclear, hard to read as code, or your details are wrong on the pages these tools trust, you get passed over quietly, with no error message and no way of knowing why. This guide sets out the actual order of work: what to fix first, what matters less than people think, and what is honestly out of your control.

Why this is a different job to ranking on Google

Traditional SEO aims a page at a ranking position in a list of blue links. You compete on relevance and authority, and a searcher chooses between the results. AI search does not work like that. The model reads your pages, along with reviews, directories and anything else it can find about you, and writes one answer. It might name three businesses. It might name one. It might not mention your category of business at all if it cannot find enough to work with.

That changes what actually matters. A page can rank reasonably on Google through backlinks and domain age alone. An AI model does not care about your domain's history, it cares whether it can extract a clear, confident fact from your page right now: what you do, where you do it, and why you are a sound recommendation. That is a technical and structural problem before it is a marketing one, which is why the fixes below start under the bonnet, not with a content calendar.

Start with the technical foundations

Before a single word of new content gets written, get the plumbing right. None of it is visible to a customer looking at your site, which is exactly why it gets skipped, and exactly why it matters most.

Make sure AI crawlers can actually reach you

Check your robots.txt file at yourdomain.co.uk/robots.txt for lines that block GPTBot, ClaudeBot, PerplexityBot or Google-Extended. Some site builders and security plugins add these blocks automatically, without telling you, in the name of stopping bots. If an AI crawler cannot reach your pages, nothing else in this guide can help, because the model has nothing of yours to read.

Give every page clean, readable structure

Use one H1 per page, a logical run of H2 and H3 headings underneath it, and short paragraphs. Models extract meaning from structure the same way a person skimming a page does: headings that actually describe the section beneath them, lists where a list is the natural format, and no key facts buried inside a slider, a tab a user has to click, or an image with no text behind it.

Add schema markup that spells out who you are

Schema, also called structured data, is code added to your pages that states facts in a format machines parse without guessing: your business name, address, opening hours, services and reviews. It will not force any AI tool to recommend you, but it removes ambiguity, and ambiguity is what gets a business left out of an answer. This is the single most under-used lever on most small business websites, and it is our core specialism, covered in full in our guide to technical foundations and schema.

Keep your facts consistent everywhere

AI models weigh confidence, and confidence comes from agreement across sources. If your website says one opening hours, your Google listing says another, and a directory from three years ago says a third, the model has no way to know which is current, so it either guesses or leaves you out to avoid stating something wrong. Your business name, address, phone number, services and hours need to match, word for word where possible, on your own site and anywhere else you appear online. This is slow, unglamorous work, and it is one of the most reliable ways to move from ignored to recommended.

Write pages that answer the actual questions customers ask

Once the technical layer is sound, look at what your pages actually say. A model looking to answer "who does X in my area" needs a page that states, in plain sentences near the top, what you do, who it is for, and why someone should choose you, not three paragraphs of scene-setting before the actual answer. Add a short, honest FAQ section to your key service pages, written in the words customers actually use, not marketing language. This is the part of the work that most resembles normal good writing, and it is where our content and FAQ work is focused.

The order to tackle this in

If you only take one thing from this guide, take the order. Doing these out of sequence wastes effort, because content and reputation work built on top of a broken technical layer has nothing solid to stand on.

  1. Confirm AI crawlers can reach your site. A five-minute check that either clears the path or explains why nothing else has worked.
  2. Fix your page structure and add schema. The technical foundation everything else depends on.
  3. Straighten out your facts everywhere they appear. Your site, your listings, your directories, all matching.
  4. Rewrite key pages to answer real questions directly. Services, FAQs, and anything a customer would actually ask you.
  5. Re-check the whole picture monthly. AI tools and the sources they read change constantly, so a one-off fix decays. A quick audit against real customer questions, the kind covered in our guide to search and AI audits, tells you what moved and what to fix next.

What this guide is not about

It is worth being direct about what this is not. This is not a guide to Google Business Profile optimisation, Google Maps rankings, or chasing star ratings, and we are not a reviews or local-listings agency. Those things exist and can matter for some businesses, but they are a different discipline to the one this guide covers. What we are describing, and what Stagg Studios does, is the technical website work underneath all of it: the structure, schema and machine-readability that decide whether Google and AI can read your site properly in the first place. Get that wrong and no amount of review management fixes it.

How long before you see anything change

Be wary of anyone who gives you an exact figure here. AI models refresh their retrieval and their view of the web on their own schedule, not yours. Once the technical work and the content are genuinely fixed, most businesses see the first signs of change within a couple of months, but nobody, including us, can promise a date or a specific placement in an answer. What is realistic to promise is that the underlying work gets done properly and kept up to date, which is what actually moves the odds in your favour over time.

Questions people ask

How is getting found by AI different from normal SEO?

Traditional SEO aims to rank a page in a list of links. AI search reads your pages, along with everything else it can find about you, and writes a single answer that names a small number of businesses or none at all. The technical basics overlap: crawlability, clean structure and schema still matter to both. But AI search adds a layer normal SEO does not need, which is whether the model can verify who you are and trust what it reads, from your own site and from everywhere else your business is mentioned.

Do I need my business to already be famous for AI to recommend it?

No. AI models answer most questions using live retrieval rather than only what they memorised during training, so a small, well-structured business can be named ahead of a bigger one with a messier website. What decides it is whether the model can find clear, consistent, verifiable information about you at the moment someone asks, not how well known you already are.

Does adding an llms.txt file get my business found by AI?

On its own, no. llms.txt is a small, low-risk file that some tools read and the major AI crawlers do not officially commit to using. It is reasonable housekeeping once the bigger technical work is done, not a shortcut past it. We cover it properly in our separate guide to llms.txt.

How long does it take to get found by AI?

There is no fixed timescale, and anyone who gives you an exact date is guessing. Once the technical foundations and content are fixed, most businesses see the first signs of movement within a couple of months, as AI tools and the sources they draw on refresh. Nobody, including us, can guarantee a placement or a date.

Can I do this myself without hiring anyone?

Much of it, yes, if you are comfortable editing your website's code and keeping on top of it every month. The work in this guide is not secret. What most owners are short of is the time to do it properly and keep re-checking it as AI tools change, which is the part a done-for-you service like ours is built to take off your hands.

Stagg Studios does this for you

Technical foundations, schema and answer-shaped content, kept in order every month on the site you already have. Stagg Studios does this for you, from £100 a month.

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