LLM SEO: How to Optimise Your Site for ChatGPT, Claude & Gemini (UK, 2026)

A prospect in Birmingham opens ChatGPT and types: "best AI automation company for a UK manufacturer." She reads the answer, picks a name from it, and never opens Google. LLM SEO is the practice of being one of those names — structuring your content so large language models like ChatGPT, Claude and Gemini surface and cite your business inside their answers.

Last updated: June 2026 · Covers ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google) · Written for UK SMEs, verified against each provider's published crawler documentation

• If a model won't name you, you don't exist to the buyer who asked it. LLM SEO is the work of becoming the source it quotes, not the link it skips.
• Classic SEO ranks a page. LLM SEO wins a sentence — a self-contained passage the model can lift whole.
• The three models reach the web differently: Gemini grounds in Google's index; ChatGPT and Claude add their own crawl plus live search. One playbook covers all three.
• The moves that work are unglamorous: answer-first passages, one idea per paragraph, a clean schema stack, your own data, and letting the AI crawlers in.
• You can measure it tonight, for free: ask the models the questions your customers ask, and see who they name.
• No one owns "LLM SEO" in the UK yet. The bar to win is execution, not budget.

LLM SEO gets you quoted, not ranked

LLM SEO is the discipline of making your content easy for a large language model to find, trust, lift and attribute. Traditional search moves a page up a list. LLM SEO gets a sentence, a statistic or a recommendation from your page repeated inside an AI answer — with your name on it.

The model is the destination now, not the link. Ask ChatGPT who builds AI automation for small manufacturers in the Midlands and you get a short reply naming a handful of firms. Most people act on that reply without opening a single source. If you are named, you have earned trust no advert buys. If you are not, you are absent from a channel your competitors may already own.

Classic SEO earns you a place in the list. LLM SEO earns you a place in the answer — and only one of those still gets read.

Three acronyms describe roughly one goal. The distinction is real; the work converges.

• AEO (answer engine optimisation) targets answer engines broadly — anything that returns a direct answer instead of a list, Google's AI Overviews included. We cover it in What Is Answer Engine Optimisation?.
• GEO (generative engine optimisation) is the academic-rooted term for influencing the citation and synthesis behaviour of generative systems. Our GEO guide goes deep on the research.
• LLM SEO names the same outcome around the models themselves — ChatGPT, Claude, Gemini. It is the phrase a business owner actually types.

These are three doors into one room. The tactics overlap almost entirely. What follows is the LLM-specific cut: how the major models source their answers, and the moves that put you inside them.

Your buyer asks the model before they ask Google

Buying research has moved upstream. A meaningful share of UK customers — especially the 25-54 cohort — now open ChatGPT, Claude or Gemini before they open Google. They ask in plain English and read one answer instead of ten links.

That produces "zero-click" outcomes: the buyer gets what they need without visiting any website. Your traffic does not fall because your ranking slipped. It falls because the answer arrived before the click.

That is the whole shift.

For a small UK firm, this is the good news. The models hold no entrenched favourite in most local or niche categories. They cite whoever is clearest, most specific and most trustworthy on the question — not whoever spends most on ads. A well-structured page from a Solihull consultancy gets lifted as readily as one from a London agency.

Gemini rewards your old SEO; ChatGPT and Claude reward your clarity

The three models reach the open web by different routes, and the route changes what each one cites. You do not need three strategies. You do need to know which crawlers to admit, and where your existing search authority already pays off.

The practical reading is short. Gemini grounds its answers in Google's index, so it rewards the SEO and schema work you may already have done. ChatGPT and Claude reward clarity and citability — self-contained passages that are easy to attribute. Do the fundamentals well, admit every relevant crawler, and you serve all three at once.

Classic SEO wins the page; LLM SEO wins the sentence

LLM SEO is not a replacement for SEO. It is a second layer on the same foundations, and it redefines what winning looks like. A slow, unstructured or uncrawlable site fails at both together.

Here is the strategic point: LLM SEO lowers the wall that domain authority builds. You still have to be trustworthy. But a smaller firm that writes with precision and publishes its own numbers gets cited above a larger competitor hiding behind vague copy. For the budget-split argument, see AEO vs SEO.

The LLM SEO playbook: five moves that do most of the work

Work the list top to bottom. The first five moves do most of the work, and they cost the least. This is the on-page formula that separates cited pages from ignored ones.

Priority 1 — the moves to make on every page

Lead with the answer. Open each page, and each major section, with a self-contained 40-60 word reply to the exact question it addresses — before any preamble. A model lifting an answer wants a passage it can quote whole. Bury the answer three paragraphs down and it gets skipped.

One idea per paragraph. Each paragraph must stand on its own pulled out of context, because that is the unit a model extracts. Keep them short. Drop "as we will see below" — the model does not see below; it sees this paragraph, alone.

Write headers as complete statements or real questions. "How LLM SEO differs from SEO" is liftable. "The difference" is not. Map your headings to the words a customer would use.

Let the AI crawlers in. Confirm your robots.txt allows GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, Claude-User, PerplexityBot, Perplexity-User and Google-Extended. Blocking them — by default or by accident — is the single most common reason a capable UK site is never cited.

Ship the schema stack. Mark up pages with Article, FAQPage and BreadcrumbList structured data. Multi-type structured data helps a model parse what a page is and trust it as a source. Gemini, grounded in Google, benefits most directly.

Priority 2 — the differentiators

Publish original data. The research team led by Aggarwal at Princeton and IIT Delhi (paper arXiv:2311.09735, presented at ACM SIGKDD 2024) tested nine ways to optimise content for generative engines. The methods that lifted visibility most were adding statistics, citing sources and quoting experts. Your own numbers are the strongest version of all three — a small benchmark, a client result, a survey of your sector. It is the one asset most UK competitors do not have.

Add a real FAQ block. Genuine question-and-answer formatting maps directly onto how people prompt LLMs, and it is among the most readily quoted formats. Use the questions your customers actually ask, not the ones that pad word count.

State your definitions plainly. Give every key term a clean "X is …" sentence. Models lift definitions wholesale, and a crisp one makes you the source of record. Cross-linking a glossary reinforces the signal.

Keep pages visibly fresh. Show a real "last updated" date and make real edits behind it. Recently maintained pages earn more citations, and the date itself is a trust cue the model reads.

Cite your own sources. Link out to authoritative references. Counter-intuitively, pages that cite credible sources get cited more themselves — attribution marks you as part of a trustworthy information chain.

Priority 3 — the supporting infrastructure

Publish an `llms.txt` file that indexes your key pages with titles and short excerpts, handing models a clean map of what you offer. Keep your entity details consistent — the same company name, address and founders everywhere, backed by Organization and LocalBusiness schema — so a model resolves who you are without guessing. And keep the site fast: slow pages get read less and cited less. These are also the foundations of a good small-business website, which is why LLM SEO and web build quality are the same conversation.

You can measure LLM SEO tonight, for free

You measure LLM SEO by asking the models the questions your customers ask and recording whether you appear. No dashboard exists yet. The manual method is fast, free and honest.

Write down ten to fifteen real buyer questions, phrased the way a customer types them. "Best AI automation agency for a UK manufacturer." "Who sets up Company Cortex for a Midlands firm." "How much does AEO cost in the UK." Put each one to ChatGPT, Claude and Gemini with web search on, and record three things: are you mentioned, are you cited with a link, and who is named instead.

Run the same set monthly. The trend is the metric. You want movement from "never mentioned" to "mentioned" to "cited by name with a link" — plus the list of competitors who keep appearing, so you can study what their pages do that yours does not.

We ran this at scale: 45 real UK business queries put through Google's AI Overviews, every citation recorded. The results — who gets cited, and why — are published in full.

One caution. Model answers vary between sessions and accounts, so treat a single result as a sample, not a verdict. A dozen questions across a few months tell the truth; one prompt does not.

Frequently asked questions

Is LLM SEO the same as AEO or GEO?

They aim at the same outcome — being surfaced and cited by AI — and the tactics overlap heavily. The difference is framing. AEO targets answer engines broadly, GEO is the research term for influencing generative systems, and LLM SEO names the goal around the models themselves: ChatGPT, Claude, Gemini. For most UK businesses, treat them as one programme of work, not three.

Do I have to give up traditional SEO to do LLM SEO?

No. LLM SEO sits on top of solid SEO; it does not replace it. A crawlable, fast, well-structured site is the precondition for both. Gemini grounds its answers in Google's index, so strong classic SEO directly improves your odds of being cited there. The two are complementary layers, not competing budgets.

How do I let ChatGPT, Claude and Gemini read my site?

Check your robots.txt allows the relevant agents — GPTBot, OAI-SearchBot and ChatGPT-User for ChatGPT; ClaudeBot, Claude-SearchBot and Claude-User for Claude; and Google-Extended for Gemini grounding — plus PerplexityBot and Perplexity-User. Many sites block these without realising, which removes any chance of being cited. Allowing them is a one-line change with outsized impact.

Which matters most if I can only do one thing?

Lead every page with a self-contained, answer-first passage, and let the AI crawlers in. Access plus extractability is the floor: without both, nothing else you do can surface. After that, original data is the strongest single differentiator, because almost no UK competitor publishes their own numbers.

How long before LLM SEO shows results?

Weeks to a few months, not days. Models need to re-crawl your updated pages, and live-search behaviour shifts gradually as your content is re-evaluated. Run your measurement set monthly and read the trend rather than any single answer. Freshly published original data gets picked up fastest.

Does my UK location help or hurt?

It helps, when you state it clearly. Models resolve businesses by entity signals, so a consistent name, address and founder set — reinforced with LocalBusiness schema — makes you easier to cite for region-specific questions. "AI consultancy near Birmingham" is winnable precisely because few firms make their locality explicit and machine-readable.

Can a small business realistically out-rank larger competitors in AI answers?

Yes — more so than in classic search. LLMs favour the clearest, most specific, best-sourced answer to a question over the biggest brand. A small firm that writes precisely, publishes real data and structures its pages well gets cited above a larger rival relying on vague copy. Execution beats budget here more often than it does in traditional SEO.

Related reading

• ↑ From SEO to AEO: How UK Businesses Can Dominate AI-Powered Search — the pillar guide and the 7-pillar framework
• ↔ What Is Answer Engine Optimisation (AEO)? — the foundational definition
• ↔ Generative Engine Optimisation (GEO): The Complete UK Guide — the research and the deep tactics
• ↔ How to Get Cited by ChatGPT, Gemini and Perplexity — ten tactics, platform by platform
• ↔ AEO vs SEO: What UK Businesses Need to Know — the budget-split decision
• ↔ What AI Search Actually Cites for UK Business Queries (2026 Data) — our original 45-query benchmark
• ↔ The AEO Checklist: 12 Moves to Get Cited by AI — the actionable on-page version of this
• ↔ How to Get Cited by Perplexity AI — the engine that cites its sources most heavily

Start by asking the models what they say about you

Open ChatGPT tonight and ask it the question your best customer would ask. If it names a competitor and not you, you have just found your most important growth project for this quarter.

LLM SEO rewards clarity, structure and honesty over budget — which is exactly why a focused UK firm wins it. Answer-first passages, a clean schema stack, your own data, open crawlers, and the monthly habit of checking what the models say about you.

Get a free AI-visibility audit → — we run your key buyer questions through ChatGPT, Claude and Gemini, show you exactly where you are cited and where you are absent, and hand you the prioritised list of changes that move you into the answer. Forty-five minutes, no commitment.

Your next customer will not scroll ten links to find you. They will ask ChatGPT, Claude or Gemini, read one answer, and act on it. LLM SEO is the work of putting your name inside that answer — and the firms that start now are the ones the models will already trust when their rivals finally notice.