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

• A citation can introduce a buyer to the business; it is not a sale.
• SEO and AI-search work overlap around accurate, accessible information.
• Search and training permissions are separate decisions.
• Use evidence and clear explanations without word-count or schema quotas.
• Repeat dated samples alongside available reports and enquiry data.

What LLM SEO Measures Beyond Rankings

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.

Some buyers use AI answers to build a shortlist; others continue through Google, reviews and supplier websites. Make each stage coherent so a recommendation leads to a page that explains the service clearly.

A search appearance starts the journey. A clear offer, credible proof and an easy next step help turn it into a conversation.

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.

Where AI Assistants Fit in the Buyer Journey

AI assistants can be part of a buyer’s research. Check your own enquiries and referral data before assuming which tool your customers use first.

A zero-click answer satisfies a question without a website visit. It is one possible explanation for changing traffic, alongside rankings, seasonality, demand and search-result changes.

That is the whole shift.

A smaller firm can publish specific evidence about the problems it solves. That gives buyers something to judge beyond company size, although neither a clear paragraph nor a local address guarantees a citation.

How Search Access Differs Across AI Products

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.

Keep search access separate from training permissions. Google Search AI features use Googlebot; Google-Extended is a separate control for the uses in Google’s crawler documentation. OpenAI likewise separates OAI-SearchBot from GPTBot.

How Search Results and AI Citations Compare

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.

Do not assume AI search removes the advantage of established brands. Compare the sources returned for a fixed set of real buyer questions, then improve the evidence your own pages can supply. For the budget decision, see AEO vs SEO.

The LLM SEO Playbook: Checks to Prioritise

Use the following as an editorial checklist, not a formula for citations. Fix a demonstrated access or factual problem before adding more content.

Priority 1 — Access, Accuracy and Clarity

Lead with the answer. Give the reader the main answer early, then add the detail needed to make a decision. There is no required 40–60-word block or ideal page length.

One idea per paragraph. Keep paragraphs focused and explain references clearly. Connected prose is fine; AI systems are not restricted to reading one isolated paragraph.

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.

Check crawler access deliberately. Review OAI-SearchBot for ChatGPT search, Claude-SearchBot for Claude search and the relevant user-fetch controls. Training permissions are a separate decision. Check the firewall as well as robots.txt; allowing a bot does not prove inclusion.

Use appropriate structured data. Article and BreadcrumbList can describe editorial pages when they match visible content. Schema is not a Google AI eligibility requirement, and adding more types is not evidence of greater trust.

Priority 2 — the differentiators

Publish first-hand evidence. Use authorised case results, a documented test or a survey with its method and limitations. The GEO study investigated content changes in a benchmark; it does not prove that any original number will outperform other work on today’s platforms.

Answer unresolved questions. An FAQ can help when customers ask questions the main page has not answered. It is not a compulsory format or a proven shortcut to citations.

State your definitions plainly. Explain unfamiliar terms where they first appear. Link to the glossary when a reader may want more detail. A clear definition helps comprehension without making you a platform’s automatic source of record.

Keep facts current. Correct stale information and record substantive updates honestly. Do not change dates simply to make an established page look new.

Cite your sources. Let readers inspect the evidence behind a claim. A citation is there to support the claim, not to meet a link quota.

Priority 3 — the supporting infrastructure

Keep the technical foundations sound. Maintain accurate business details, clear internal links and a fast, accessible small-business website. Treat llms.txt as optional documentation, not an AI-search requirement. Google says it ignores the file for Search visibility.

You can measure LLM SEO tonight, for free

Use platform reporting and a controlled prompt sample together. Google offers a Generative AI report to eligible properties and Bing has AI Performance reporting; neither is a complete census of every answer a buyer might see.

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.

Our May 2026 study of 45 Google queries records which sources appeared. It does not establish why Google chose them or how other platforms behave.

Model answers vary between sessions, settings and time. A repeated sample is more informative than a single prompt, but it still describes the chosen questions rather than the whole market.

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. Preserve the SEO work and customer journeys already working. Google’s AI Search features use Search foundations; other products need their own access and reporting checks.

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

Review each provider’s search and user-fetch controls. OAI-SearchBot is separate from GPTBot, and Claude-SearchBot is separate from ClaudeBot. Googlebot controls Google Search crawling, while Google-Extended has a different purpose. Keep private information behind authentication; robots.txt is not a privacy barrier.

Which matters most if I can only do one thing?

Find the most consequential demonstrated problem: an inaccessible page, an inaccurate offer or a broken enquiry route. Fix that first. There is no single format or data point that is always the strongest citation tactic.

How long before LLM SEO shows results?

There is no fixed time to citation. Recheck access after a technical fix, then compare repeated answer samples and referral outcomes over time. The platform still decides whether to include the page.

Does my UK location help or hurt?

State your real service area and business details accurately so buyers can judge fit. That does not guarantee a local AI recommendation, and schema is not a substitute for evidence of the service.

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

A small business can be cited, but this guide cannot establish that doing so is easier than ranking in conventional search. Focus on a specific question where your experience adds evidence the current sources lack.

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

Try a relevant customer question with web search enabled and record the answer and sources. Treat it as a lead for investigation, then compare it with search and enquiry evidence before making it a priority.

Make the offer clear, support material claims, maintain appropriate access and check what happens after a visitor arrives. Neither a small budget nor a particular writing format determines which business wins a citation.

Make the page valuable when a buyer arrives, whichever search route brought them. Clear services, verifiable evidence and an easy contact route matter after the citation as well as before it.