What is LLM SEO?
LLM SEO is optimising your brand and content so large language model assistants — ChatGPT, Claude, Perplexity and Gemini — cite and recommend you when they answer a question. “LLM” stands for large language model, the technology behind each of these assistants.
LLM SEO is not a separate technique from generative engine optimisation; it is the same work, described from the model’s side rather than the engine’s. NeuralGen is a London AI-visibility agency that treats them as one practice. Our GEO guide covers the parent concept in full, and our what is AI SEO post sets out how LLM SEO fits the wider umbrella.
How do ChatGPT, Claude and Perplexity find their answers?
ChatGPT, Claude, Perplexity and Gemini each source answers through some mix of live retrieval and training data, but all four reward content that is findable, well-structured and verifiable — which is why one strategy serves all of them.
- ChatGPT. For current questions it searches the web through its browsing and index integration and cites sources; for other questions it draws on training data.
- Perplexity. Runs a live search on every query and shows citations by default, so retrievable, well-structured pages matter most here.
- Claude. Answers from training data plus retrieval where connected to search; consistent, verifiable facts help it represent you accurately.
- Gemini. Draws on Google’s index and Google’s wider AI systems.
<!-- CONFIRM: engine sourcing behaviour as of July 2026 — verify browsing/retrieval defaults before publishing, as these change frequently. --> The practical conclusion holds regardless of the exact defaults: being findable and quotable serves all four engines at once.
How do you get cited by an LLM? Step by step
Getting cited by an LLM starts with measuring where you currently stand, then fixing your entity, writing quotable facts, adding machine-readable signals, earning corroboration, and re-measuring monthly.
- Measure your baseline. Ask the LLMs your key buying questions and record whether and how they mention you.
- Fix your entity. Identical name, one-line description and category across your site, Google Business Profile, LinkedIn and directories.
- Write quotable facts. Lead with self-contained statements, add an FAQ block, use tables for comparisons.
- Add machine signals. Organization, Article and FAQPage schema, plus an llms.txt file.
- Earn corroboration. Citations and mentions in reputable sources the models read.
- Re-measure monthly.
Our scorecard explained and llms.txt guide cover steps 1 and 4 in more detail.
What makes content quotable to an LLM?
Content becomes quotable to an LLM when it states standalone facts, named specifics and original data clearly, rather than hedging behind vague adjectives. A model can only lift what it can verify and lift cleanly.
Named specifics — a price, a date, a place, a source — give a model something concrete to quote. Clear definitions and consistent entity references across pages reinforce that the fact belongs to you specifically. By contrast, hedged, adjective-heavy copy rarely gets quoted, because there’s no clean, verifiable claim inside it to lift. The rule we apply to our own site: write the sentence you’d want an AI to quote.
LLM SEO vs classic SEO: what changes?
Classic SEO optimises pages and keywords to rank in search results; LLM SEO adds an extraction and entity layer on top, aimed at getting your facts quoted rather than only your link ranked.
| Classic SEO | LLM SEO | |
|---|---|---|
| Goal | Rank a page in search results | Be cited inside an LLM’s answer |
| What gets optimised | Pages and keywords | Entity, facts and citable sentences |
| How success is measured | Ranking position, organic clicks | AI share of voice, citation frequency |
| Time to results | Weeks to months | 6–12 weeks typically |
Classic SEO remains the retrieval foundation — if a model’s engine can’t find or crawl your page, it can’t quote it. LLM SEO adds the layer that makes what it finds easy to trust and lift. See our AI SEO vs traditional SEO post and AEO guide for the adjacent comparisons.
How do you measure LLM SEO?
Share of voice is the percentage of relevant AI answers, across a fixed set of buying-intent prompts, in which your brand is mentioned or cited, measured against your competitors.
The method: run a fixed prompt set across the engines monthly, score each result for presence, sentiment and citation, and report it with real screenshots. NeuralGen guarantees measurement and method, not a citation — that’s a promise no honest provider can make. Our guide to AI visibility covers the scoring in depth, and our AI SEO agency page explains the full reporting cycle.