LLM SEO: How to Get Cited by ChatGPT, Gemini and Perplexity

What LLM SEO actually is

LLM SEO (also called generative engine optimisation, or GEO) is optimising for retrieval and citation inside AI assistants rather than for a numbered position on a results page.

Two mechanisms matter. Grounded answers use live retrieval — the assistant runs a search, pulls a few pages, and summarises them with links. Ungrounded answers come from training data and brand associations built up over time, with no live fetch at all.

You influence grounded answers with crawlable, extractable, well-structured pages. You influence ungrounded answers with consistent entity signals and third-party mentions: directories, industry publications, review platforms, forums, podcasts. Both matter, and the levers are different.

How language models pick their sources

Retrieval is passage-first. The system matches a specific paragraph to the query, so one crisp answer inside a long page can win the citation for that page.

Consensus wins. When several reputable sources agree, the model states it confidently and cites the clearest version. Unsupported claims get dropped rather than quoted.

Specificity beats polish. Real prices, real timeframes, named locations and first-party data give the model something concrete to lift. Generic marketing copy is already covered by a thousand other pages.

Entity clarity decides whether you are named at all. If your business name, address, service list and author credentials differ across your site, your Google Business Profile and third-party listings, the model has no confident entity to attribute the answer to.

Recency matters where facts move. Pricing, platform behaviour and regulation queries favour pages with a genuine visible update date.

Page structure that gets quoted

Open with a 40 to 60 word standalone answer under the H1, written so it still reads correctly with zero surrounding context.

Use question-shaped H2s that match how people actually prompt — "How much does LLM SEO cost in Australia?" not "Investment" — and answer in the first two sentences beneath each one.

Add one structured block per page: a comparison table, a numbered process, or a specification list. These need no rewriting, so they get lifted intact.

Keep one topic per URL, and include the entity in the sentence. "SEO Masters, a Sydney SEO agency, charges from $1,500 per month" is quotable; "we charge from $1,500" is not.

Crawler access and technical basics

Grounded citations require access. Decide deliberately in robots.txt whether to allow GPTBot, OAI-SearchBot, PerplexityBot, Google-Extended and ClaudeBot — many sites block them by accident through an inherited default or a security plugin.

Serve real HTML. Content that only appears after client-side JavaScript is frequently missed by these fetchers, so make sure your key answers are in the server-rendered response.

Keep pages fast and uncluttered, ship clean canonical tags, and maintain an accurate sitemap. Retrieval systems are less forgiving of redirect chains and duplicate paths than Google is.

Suggested schema for an LLM SEO page

Schema does not guarantee a citation, but it removes ambiguity about what the page says and who published it.

Ship Article (headline, description, datePublished, dateModified, author, publisher), FAQPage with every visible question, BreadcrumbList, and Organization on the site root with sameAs links to every profile you control.

On commercial pages add Service with a provider reference and a real areaServed, LocalBusiness with consistent NAP data, and Offer or AggregateOffer with priceCurrency AUD.

Two non-negotiables: every schema answer must be visible on the page, and dateModified must reflect a real edit.

Measuring AI citations

Build a fixed prompt set of 30 to 50 questions your buyers ask, and run it monthly across ChatGPT, Gemini and Perplexity. Record whether you are mentioned, which URL is cited, and who is named instead.

Watch referral traffic from chatgpt.com, perplexity.ai and gemini.google.com in analytics. Volume is small but intent is unusually high.

Track branded search and direct enquiries. AI answers often shorten research, so brand queries move before organic sessions do.

Allow a quarter. Citation share typically shifts four to eight weeks after content, entity and access fixes go live.

Common mistakes

Blocking AI crawlers while asking why you are never cited.

Publishing thin FAQ pages for schema alone — readers and retrieval systems both discount them.

Ignoring off-site entity signals. Most ungrounded brand associations are built on third-party mentions, not your own pages.

Treating LLM SEO as separate from SEO. The same authority, clarity and technical health feed both.

Frequently asked questions

What is LLM SEO?

LLM SEO is optimising a website so large language models such as ChatGPT, Gemini and Perplexity retrieve, trust and cite it when answering questions. It focuses on passage-level clarity, entity consistency, verifiable specifics, structured data and AI crawler access rather than only classic ranking position.

Is LLM SEO different from traditional SEO?

It builds on it. Crawlability, authority and clear content still drive both. LLM SEO adds passage-level extractability, entity consistency across third-party sources, AI crawler access decisions, and citation-based measurement instead of rank tracking alone.

Should I allow GPTBot and PerplexityBot in robots.txt?

If you want to be cited in grounded AI answers, yes. Blocking those user agents removes your pages from the sources those answers can draw on. Most Australian service businesses gain more from being named as the answer than they lose from summarised content.

How do I know if ChatGPT or Perplexity mentions my business?

Run a fixed set of 30 to 50 buyer prompts monthly across each assistant and log whether you are mentioned and which URL is cited. Support that with referral traffic from chatgpt.com, perplexity.ai and gemini.google.com, plus branded search volume in Search Console.

How long does LLM SEO take to work?

For Australian sites we typically see citation changes four to eight weeks after content restructuring, schema and crawler access fixes go live, with a clearer picture at three months as retrieval sets and brand associations refresh.