AI SEO: Getting Cited by ChatGPT, Gemini & Perplexity (AEO/GEO/LLMO)
Search is quietly becoming answers, and a fistful of new acronyms -- AEO, GEO, LLMO -- has arrived to explain it. Strip away the jargon and the job is simple: be the source the AI quotes. Here is how that actually works.
For twenty-five years, search behaved the same way. You typed a question, you got ten blue links, you clicked one. Search engine optimization was the craft of being high on that list. Then the assistants learned to answer. Ask ChatGPT, Google's AI Overviews, Claude, or Perplexity something now and you often get a written paragraph that blends several sources -- sometimes with a few citations, sometimes with none -- and you may never see a list of links at all. The destination has changed from the click to the answer itself, and a small cloud of acronyms has formed to describe the new work: AEO, GEO, LLMO.
Do not let the vocabulary intimidate you. Answer Engine Optimization, Generative Engine Optimization, Large Language Model Optimization -- the field has not settled firm lines between them, and as of early 2026 there is no academic consensus separating the terms. They point at the same goal from slightly different angles: be the source an AI assistant draws on, quotes, and credits. Pick whichever label your team finds clearest and get on with the underlying work.
It is an evolution, not a revolution
The most useful thing to understand early is how little of this is genuinely new. The signals AI engines lean on are largely the signals classic search already rewarded: crawlable, well-structured pages; clear and accurate content; recognizable authority; freshness where the topic demands it. If your site is already strong on the fundamentals, you have a real head start. AEO is best read as a layer you add on top of good SEO, not a separate discipline that replaces it.
What is new sits in four places, and they are worth naming plainly. Answer-first structure matters more, because engines extract a direct answer from your page and skip you if it is buried. Citation, not just ranking, becomes the prize, because you want to be quoted and credited. A new class of crawlers exists -- GPTBot, Google-Extended, PerplexityBot and others -- and you get to decide who you let in. And measurement gets fuzzier, because there is no single "AI rank" to chase.
How the assistant decides what to say
To be cited, you need a rough mental model of how an assistant answers. There are two modes. In the first, it answers from memory -- the text it absorbed up to a training cutoff. That mode carries no citations, can be out of date, and will occasionally state something confidently wrong, a hallucination that is a side effect of prediction rather than a fixable bug.
The mode that matters for you is the second: retrieval-augmented generation, or RAG. Here the assistant searches the web for your question, retrieves a handful of pages, grounds its answer on them, writes a response, and cites some of the sources it used. This is roughly how Perplexity, AI Overviews, ChatGPT search, and Claude's web modes behave when they reach out. It produces one iron rule: the model can only cite what retrieval surfaced. If a crawler cannot reach your page, if it is not indexed, or if it does not match the rewritten query, it will not be cited no matter how good it is. Retrieval is the gate; everything else comes after.
Make yourself the easy answer
Once your page is in the retrieved set, the assistant chooses what to quote -- and it chooses the clearest, most liftable option. So lead with the answer. State the direct response in the first sentence or two under a clear heading, ideally the question itself, then expand. Make your key facts self-contained and quotable: subject, number, and unit in one sentence, so "a well-installed air-source heat pump uses 3 to 4 units of heat per unit of electricity" rather than "it can cut bills a lot." Attribute what you assert and link the primary source, because engines reward content that is itself well-sourced.
Be unambiguous about entities, too. Use your brand and product names in full instead of leaning on "we" and "it," and keep how you describe yourself consistent across your own site and outside profiles -- contradictions weaken the model's confidence in any version. Add a short FAQ of real questions with plain answers; it mirrors exactly how answer engines work. And put a named, credible author with a real bio on substantive pages. Google's E-E-A-T shorthand -- experience, expertise, authoritativeness, trustworthiness -- is not a dial you can set, but it names the signals both classic and AI search lean on.
The plumbing, and a word of caution
Under the content sits a technical layer that is mostly ordinary SEO hygiene. Structured data -- JSON-LD that tells machines "this is an FAQ, this is the author, this is the price" -- removes ambiguity; FAQ markup is especially worth adding because its shape matches how assistants answer. The AI crawlers each have a user-agent you can allow or block in robots.txt, and the key distinction is between bots that gather training data and bots that fetch pages to answer and cite live. If you want to be cited, allow the answer crawlers; block a training bot only with a clear reason, and remember robots.txt is a request, not a wall.
You will also hear about llms.txt, a proposed markdown file that offers LLMs a clean map of your site. Be measured here: it is experimental, not an official standard, and no major assistant has confirmed it as a citation factor. It is cheap to add, but it belongs after crawlability, structured data, and good content -- never instead of them. The discipline that separates serious practitioners from the hype-chasers is exactly this: do the established things first, treat the emerging things as experiments, and never let a rumour outrank a fundamental.
Measuring without a scoreboard
Finally, measurement. There is no tidy rank to report, so the goal shifts from ranking to being mentioned and cited. Start manually: list ten to twenty real questions you want to own, ask each across ChatGPT, Gemini, Claude, and Perplexity with web search on, and record whether you were mentioned, whether you were cited with a link, and who else showed up. Answers are non-deterministic, personalized, and shift as models update, so ask twice and look for patterns across months, not a verdict from one query. Dedicated AI-visibility tools can scale this up once you understand it, and Google Search Console remains the free baseline for whether your pages are even crawlable in the first place.
The throughline is calmer than the acronyms suggest. Nobody fully knows the algorithms behind AI answers, so favour durable principles over chasing rumours. Write the clearest, best-sourced, most directly useful answer on your topic; attach it to a named and trusted source; make the key sentence easy to lift; let the right crawlers in; and check every month whether you are getting cited. Do that, repeat the loop, and you will be one of the sources the machines quote -- which, beneath all the new vocabulary, is the entire game.
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