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AI SEOMay 15, 2025·8 min read

What Is LLM SEO?

Here's a number that should make any marketer slightly uncomfortable: 58% of Google searches now end without a single click. Not because people gave up — because they got their answer right on the results page. And when Google isn't fast enough, they just ask ChatGPT.

Welcome to the era of LLM SEO. It's new, slightly chaotic, and — fair warning — the people who named it couldn't agree on what to call it.

58%
Google searches
end without a click
93%
AI Mode searches
end without a click
27%
queries now show
AI Overviews
Ahrefs calls this the “Great Decoupling” — impressions up, clicks down

First, the naming chaos

The field has at least four competing names: GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), LLMO(Large Language Model Optimization — sounds like a children's TV character), and plain old LLM SEO. They all mean roughly the same thing. We'll go with LLM SEO because it's the most self-explanatory and doesn't require explanation at a dinner party.

The fact that the field optimizing for AI clarity can't clearly name itself is either ironic or on-brand. Either way, the concept underneath all these names is the same — and it matters.

What actually changed

Think of a library. Traditional search was like walking in and asking for a list of books that might help with your question — you'd get 10 titles, go pull them off the shelf, skim a few chapters, and piece together an answer yourself.

LLM search is like asking a librarian who has read everything. They just tell you the answer. They might mention a source or two. But you never have to leave the desk.

The implications for marketers are significant. The search results page you spent years optimizing for is being replaced by a text box. Your goal is no longer a position on a list — it's being inside the answer.

Traditional SEO
  • Rank in a list of 10 links
  • Optimise for backlinks & authority
  • Your own site is the asset
  • User clicks through to your page
  • Success = top 3 ranking
LLM SEO
  • Be inside the AI's answer
  • Optimise for brand mentions & clarity
  • Third-party sites are the asset
  • User gets the answer without clicking
  • Success = cited or recommended

The counterintuitive part

Here's what makes LLM SEO genuinely strange: ranking #1 in Google doesn't mean you show up in AI answers. Ahrefs studied AI citations and found only 12% of URLs cited by AI assistants also rank in Google's top 10 for the same query. The two systems have almost no overlap.

12%
of URLs cited by AI assistants also rank in Google's top 10 for the same query. 88% of AI citations come from somewhere else entirely.— Ahrefs, 2025

This means two things. First, your traditional SEO work doesn't automatically carry over. Second, there's a wide-open opportunity for brands that haven't ranked well in Google to show up in AI answers instead — because they're playing a different game.

The second counterintuitive thing: your own website is not your best asset for LLM visibility. Brands are 6.5× more likely to be cited via a third-party page than their own site. Reddit threads, G2 reviews, YouTube videos, news mentions — those are what the AI is reading. You can have the best-written homepage in your niche and still be invisible if nobody else is talking about you.

How LLMs actually know things

LLMs have two ways to know something. The first is what's baked into their training data — everything they “read” before you started talking to them. The second is real-time retrieval: when ChatGPT or Perplexity goes out and fetches fresh content before answering your question (this is called RAG — Retrieval-Augmented Generation, in case you needed a second acronym today).

How an LLM decides what to say about your brand
Training data
Everything written on the internet before the model's cutoff date. Getting in here takes 6–18 months of ecosystem presence.
RedditWikipediaNewsBlogsG2 reviewsYouTube
RAG (real-time retrieval)
Fresh content fetched at query time. A well-placed article or review can influence this within 60–90 days.
PerplexityChatGPT browseGoogle AI Overviews
Most brands only think about the second column. The first is where long-term brand authority is actually built.

Think of it as a trial (you're not the witness)

Here's an analogy that might stick. In LLM search, your brand is on trial. The AI is the judge. The witnesses are every Reddit thread, G2 review, YouTube video, and news article that mentions you — and here's the twist: you don't get to testify. Third parties testify for you.

What this means in practice

A competitor with a scrappier website but strong Reddit presence and 20 G2 reviews will outrank you in AI answers — even if your SEO is technically better. Brand mentions correlate with AI citations at 0.66. Backlinks? 0.22. The conversation happening about you matters more than the links to you.

What LLM SEO actually involves

Now that the “why” makes sense, here's the “what.” LLM SEO isn't a single checklist item — it's a shift in where you put your attention.

1
Entity clarity on your own site
LLMs think in entities — named things with clear attributes. Your homepage should make it trivially obvious: what category you're in, who you're for, and what you do differently. Vague hero copy hurts you more than you think.
2
Third-party presence (the new link building)
A G2 profile, a few honest Reddit threads, a YouTube mention, a roundup article. This is digital PR doing the work that backlinks used to do. If nobody outside your own website is talking about you, AI systems have no evidence you exist.
3
Quotable, structured content
LLMs love to pull answers verbatim. FAQ sections, clear definitions, short declarative statements — these get cited directly. FAQ schema (JSON-LD) doesn't hurt either.
4
Machine-readable signals
Schema markup (SoftwareApplication, Organization, FAQPage) gives AI models a structured summary of your product without requiring them to infer it from prose.
5
Consistent brand language
If your product description on your site says one thing, your G2 profile says another, and Reddit says a third — AI models get confused about what you actually are. Consistent vocabulary across all surfaces builds a stronger entity signal.

One more thing: attribution gets weird

Here's a pattern you'll start noticing. Someone asks an AI for tool recommendations. The AI mentions your product. The person then Googles you to learn more, visits your site, and signs up. In your analytics, this looks like organic search or direct traffic. The AI referral is invisible.

Some call this the “dark SEO funnel.” AI is driving discovery at the top of the funnel, but none of your attribution tools are capturing it. If your organic traffic looks mysteriously healthy even as your Google rankings stagnate — this might be why.


The short version

LLM SEO is the practice of making sure AI assistants know who you are, what you do, and when to recommend you. It's not a replacement for traditional SEO — it's a new layer on top of it. The brands winning right now are the ones whose names come up when ChatGPT is asked for a recommendation in their category. Getting there takes entity clarity, third-party presence, and structured content. None of it is black magic. Most of it is just being genuinely clear about what you do — and making sure that clarity exists beyond your own website.

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