LLM SEO is the practice of getting a large language model to name your business when someone asks it a question in your market. It covers the same work as generative engine optimisation and answer engine optimisation: make the page readable by the crawlers that feed the models, answer the question in the opening lines, then get mentioned on the third-party pages the model reads instead of yours. The label is newer than the practice and nobody owns it.
Which raises the obvious test. The pages that rank in the UK for “llm seo” are the ones teaching this. Do the models cite them? On 10 August 2026, not one of them. Eight pages, six AI platforms, zero citations. The domains those pages sit on hold 8,753 citations between them.
That test is one of several collected on answer visibility, which is where the whole subject of getting named inside an AI answer is set out.
Is LLM SEO a different discipline from GEO or AEO?
No. The people using the terms do not claim it is with any consistency.
Wikipedia’s entry on generative engine optimisation is direct about the state of the vocabulary:
No consensus definition distinguishing these terms had been established in the academic literature as of early 2026, and the terms are frequently used interchangeably in trade and practitioner contexts.
GEO at least has an origin, a 2023 arXiv paper later published at KDD 2024. LLM SEO has no equivalent. It arrived through practitioner writing. It is preferred by people who want the word “SEO” left in the name, usually because they are selling to a buyer who already has an SEO budget.
That is worth knowing when a proposal lands. The term you are quoted against tells you something about who is quoting. It tells you almost nothing about what will be done.
Ahrefs flags the UK query as both informational and commercial, which fits: 600 searches a month, keyword difficulty 18, plus a first page split between people explaining the term and people selling against it.
Do the pages ranking for it get cited by the models?
Not one of them. This is the part of the subject that is checkable, so we checked it.
Method. We took the organic top ten for “llm seo” in the UK (Ahrefs serp-overview, GB, SERP crawled 2 August 2026) and pulled AI citation counts for each ranking page at URL level (Ahrefs site-explorer-ai-responses-count, mode=exact) and for its domain (mode=subdomains), both on 10 August 2026. Six platforms: ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, Grok.
| # | Page ranking for “llm seo” | Citations to the page | Citations to the domain |
|---|---|---|---|
| 2 | reddit.com, r/AskMarketing thread | 0 | platform, not counted |
| 3 | marketermilk.com/blog/llm-seo | 0 | 1,311 |
| 5 | vercel.com/blog/how-were-adapting-seo-for-llms-and-ai-search | 0 | 1,060 |
| 6 | llmrefs.com/llm-seo | 0 | 195 |
| 7 | neilpatel.com/blog/llm-seo/ | 0 | 5,928 |
| 8 | virayo.com/blog/llm-seo | 0 | 6 |
| 9 | youtube.com, “AI SEO for LLM” | 0 | platform, not counted |
| 10 | dageno.ai/en/blog/best-llm-seo-trackers | 0 | 253 |
Six brand domains, 8,753 citations between them. The eight pages that rank on the query: zero.
Reddit and YouTube are excluded from the domain column because a citation count for a platform hosting millions of unrelated pages says nothing about the page in question. Their page-level figures are zero, same as the rest.
We tested whether the zeros were real before writing this. A method that returns zero for everything is measuring nothing. Two controls, same endpoint, same day: the Wikipedia entry for generative engine optimisation returns 11 citations at page level. Neil Patel’s GEO comparison page returns 2. The endpoint reports non-zero page-level counts when they exist. The eight zeros are the answer, not the instrument.
One thing we found while checking, worth passing on to anyone running the same query. mode=prefix on this endpoint returned zero for semrush.com/blog while mode=exact on a single article beneath that path returned five. Prefix cannot be trusted here. Every figure above uses exact or subdomains.
Why do the domains hold thousands and the pages hold none?
Two mechanisms. Only one of them is available to you.
The first is that citation accrues to the estate, not to the entry. Neil Patel’s domain carries 5,928 citations, spread across 926 cited pages on Perplexity alone. Its LLM SEO article is not one of them. A domain publishing on hundreds of subjects for a decade collects citations across all of them, which is a fact about the domain rather than about any page on it.
The second is that ranking and being cited are different competitions. Across twelve UK queries where we measured the overlap directly, 54% of the sources an AI Overview cites do not rank in the organic top ten beneath it. A page can win the link and lose the answer. On “llm seo” all eight of them did.
Virayo is the honest counter-example in the table. Six citations, DR 40, a small domain. Small estates can hold citations. This one holds six, against 5,928 for the largest domain in the set, which gives a fair sense of the gradient.
So what is the term actually useful for?
Naming a budget line, mostly. As a description of work it adds nothing to GEO or AEO.
Where it does earn its place is in the conversation with a buyer who has an SEO team and wants to know what changes. The answer that survives the data above is short. Three things change.
- The measurement changes. Positions are ordinal, dated and reproducible. Citations are probabilistic and move between runs. If a supplier reports a citation figure without an index name and a date, the figure is a story.
- The target of the work moves off your site. The expensive part is being named on the pages a model already reads, which are lists, threads, directories and comparisons written by other people. This is the item nobody costs properly.
- The formats that qualify widen. A video that would never rank on a commercial query gets cited on one. On the twelve UK SERPs we measured, YouTube took 15% of AI Overview citations while holding 4% of organic results.
What does not change is the floor. The crawlers have to be able to reach the page. That is a server question rather than a content one. Ten UK agencies, every one allowing every OpenAI crawler, hold ChatGPT citation counts from 0 to 92. Access is the entry ticket. It buys nothing on its own.
What this does not tell you
One query, one market, one day. Eight pages is a small sample and it was chosen by Google, not by us, which is the point of it but also its limit.
It does not mean these are bad pages. Marketer Milk’s article ranks third in the UK on a term with 600 monthly searches, which is the job it was written to do. It means the job it was written to do is not the same job as being cited.
It also does not mean the count is stable. Citation sets have been observed to change within a day. A single pull is a single pull. The zeros are eight independent observations rather than one, which is the only reason they are reported as a finding rather than as a reading.
If you want the term underneath all three labels, start with what generative engine optimisation actually is. If you want to know whether any of this is worth doing at all, UK demand for buying SEO is at a four-year high. To run the measurement on your own market for the price of an afternoon, the free method is here.
Data in this article: SERP composition from Ahrefs serp-overview, country=gb, SERP crawled 2 August 2026, pulled 10 August 2026. Citation counts from Ahrefs site-explorer-ai-responses-count on 10 August 2026, mode=exact for pages and mode=subdomains for domains, across ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Grok. Keyword volume and difficulty from Ahrefs keywords-explorer-overview, GB. Wikipedia quotation read on 10 August 2026.