LLM SEO: How to Get Cited by AI Assistants

LLM SEO is the practice of getting your content quoted by AI assistants rather than merely listed by search engines. The mechanics are less mysterious than the acronym suggests: an assistant runs a search, fetches a handful of pages, reads them and quotes the passages that most directly answer the question. Every part of that chain is something you can influence.

Here is what actually works, based on pages I have watched move from invisible to cited, and the tactics that are currently wasting people's budgets.

LLM SEO: the chain you are optimising#

1. Retrieval. The assistant searches and gets a set of candidate URLs. If you are not in the index or not ranking for the query's underlying search, you are not a candidate.
2. Fetch. It requests the page. Blocked crawlers, heavy JavaScript rendering and aggressive interstitials cost you here.
3. Read. It parses your content. Clear HTML, real headings, tables and lists are easier to use than styled soup.
4. Select. It picks the passages that answer the question directly.
5. Cite. It names the source, sometimes.

Most advice concentrates on step five. The leverage is in steps one to four.

Being retrievable#

There is no separate AI index for most of this. Google's documentation on AI features is explicit that standard search requirements apply, so ordinary technical SEO remains the entry ticket: crawlable, indexable, fast, mobile, sensibly linked.

Two additions worth making:

Decide about AI crawlers deliberately. Each assistant has its own user agent, and robots.txt controls them. Blocking is a valid business choice for a publisher selling subscriptions; for a company that wants to be recommended, it is self-harm. Check what your robots file currently says — plenty of sites block crawlers they did not mean to.

Publish an llms.txt if it fits. The llms.txt proposal is a simple markdown file pointing to your most useful content. Adoption is not universal and it is not a ranking factor, but it costs an hour and makes your key pages easy to find in clean form.

Being quotable#

This is the part that separates cited sites from invisible ones.

Answer in the first 40 to 50 words. Under every heading, lead with the direct answer, then explain. Assistants lift the opening of the most relevant section.

One idea per passage. A paragraph covering three points is hard to quote. Split it.

Use the question as the heading. "How much does AI training cost?" beats "Investment considerations."

Attribute inline. "According to Google's documentation, published 2026" is safer to repeat than a bare claim, and safer claims get quoted more.

Give numbers. Specific figures with sources are disproportionately quoted, because they are what people asked for.

Add a real FAQ. Three to six genuine questions with standalone answers. Not a restatement of the article.

Being mentioned elsewhere#

Here is the uncomfortable part for anyone who only optimises their own site: assistants synthesise across sources. When someone asks for the best option in a category, the answer is assembled from comparison articles, forums, review sites and social discussion — not primarily from vendors' own pages.

So the off-site work matters:

• Get into comparison and listicle articles in your category.
• Be present where practitioners discuss your space, including forums and communities, honestly and under your own name.
• Keep your profiles consistent across directories, so the entity picture is coherent.
• Publish things worth citing: original data, benchmarks, tested processes. Nobody quotes your opinion; they quote your numbers.

This is why GEO vs SEO ends up being as much a PR discipline as a technical one.

Measuring it honestly#

There is no position number in an AI answer, and the same question asked twice can return different sources. So measure like this:

1. A citation log. Twenty priority questions, asked in the main assistants monthly, recorded as cited, mentioned or absent. Fifteen minutes a month, and it is the only honest measure.
2. Referral traffic from assistant domains, tracked separately in analytics.
3. Branded search growth, which usually moves before referral traffic does.
4. Question-shaped impressions in Search Console.

Treat any tool promising exact AI rankings as producing estimates, because that is what they are.

What is a waste of time#

• Keyword stuffing for assistants. They read meaning, not density.
• Schema as a magic bullet. Structured data helps machines understand your page and is worth having, but it does not buy citations on its own.
• Publishing more, faster. Volume without verifiable substance is the exact profile assistants avoid quoting.
• Chasing every new acronym. GEO, AEO, LLMO and AIO describe the same work. Pick the habits, ignore the branding.

A four-week plan#

Week 1: audit technical access. Check robots.txt, crawlability and rendering. Fix anything blocking retrieval.

Week 2: rewrite the top ten pages so every section opens with a direct answer, with headings as questions and every statistic attributed.

Week 3: build the citation log and take a baseline across your 20 priority questions.

Week 4: publish one piece of original data — a small survey, your own benchmark, a process with real numbers — and pitch it to the two comparison sites in your niche.

Re-measure in 60 days. Citation behaviour changes slowly, so do not panic at week six.

Where it fits#

LLM SEO is a layer on top of a working content operation, not a replacement for one. If the underlying production is weak, this changes nothing. AI SEO tools covers the stack that makes the production sustainable, and AI content creation covers keeping quality up as volume rises.

If you want your site and your team set up to be the source assistants quote in your category, that is one of the systems I build inside my AI training packages, and the AI marketing agency page is where I do this work for clients.