LLM SEO is the practical craft of being retrieved and cited by large language models. There is no button for it and nobody can guarantee it. What demonstrably influences it is fairly boring: being technically accessible, describing yourself identically everywhere, answering the questions people actually ask, and being discussed by sources other than yourself.
- Conventional search visibility is a prerequisite, not an alternative.
- Entity consistency is the single most common failure we find, and the cheapest to fix.
- Third party corroboration is the most underrated factor and the most work.
- There is no rank position, so measure with a fixed prompt set instead.
In plain terms: making sure that when someone asks an assistant to recommend a business like yours, yours is one of the ones it names. That last factor, being discussed by other people, is the most underrated and the most work.
How these systems find you
Three routes, and they behave differently.
| Route | What it is | Can you influence it |
|---|---|---|
| Training data | What the model absorbed when it was built | No, and it goes stale |
| Live retrieval | The assistant searches the web mid conversation | Yes, this is the one that matters |
| Grounded search | AI Overviews and similar, built on an existing index | Only by being in that index |
The practical consequence: conventional search visibility is a prerequisite, not an alternative. A business that ranks nowhere will not be retrieved.
What actually influences whether you get named
Entity clarity
The system needs to know what you are, with confidence. One business name, one address format, one description of what you do, repeated identically across your site, your Google Business Profile, LinkedIn, and every directory that lists you.
This sounds trivial. It is the single most common failure we find. A business with three phone numbers across the web and two versions of its name is asking a machine to guess, and machines resolve ambiguity by lowering confidence.
Third party corroboration
Assistants are markedly more willing to name a business that other sources discuss. Industry publications, local news, association listings, supplier pages, genuine reviews. Not directory spam. If every fact about your company originates from your own website, you are a single source claim, and models treat those cautiously.
Answer shaped content
Content that states its answer plainly in the first paragraph gets used more readily than content that builds to it. Define your terms. Say who something is and is not for. Give numbers where you have them.
Factual precision
Specifics survive summarization. Adjectives do not. "Serving Boise and the Treasure Valley since 2011, focused on home services and professional firms" is repeatable. "Your trusted local partner" is noise.
Technical accessibility
Check that you are not blocking the crawlers these systems use. ChatGPT’s search crawler is governed separately from its training crawler, so blocking one does not necessarily block the other. Plenty of sites have blocked retrieval by accident while intending to opt out of training.
Specifics survive summarization. Adjectives do not.
What does not work
Schema markup does not cause citations. It helps machines parse what is already there. It creates nothing.
llms.txt does not cause citations. No major system has confirmed using it. Publish one as an experiment if you want. Do not pay for it as a results deliverable.
Keyword density is irrelevant. These systems work on meaning, not string frequency.
You cannot buy your way in. There is no placement product. Anyone offering one is describing something they do not control.
How to measure it honestly
There is no rank position, so stop looking for one. Build a fixed prompt set, fifteen to thirty questions a real buyer would ask about your services and market. Run it monthly across the assistants your customers actually use. For each run, record:
- Whether you were mentioned at all
- Whether you were cited with a link
- Which URL was cited
- Which competitors appeared
- Whether the description of you was factually correct
- Which sources the assistants kept returning to
Record the prompt wording, the model, and the date every single time. Change the prompt and the comparison is worthless.
Treat the output as directional visibility monitoring, not a rank tracker. These systems vary between sessions and users. A single result is noise. A trend across months is a signal.
Accuracy matters more than presence. Being described incorrectly by an assistant is a live problem you can fix, and most businesses have never checked.
A realistic timeline
Entity and consistency fixes can surface within weeks, because retrieval is live. Corroboration takes months, because it depends on other people publishing. Content restructuring sits in between. Anyone promising fast AI citation results is describing something they cannot control.
Where to start if you only do three things
- Audit how you are described onlineEvery place your business appears, and make the facts identical.
- Check your robots fileConfirm you are not blocking retrieval crawlers by accident. This is a common and entirely self inflicted problem.
- Rewrite your top five pagesEach one answers its central question in the first hundred words.
That is most of the available benefit, and none of it requires a new budget line.
We build a fixed prompt set for your market and track it monthly, alongside conventional search, so you can see what assistants say about you and whether it is correct.
Common questions
How do I get my company cited by ChatGPT?+
There is no mechanism that does this on demand. Be consistently described everywhere, be mentioned by sources the system can retrieve, publish content that directly answers the question being asked, and make sure your claims can be verified elsewhere. Then measure whether it is working.
Does schema make AI cite a website?+
No. It aids parsing and disambiguation, and it is genuinely useful for entity relationships such as who founded a business and where it operates. It is not a lever for citations.
Should I publish an llms.txt file?+
You can. It costs almost nothing. Treat it as an experiment rather than a deliverable, and be wary of anyone charging meaningfully for it.
Is LLM SEO different from regular SEO?+
About twenty percent different. The fundamentals are shared. What changes is the weight on factual precision and third party corroboration, and the fact that measurement has no ranking to anchor to.
How long does it take?+
Weeks for consistency work, months for corroboration. Nobody can give you a date, and you should be suspicious of anyone who does.
Does this matter if my customers are local?+
Yes. Local recommendation questions are among the most common things people ask assistants, and the fixes are cheaper for a local business than an enterprise.
Keyword volume and difficulty data, DataForSEO, August 2026.
Founder of Big Brain Digital. More than 15 years across SEO, content operations, ecommerce, and AI search. Based in Boise. More about Chris.