LLM SEO Agency: What You Should Actually Receive

What LLM SEO means, in plain words

An LLM, short for large language model, is the kind of software behind ChatGPT, Claude, Gemini and similar assistants. It reads a huge amount of text and writes answers to questions in plain language. LLM SEO is the work of making your business easy for those assistants to find, understand and name when someone asks them a question you should be answering.

An LLM SEO agency sells that work. The label is new, and so are many of the agencies using it, so the first job is to know what a fair engagement contains. This page lists what you should receive, in order, and what you should refuse to pay for.

If you want the wider picture of what AI search work involves and how it is priced, our overview of the services behind LLM SEO covers it. If you want to understand the mechanics of how assistants pick what to cite, see how LLMs choose sources. Here we stay focused on the agency and its deliverables.

One framing point helps throughout. LLM SEO is not a replacement for ordinary search work. Pages still need to be crawlable, accurate and useful. It adds a second question on top: when a person asks an assistant, does the assistant have a clear, trustworthy answer that names you?

The five deliverables, in order

Whatever an agency calls its packages, a sensible engagement produces five things. They arrive in a sequence that makes sense, and each one makes the next judgeable.

1. A baseline

A written list of the questions your customers ask, run across the assistants you care about, with the full answers saved. This is the single most important deliverable and the one most often skipped. It shows who gets named today, how they are described and where you are missing.

2. Crawler access

Confirmation that the crawlers used by AI products can read your site. The usual causes of trouble are a robots.txt file that blocks them, a security layer that challenges them and pages that only show their content after heavy JavaScript runs. This is quick, cheap and binary. It should be done in the first week.

3. Answer-first pages

Pages written so the answer sits in the first paragraph, in plain sentences an assistant can lift. Each page targets a real buyer question. See writing for LLMs for what that looks like on the page.

4. Presence in outside sources

A plan for being accurately described in the places assistants read: review sites, forums, directories, trade and local press. This is slow and it is the part most proposals quietly drop.

5. A repeat measurement

The same questions, the same assistants, run again on a schedule, with a report that says what moved and what did not.

What to refuse to pay for

Some line items sound technical and deliver little. You can save money by knowing which.

A "proprietary score" with no method. A single number labeled something like an AI visibility score is only useful if you can see how it is built. Ask what questions feed it, which assistants, how often and what counts as a mention. If the answer is vague, the number is decoration.

Special files promised as a trick. Some agencies sell a file on your site as if it were a switch that makes assistants name you. Files that describe your site can be harmless and occasionally helpful. None of them is a switch. Treat any proposal that leans on one as thin.

Schema markup as the whole plan. Structured data helps machines read a page correctly, and that is worth doing. It does not make a page worth citing. If markup is most of the proposal, the content work is missing.

Bulk page production with no review. Hundreds of near-duplicate pages are the old programmatic trick wearing a new label. An assistant choosing what to cite is looking for a page that answers a question better than the others. Thin copies do not.

Prompt "injection" or hidden text. Anything that tries to talk to the assistant behind the reader's back risks a penalty and is plainly dishonest. Walk away.

Our list of AI SEO agency red flags goes through more of these, including the ones that show up in the pitch.

How the measurement should work

Because the measurement is the deliverable everything else depends on, it deserves a closer look.

Assistants do not give the same answer every time. A single check is a sample of one. A useful measurement runs each question several times, across more than one assistant, and records how often your business is named and how it is described. That turns a lucky or unlucky draw into a rate you can compare month to month.

Three details to ask about. First, whether the question set is fixed. If the questions change every month, the history means nothing. Second, whether results are shown per assistant. A blended number hides the case where you are doing well in one and missing in another, which is where the useful decisions are. Third, whether the full answer text is kept. Being named in a sentence that calls you the budget option is a different result from being named as the top recommendation, and a simple tally cannot tell them apart.

You can run a rough version of this yourself with a spreadsheet and an afternoon. That is worth doing before you hire anyone, because it shows you what a measurement involves, which makes you harder to oversell. Our AI visibility checker guide walks through a simple method.

How to judge the content they produce

Ask for two or three published examples and read them the way a customer would.

Does the first paragraph answer the question the title asks? An assistant composing a short reply needs a sentence it can use. If the answer is buried in the fourth paragraph after a general introduction, the page is written for word count, not for retrieval.

Is it specific? Good pages name real details: the actual materials, the actual steps, the real limits of a product or service. Vague pages that could belong to any business in your category give an assistant no reason to choose yours.

Is it accurate about you? Check prices, policies, locations and claims against what is true. Mistakes on published pages become part of what assistants repeat.

Does it read like a person wrote it? Many assistants and sites have become good at spotting filler, and readers spot it faster. Look for repeated sentence shapes, stacks of generic adjectives and paragraphs that restate the heading. If you see them in the sample, you will see them in the engagement.

Finally, check that the pages link to each other in a way that makes sense. A cluster of pages about one subject, each pointing to the others where a reader would want to go next, builds depth. Isolated pages do not.

The part that sits outside your site

A fair LLM SEO engagement spends real effort away from your own domain, because that is where assistants gather evidence about who to trust.

In practice this means finding which third-party sources are used for your category and checking what they say about you. It may be a review site with an outdated listing, a directory entry with the wrong address, a forum thread that describes you inaccurately or a comparison article that leaves you out. Fixing those, honestly and one at a time, often moves answers more than another batch of pages on your own site.

It also means earning mentions the honest way: being useful to the people who write about your field, supplying accurate facts to journalists and editors who ask, and giving customers an easy path to leave reviews. None of that can be done in bulk and none of it appears in a neat list of monthly deliverables.

For a deeper look at how assistants weigh these sources, see what AI engines cite. When you read a proposal, ask the agency to name the three outside sources that matter most for your category and what it would do about each. A specific answer is a good sign. A general answer about "building authority" is not.

What no LLM SEO agency controls

Three things sit outside any agency's control, and honest ones say so before you sign.

First, the assistants themselves. They change how they pick sources without notice, and a method that works this quarter may need adjusting next quarter. A good agency expects that and measures continuously for that reason.

Second, whether a given person asks at all. Some of your buyers still use a search box, some ask an assistant and some do both in the same afternoon. The work covers both, but nobody can tell you the split for your market with certainty.

Third, attribution. Someone who hears your name from an assistant often searches for you later or visits directly, so the trail back to the assistant is usually invisible in your analytics. Be wary of any report that shows revenue from AI answers with great precision.

Timelines you can reasonably expect

Be skeptical of one timeline offered for everything. Different parts of the work move at different speeds.

Crawler access is instant once fixed. Rewritten pages can show up in assistants that retrieve live within weeks. Others change more slowly because they rely on what they have already gathered, and the gap can run to months. Outside presence takes longest, because it depends on other people and other sites.

A reasonable agency will tell you which part is which, and will say plainly that early months are mostly foundation. If the sales material promises visible change everywhere in thirty days, it is describing the fastest piece of the work as if it were all of it.

You can ask a useful question here. What will we be able to see at the end of month one, month three and month six? A clear answer, with a measurement behind each point, is a strong sign. Our guide to what drives the price of AI SEO also explains why the slow parts cost what they cost.

Agency, tool or doing it yourself

An agency is one of three routes, and it is not always the right one.

A tool measures. It runs your questions on a schedule and shows you the results. It does not write pages or fix your listings. That is excellent value if you have people to act on the findings, and poor value if you do not. See AI visibility tools for how to compare them.

Doing it yourself works for the fast half of the job. Checking crawler access, rewriting your top pages so the answer comes first and correcting your listings are all within reach of a careful owner with a few free hours.

An agency earns its fee when you need the slow half done by people who publish and follow up, and when the measurement points at more work than your team can absorb. If you are weighing it, ask yourself one question. Who will write and publish the pages the measurement says you need? If the answer is nobody, a tool alone will not help, and an agency or done-for-you service is worth considering.

How RunOctopus handles this

RunOctopus is a done-for-you service for the publishing side of LLM SEO. Its AI, Ollie, researches your business, then writes and publishes pages directly on your own website, with a team planning, writing and reviewing alongside it. It works with Shopify, WordPress, WooCommerce and Wix.

You install nothing, approve nothing, upload nothing and schedule nothing. The first week brings 8 long-form articles, 6 pages and a custom interactive tool built for your niche. After that it is 175+ pieces of content a month, written, published and linked.

It also reports on where ChatGPT, Perplexity, Claude and Gemini name your business. The 90-day promise is more visibility on Google and in AI answers, measured against the 90 days before you joined, or every dollar back.

Florida Realtor Careers went from 8 to 116 Google clicks a month since launching in June (Google Search Console, 28 days to September 29, 2026).

To see what Ollie would plan for your site, paste your address for the free site read. No account, no call.

What to take into the first call

Bring four requests. A sample baseline from a real client, names removed. A repeated measurement over several months. Two published pages you can read. And the three outside sources the agency would work on first for your category.

An agency that produces all four without fuss has done this before. One that cannot is selling the label.