LLM SEO: Writing for Readers That Are Models

LLM SEO is the content side of AI visibility: writing and formatting pages so a language model can find, lift and attribute a passage from them. The mechanism is retrieval. Your page gets split into chunks, each chunk gets embedded, and a query pulls the chunks that match. This means you are not optimising a page, you are optimising roughly 300 words at a time. The pages that win are the ones where every chunk answers something on its own.

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How a model actually reads your page

It does not read the page. That is the part worth sitting with.

A retrieval system fetches your HTML, strips it, splits the text into chunks of a few hundred words, converts each chunk into a vector, and stores them. When a user asks a question, the question becomes a vector too, and the system pulls the closest chunks. Only those chunks reach the model.

So your 3,000-word guide never competes as a guide. It competes as twelve separate passages, and eleven of them can be ignored while one gets quoted.

Everything below follows from that single fact.

The first 100 words decide everything

The chunk directly under your H1 is the one most likely to be retrieved for the head query, because it sits closest to the page's title and topic. Waste it and you have handed the citation to whoever did not.

A good opening chunk has four properties:

1. It answers. No throat-clearing, no context-setting, no "let us first understand".
2. It stands alone. Paste it into a blank chat window. Does it still make sense?
3. It is specific. At least one number, name or mechanism.
4. It is 50 to 120 words. Short enough to quote whole, long enough to be complete.

What makes a passage quotable

Looking at what actually gets lifted into AI answers, the pattern is consistent. Quotable passages contain:

• A definition stated flatly. "X is a Y that does Z." Not "X can be thought of as something like a Y."
• A number with its unit and its condition. "$19.99 per month for 750 tasks" beats "starts under twenty dollars."
• A named comparison. "Cheaper than Zapier at low volume, more expensive above 50,000 operations."
• A clean list or table. Structured objects survive the chunking process intact, which is why tables get quoted so often.
• A direct answer to a question-shaped heading.

Passages that never get quoted contain hedges, transitions, callbacks to earlier sections, and sentences whose meaning depends on the paragraph above.

Six formatting rules

1. One idea per paragraph. Two to four sentences. A seven-sentence paragraph carrying three ideas will get chunked mid-thought and lose all three.

2. Question-shaped headings. Write the H2 as the query. "How much does it cost?" not "Cost analysis."

3. Front-load every section. First sentence states the conclusion. The rest supports it. This is the opposite of how essays are taught and exactly right here.

4. Repeat the subject instead of using pronouns. "Alt Hunt generates the page" survives chunking. "It generates the page" does not, because the chunk may not contain the antecedent.

5. Tables in HTML, never images. A screenshot of a pricing table is invisible. This is the most common expensive mistake on SaaS comparison pages.

6. Keep the answer near the heading. Do not put three sentences of setup between an H2 and its answer.

The rewrite, before and after

Before:

When it comes to choosing the right automation platform for your business, there are many factors to consider. Pricing is one of them, and it can vary significantly depending on your needs. Let's take a closer look at how the major players stack up.

Nothing in that paragraph can be quoted. It contains no fact.

After:

Zapier starts at $19.99/mo for 750 tasks. Make starts at $9/mo for 10,000 operations. The difference matters because Zapier counts every step as a task, so a five-step automation burns five tasks per run, while Make counts operations the same way but gives you thirteen times more of them.

Same subject. One is retrievable, one is filler.

What to stop doing

Stop burying the lede for dwell time. That was an engagement-metric tactic. There is no dwell time inside a retrieval pipeline.

Stop writing long introductions. The introduction is now the most valuable real estate on the page. Spend it on the answer.

Stop assuming context carries. Each section will be read by something that has not read the previous section.

Stop hedging. "Generally speaking, it can often be somewhat more affordable" is a sentence no system will ever quote. Say the number or say nothing.

Frequently Asked Questions

Is LLM SEO different from traditional SEO?

How long should content be for LLM SEO?

Do keywords still matter for LLM SEO?

Does content need to be updated for LLM SEO?

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