Guide

How to get cited by AI.

ChatGPT, Claude and Perplexity build answers from pages they could fetch and read. This is the order of work that makes yours one of them, starting with the part nobody checks.

The order

Five steps, in sequence

Each step is wasted effort until the one before it is true. Work them in order.

  1. Let the crawlers in

    Resolve your robots.txt for all 15 named AI crawler tokens, then confirm your CDN agrees with it. An allowed crawler blocked at the edge is the most common invisible failure.

  2. Ship the words in the HTML

    Measure Prose Parity. If your content arrives after hydration, no amount of writing will help, because none of it reaches the crawler.

  3. Answer one question per page

    Retrieval systems quote passages, not pages. A page that answers one question clearly is quotable; a page that covers six topics is a summary nobody can cite.

  4. Put the answer near the top

    State the answer in the first paragraph, then explain it. Assistants extract the passage that most directly answers the query, and burying it under context costs you the quote.

  5. Be specific enough to be worth quoting

    Numbers, dates, named methods and stated limits. Generic marketing copy is interchangeable, and an assistant has no reason to prefer yours.

The writing

What makes a passage quotable

Once the page is readable, these are what decide whether it gets used rather than another one.

A direct claim

One sentence that answers the question without hedging, early in the section. Assistants extract sentences, and a sentence that says nothing definite cannot be extracted.

Attributable detail

A figure, a date, a named source. Detail that can be checked is detail worth repeating, and it is what distinguishes a source from a paraphrase.

Clean structure

Headings that name the question, paragraphs that hold one idea, lists where the content is genuinely a list. This is how a retrieval system chunks your page.

Stated limits

Saying what your claim does not cover makes the rest more credible, and models reproduce hedged claims more faithfully than absolute ones.

Common mistakes

What does not work

Four things that get recommended regularly and do nothing measurable.

The tactic Why people try it What actually happens
Keyword stuffing Habit from classic SEO Assistants extract meaning, not term frequency. Density has no effect on whether a passage is chosen.
Writing for the model The belief that AI reads differently The same clear prose that helps a reader helps a retrieval system. There is no separate machine dialect that outperforms plain writing.
Publishing more pages Volume worked for search Ten thin pages behind JavaScript reach a crawler as zero pages. One readable page beats all of them.
Adding llms.txt alone It feels like a switch No major vendor has committed to reading it. Serve one, but do not expect it to substitute for a readable page.

Citation has a prerequisite, and almost everybody skips it. Before an assistant can quote you it has to reach the page, receive the words, and find the passage that answers the question. Most advice on this subject starts at step three and assumes the first two are fine. They usually are not.

Nothing here promises a citation. These are the conditions that make one possible, in the order they have to be met.

Common questions

Can I make ChatGPT cite me?

No, and nobody can. What you can do is remove every reason it cannot: let the crawler in, ship the words in the HTML, and write a passage that answers a real question specifically enough to be worth quoting. Anyone selling guaranteed placements is selling something they do not control.

How long does it take to see a change?

The readability change is immediate and measurable: re-scan after the deploy and the number moves. Whether assistants start using the page is outside our measurement and outside anyone's control, which is why this site reports the first thing and not the second.

Does being in training data matter?

Less than people think, and it is not something you can influence retroactively. AI search fetches pages and answers from what it reads, so a page that grounds a clear answer today matters more than what a model absorbed two years ago.

Should I block training crawlers?

That is a business decision, not a technical one. Blocking training while allowing search is a coherent position and the crawler directory has the exact robots.txt lines for it. Just be aware the two are separate tokens and blocking one does not block the other.

What is the single highest-impact change?

For most sites, moving prose out of client-side rendering. It is half the score, it is usually where the whole deficit is, and it is a change your existing framework already supports.

Start with the prerequisite.

Steps three to five are writing work. Steps one and two are measurable in under a minute, and until they are true the rest cannot help.