How to Get Cited by AI: llms.txt, Schema, and FAQ Pages That Work

The three on-page fixes that most reliably get you cited by AI are: an llms.txt file (a plain text file at your domain root that tells AI crawlers who you are and points them to your key pages), schema markup (structured data like Organization, Product, and FAQ schema that removes ambiguity about what your page is), and well-built FAQ pages (real buyer questions with short, direct, quotable answers). Together they make your content unambiguous and easy for a model to lift accurately. None require a developer for a basic version, and all three help classic SEO too.

If you want AI engines to quote you, you have to make your content unmistakable to a machine. Three on-page building blocks do most of that work: an llms.txt file, schema markup, and proper FAQ pages. This guide covers what each one is and how to put it in place. It is the most technical guide in this set, but every part has a no-developer version.

AI engines do not reward the cleverest page. They reward the clearest one, the page where the model can identify the brand, find the answer, and trust that it is current. Ambiguity is the enemy. A page that makes a model guess what it is about is a page the model skips in favor of a competitor whose content spells everything out.

The three fixes below all do the same underlying thing: they remove guesswork. That is why they work.

An llms.txt file is a plain text file you place at the root of your domain, at yoursite.com/llms.txt. It speaks directly to AI crawlers and tells them, in simple language, who you are, what you do, and which pages are most important.

Think of it as a README for AI. A useful one includes a short description of your brand, the audience you serve, and a linked list of your key pages (product, pricing, docs, FAQ) with a one-line note on what each covers. It is a young convention and not every engine uses it yet, but it is cheap to add and it makes your brand harder to misunderstand. Write it once, upload it, and keep it current.

Schema markup is structured data you add to a page so a machine knows exactly what the page is, without interpreting your prose. It has helped Google understand pages for years, and that same clarity helps AI engines identify and quote you.

Start with the three that matter most for visibility:

• Organization schema on your homepage: your name, what you do, your logo, your official links. This anchors your brand identity.
• Product or Service schema on your offering pages: what you sell, to whom, at what price.
• FAQ schema on your FAQ pages: each question and answer, marked so engines can parse them cleanly.

You do not need to write JSON by hand. Free generators produce the markup, and you paste it into the page head. The payoff is that engines stop guessing what your page is and start quoting the right facts.

FAQ pages are the single most quotable format for AI, because their shape matches how AI answers. A question, then a direct answer, is exactly the passage a model wants to lift.

To make one work:

• Use the real questions buyers ask, phrased the way they phrase them, not the way your marketing team would.
• Lead with a short, self-contained answer that stands on its own, then add detail below.
• Keep each answer tight and factual.
• Mark the page up with FAQ schema so each pair is machine-readable.

Pull your questions from your actual sales conversations, your support inbox, and the buyer prompts you tested when you measured your AI visibility baseline. Those are the questions the AI is already being asked.

None of these is a silver bullet on its own, but stacked they are powerful. The llms.txt points crawlers to your best pages. The schema tells them what those pages are. The FAQ content gives them clean passages to quote. Together they turn an ambiguous site into one an AI can read, trust, and repeat accurately.

They also help classic SEO, so this is not effort you spend only on AI. Clear structure, structured data, and genuine question-and-answer content have always helped pages rank. You are doing one job that pays off in two channels.

If hand-writing schema and an llms.txt is not how you want to spend your afternoon, you can have them generated for your specific site. Cituna scans your domain across the major AI engines, finds where your brand is missing or described wrong, and produces the schema markup, FAQ recommendations, and llms.txt tailored to your pages, so you can paste in the fixes and then re-scan to confirm they moved your visibility.

Ship the FAQ page first — it is the highest-yield item on the list and you can write it from your sent email today. llms.txt and schema follow this week; both point at pages that have to exist first.