Structured data, llms.txt and E‑E‑A‑T: the technical base for AI to cite your site

For an AI to understand and cite you, your site has to speak its language. We go over the technical layer of GEO without unnecessary jargon: schema, llms.txt, bot access and trust signals.

Good content is half of GEO. The other half is technical: making it easy for the machine to understand who you are and what you say. You don't need to be an engineer to know what to ask for; here's the essential.

Structured data (schema.org). It's code invisible to the visitor that tells Google and AIs, unambiguously, what each thing is: "this is a local business", "this is an article written by X", "this is a frequently asked question with its answer", "this is a 5‑star review". Marking up your site well with schema is one of the things that helps most to get cited correctly.

AI crawler access. Just as Google has its bot, OpenAI has GPTBot, Anthropic has ClaudeBot, and so on. If you want to appear in their answers, you usually want to let them read you (controlled from robots.txt). It's a strategic decision: let in whoever suits you.

llms.txt. It's an emerging standard: a text file at the root of your site that summarises, in plain language, what you offer and which pages matter, designed specifically so language models understand you quickly. It's early days, but implementing it is cheap and puts you ahead of those who don't know it yet.

E‑E‑A‑T: experience, expertise, authoritativeness and trust. It's not code, it's signals. An author with a name and a track record, a real "about us" page, a physical address, reviews, case studies with results. AIs, like Google, prefer to cite those who prove they know what they're talking about and that it's a real business, not a ghost page.

On top of all this, the usual: a fast site, with clean semantic HTML, that loads well and is accessible. A machine reads a well‑built site better. At Teix we build sites with this base already in place — schema, performance, trust signals — because that's what makes content work, today on Google and tomorrow in AI.