llms.txt: The Complete Guide for Irish Websites
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AI agents do not browse websites the way people do. They parse, summarize, and link-hop, and every bit of navigation, ads, and JavaScript they have to wade through costs time and accuracy. llms.txt exists to fix that: a single plain markdown file at /llms.txt that gives AI crawlers a concise, expert-level briefing on your site. The specification is now in its second version, published on llmstxt.org, and adoption has gone mainstream: thousands of sites publish one, Chrome’s Lighthouse audits sites for one, and OpenAI, Anthropic, and Gemini publish llms.txt files for their own developer documentation.
What the file contains
The llms.txt proposal defines a precise, parseable structure:
- An H1 heading naming the site.
- A blockquote with a two or three sentence summary of what the site is and who it is for.
- Markdown links to the key pages, each with a short description so an agent knows what it will find there.
Version 2 of the spec also recommends clean markdown versions of important pages, served at the same URL with a .md extension, and standard link relations (rel=“alternate” and rel=“describedby”) so agents can discover them automatically.
A template for an Irish business site
# Acme Hardware Ltd
> Acme Hardware is a family-run hardware and garden centre in Cork.
> We sell building supplies, paint, and garden equipment, with delivery across Munster.
## Key pages
- [Home](https://acmehardware.ie/): store overview and current opening hours
- [Products](https://acmehardware.ie/products): full catalogue with prices
- [Delivery](https://acmehardware.ie/delivery): delivery areas, fees, and timelines
- [Contact](https://acmehardware.ie/contact): phone, Eircode, and directions
- [FAQ](https://acmehardware.ie/faq): returns, guarantees, and common questionsUpload it to the root of your site so it is served at /llms.txt, then test it: ask an AI assistant a question about your business while pointing it at your llms.txt, and see whether it answers correctly and cites you.
Where llms.txt fits in your AI search strategy
llms.txt is the technical foundation of getting cited by AI: it removes the friction between your content and the models that quote it. Pair it with structured data and answer-first content, and you give AI engines every reason to cite you. We covered the mechanics in our llms.txt explainer and ship it as standard in our AI search visibility service.
If you run WordPress, note that plugins like Yoast SEO and AIOSEO now generate llms.txt automatically, and Wix generates one for every site, so the file is becoming a default rather than an extra.
Next: Is SEO dead in 2026?
Frequently asked questions
What is llms.txt?
A plain markdown file at /llms.txt that gives AI crawlers and agents a concise, structured overview of your website: what it is, what matters, and where to find the details. Think of it as a briefing note for AI.
How is llms.txt structured?
An H1 title, a blockquote summary of the site, and markdown links with brief descriptions of the key pages, in the format defined by the llms.txt proposal. The v2 spec also recommends .md versions of important pages.
Do I need llms.txt if I already do SEO?
Yes. SEO helps search engines rank pages; llms.txt helps AI agents understand your whole site efficiently. The two are complementary layers, not rivals.
Who is using llms.txt already?
Thousands of sites, including the AI labs themselves: OpenAI, Anthropic, and Gemini publish llms.txt files for their developer documentation. Chrome's Lighthouse now audits sites for one.
How do I create llms.txt for my Irish business website?
Write a markdown file with an H1, a two-sentence summary in a blockquote, and links to your most important pages with short descriptions, then upload it to the root of your site as /llms.txt. Test it by asking an AI assistant about your site.
Will llms.txt get my brand cited by ChatGPT?
It removes friction, which helps, but citations still require good content and authority. Treat llms.txt as the technical foundation and follow our getting-cited-by-AI guide for the full playbook.