How it works
This prototype mirrors the shape of a real tool without calling a live API.
Step 1
Enter the website you want to describe
Use the homepage or the main domain you want to summarize for AI systems.
Step 2
Review the mock LLMs.txt output
The preview shows the kind of concise structure you would usually publish at /llms.txt.
Step 3
Use the page guidance before publishing
Once the draft looks right, review your key pages, publish the file, and keep it updated as the site evolves.
What is llms.txt
LLMs.txt is a lightweight text file that gives AI systems a cleaner starting point for understanding your website. It usually lists the pages you want models to read first and adds brief context about why they matter.
It is not a formal replacement for existing technical files. Think of it as an interpretation layer that helps answer engines move faster toward the pages that best represent your brand, product, and documentation.
Por que isso importa
Cada vez mais usuários descobrem produtos, comparam soluções e procuram fornecedores por meio de ferramentas de AI como ChatGPT, Perplexity e Gemini. Se o seu site não deixar claro para a AI quem você é, o que faz, para quem serve e quais páginas são mais importantes, a AI pode ignorar você, interpretar sua marca de forma errada ou citar conteúdo impreciso. A função do LLMs.txt é organizar, em um ponto de entrada claro, as informações que você quer que a AI entenda primeiro:
- It gives AI systems a short path to your most important pages instead of leaving them to infer priority from a large site alone.
- It helps teams align on which URLs should represent the brand in AI discovery, evaluation, and citation workflows.
- It creates a simple checkpoint for AI visibility work: which pages should be understood first, and are those pages actually strong enough to earn trust?
- Cria uma base estrutural para GEO / AI Search Optimization
- Torna o seu site mais fácil de ser lido, citado e recomendado por ferramentas de AI
Isso não garante que você aparecerá imediatamente nas respostas de AI, mas muda o seu site de um modelo em que a AI precisa adivinhar para um modelo em que você indica explicitamente como quer ser entendido.
LLMs.txt vs robots.txt vs sitemap.xml
These files do different jobs. They work better together than as substitutes for one another.
| Area | LLMs.txt | robots.txt | sitemap.xml |
|---|---|---|---|
| Primary purpose | Explains which pages matter and how to read them | Controls crawler access | Lists URLs for discovery |
| Best for | Brand, product, docs, and priority context | Blocking or allowing paths | Helping engines find pages |
| Typical content | Short summaries with grouped links | Rules and directives | Structured URL inventory |
How to publish it
The operational part is simple. The important part is choosing the right pages and keeping them current.
Step 1
Start with a short summary of the site
Use one or two lines that explain what the company does and what kind of pages AI should treat as primary sources.
Step 2
List only the pages that matter most
Include product, pricing, documentation, help, or educational pages that best explain the site.
Step 3
Publish the file at the site root
Recomendamos publicar em /.well-known/llms.txt ou na raiz como /llms.txt, para que o caminho fique mais padronizado e mais estável.
Step 4
Refresh it when priorities change
Update the file when you launch new products, replace old pages, or change the structure of your docs.
Who it’s for
- Site owners who want a simple first pass before investing in deeper AI visibility work.
- SEO, GEO, and content teams that need to define which URLs should represent the brand in AI systems.
- Documentation-heavy products that want to guide models toward product pages, setup guides, and support content faster.