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 qué importa
Cada vez más usuarios descubren productos, comparan soluciones y buscan proveedores a través de herramientas de AI como ChatGPT, Perplexity y Gemini. Si su sitio no deja claro para AI quién es usted, qué hace, para quién sirve y qué páginas son las más importantes, AI puede ignorarle, interpretar mal su marca o citar contenido inexacto. La función de LLMs.txt es organizar en un punto de entrada claro la información que quiere que AI entienda primero:
- 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?
- Crea una base estructural para GEO / AI Search Optimization
- Hace que su sitio sea más fácil de leer, citar y recomendar para las herramientas de AI
No garantiza que vaya a aparecer de inmediato en respuestas de AI, pero cambia su sitio de un modelo en el que AI tiene que adivinar a otro en el que usted le indica explícitamente cómo debe entenderle.
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
Se recomienda publicarlo en /.well-known/llms.txt o en la raíz como /llms.txt, para que la ruta sea más estándar y más estable.
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.