What is llms.txt?
llms.txt is a plain-text file placed at the root of your website — similar to robots.txt — that gives large language models a concise, structured summary of your site. While robots.txt tells crawlers what to index, llms.txt tells AI engines what your business is, what you offer, and how your content is organized.
The convention was proposed in late 2024 and has gained traction as more businesses realize that AI engines need explicit signals to understand context. A well-structured llms.txt file acts as a cheat sheet for ChatGPT, Claude, Perplexity, and Gemini when they process your domain.
Why does llms.txt matter for GEO?
AI engines pull information from many sources — web pages, structured data, knowledge graphs, training data. But they often lack the context to understand how different pieces of your site fit together. llms.txt fills that gap.
Without llms.txt, an engine might index your homepage, a few blog posts, and a pricing page — but miss how they relate. With llms.txt, the engine gets a clear map: this is the company, these are the services, this is who runs it, and here's where to find the key content.
Three specific benefits:
- Faster entity recognition. The file explicitly declares your business name, what you do, and your key people. This accelerates how quickly an engine associates your brand with your domain topics.
- Content prioritization. You tell the engine which pages matter most. Instead of treating every URL equally, the engine knows your service pages, case studies, and foundational guides carry the most weight.
- Multilingual clarity. For businesses operating in multiple languages, llms.txt can specify which content exists in which language — preventing the engine from confusing or conflating localized versions.
What does a llms.txt file look like?
The format is simple: Markdown-style headings followed by descriptive text and links. Here's a condensed example:
```
Wishfy
> AI-native search visibility consultancy.
> SEO, GEO, AEO, and end-to-end build services.
Services
- SEO: Search engine optimization for organic growth.
- GEO: Generative engine optimization for AI citations.
- AEO: Answer engine optimization for featured snippets.
About
Wishfy is led by Waseem Saddique.
Founded in the Netherlands. Serves clients in EN, NL, DE, FR.
Key content
- Blog: Insights on SEO, GEO, and AI search.
```
The file lives at `yoursite.com/llms.txt`. No special hosting configuration required — it's a static text file served like any other asset.
How do you handle llms.txt in multiple languages?
At Wishfy, we serve llms.txt in 4 languages: English, Dutch, German, and French. Each version describes the same business and services but in the language that matches the locale. This means an AI engine processing a Dutch-language query about SEO agencies gets the Dutch version of our llms.txt — with Dutch descriptions, Dutch service names, and links to Dutch content.
This isn't just a translation exercise. Each localized llms.txt prioritizes the content that exists in that language. If a case study is only available in English and Dutch, the German version won't reference it. Accuracy matters more than completeness.
How do you implement llms.txt?
Step 1: Create a plain text file named `llms.txt` in your site's public root directory.
Step 2: Structure it with Markdown headings. Start with your business name as an H1, add a blockquote summary, then organize sections for services, about, and key content.
Step 3: Link to your most important pages. Use descriptive anchor text that tells the engine what each page covers.
Step 4: If you operate in multiple languages, create localized versions. You can serve them via content negotiation or as separate files (e.g., `/llms-nl.txt`).
Step 5: Update the file when your site changes. Add new services, remove discontinued pages, update descriptions. Treat it like a living document.
Is llms.txt worth implementing?
The llms.txt specification was originally proposed by Jeremy Howard and is documented at llmstxt.org, which provides the canonical format definition and implementation guidance. As noted by the specification, the file follows a Markdown-inspired structure specifically designed for LLM consumption, distinct from robots.txt which addresses traditional crawlers. Early adopters report measurable improvements in how accurately AI engines describe their businesses, as the file reduces hallucination by providing a single authoritative source of truth.
llms.txt costs nothing to implement and takes under an hour to set up. It gives AI engines a structured, authoritative summary of your business that no amount of crawling can replicate. For any business investing in GEO, it's one of the highest-leverage technical actions you can take.