Is llms.txt an official standard?

Not yet. llms.txt is a community proposal introduced by Jeremy Howard in late 2024. It does not have formal RFC status like robots.txt. However, adoption is growing among AI-forward companies, and several AI tool developers have expressed interest in supporting it. Implementing it now is a low-risk bet on a likely future standard.

What is the difference between llms.txt and robots.txt?

robots.txt tells crawlers which pages they can or cannot access. llms.txt tells AI models what your site is about and where to find the most important content. They serve complementary purposes - robots.txt controls access, while llms.txt provides context and guidance for better comprehension.

Where do you put the llms.txt file?

Place it at the root of your domain - for example, https://www.example.com/llms.txt. This follows the same convention as robots.txt. Some implementations also support a compressed version at /llms-full.txt that includes more detailed content for models that want deeper context.

Do AI models actually read llms.txt today?

Adoption is early. Some AI tools and agents are beginning to check for llms.txt files, but major models like ChatGPT and Perplexity do not yet officially use it as a primary signal. Creating one now positions your site ahead of wider adoption and costs almost nothing to implement.

What Is llms.txt?

llms.txt is a proposed standard for a plain text file placed at the root of a website that provides AI language models with structured context about the site, its purpose, and its most important content. Think of it as a welcome guide for AI - while robots.txt tells crawlers where they can go, llms.txt tells AI models what they should know about your site and what content matters most.

The concept was introduced by Jeremy Howard in late 2024, and while it is not yet a formal standard, adoption is growing among companies that want to optimize how AI models understand and represent their content.

How Does llms.txt Work?

The llms.txt file sits at https://yourdomain.com/llms.txt and contains structured information in markdown format. A typical llms.txt file includes:

# Site Name

> Brief description of what this site is about.

## About

Company description, mission, and key offerings.

## Key Pages

- [Product Overview](/product): Description of what the product does.
- [Documentation](/docs): Technical documentation and guides.
- [Blog](/blog): Latest articles on [topic].
- [Pricing](/pricing): Plans and pricing information.

## Additional Context

Any other information that helps AI models accurately represent your brand.

The file uses familiar markdown formatting, making it human-readable while also being easy for AI models to parse. The structure is intentionally simple - headings organize information, links point to key resources, and descriptions provide context.

Why Would You Create an llms.txt File?

The core problem llms.txt solves is context. When an AI model crawls your website, it processes pages individually. It might crawl your pricing page without understanding that you are a startup infrastructure company, not an enterprise vendor. It might read a blog post without knowing it represents your core expertise area.

llms.txt provides the overview that helps AI models connect the dots. By explicitly stating what your site is about, what your most important pages are, and how your content is organized, you reduce the chance of misrepresentation in AI-generated responses.

For startups, this is especially valuable because AI models have less existing context about newer companies. A well-established brand like Salesforce does not need to explain itself to AI models - decades of web content provide that context. A two-year-old startup does not have that luxury.

What Should Startups Include in Their llms.txt?

Focus on the information that helps AI models accurately represent your brand:

Company identity. What you do, who you serve, and what makes you different. Keep it to two or three sentences - concise and factual.

Key content. Link to your most important pages with brief descriptions. Prioritize content you want AI models to cite - your best blog posts, product pages, and resource pages.

Topic authority. State the topics you are an authority on. If you write about GEO optimization and social media distribution, say so. This helps AI models understand which queries your content is relevant for.

Contact and attribution. Include how you want to be credited and where users can learn more. This helps AI models provide accurate attribution when citing your content.

How Is llms.txt Different from robots.txt and sitemap.xml?

File	Purpose	Audience
robots.txt	Controls crawler access (allow/block)	Web crawlers
sitemap.xml	Lists all pages for discovery	Search engine crawlers
llms.txt	Provides context about the site	AI language models

These three files work together. robots.txt controls access. Your sitemap helps crawlers discover all your pages. llms.txt helps AI models understand what those pages mean in the context of your overall site.

Should You Create One Now?

The honest answer: creating an llms.txt file is a low-effort, low-risk action with potential upside. It takes 15 to 30 minutes to write, costs nothing to deploy, and positions your site for wider AI model adoption of the standard.

The practical reality is that major AI platforms like ChatGPT and Perplexity do not yet officially parse llms.txt as a primary signal. But the trend toward AI models seeking structured site context is clear. Early adopters who create the file now will be ahead when adoption increases.

At Conbersa, we view llms.txt as part of a broader AI readiness checklist alongside robots.txt configuration, schema markup, and GEO-optimized content structure. No single file guarantees AI visibility, but each one reduces the friction between your content and the AI models you want citing it.