Is llms.txt an official standard?

Not yet—it's an emerging community-driven standard gaining adoption. While not universally supported like robots.txt, several AI companies are implementing support for it. Think of early robots.txt adoption—brands who implement early gain competitive advantage. Implementing llms.txt is a low-effort, high-potential optimization, especially since it doesn't negatively impact anything.

What should I include in my llms.txt file?

Include: company/brand overview, main products/services with descriptions, expertise areas and industry focus, key differentiators vs. competitors, structured FAQ covering common questions, and navigation to important pages. Keep it concise (500-1000 words), structured, and focused on what LLMs need to accurately represent your brand. GEO platforms generate optimized llms.txt files based on your brand profile.

How is llms.txt different from structured data?

Structured data (Schema.org) is page-level markup embedded in HTML. llms.txt is a site-level summary file at your domain root, similar to sitemap.xml. Think of llms.txt as a 'brand README' for AI systems—it provides high-level context about your entire site, while structured data provides detailed metadata about individual pages. Both are complementary GEO tactics.

NEW v1.9: Insights Platform + Content Opportunities + Content Studio 🚀v1.9: Insights + Opportunities + Studio = 🚀

Technical

llms.txt

Standardized file proposing a structured summary of a site's content to optimize its understanding by LLMs.

Get Insights with AI

What is llms.txt?

llms.txt is an emerging file format designed specifically for language models. Placed at the root of a site (like robots.txt), it provides a structured and contextualized summary of the site's content, helping LLMs better understand its purpose, main sections, and expertise. This file can include product descriptions, structured FAQs, and semantic metadata to improve visibility in AI responses.

How Qwairy Makes This Actionable

Qwairy supports llms.txt implementation as part of our technical GEO optimization. We help you create and maintain llms.txt files that provide LLMs with structured, contextual information about your brand, products, and content to maximize AI comprehension.