# Evaluating the Value of llms.txt for AI Retrieval

DevFeed: [Evaluating the Value of llms.txt for AI Retrieval](<https://devfeed.tech/articles/the-value-of-llms-txt-hype-or-real-31100.md>)

Original publisher: [Read original article](<https://www.mintlify.com/blog/the-value-of-llms-txt-hype-or-real>)

Author: Tiffany Chen

Published: 2025-05-09T00:00:00Z

Content type: article

Language: en

Sources: [Mintlify Blog](<https://devfeed.tech/sources/mintlify-blog.md>)

Topics: [LLMs](<https://devfeed.tech/topics/llms.md>), [web-standards](<https://devfeed.tech/topics/web-standards.md>), [AI Trends](<https://devfeed.tech/topics/ai-trends.md>)

Tags: [a2a-protocol](<https://devfeed.tech/tags/a2a-protocol.md>), [ai-trends](<https://devfeed.tech/tags/ai-trends.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [generative-engine-optimization](<https://devfeed.tech/tags/generative-engine-optimization.md>), [google](<https://devfeed.tech/tags/google.md>), [llms](<https://devfeed.tech/tags/llms.md>)

## AI overview

The article evaluates whether llms.txt provides practical value for AI-driven discovery and retrieval. It argues that structured, simplified text files can help large language models process web content more efficiently, citing reported adoption and observations from Vercel, Google, Anthropic, and Windsurf.

## Source excerpt

If you've been following AI trends, you've probably heard of llms.txt.