LLMs.txt is a proposed plain-text file intended to guide AI models on which pages of a website to prioritize when crawling. While major AI platforms have not yet confirmed their use of LLMs.txt, some site owners are preemptively adding it, anticipating a surge in AI-generated traffic. This file is not meant to replace robots.txt, which dictates what crawlers can access. Instead, LLMs.txt suggests key pages for AI consideration, potentially improving how AI models cite and understand a site’s content. Creating an LLMs.txt file involves listing important URLs with brief descriptions and placing the file in the site's root directory. The formatting relies on markdown, allowing for a clear structure that both humans and AI can read easily. Examples from companies like BX3 Interactive and Hugging Face illustrate various approaches, from simple lists of key services to detailed documentation that includes installation commands and code snippets. While the potential benefits of LLMs.txt are intriguing—such as better control over AI citations and simplified content parsing—there are significant limitations. No major AI platform has adopted it, making its effectiveness uncertain. It operates on a voluntary basis; AI models are not bound to follow its suggestions. This opens the door for potential misuse, as site owners could manipulate the file to create misleading or irrelevant entries. The overall sentiment leans toward treating LLMs.txt as an experiment rather than a guaranteed strategy for enhancing AI visibility.