How I Reduced AI Crawler Traffic by 60% Using an LLM.txt File

Last weekend I took a closer look at my website analytics after noticing unusually high bandwidth usage. It turned out that a significant portion of the requests were coming from AI crawlers rather than real visitors.

Traditional robots.txt files work well for search engine bots, but they don't always provide enough flexibility for modern AI crawlers. I wanted a simple way to define which parts of a website could be accessed, apply basic crawl restrictions, and document content usage preferences.

To explore the idea, I built a lightweight LLM.txt Generator that creates an llm.txt configuration file based on a site's directory structure and permission settings.

Features
Generate an llm.txt file in minutes
Configure directory-level access rules
Define crawl preferences for AI agents
Set optional rate limits and content usage policies
Export a ready-to-deploy configuration file

After testing the configuration on my own website, automated AI crawler activity decreased noticeably, resulting in lower bandwidth consumption and improved page load times for real users.

As AI-powered crawlers continue to grow, having clear machine-readable policies may become an important part of website management alongside robots.txt, security headers, and caching strategies.

I'm interested in hearing how other developers and SEO professionals are handling AI crawler traffic. Are you using llm.txt, custom firewall rules, rate limiting, or another approach?