#llms.txt
5 related articles
llms.txt in Practice: Zero Crawls in 30 Days — What Are AI Crawlers Actually Reading?
A 30-day test reveals Cloudflare-identified AI crawlers made zero requests to llms.txt while robots.txt got 605. Is llms.txt still useful? What do AI crawlers actually read? We break down the data, the proposal's intent, and priorities for getting AI to read your site.
llms.txt Log Analysis: Who's Actually Reading It?
Analyzing real request sources for llms.txt via Nginx access logs, using grep/awk to identify GPTBot, ClaudeBot and other crawlers, and clarifying what logs can and cannot prove for GEO practice.
GEO Technical Readiness Checklist: Get Your Website Indexed by AI Search and LLMs
GEO (Generative Engine Optimization) is changing how websites are discovered by AI search agents and LLM crawlers. This article outlines five technical readiness checks: AI crawler access verification, initial HTML response inspection, JSON-LD structured data validation, llms.txt configuration, and readiness quantification measurement, helping content and engineering teams meet the technical threshold of the GEO era.
llms.txt Practical Guide: How to Create It and What to Realistically Expect
llms.txt practical guide: what it is, why there's no evidence it boosts AI citations, how to create it in 10 minutes, and the GEO levers worth prioritizing instead.
llms.txt Best Practices: Give AI Agents a Map They Won't Get Lost In
llms.txt is a site map for AI agents—it won't boost rankings but saves retrieval requests. This guide covers file structure, six key traits, absolute URLs, short descriptions, a five-step maintenance loop, and its boundaries with robots.txt and structured data.