Author: Kita Yohei Published: June 9, 2026
Controlling how AI crawls your site and what it reads is one of the technical foundations of GEO strategy. This page organizes 9 concepts for AI crawler management. Understanding how AI crawlers work, controlling their access, and communicating your site structure — these three steps form the AI crawler management map.
1. Understanding AI Crawlers
AI services use their own crawlers to traverse the web, collecting information for training data and response generation. Start by understanding what AI crawlers exist, grasp the User-Agent concept that identifies them, then design access control through robots.txt.
- AI Bot Crawl
- The collective term for the mechanisms by which AI services crawl the web — including GPTBot, ClaudeBot, and Googlebot-Extended. The starting point for understanding which AI is visiting your site and for what purpose.
- User-Agent
- The string a crawler uses to identify itself. A necessary concept for identifying specific AI crawlers like GPTBot and PerplexityBot in robots.txt to control access.
- robots.txt
- A file that specifies URL patterns to allow or disallow for crawlers. Specify AI crawlers by User-Agent to control crawling from a GEO strategy perspective.
2. Instructing and Controlling Crawls
Beyond basic access control via robots.txt, more granular crawl control is possible using AI-specific file formats and legal rights declarations. llms.txt is a new file format designed specifically for AI, while TDM exceptions are a copyright-based control method.
- llms.txt
- A text file placed to communicate site overview, important pages, and usage terms to AI crawlers. A new file format functioning as the AI equivalent of robots.txt.
- llms-full.txt
- An extended version of llms.txt. A file consolidating detailed information so AI crawlers can efficiently retrieve content across the entire site.
- noindex
- A meta tag or HTTP header that excludes specific pages from being indexed. Used for crawl control of pages that shouldn't be indexed.
- TDM Exception / Crawl Refusal Declaration
- A rights declaration refusing AI text and data mining use of content. A legal crawl control method based on copyright.
3. Communicating Site Structure to AI
For pages where crawling is permitted, it's also important to help AI and search engines accurately understand your site structure. XML sitemaps and lastmod are the means of telling AI "which pages exist" and "when they were updated."
- XML Sitemap
- An XML file that lists site URLs to communicate to AI and search engines. Improves crawl efficiency and reduces the risk of important pages being missed.
- Sitemap lastmod
- A tag in the XML sitemap indicating the last update date and time of each URL. Becomes a factor in AI and search engines prioritizing recently updated content for crawling.
Explore Other Categories
AI crawler management is one of five categories for understanding GEO strategy. Reading across categories connects the full picture.
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