AI Crawlers: Who is Visiting Your Website?

Published: November 07, 2025 | Last Updated: February 18, 2026 | Read Time: 14 mins

Web traffic patterns have shifted. While traditional search bots continue to scan directories, a new class of AI crawlers are visiting sites daily to retrieve training and real-time query data. Ensure your assets are correctly structured by reading what is the llms.txt standard guide.

Key Takeaways

1. The Primary AI Crawling Engines

AI search engines and models operate custom crawler agents. The main User-Agents currently active include:

Active AI Crawler Agents Comparison

Crawler Name User-Agent Token Operator / Platform Primary Purpose
GPTBot GPTBot OpenAI Training data and web index
ClaudeBot ClaudeBot Anthropic Model training ingestion
Google-Extended Google-Extended Google Gemini model training opt-out
Applebot-Extended Applebot-Extended Apple Apple Intelligence training data

2. Controlling AI Access via Robots.txt

You can manage AI bot access directly in your robots.txt file:

User-agent: GPTBot
Disallow: /

User-agent: ClaudeBot
Disallow: /
Blocking these user-agents prevents them from scraping your pages for model training but will also block them from retrieving your llms.txt file. For a detailed guide on exclusion setups, read our llms.txt vs robots.txt differences guide.

3. The Case for Allowing AI Crawlers

While blocking AI bots is a common approach, allowing them to crawl your site can ensure your brand is cited and referenced accurately in generative answers. Hosting an llms.txt file helps these crawlers index your pages efficiently. Ensure your site is compliant with our live LLMs.txt Validator tool. Learn more about the ranking mechanics in our Generative Engine Optimization guide.

Frequently Asked Questions

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