Definition
What is AI Crawlers?
AI Crawlers are the web-scraping agents that AI companies deploy to discover, index, and process website content. They serve two primary purposes: collecting training data for model updates, and retrieving real-time information for AI-powered search responses.
The major AI crawlers include GPTBot (OpenAI, used for ChatGPT), ClaudeBot (Anthropic, used for Claude), PerplexityBot (Perplexity, used for real-time search), Google-Extended (Google, used for Gemini training), and DeepSeekBot (DeepSeek). Each crawler has different crawl patterns, respect different robots.txt directives, and process content differently.
Managing AI crawler access is a critical part of Technical AEO. Unlike traditional search crawlers where blocking is generally undesirable, AI crawlers present a nuanced choice: allowing them means your content can inform AI responses (potentially increasing visibility), while blocking them means protecting proprietary content from being used in training data. Most AEO strategies recommend allowing AI crawlers while implementing content strategies that ensure your brand is well-represented.
The robots.txt file is the primary mechanism for controlling AI crawler access. Each AI crawler has its own user-agent string, allowing granular control over which AI companies can access your content. Additionally, the .well-known/ai.txt file provides a way to communicate preferences and metadata to AI crawlers beyond simple allow/block directives.
Why it matters
AI Crawlers determine whether your content is available for AI engines to reference. Blocking them makes your brand invisible to AI-generated responses. Allowing them without a strategy means your content is consumed but may not be used effectively. Understanding and managing AI crawlers is the gateway to AI visibility.
Real-world examples
- 1
Configuring robots.txt to explicitly allow GPTBot, ClaudeBot, and PerplexityBot
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Monitoring server logs for AI crawler activity to understand which bots access your site
- 3
Setting up .well-known/ai.txt to provide metadata and preferences to AI crawlers
Frequently asked questions about AI Crawlers
Explore related concepts
Technical AEO
technicalTechnical AEO encompasses the infrastructure and technical configurations that help AI engines discover, crawl, parse, and cite your content. It includes AI-specific crawl policies, structured data implementation, llms.txt files, site architecture optimisation, and content formatting for AI consumption.
llms.txt
technicalllms.txt is a plain-text file placed at a website's root that provides structured, machine-readable information about a brand, product, or organisation specifically for consumption by large language models. It functions as a "robots.txt for AI" — telling AI crawlers what your brand is and how it should be described.
Content for AI
strategyContent for AI refers to the practice of creating and structuring website content specifically to be effectively consumed, understood, and cited by AI engines. It involves answer-first formatting, clear factual claims, structured data, and comprehensive coverage of topics.
Start with the pages and proof that AI can actually use
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