What is AI Crawler?

AI crawlers are web bots operated by AI companies to index content for language models and AI-powered search. Key crawlers include GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity AI), and Google-Extended (Google). Managing access via robots.txt determines whether AI systems can access your content for training and real-time responses.

Last updated: January 15, 2026

What Are AI Crawlers?

AI crawlers are automated bots that visit websites to collect data for AI systems. Unlike traditional search engine crawlers that index for search rankings, AI crawlers collect data for language model training, knowledge bases, and real-time AI responses.

The key AI crawlers you need to know:

Major AI Crawlers and Their User-Agents

CompanyUser-AgentPurpose OpenAIGPTBotChatGPT training + browsing OpenAIChatGPT-UserReal-time ChatGPT browsing AnthropicClaudeBotClaude AI training Anthropicanthropic-aiResearch/evaluation PerplexityPerplexityBotAnswer engine indexing GoogleGoogle-ExtendedGemini/AI training (not Search) Common CrawlCCBotOpen dataset used by many LLMs ByteDanceBytespiderTraining data collection AppleApplebot-ExtendedSiri/Apple AI features MetaFacebookBotMeta AI training MicrosoftbingbotCopilot (shared with Bing)

Why AI Crawler Management Matters

Your robots.txt decisions affect:

  • Training data: Whether your content informs future AI model knowledge
  • Real-time access: Whether AI can browse your site when users request it
  • Citation potential: Whether AI answer engines can cite you as a source
  • Competitive visibility: Whether AI recommends you or just your competitors
  • Configuring robots.txt for AI Crawlers

    Allow all AI crawlers (maximum visibility):

    User-agent: GPTBot
    

    Allow: /

    User-agent: ChatGPT-User

    Allow: /

    User-agent: ClaudeBot

    Allow: /

    User-agent: anthropic-ai

    Allow: /

    User-agent: PerplexityBot

    Allow: /

    User-agent: Google-Extended

    Allow: /

    Block all AI crawlers:

    User-agent: GPTBot
    

    Disallow: /

    User-agent: ChatGPT-User

    Disallow: /

    User-agent: ClaudeBot

    Disallow: /

    User-agent: anthropic-ai

    Disallow: /

    User-agent: PerplexityBot

    Disallow: /

    User-agent: Google-Extended

    Disallow: /

    Selective access (block training, allow browsing):

    User-agent: GPTBot
    

    Disallow: /

    User-agent: ChatGPT-User

    Allow: /

    User-agent: Google-Extended

    Disallow: /

    AI Crawler Behavior Patterns

    Crawl Frequency:

  • PerplexityBot: Most aggressive, crawls frequently
  • GPTBot: Moderate frequency
  • ClaudeBot: Less frequent, conservative
  • Google-Extended: Varies based on site importance
  • Content Focus:

  • Text content prioritized over images/video
  • Limited JavaScript execution across most AI crawlers
  • HTML content in initial response preferred
  • Structured data (schema.org) helps understanding
  • Monitoring AI Crawler Activity

    Check server logs for AI crawler visits:

    # Count visits by AI crawler
    

    grep -E "GPTBotClaudeBotPerplexityBotGoogle-Extended" access.log wc -l

    # See which pages they're accessing

    grep "GPTBot" access.log awk '{print $7}'sortuniq -csort -rn head -20

    Look for:

  • Regular crawl patterns (healthy activity)
  • 200 response codes (successful access)
  • Important pages being crawled
  • Any 403/503 errors (potential blocking issues)
  • Training Data vs Real-Time Access

    Training data crawlers collect content to train future model versions:

  • GPTBot (training component)
  • ClaudeBot
  • Google-Extended
  • CCBot
  • Real-time crawlers access content when users ask questions:

  • ChatGPT-User
  • PerplexityBot (real-time search)
  • Blocking training crawlers affects long-term AI knowledge. Blocking real-time crawlers affects immediate visibility.

    Common AI Crawler Mistakes

    1. Accidentally blocking via wildcards

    Overly broad robots.txt rules may block AI crawlers unintentionally:

    # This blocks everything including AI
    

    User-agent: *

    Disallow: /

    2. Not distinguishing between crawlers

    Different crawlers serve different purposes. Blocking one doesn't block others.

    3. Blocking crawlers but expecting visibility

    You can't be invisible to AI training and visible in AI recommendations simultaneously.

    4. Not verifying actual access

    Check server logs to confirm your robots.txt is working as intended.

    5. Ignoring new crawlers

    New AI crawlers emerge regularly. Review your policy periodically.

    The Visibility-Privacy Tradeoff

    Allowing AI crawlers means:

  • ✅ AI can recommend your brand
  • ✅ Your content may inform AI responses
  • ❌ Your content may train AI models
  • ❌ Less control over how content is used
  • Blocking AI crawlers means:

  • ✅ Your content won't train AI
  • ✅ More control over content usage
  • ❌ AI won't recommend you
  • ❌ Competitors may capture your visibility
  • Most businesses find the visibility benefits outweigh the concerns, but it's a strategic decision based on your priorities.

    Staying Current with AI Crawlers

    The AI crawler landscape evolves quickly:

  • New AI companies launch crawlers
  • Existing crawlers update user-agents
  • Behavior patterns change
  • Review your AI crawler policy quarterly and monitor industry updates.

    Related Terms

    Track Your AI Crawler

    BrandVector helps you monitor and improve your AI visibility across ChatGPT, Claude, Perplexity, and Grok.