AI Crawlers vs Search Engine Crawlers
How AI company crawlers differ from traditional search engine bots and why it matters for your strategy.
AI Crawlers
Bots like GPTBot, ClaudeBot, and others that gather content for AI model training and retrieval systems.
Advantages
- Index for AI recommendations
- Focus on content quality
- Build AI visibility
- Enable AI citations
Considerations
- Less transparent behavior
- Varying crawler policies
- Newer with less documentation
- Different access patterns
Search Crawlers
Traditional bots like Googlebot and Bingbot that index content for search engine results.
Advantages
- Well-documented behavior
- Clear indexing signals
- Established best practices
- Comprehensive tools available
Considerations
- Doesn't build AI visibility
- Search-only benefits
- Increasingly competitive
- Algorithm dependency
Our Verdict
Allow both types of crawlers access to maximize visibility. Block AI crawlers only if you have specific concerns about AI training.
Where This Applies
Related Integrations
WordPress
WordPress powers 43% of the web. Teoraspace helps you optimize your WordPress site for AI discoverability with proper structured data, content architecture, and AI crawler management—without breaking your existing setup.
Vercel
Teoraspace helps teams deploying on Vercel ensure their Next.js, React, and other sites are optimized for AI crawlers from day one. Fast deployment meets AI visibility best practices.
GitHub
Teoraspace helps open source projects and developer tool companies optimize GitHub repos, README files, and documentation for AI coding assistant discovery and recommendations.
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