What Are AI Crawlers?
AI crawlers are web bots that visit websites to gather data for AI systems. Unlike traditional search engine crawlers (like Googlebot), AI crawlers serve different purposes—either training AI models or enabling real-time AI search.
Major AI Crawlers
| Crawler | Company | Purpose |
|---|---|---|
| GPTBot | OpenAI | Training data |
| Google-Extended | Gemini training | |
| CCBot | Common Crawl | Training datasets |
| Anthropic-AI | Anthropic | Training data |
| PerplexityBot | Perplexity | Real-time search |
Training vs. Retrieval Crawlers
Training crawlers collect data to improve AI models:
- Data used for model training
- Historical snapshots
- No direct attribution
Retrieval crawlers enable real-time AI search:
- Data used for live answers
- Current content matters
- Citations back to source
Managing AI Crawler Access
Control access via robots.txt:
User-agent: GPTBot
Disallow: /
User-agent: PerplexityBot
Allow: /
Consider allowing retrieval crawlers (Perplexity) while blocking training crawlers if you want citations without contributing training data.
Why this matters
AI Crawler influences how search engines and users interpret your pages. When ai crawler is handled consistently, it reduces ambiguity and improves performance over time.
Common mistakes
- Applying ai crawler inconsistently across templates
- Ignoring how ai crawler interacts with canonical or index rules
- Failing to validate ai crawler after releases
- Over-optimizing ai crawler without checking intent
- Leaving outdated ai crawler rules in production
How to check or improve AI Crawler (quick checklist)
- Review your current ai crawler implementation on key templates.
- Validate ai crawler using Search Console and a crawl.
- Document standards for ai crawler to keep changes consistent.
- Monitor performance and update ai crawler as intent shifts.
Examples
Example 1: A site standardizes ai crawler and sees more stable indexing. Example 2: A team audits ai crawler and resolves hidden conflicts.
FAQs
What is AI Crawler?
AI Crawler is a core concept that affects how pages are evaluated.
Why does AI Crawler matter?
Because it shapes visibility, relevance, and user expectations.
How do I improve ai crawler?
Use the checklist and verify changes across templates.
How often should I review ai crawler?
After major releases and at least quarterly for critical pages.
Related resources
- Guide: /resources/guides/optimizing-for-chatgpt
- Template: /templates/definitive-guide
- Use case: /use-cases/saas-companies
- Glossary:
- /glossary/ai-overview
- /glossary/robots-txt
AI Crawler improvements compound when teams document standards and validate changes consistently.