Part of Generative Engine Optimization
AI Crawlers
AI crawlers are the bots — GPTBot, ClaudeBot, PerplexityBot, Google-Extended — that fetch pages to train and ground generative engines.
Overview
Each major AI vendor runs its own crawler with distinct user agents and policies. GPTBot (OpenAI) and Google-Extended (Google) gate training data; OAI-SearchBot and PerplexityBot fetch live pages for retrieval-augmented answers; ClaudeBot covers both. Blocking one and allowing another is normal — but blocking all of them removes your site from the AI answer surface entirely.
Components
- GPTBot
OpenAI training crawler
- OAI-SearchBot
OpenAI retrieval crawler
- ClaudeBot
Anthropic crawler
- PerplexityBot
Perplexity retrieval crawler
- Google-Extended
Gemini training opt-in
Related entities
- robots.txt — control surface
- User-agent — identification
Key facts
- Default crawler behavior is opt-out — you must explicitly Disallow if you want to block.
- Training crawlers and retrieval crawlers are usually distinct user agents.
- Server logs filtered for AI user-agents reveal real ingestion volume in days.
How to apply AI Crawlers
- 1
Review GPTBot
OpenAI training crawler. Check the current implementation, correct factual or technical gaps, then verify the public page rather than relying on configuration alone.
- 2
Review OAI-SearchBot
OpenAI retrieval crawler. Check the current implementation, correct factual or technical gaps, then verify the public page rather than relying on configuration alone.
- 3
Review ClaudeBot
Anthropic crawler. Check the current implementation, correct factual or technical gaps, then verify the public page rather than relying on configuration alone.
- 4
Review PerplexityBot
Perplexity retrieval crawler. Check the current implementation, correct factual or technical gaps, then verify the public page rather than relying on configuration alone.
- 5
Review Google-Extended
Gemini training opt-in. Check the current implementation, correct factual or technical gaps, then verify the public page rather than relying on configuration alone.
Implementation checks
| Check | Pass condition | Evidence to keep |
|---|---|---|
| Accuracy | Every claim matches the visible page and current source material. | Source URL and review date |
| Delivery | Important content is present in the public server response. | Saved response or crawler test |
| Consistency | Names, URLs, dates, and definitions agree across related pages. | Template and entity audit |
| Measurement | A fixed test shows whether discovery or answer accuracy changed. | Baseline and follow-up results |
Common mistakes
- Treating AI Crawlers as a one-time task instead of maintained site infrastructure.
- Publishing claims or markup that visitors cannot verify on the page.
- Changing several variables at once, then guessing which change affected visibility.
- Measuring a single AI answer instead of a fixed panel of repeatable prompts.
Questions about AI Crawlers
- What is AI Crawlers?
- Each major AI vendor runs its own crawler with distinct user agents and policies. GPTBot (OpenAI) and Google-Extended (Google) gate training data; OAI-SearchBot and PerplexityBot fetch live pages for retrieval-augmented answers; ClaudeBot covers both. Blocking one and allowing another is normal — but blocking all of them removes your site from the AI answer surface entirely.
- Where should implementation start?
- Start with GPTBot, verify the public result, then work through the remaining components in order. Record a baseline before making changes so the follow-up is meaningful.
- How should success be measured?
- Track technical validity, crawler access, accurate extraction, and citation presence across a fixed set of relevant questions. A single answer or crawler visit is not a trend.