AI Crawlers

Like traditional search crawlers, AI crawlers are automated agents that request and read pages. They serve two purposes: gathering content that shapes what models learn, and, for engines that retrieve live, fetching pages to build citations and grounded answers in real time. Each identifies itself with a distinct user agent, and each can be allowed or blocked in your robots.txt.

• Access is a prerequisite. A page an AI crawler can't read can't become a grounding source or a citation, no matter how good it is.
• Blocking is silent. Disallowing an AI crawler quietly removes you from that engine's retrievable universe, a self-inflicted visibility gap that's easy to miss.
• It's a real decision. Some brands block AI crawlers over content-use concerns. That's a legitimate trade-off, but it should be a deliberate choice, made knowing the visibility cost.

Review your robots.txt for rules affecting AI user agents, and decide per crawler whether to allow it based on the value of appearing in that engine. Complement access with a llms.txt file to guide AI systems to your most important content, and ensure pages are technically reachable (no accidental blocks, render-blocking, or auth walls on public content).

Crawler access underpins everything downstream: it enables citations, supports domain authority in AI search, and makes your passage-level citable content usable. It's the plumbing beneath a GEO program.

Should I block AI crawlers?

It depends on your goals. Blocking protects content from being used but costs you visibility in that engine's answers. Decide per crawler, knowing the trade-off.

Are AI crawlers the same as Googlebot?

No. Googlebot serves classic search (and Google-Extended governs AI use separately). AI crawlers like GPTBot and ClaudeBot are distinct agents with their own user agents and rules.