How to Audit AI Crawler Access

List each documented crawler, its stated purpose, current policy, and the pages it may need. Do not collapse training, search retrieval, user-triggered fetching, and traditional indexing into one switch. Platform documentation can change, so record the review date.

Inspect robots.txt, page-level directives, authentication, CDN and firewall rules, rate limits, response codes, canonical behavior, rendering, and server logs. Test representative public URLs and sensitive paths separately. A robots allowance does not override a blocked firewall response.

Validate changes with the relevant user agent where safe, then monitor logs for expected behavior. Coordinate with security, privacy, legal, and infrastructure owners before altering access policies.

Classify findings as allowed, disallowed, technically blocked, unobserved, or uncertain. Explain the likely consequence narrowly. Crawler access may be necessary for some features, but it does not guarantee indexing, citation, recommendation, or model behavior.

Q: Is robots.txt an access-control system? A: No. It communicates crawler preferences; protect private content with proper authentication and authorization.

Q: Should every AI crawler be allowed? A: Make a documented risk-and-value decision for each agent and content class using current official guidance.