Machine access is now a governance surface.
AI CRAWLER POLICY LLMS.TXT SPECIFICATION BOARD-RISK READABLE

Crawler Gate Review

Elias Brandt writes direct, diagnostic briefings on llms.txt, AI crawler access, and the policy choices websites are already making whether leadership has approved them or not.

Filed by Elias Brandt for teams that need the machine-readable rule to match the business position.

DEFAULT ≠ CONSENT

Every public site has a crawler policy. Some have only discovered it after the crawler did.

Robots.txt, llms.txt, paywalls, licensing terms, CDN rules, and model-vendor crawlers now form one executive question: which machines may read, summarize, train on, cite, or ignore the site?

ALLOW

When access is useful

Which pages should remain machine-readable because discovery, citation, or answer inclusion serves the business.

CONDITION

When access needs terms

How to separate quoting, indexing, summarization, retrieval, and training instead of collapsing them into one vague yes.

REFUSE

When silence is exposure

Where a crawler should meet a locked gate because the content economics, compliance position, or licensing posture demands it.

SPEC CHECKPOINT

The file is small. The decision behind it is not.

Coverage focuses on what llms.txt can say, what robots policy still controls, how crawlers actually behave, and where a public rule becomes a contract, a signal, or a board-level ambiguity.

Recent access decisions