When access is useful
Which pages should remain machine-readable because discovery, citation, or answer inclusion serves the business.
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.
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?
Which pages should remain machine-readable because discovery, citation, or answer inclusion serves the business.
How to separate quoting, indexing, summarization, retrieval, and training instead of collapsing them into one vague yes.
Where a crawler should meet a locked gate because the content economics, compliance position, or licensing posture demands it.
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.
Current brief
Most organizations think crawler policy is a technical footnote until a model reads the wrong thing, skips the right thing, or treats silence as consent. This review turns robots rules, llms.txt files, crawler behavior, and vendor claims into decisions a general counsel, CMO, publisher, and CTO can argue about in the same room.
Gate log