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Use case·Publishers//LLMReady

Decide who may read and train on your content, and prove it.

Publishers want search and answer engines to find them but may not want models trained on their work. A robots.txt file is a request, and some fetchers ignore it.

daily-ledger.example/policyGPTBot
GPTBot 200 (training)ClaudeBot 200 (training)Unknown-bot 200No log of decisions
AI readiness
34
daily-ledger.example/policy.mdserved

Bot policy

Search may read. Training may not.

Decisions today

  • GPTBot 403, policy: block
  • OAI-SearchBot 200, policy: allow
  • Unknown-bot 403, identity failed
llms.txtmarkdownjson-ld
AI readiness
88
What LLMReady does

What changes for this job.

  • Sets a different policy for search, user-fetch and training bots
  • Checks bot identity against vendor IP ranges so a fake user agent is refused
  • Keeps a dated log of every bot decision
Checks that matter most

Start with these three.

robots.txt

Crawler access

Are the AI search bots, the on-demand fetchers and the training bots allowed or blocked, and was that your choice?

sitemap.xml

Sitemap health

Is every important page listed, current and reachable, with no dead or redirected URLs.

403 / 429

Firewall and bot rules

Security tools often block AI crawlers by accident. LLMReady requests your pages as each bot and reports what comes back.

FAQ

Questions on this use case.

01Can LLMReady stop a bot that ignores robots.txt?
It can refuse requests at the edge by policy and identity. Robots.txt alone cannot enforce anything.
02Does blocking training bots remove me from AI search?
No. Search and training are separate bots with separate rules.
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