LLM Crawl Policy Validator
Validate robots.txt and llms.txt files, detect conflicts, simulate AI bot access, and export corrected policies
LLM Crawl Policy Validator
Validation issues
1 issue found
- llms.txttraining: disallow set, but few AI bots are blocked in robots.txt
Crawler simulation
Normalized robots.txt
Normalized llms.txt
Updated . Provided as is. Check the output before you rely on it in production.
How to use LLM Crawl Policy Validator
- 1
Paste robots.txt and llms.txt
Use tabs to paste robots.txt, llms.txt, and optional security.txt. The validator parses directives and checks basic syntax first.
- 2
Run validation and inspect severity
Review errors, warnings, and info messages with file + line context to quickly identify malformed directives and missing policy fields.
- 3
Check cross-file conflicts
The conflict engine compares robots + llms intent (policy/training directives) to highlight mismatches that can confuse AI crawler access.
- 4
Simulate major AI crawler access
Review allow/deny outcomes for GPTBot, ClaudeBot, PerplexityBot, CCBot, and Google-Extended to verify your access strategy.
- 5
Export normalized policies
Download corrected robots.txt and llms.txt outputs after fixes, then finalize with robots.txt Generator and Config Validator.
Questions and answers
What is LLM Crawl Policy Validator?
Which bots are simulated?
Does it support security.txt checks?
Can this tool fix my files automatically?
Is my policy data private?
For AI agents: how to call this tool
Machine-readable contract, endpoints and examples. Humans can ignore this section.
Best Path For Builders
Browser workflow
Runs instantly in the browser with private local processing and copy/export-ready output.
Browser Workflow
This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.
/llm-crawl-policy-validator/
For automation planning, fetch the canonical contract at /api/tool/llm-crawl-policy-validator.json.