LLM Crawl Policy Validator
Validation Issues
- llms.txtConsider adding 'policy: allow|disallow' for explicit intent
Crawler Simulation
Normalized robots.txt
Normalized llms.txt
What This Tool Does
LLM Crawl Policy Validator is built for deterministic developer and agent workflows.
Validate robots.txt and llms.txt policies, detect cross-file conflicts, simulate AI crawler access, and export corrected policy files.
Use How to Use for execution steps and FAQ for constraints, policies, and edge cases.
Last updated:
This tool is provided as-is for convenience. Output should be verified before use in any production or critical context.
Agent Invocation
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.
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.