Robots.txt Auditor

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Audit robots.txt rules, user-agent matching, and URL crawl eligibility with diagnostics.

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Audit robots.txt rules, user-agent matching, and URL crawl eligibility with diagnostics.

Why this matters

Incorrect robots directives can block important pages or expose unwanted crawl paths.

Best practices

  • Keep robots groups explicit for critical user agents.
  • Test representative URLs before deploying updates.
  • Use sitemap directives to support discovery workflows.

Use Cases

  • Estimate materials before purchasing to reduce project waste.
  • Compare scenarios on-site and adjust quantities in real time.
  • Create clearer project plans with transparent calculation logic.

Frequently Asked Questions

Does this tool fetch live robots.txt files?
No. Paste robots.txt content directly for local analysis. Review assumptions and warnings together with the final value before making decisions.
How are allow/disallow conflicts resolved?
The longest matching path rule wins. Review assumptions and warnings together with the final value before making decisions.
How reliable are the calculated results in this tool? (Robots.txt Auditor)
This tool applies deterministic formulas to the exact inputs you provide, so the same input always returns the same output. Accuracy depends on input quality and on how closely real-world conditions match the model assumptions shown below the result. Use the output as structured decision support, then validate with project-specific constraints when stakes are high.
Are my inputs saved or sent to a server? (Robots.txt Auditor)
Calculations run locally in your browser session for immediate feedback, and no manual form submission is required. If you use export actions, files are generated and downloaded on your device. For sensitive workflows, you can still clear the form and browser data after use.
What input mistakes most often lead to misleading results? (Robots.txt Auditor)
The most common issues are unit mismatches, unrealistic defaults left unchanged, and incomplete boundary conditions. Double-check decimal separators, percentages versus absolute values, and the selected mode or profile before calculating. If results look unexpected, run a second scenario with conservative values to verify sensitivity.

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