ConfigGenerator

AI Crawler Policy Generator and Analyzer

Analyze robots.txt for AI bots, detect conflicts, generate Cloudflare WAF rules, and manage your AI crawler policies.

Output:A ready-to-use configuration file for AI Crawler Policy and Analyzer with best practices applied.

Privacy-Safe Static Analysis

This tool analyzes public robots.txt and policy text completely client-side. Do not paste private credentials, API keys, or confidential information.

Live domain fetching may not work in a fully static browser-only tool because many sites block cross-origin fetches. Paste mode gives the most reliable analysis.

Use these commands to fetch your files manually if CORS blocks the request:

curl -s https://example.com/robots.txt | pbcopy

Run an analysis or generate a policy to see results.

Quick Summary

Use an AI Crawler Policy Generator when you need to analyze robots.txt, detect AI crawler rules, separate search crawlers from AI training crawlers, generate allow/block policies, check llms.txt, create Cloudflare recommendations, and produce an AI crawler policy page.

What is this tool?

An AI Crawler Policy Generator provides high-accuracy practical analysis of your current robots.txt rules, helping you understand exactly which AI bots can crawl your site.

It gives you a production-ready starting point for your policies, whether you want to block AI training bots, allow AI search bots, or enforce strict access rules. Remember that robots.txt communicates preferences but does not force every crawler to comply.

How to Use This Tool

  1. Analyze: Paste your existing robots.txt to detect rule conflicts and AI crawler behavior.
  2. Generate: Select a policy preset to automatically generate your rules.
  3. Protect: Review the Cloudflare WAF recommendations for stricter edge-level enforcement.
  4. Document: Generate a policy page and an llms.txt file to document your preferences. (Note: llms.txt is a proposed convention, not a guaranteed crawler control mechanism).
  5. Review: Always review before deployment and verify with official crawler documentation.

What This Tool Generates

  • robots.txt — tailored allow/block policies.
  • llms.txt — policy documentation for AI agents.
  • Cloudflare Rules — WAF expression recommendations.
  • Policy Page — A markdown page outlining your usage rules.
  • Change Report — A summary of detected conflicts and recommendations.

Best Practices

  • Always review before deployment.
  • Verify with official crawler documentation, as user-agent strings change over time.
  • robots.txt communicates preferences but does not force every crawler to comply.
  • Use Cloudflare WAF rules for stricter enforcement against scraping.

Common Mistakes

  • Assuming robots.txt fully blocks AI training.
  • Assuming llms.txt guarantees crawler control or ranking.
  • Blocking 'Google-Extended' and mistakenly thinking it harms Google Search indexing.
  • Using a wildcard block ('User-agent: * Disallow: /') and accidentally de-indexing your site from standard search engines.

Security Notes

  • For strict enforcement, rely on Cloudflare WAF or network-level blocking.
  • Do not rely solely on robots.txt for sensitive data protection.

Frequently Asked Questions

What is an AI Crawler Policy Generator?
An AI Crawler Policy Generator is a tool that provides high-accuracy practical analysis of your robots.txt, separating standard search crawlers from AI training bots, and providing a production-ready starting point for your AI blocking policies.
How do I block GPTBot in robots.txt?
To block OpenAI's GPTBot, add 'User-agent: GPTBot' followed by 'Disallow: /' to your robots.txt file. Always review before deployment.
How do I block ClaudeBot in robots.txt?
To block Anthropic's ClaudeBot, add 'User-agent: ClaudeBot' followed by 'Disallow: /' to your robots.txt. Verify with official crawler documentation for the latest user-agent strings.
How do I allow ChatGPT crawler?
You can explicitly allow 'User-agent: ChatGPT-User' with 'Allow: /' if you want ChatGPT to be able to browse your site when a user specifically asks it to.
What is OAI SearchBot?
OAI-SearchBot is the crawler used by OpenAI for their AI search engine (SearchGPT) rather than foundational model training.
What is the difference between AI training crawlers and AI search crawlers?
AI training crawlers (like GPTBot or ClaudeBot) scrape data to train foundational models. AI search crawlers (like PerplexityBot or OAI-SearchBot) fetch data to provide live answers with attribution. You may want to allow search but block training.
Does robots.txt stop AI training?
No. robots.txt communicates preferences but does not force every crawler to comply. Some crawlers or older datasets may ignore it.
Should I block all AI crawlers?
It depends on your goals. Blocking all AI crawlers prevents training, but also removes your site from AI answer engines (like SearchGPT and Perplexity). Many sites use a hybrid approach.
What is llms.txt?
llms.txt is a proposed convention, not a guaranteed crawler control mechanism. It provides a standardized markdown file to guide friendly AI agents.
Does llms.txt guarantee crawler control?
No. llms.txt is merely a proposed convention, not a guaranteed crawler control mechanism or ranking mechanism.
How can Cloudflare help block AI crawlers?
Cloudflare provides WAF (Web Application Firewall) Custom Rules which can block traffic at the network edge based on user-agent strings, offering stricter enforcement than robots.txt.
How do I prevent staging or pages.dev URLs from being indexed?
Use 'User-agent: * Disallow: /' alongside 'X-Robots-Tag: noindex' headers, or restrict access via Cloudflare Access.
Can this tool analyze my current robots.txt?
Yes, you can paste your current robots.txt into the Analyzer tab for high-accuracy practical analysis of rule conflicts and crawler behavior.
Is this legal advice?
No. This tool generates technical configurations (robots.txt, llms.txt) and templates. It is not legal advice.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.

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