About this tool
Build a robots.txt draft that separates AI training control from AI search discovery, keeps private paths closed, preserves sitemap references, and documents llms.txt discovery for crawlers that support it.
AI Crawler Policy Generator helps site owners make deliberate choices about AI training crawlers, AI search crawlers, assistant fetchers, and classic search crawlers. It is built for the current search landscape where blocking the wrong bot can protect training preferences but also reduce visibility in AI-powered discovery surfaces.
- Generates purpose-specific robots.txt groups for AI training bots, AI search bots, and optional user-initiated assistant fetchers.
- Adds sitemap and llms.txt discovery references so allowed crawlers can find high-value pages instead of thin or private paths.
- Flags broad blocking choices that may reduce AI search visibility or accidentally hide useful public pages.
How to use AI Crawler Policy
Choose a policy mode, enter the canonical site URL, list public paths that should remain discoverable, and list private paths that should never be crawled. Review the generated robots.txt draft, compare it against official crawler documentation, and test it before replacing the production robots.txt file.
When this tool is useful
- Before publishing a new robots.txt policy after an AI search or AdSense quality reset.
- When deciding whether to allow AI search crawlers while blocking model-training crawlers.
- After adding llms.txt, sitemap-index.xml, trust pages, or new high-value SEO tools.
Practical tips
- Do not block all AI crawlers unless you accept reduced visibility in assistant search experiences.
- Keep private paths protected by authentication; robots.txt is not access control.
- List sitemap and llms.txt references so allowed crawlers can find curated, high-value pages.
Examples you can test
These examples show the kind of real input and reviewed output this tool is designed to support. Use them as a starting point before pasting your own production content, then compare the output with the destination system that will use the result. The goal is not only to produce a value, but to make the input assumptions, output format, and review step clear enough that the result can be trusted in a real workflow.
Block model training while keeping AI search discovery
Example input
Mode: Block training, allow search Protected paths: /api/, /admin/, /private/ Discovery: /sitemap-index.xml and /llms.txt
Expected output
Training bots such as GPTBot, Google-Extended, and ClaudeBot are blocked, while AI search bot groups keep public pages and discovery files available.
This is often the most balanced policy for a site that wants search visibility without broadly allowing training crawlers.
Avoid accidental AI search opt-out
Example input
Mode: Block listed AI bots Public tools: /tools/ Goal: improve AI search visibility
Expected output
Warning: broad blocking conflicts with the stated visibility goal. Use the training-only blocking mode instead.
Crawler names are increasingly purpose-specific, so a single broad block can create unintended discovery loss.
Validation checklist
Run through these checks before copying the result into a CMS, codebase, spreadsheet, campaign, support ticket, or production document. Small formatting differences, unit assumptions, hidden whitespace, and platform-specific rules are common sources of mistakes in quick browser tools, so the final review should happen in the same context where the output will be used.
- Confirm every protected path is also protected server-side if the content is sensitive.
- Verify that sitemap and llms.txt URLs return 200 before publishing the policy.
- Check official crawler documentation for current user-agent tokens before deployment.
- Use Search Console and server logs after deployment to confirm important pages remain crawlable.
Why people use this tool
A low-value site often has unclear crawl policy, thin discovery files, or broad blocks that hide useful pages while exposing weak ones. Separating training, search, and user-initiated assistant access creates a more intentional technical SEO surface and pairs well with sitemap and llms.txt cleanup.
Related search intents
ai crawler policy generator, robots.txt ai crawler, gptbot robots.txt generator, google extended robots txt, oai searchbot robots txt.