Scope
Robots.txt examples for AI crawlers explains a focused part of AI crawler control instead of trying to replace security, legal review, or platform documentation.
Examples
Robots.txt examples for AI crawlers
Examples are useful only when the trade-off is visible. The snippets below are starting points for discussion, not universal recommendations.
Balanced public site
User-agent: GPTBot Disallow: / User-agent: OAI-SearchBot Allow: / User-agent: ChatGPT-User Allow: / User-agent: * Disallow: /admin/ Disallow: /account/ Sitemap: https://example.com/sitemap.xml
This pattern protects against a training crawler while keeping AI search and user-triggered public retrieval open. It is a common starting point for documentation, product pages, and public help centers.
Publisher with licensed archives
User-agent: GPTBot Disallow: /archive/ Disallow: /premium/ User-agent: CCBot Disallow: / User-agent: Googlebot Allow: / User-agent: * Disallow: /account/ Disallow: /subscribe/
A publisher may want normal search visibility but tighter control over training or broad crawl datasets. The important part is documenting why each archive path is treated differently from current public articles.
Storefront with private account paths
User-agent: * Disallow: /cart/ Disallow: /checkout/ Disallow: /account/ Disallow: /order-status/ Allow: /products/ Allow: /collections/
Robots.txt is not enough for private commerce pages. Checkout and account paths must also require authentication and server-side access control. The robots file simply reduces accidental crawling of obvious private paths.
Review checklist
- Confirm the sitemap URL returns 200.
- Check at least one public URL and one protected URL.
- Do not block Googlebot unless you truly want search visibility reduced.
- Keep a dated decision note for each crawler class.
AI crawler access control
Practical notes for Robots.txt examples for AI crawlers
Robots.txt Examples for AI Crawlers is maintained for website owners, publishers, SaaS documentation teams, ecommerce operators, and SEO teams who need crawler policy operations. The goal is to help visitors complete a real task and leave with a robots.txt draft, llms.txt draft, crawler audit note, or crawler policy decision record, not only read a generic summary.
Practical use
The page should help a visitor produce or validate a concrete policy artifact: robots.txt, llms.txt, a decision note, a test checklist, or an internal review summary.
Verification
The final result should be checked against live URLs, current crawler documentation, and the business reason for allowing or blocking each crawler class.
Before relying on this page
- Confirm the page answers one real operational question.
- Use the linked tool or guide to produce a saved artifact.
- Review results before publishing them to a production site.
Field workflow
How to turn Robots.txt examples for AI crawlers into a maintainable crawler decision
A crawler policy is valuable only when someone can explain it later. Use the notes below to turn this page into a saved decision record instead of a one-time copied snippet.
1. Write the policy intent first
Before touching robots.txt, write one plain-language sentence: "We want normal search visibility, we want AI answer visibility for public pages, and we do not want training crawlers to collect licensed archives." If the intent is not clear, the file often becomes a long block list that nobody maintains. A short intent statement also helps you decide whether a future crawler belongs with training, search, user-triggered retrieval, or normal indexing.
2. Test representative URLs
Do not test only the homepage. Choose one article or documentation page, one product or pricing page, one sitemap URL, one login or account path, and one intentionally private path. The file should express different outcomes where the business logic is different. This matters because broad rules can accidentally block useful search pages while still failing to protect sensitive paths that need authentication.
3. Keep a change note
Save the date, the old rule, the new rule, and the reason for the change. If traffic drops, citations disappear, or a crawler starts hitting expensive paths, that note makes debugging much faster. A good note names the crawler role, the URL group affected, and the review owner who can change the policy later.
Operational checklist for this page
- Confirm whether Robots.txt examples for AI crawlers is being used to create a new file, review an existing file, or document a content strategy decision.
- Compare the result with live crawler documentation, because user-agent names, crawler roles, and AI search behavior change over time.
- Keep Googlebot and other ordinary search crawlers separate from AI-specific crawler groups unless the site intentionally wants lower search visibility.
- Use authentication, server access rules, or a WAF for private content. Robots.txt is a public preference file, not a security boundary.
- After publishing, open the live URL and the canonical domain variant. CDN, redirect, and www/non-www differences are common sources of policy mistakes.
This extra review layer is intentionally practical. It helps BotAccess Lab pages answer a real operational question, produce a durable artifact, and avoid the kind of thin, generic explanation that fails when a user has to make a production change.