Examples

Practical AI crawler policies for common teams.

These examples are starting points. BotConsent helps you publish clear preferences, but your team should review policy language before it goes live.

Publisher: allow search, block training

Use when search visibility matters, but archives, analysis, or reporting should not be used for AI model training without a license.

Allow searchAllow retrievalBlock trainingRequire paid access
User-agent: GPTBot
Disallow: /

User-agent: Google-Extended
Disallow: /

Policy: https://publisher.com/botconsent
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SaaS team: protect docs and product copy

Use when product documentation can be indexed for discovery, but commercial scraping and model training should be reviewed first.

Docs visibleBlock scrapingAttribution requested
Search indexing: Allowed
AI assistant retrieval: Allowed
AI model training: Not allowed
Commercial scraping: Not allowed
Attribution requested: Yes
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Agency: client template

Use when client sites need a repeatable policy review process and white-label reports.

Templates25 domainsReports
Client setup:
- Baseline audit
- Policy approval
- Hosted policy page
- Monthly monitoring
- Report export
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Website owner: prepare for licensing

Use when you want a clear paid-access path before bulk content use becomes a sales conversation.

Licensing inquiryCanonical URLAudit first
Commercial use, dataset creation, or paid crawler access should begin with a licensing inquiry before content is collected.
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What these examples are not

They are not legal guarantees, enforcement tools, or evidence that every crawler will comply. They are clear, reviewable policy starting points that reduce ambiguity for good-faith crawlers, partners, and internal teams.