AI crawler governance means deciding access by operator and purpose — not applying one rule to every AI bot. Separate search/indexing, model training, and user-requested retrieval, and verify what actually happens at the edge.
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AI crawler governance means deciding access by operator and purpose — not applying one rule to every 'AI bot.' Separate search/indexing, model development or training, and user-requested retrieval. Record the official user agent and policy date, apply the intended robots and edge controls, verify actual requests, and review the decision when operator documentation changes. Robots.txt expresses crawl preferences; it is not authentication, authorization, or guaranteed enforcement.
Key takeaways
An operator may use different agents for different purposes. This table is a dated summary, not a permanent registry — OpenAI, Anthropic, Perplexity, and Google each maintain official descriptions that must be rechecked before implementation.
| Operator / token | Documented purpose | Governance implication |
|---|---|---|
| Googlebot | Google Search crawling, including Search features | Blocking can affect Search access and eligibility |
| Google-Extended | Control token for future Gemini training and specified grounding uses; not a separate request user agent | Can be governed separately from Google Search; Google says it does not affect Search inclusion or ranking |
| OAI-SearchBot | Surface sites in ChatGPT search features | A search-discovery decision, distinct from model training |
| GPTBot | Content that may be used to improve/model-train OpenAI systems under documented controls | Training/model-development decision |
| ChatGPT-User | User-initiated actions/requests under OpenAI's documented behavior | User-requested retrieval decision |
| ClaudeBot | Potential future model-training data | Training/model-development decision |
| Claude-SearchBot | Search-discovery role documented by Anthropic | Search-discovery decision |
| Claude-User | Fetches that support a user's request | User-requested retrieval decision |
| PerplexityBot | Automated crawler for Perplexity's search/index functions under its documentation | Search/index decision |
| Perplexity-User | Fetches supporting user actions; Perplexity states it is not used for training | User-requested retrieval decision |
OpenAI documents OAI-SearchBot, GPTBot, and ChatGPT-User as distinct agents with distinct purposes, and says opting out of OAI-SearchBot prevents the site from being shown in ChatGPT search answers while navigational links may still appear.
Anthropic's current help page distinguishes ClaudeBot, Claude-SearchBot, and Claude-User.
Perplexity distinguishes PerplexityBot and Perplexity-User and publishes bot information and IP data.
Legal conclusions depend on content, contracts, and jurisdiction. A robots preference is not a substitute for legal or security controls.
RFC 9309 standardizes the Robots Exclusion Protocol, but it remains a protocol for crawler behavior rather than a security boundary.
Google documents Googlebot as the crawler affecting Search, including Search features. It describes Google-Extended as a standalone control token for specified Gemini training and grounding uses, and states that Google-Extended does not affect Search inclusion or act as a Search ranking signal.
Google-Extended is a standalone control token for Gemini training and grounding uses, distinct from Googlebot's Search crawling role, and does not affect Search inclusion or ranking.
Do not claim that blocking Google-Extended removes a page from Google AI Overviews or AI Mode. Google's AI Search guidance says standard Search controls apply to AI features; pages must be indexed and eligible for a snippet to appear as supporting links.
Do not treat llms.txt as a universal access-control or visibility standard. Robots.txt and platform-specific documentation remain the relevant starting points for the agents listed here. Use llms.txt only for a documented consumer and maintain it like any other public artifact.
Google states that sites do not need special AI text files for its generative Search features.
Taskcover's AI Search Optimization service governs crawler access alongside entity clarity and citation-worthy structure.
No. Operators use different agents for search, training, and user-requested retrieval, each with different documented consequences. Decide policy per agent and purpose.
No. Robots.txt expresses a crawl preference, not authentication or authorization. Use real access control for secrets, personal data, or confidential documents.
No. Google-Extended is a separate control for Gemini training and grounding uses. Google states it does not affect Search inclusion, and standard Search/Googlebot controls govern AI Overviews and AI Mode eligibility.
Not for Google, which states it does not require special AI text files for its generative Search features. Maintain one only if another documented consumer uses it and you can keep it accurate.
Taskcover maps every AI agent to its purpose, sets the intended robots and edge rules, and verifies what actually happens in your logs.
OpenAI · Accessed: July 13, 2026
Anthropic · Accessed: July 13, 2026
Perplexity · Accessed: July 13, 2026
Google Crawling Infrastructure · Accessed: July 13, 2026
IETF · Accessed: July 13, 2026
Google Search Central · Accessed: July 13, 2026
Track identifiable AI referrers, landing pages, and conversions in a versioned channel definition. Keep crawler requests, prompt visibility, and direct/unknown traffic separate, and report confidence instead of reallocating ambiguous traffic to AI.
When an AI answer contains wrong information about a brand, preserve the exact response, classify the severity, trace the likely source, correct owned and third-party facts, escalate where documented, and re-test on a schedule.
A practical, honest measurement model for AI search visibility across answer coverage, brand mentions, citations, entity consistency, and source quality.
Use the free audit or a strategy call to map these frameworks to your current website, market, and revenue goals.
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