THE SHORT ANSWER
Access for AI search and access for model training are not always governed by the same setting. Make a purpose-specific decision rather than automatically allowing or blocking every bot. Implementation must then agree with hosting, CDN and access controls. Permission creates an opportunity for access; it does not guarantee a mention, citation or search appearance.
For the broader picture of technical foundations, useful content and visibility measurement, read the pillar guide SEO, GEO and AEO for SaaS: visibility that supports buying decisions.
Decide purposes before agent names
Record which public content should be accessible for which uses. Distinguish search discovery, possible training use and user-triggered retrieval. Confidential areas still need real access control; robots.txt does not replace authentication. Identify an owner for the business decision and another for implementation. This helps prevent a generic firewall bot rule from accidentally excluding a commercially relevant search function. Record unresolved questions as well. Providers change products and documentation, so a list of agent names created once is not a sufficient long-term access strategy. The purpose of each rule should remain understandable when the technical configuration changes. Explore this further in the guide Treating robots.txt as a testable access policy.
Distinguish documented OpenAI access
OpenAI documents OAI-SearchBot for search and GPTBot for content that may support model improvement or training. Those settings can be controlled independently. ChatGPT-User instead handles certain user-triggered actions and is not an automatic search crawler. Consult current official bot documentation and published IP ranges before implementation. Do not deploy an old example file without checking it. Permitting search access does not automatically mean permitting training access. Likewise, observing a user-initiated fetch does not establish whether the content will appear in a search response. Keep the documented product purpose beside each relevant implementation decision.
Separate Google Search from other uses
Google explains that Googlebot governs crawling for Search, including its AI features. Google-Extended is a separate control token for certain other AI uses; the documentation states that it does not determine inclusion or ranking in Google Search. Do not mistake that token for a separately observable HTTP user agent. Google also documents preview and indexing controls for limiting presentation in Search. Inspect their particular effects before using them. A general training preference therefore does not automatically answer questions about search discoverability or the visible length of an excerpt within a search product. Treat each control according to its documented scope.
Compare rules with actual access
Inspect the delivered robots.txt at the production domain and investigate additional CDN or hosting bot rules. Login walls, JavaScript challenges and automatic blocking can defeat an apparent permission. Check important HTML pages separately from required resources. Verify genuine crawlers using provider-documented procedures rather than blindly trusting a freely chosen user-agent string. Retain the previous configuration for correction if needed. Test changes against representative URLs with traceable results. A successful fetch from the office network does not demonstrate that the same path is available to the intended crawler or that the requested page body is actually delivered. Explore this further in the guide Verifying crawler access through CDNs and firewalls.
Example: permit search, restrict training
A hypothetical consultancy wants public guides discoverable in an AI search product while restricting one provider’s training access. The team checks that provider’s separate controls and implements the choice by purpose. It then verifies whether a generic firewall rule still blocks every automated request. Customer documents remain authenticated regardless of the public crawler policy. This illustrates one possible decision rather than a universal recommendation. It also does not promise that search permission generates a citation. The rules are assessed against official documentation and verifiable technical observations rather than one favourable answer produced in a chat session.
Review changes and limitations
Keep the documentation source, decision date and affected rules together. After hosting moves or security updates, verify that the intended permission still holds. Refresh published IP lists through a controlled process where they are used. Separate access policy from content quality and search selection: an allowed request is only one technical step. The provider decides which pages to index, present or cite. If access remains restricted for business reasons, describe that limitation honestly in internal reporting. The objective is a justified policy suited to the intended use rather than the broadest possible permission without a clear purpose.
INTERACTIVE / FROM READING TO ACTION
Three checkpoints for your implementation
Choose a checkpoint and track your reading progress. Checks are neither saved nor sent and do not score your business.
CHECKPOINT 01
Separate Google Search from other uses
Google explains that Googlebot governs crawling for Search, including its AI features.
Explore in the article ↗CHECKPOINT 02
Compare rules with actual access
Inspect the delivered robots.txt at the production domain and investigate additional CDN or hosting bot rules.
Explore in the article ↗CHECKPOINT 03
Example: permit search, restrict training
A hypothetical consultancy wants public guides discoverable in an AI search product while restricting one provider’s training access.
Explore in the article ↗Frequently asked questions
Are search and training crawlers identical?
Not generally. Check each provider’s documented purposes and controls.
Does robots.txt secure confidential data?
No. Confidential material requires appropriate access controls. Verify authentication and permissions separately from the rules used for search crawlers and training crawlers.
Does permission guarantee AI visibility?
No. It enables access without determining indexing or citation.
How can I put “Decide purposes before agent names” into practice?
Record which public content should be accessible for which uses. Distinguish search discovery, possible training use and user-triggered retrieval. Confidential areas still need real access control; robots.txt does not replace authentication.
What matters when working on “Distinguish documented OpenAI access”?
OpenAI documents OAI-SearchBot for search and GPTBot for content that may support model improvement or training. Those settings can be controlled independently. ChatGPT-User instead handles certain user-triggered actions and is not an automatic search crawler.
