200
The requested resource was returned successfully.
What Happens When an AI Crawler Visits Your Website?
An automated crawler does not simply “look at a website.” A chain of network, access, HTTP, redirect, document, identity, and discovery events determines what the requester can actually retrieve.
The request path
A website can look normal in a browser while presenting a very different path to an automated client. The crawler must first discover a URL, resolve the hostname, apply its access policy, establish a connection, follow redirects, receive a usable response, and interpret what the server returned.
1. The crawler discovers a URL
Discovery can come from links, XML sitemaps, feeds, previously known URLs, external references, or machine-readable discovery surfaces. A URL that is never linked, published, submitted, or otherwise discovered may simply remain unknown to that crawler.
2. DNS tells the crawler where the domain is served
The hostname must resolve before the requester can reach the web server. DNS failures, unexpected destinations, unusable addresses, or other network problems can stop retrieval before an HTTP request ever reaches the site.
3. The crawler may consult robots.txt
Many compliant crawlers consult /robots.txt before requesting ordinary site content. Different operators use different user-agent identities and policies, so permission for one crawler does not automatically describe the behavior of every other crawler.
Robots.txt is a crawl-access convention. It is not a privacy mechanism, identity proof, universal indexing control, or complete content-use license.
4. The server returns an HTTP response
301 / 308
The requester is being permanently redirected.
302 / 307
The requester is being temporarily redirected.
403 / 429
Access was refused or the requester was rate limited.
404
The requested resource was not found.
5xx
The server encountered a failure.
Occasional failures happen. Persistent errors, blocks, or unstable responses can make a public resource difficult for automated systems to retrieve reliably.
5. Redirects determine where the crawler actually lands
The requested URL is not always the URL that delivers the document. HTTP-to-HTTPS redirects, www/non-www normalization, moved pages, renamed URLs, and domain migrations can all change the final destination. Clean redirect paths are easier to interpret than long chains, loops, or contradictory destinations.
6. The crawler receives the actual document
A successful response can expose visible text, titles and headings, links, canonical declarations, meta directives, structured data, dates, authorship, publisher identity, and machine-readable references.
The server response is important because an automated requester may not execute JavaScript or reconstruct the same presentation a human browser displays.
7. The crawler encounters identity and scope signals
The hostname, requested URL, final URL, canonical URL, structured data, page title, organization identity, linked profiles, redirects, and other machine-readable evidence can contribute to understanding which source and scope the document represents.
8. The crawler may discover machine-readable resources
HTML is only one public surface. A system may also encounter JSON documents, APIs, feeds, sitemaps, provenance records, licensing metadata, discovery files, and formal interface contracts. These surfaces can reduce the need to reconstruct structured facts from presentation HTML alone.
9. The request may appear in server logs
Depending on server configuration, an access log can record the timestamp, requesting IP address, requested URL, HTTP method, response status, response size, referrer, and declared user-agent.
Many crawlers do not execute browser analytics JavaScript, so server-side request evidence can exist even when ordinary analytics shows no human-style session.
10. The crawler may return later
Automated systems revisit resources according to their own schedules, priorities, crawl budgets, freshness needs, and internal policies. Repeated independent observations can build history that a single fetch cannot provide.
What a crawler visit does not prove
Seeing a declared crawler such as Applebot, GPTBot, ClaudeBot, Amazonbot, Googlebot, Bingbot, or another automated client in a log can establish that a request bearing that identity reached the observed surface. By itself it does not prove that:
Training occurred
A fetch does not establish that the content entered a model-development dataset.
Indexing occurred
A request does not prove the resource was retained in an index.
Citation occurred
A request does not prove the source appeared in a generated answer.
Recommendation occurred
A crawler visit does not establish endorsement, ranking, recommendation, or authority.
User-Agent identity has limits
A User-Agent string is a claim and can be copied. Stronger attribution may require network, reverse-DNS, published-address, cryptographic, or other identity evidence appropriate to the system being evaluated.
How GoGuides observes this process
GoGuides independently observes supported public web resources and can preserve requested and final URLs, HTTP state, redirects, canonical identity, selected content and structured-data fingerprints, links, AI-policy indicators, chronology, and other supported web-state evidence.
GoGuides also records qualifying automated requests made to supported GoGuides surfaces. Those requests are evidence of activity at GoGuides; they do not by themselves prove the same outside system directly visited, indexed, cited, trained on, or relied on the domain's website.
The goal is to publish what GoGuides actually observed and keep that evidence separate from interpretations about what another company ultimately did with a request.