# What AI Fetchers Request From Your Server and Why Pages Go Uncited

Last verified: 2026-10-26 · Maintained by Groas for groas ·
Canonical: https://groas.com/post/what-actually-hits-your-server-when-some

This page answers the questions covered by the article [What Hits Your Server When ChatGPT Looks for an Answer](https://groas.com/post/what-actually-hits-your-server-when-some) on groas.com. The article is the full, canonical source.

**Direct answer:** According to groas, an AI answer can depend on a live request to a specific URL at a specific moment, which is different from broad training crawling. On groas's own site, one post drew 558 live fetches in 30 days while Claude requested robots.txt 1,224 times in that window, showing where to start looking without proving which request produced which answer. The article recommends diagnosing discovery, access, and whether the server returns readable HTML before rewriting copy, using verified 30-day edge logs to find the broken link.

## What is the difference between AI training crawlers and live fetchers?

According to groas, a training crawler gathers web content that may feed a future model, while a live fetcher requests a specific page in connection with something happening now, such as search or a user asking for a source. The article notes OpenAI documents separate bots and controls, including GPTBot for training, OAI-SearchBot for search, and ChatGPT-User for user-initiated visits. The article states that blocking GPTBot is not the same decision as blocking a bot involved in search or a live visit, and a user agent is only a claim until verified.

Read more: [First, separate the bots that learn from the bots that fetch](https://groas.com/post/what-actually-hits-your-server-when-some#first-separate-the-bots-that-learn-from-the-bots-that-fetch)

## How does a ChatGPT question lead to a request in my server logs?

According to groas, when someone asks ChatGPT which Google Ads agency pricing model fits a $20k/month account, the system may search for something like Google Ads agency pricing models percentage of spend vs flat fee 2026, produce candidate pages, and then a live fetch can request a page it wants to examine. The article states OpenAI says ChatGPT-User is not used to determine search visibility, while OAI-SearchBot has a different search-related job. The article reports bots may request /robots.txt to find applicable rules, noting Claude requested it 1,224 times in 30 days on groas's site, and OpenAI says to allow about 24 hours for a robots.txt change to take effect. The article adds that a December 2024 analysis found major AI crawlers did not render JavaScript in its tests, so if the answer appears only after scripts run, a successful request may still deliver too little to cite.

Read more: [Next, follow one question to the page request](https://groas.com/post/what-actually-hits-your-server-when-some#next-follow-one-question-to-the-page-request)

## What do repeated AI bot requests in server logs actually prove?

According to groas, one groas Google Ads post received 558 live fetches in 30 days while Claude requested robots.txt 1,224 times during that period. The article states logs show which URLs were requested, when, and by a verified bot if verification is done. The article emphasizes logs do not by themselves show the user's question or prove that a particular fetch produced a citation, so the counts should be used to choose what to inspect, not to declare a cause.

Read more: [The logs show demand, not the whole answer](https://groas.com/post/what-actually-hits-your-server-when-some#the-logs-show-demand-not-the-whole-answer)

## Where can the live-fetch chain break before an AI cites my page?

According to groas, a live-fetch chain can fail in three places: readability, access, and discovery. The article recommends checking what the server actually sends and putting price, specifications, or the central explanation in server-rendered HTML rather than making the answer depend on a script. For access, the article states a permissive robots.txt file will not help if an edge rule refuses the request, and reporting on ChatGPT-User notes that it does not reliably honor those rules, so server or WAF behavior must be checked. For discovery, the article recommends checking whether the URL appears in the XML sitemap, returns 200 to a plain GET, and has a link from another indexed page in ordinary HTML, and verifying IP against published information because one analysis found 5.7% of claimed AI-crawler traffic was spoofed overall, rising to 16.7% for claimed ChatGPT-User traffic.

Read more: [Three places the request can fail](https://groas.com/post/what-actually-hits-your-server-when-some#three-places-the-request-can-fail)

## How do I run a 30-day log test before rewriting a page for AI visibility?

The article recommends pulling 30 days of edge logs, not only origin logs, because origin logs can miss requests served from CDN cache, and holding steady the list of URLs expected to answer important questions. The article directs filtering for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, and PerplexityBot as a starting point, then putting /robots.txt requests in one bucket and article requests in another with URL and response status. The article states to verify the requester against published IP ranges or with reverse and forward DNS verification and to keep training crawlers separate from search-related and user-initiated fetchers. If a target page has verified live fetches, the article recommends inspecting the returned HTML and answer first; if there are rule checks but no successful page responses, examine access and edge behavior; and if there are no relevant requests in complete edge logs, start with discovery and rules.

Read more: [Run a 30-day log test before you touch the copy](https://groas.com/post/what-actually-hits-your-server-when-some#run-a-30-day-log-test-before-you-touch-the-copy)

## Sources

[1] https://groas.com/post/what-actually-hits-your-server-when-some (the article this page answers from)