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How to Detect Crawl Anomalies with GPTBot and Bingbot

How to Detect Crawl Anomalies with GPTBot and Bingbot

Author

Date Published

October 24, 2025

Table of contents

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To detect crawl anomalies with GPTBot and Bingbot, monitor server logs, set up proper bot filtering, compare crawl rates, and analyze traffic spikes. Tools like Google Search Console, Bing Webmaster Tools, and log analyzers can help identify unexpected activity, frequency changes, or crawl errors efficiently.

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Key Takaways

Crawl anomalies can impact your website’s crawl budget, indexation, and SEO performance.
GPTBot and Bingbot are AI crawlers that may behave differently from traditional bots, requiring tailored monitoring.
Server log file analysis is essential to identify unusual crawl frequencies or error spikes.
Comparing historical crawl patterns helps spot anomalies early before they affect search visibility.
Rate-limiting or blocking unauthorized versions of GPTBot/Bingbot helps manage crawl traffic.
Use user-agent verification, reverse DNS lookups, and crawl stats from verified platforms for accuracy.

Frequently Asked Questions

What is a crawl anomaly?

Check your server logs for their user-agents, use reverse DNS lookups to confirm their IPs, or verify access stats through tools like Bing Webmaster Tools.

How can I tell if GPTBot or Bingbot is crawling my site?

Check your server logs for their user-agents, use reverse DNS lookups to confirm their IPs, or verify access stats through tools like Bing Webmaster Tools.

Can I block GPTBot or Bingbot?

Yes. You can disallow them in your robots.txt. Example: Disallow: / for GPTBot using 'User-agent: GPTBot'. However, be cautious as blocking Bingbot affects search indexing.

Why is GPTBot crawling my content?

GPTBot crawls content to improve large language models like ChatGPT. You can allow or restrict this via robots.txt based on your preference.

Are crawl anomalies harmful to SEO?

Yes, if not addressed. Anomalies can waste crawl budget, cause indexing delays, or result in lower search visibility due to increased errors.

Step by Step Plan

01

Understand GPTBot and Bingbot Behavior

GPTBot (developed by OpenAI) and Bingbot (by Microsoft) crawl to improve AI and search engine capabilities. Know their user agents, crawl patterns, and legitimate IP ranges.

02

Set Up Server Log Monitoring

Use tools like Screaming Frog Log File Analyser or ELK Stack to record and analyze raw log data. Look for spikes in 4xx/5xx errors, frequency surges, or crawl gaps.

03

Validate Bot Authenticity

Use reverse DNS lookup to confirm the identity of crawlers. Only GPTBot and Bingbot from official domains (e.g., *.openai.com or *.search.msn.com) should be allowed.

04

Validate Bot Authenticity

Analyze crawl frequency and behavior over days/weeks to detect sudden changes. Use Bing Webmaster Tools and custom scripts to visualize this data.

05

Optimize or Block Crawl Access If Needed

Use robots.txt to restrict or allow crawlers. If GPTBot or Bingbot overloads your site, throttle crawl rate via server headers or contact the bot team.

Comparison Table

GPTBot
Bingbot
Owned by OpenAI
Owned by Microsoft
Crawls for AI model training (e.g., ChatGPT)
Crawls for Bing web search index
User-agent: GPTBot
User-agent: Bingbot
More likely to trigger if content is AI-consumable
Follows traditional search bot crawl behavior
Can be blocked domain-wide via robots.txt
Crawl rate adjustable via Bing Webmaster Tools

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Sources

OpenAI GPTBot Documentation
Microsoft Bingbot Overview
Screaming Frog Log File Analyser

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