Mastering UTM Tags for AI-Driven Traffic Analysis in GA4

Published On Mon Jun 23 2025
Mastering UTM Tags for AI-Driven Traffic Analysis in GA4

How to Analyze Website Traffic From ChatGPT, Gemini & More in GA4

Use UTM tags to track AI chatbot-driven visits in GA4. Segment AI traffic for deeper insights into user behavior and conversions. AI bots often show as "Direct" traffic—proper tagging avoids misclassification. AI-powered chat apps like ChatGPT, Gemini, and Claude can drive traffic to websites through generated links. However, tracking this traffic in Google Analytics (GA4) can be challenging, as it may appear as unclear or mislabeled as ‘Direct’ traffic. Let's explore how to effectively track and analyze traffic from these AI-driven sources in GA4.

Tracking AI Traffic

AI tools typically do not send referral headers, which makes them invisible in traditional analytics setups. As a result:

  • Most traffic appears under “Direct” (no referral info).
  • Source and medium statistics for a session may be missing or wrong.
  • Users miss the chance to learn how AI affects real user trips across the web.

Clear UTM settings should be added to any link to your site, whether it's in an AI bot, an email, a comment, or an embed. This can be used for:

  • Demo replies
  • Tools that are shared
  • ChatGPT Add-ons
  • Citations for Gemini articles

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Setting Up UTM Parameters in GA4

In Admin > Custom Definitions, create dimensions like:

  • utm_source
  • utm_medium
  • utm_campaign

So, AI data can now be filtered in reports.

Analyzing AI Traffic in GA4

Open GA4 and go to Explore > Blank Report. Set a filter: Session source = chat gpt or gemini.google.com. Displayed metrics include:

  • Time on site
  • Conversions
  • Pages viewed
  • Bounce rate for AI-specific traffic

Use AI referral UTM values to build audiences such as ChatGPT Visitors, Gemini AI Users, and AI Traffic – All Sources. These can be retargeted in Google Ads or used to compare behavior with organic traffic.

Identifying AI Traffic Patterns

Link naming is not possible with all AI systems. For unidentified traffic, look for patterns such as:

  • A lot of people going straight to long URLs
  • Referrals that spike after mentions in forums, Reddit, or AI platforms

Ensure date and time stamps match known AI link shares. Use server logs with tools like Loggly or Matomo to help GA find traffic trends it might miss. Look for:

  • Referrer fields
  • IP ranges (some AI bots use known IPs)
  • Browser labels that deviate from typical user behavior

Conclusion

As AI tools become more prevalent, tracking their impact on business performance is crucial. Gain insights into how platforms like ChatGPT or Gemini influence content strategy by utilizing UTM parameters, creating custom GA4 reports, and analyzing session trends. Enhance analytics today to make data-driven decisions.

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