How to identify AI traffic?

Why monitor AI-generated traffic?
The rapid emergence of artificial intelligence-powered assistants—such as ChatGPT, Copilot, and Perplexity—is transforming the way people interact with web content.
These tools generate more and more traffic to web content and it is important to be able to track and analyze its performance.

Magnifying Glass Tilted Right How is this traffic detected?

The Eulerian solution automatically categorizes the traffic generated by these AI assistants as “Referral” traffic , thanks to their originating domain name .
Here are some of the most common examples:
  • chatgpt.com
  • www.perplexity.ai
  • copilot.microsoft.com
This allows you to easily identify these sources in your reports.


Light Bulb Group these sources into an “AI Traffic” set

To facilitate the reading and exploitation of this data, Eulerian allows the creation of personalized referent groups .
This way you can group all the domains associated with AI agents into a single set called, for example, AI Traffic .
Once this group is formed, you will have the opportunity to:
  • Visualize the evolution of AI traffic over time.
  • Segment this set to analyze the contribution of each AI source (ChatGPT vs Copilot, etc.).


Wrench Implementation in Eulerian: steps to follow

Here's how to create and operate this custom group:
    Access the module for creating referent groups: Parameters > Attribution > Channel Management > List of referer groups
    Click on “Add a grouping”:
    Name: This is the name of the referent group
    URI: This is the domain name as it appears in your report
    Association type: this is the pattern that will need to be matched
    Validate and save the group.
    Repeat the operation for each domain you wish to add to the group , taking care to use the same "Name".
    Here is a list of the most popular AI fields:
  • chatgpt.com
  • www.perplexity.ai
  • copilot.microsoft.com
  • [add other domains if needed]