Google Analytics added an “AI Assistant” default channel group for traffic from recognized AI chatbot referrers, with Google naming ChatGPT, Gemini and Claude as examples.
GA4 owners no longer need to create custom channel groups with regular expression patterns to separate AI assistant visits from referrals. Until now, all AI chatbot traffic landed in the referral bucket by default.
What’s new
The update simultaneously affects three dimensions of traffic sources.
When Google Analytics detects a referrer matching a recognized AI assistant, it assigns “ai-assistant” as the average value. These sessions are then grouped under the “AI Assistant” channel in the default channel group reports. The campaign dimension receives a reserved label “(ai-assistant)”.
All three changes occur automatically. Owners don’t have to configure anything.
Google describes the update as a way to “monitor the impact of generative AI on your business by tracking user clicks, AI source trends, and how that traffic compares to traditional channels like organic search.”
Google has not published the complete list of recognized AI assistant referrals. The help center entry names ChatGPT, Gemini, and Claude as examples.
Context
Google has been working on this for almost a year. In August, the Analytics team published guidelines about creating custom channel groups with regular expression patterns to capture AI assistant traffic. This guide named ChatGPT, Gemini, Microsoft Copilot, Claude and Perplexity as platforms to follow. That’s when Google’s own documentation began treating AI assistant traffic as a category worth measuring separately.
The custom channel group workaround had limitations. Regex models required manual maintenance as AI platforms changed domains. Owners needed editor-level access to configure them. And the limit of two custom channel groups in GA4 meant devoting one of only two available slots to AI tracking.
This follows a pattern set by Google in 2022 when it added “cross-network” as default channel group to capture Performance Max and Smart Shopping traffic. This update also moved traffic from a generic bucket to its own dedicated channel without requiring manual configuration.
AI traffic attribution is a recurring measurement challenge. Last year, Google fixed a bug This caused AI mode search traffic to be reported as “direct” instead of “organic” in GA4 after some noreferrer code removed the referrer headers. Google too adding AI mode data to Search Console performance reporting, although this traffic is rolled into existing totals rather than appearing as a separate category.
Why it matters
Anyone running a custom channel group to track AI Assistant traffic may be able to simplify this setup because the native channel appears in the reports. The native channel can reduce the need for regular expression patterns and manual channel ordering recommended by Google last year.
Properties without custom AI tracking will automatically start seeing this traffic separated from referrals. Sessions that previously appeared as generic referral traffic from chatgpt.com or claude.ai will have their own channel.
One gap to watch out for is the limitation of referrers. AI assistant traffic that arrives without a referrer header always lands in Direct. This can happen through in-app browsers and mobile apps, or when users copy and paste links. The new channel only captures what GA4 can identify via the referent.
Looking to the future
Google has not published which AI assistants are on the list of recognized references beyond the three examples cited. He also did not specify how the list will be updated as new platforms launch. The August 2025 Custom Channel Group guidelines named five platforms, but the new automatic system does not specify its full coverage.
The default channel group definitions page has not yet been updated to include “AI Assistant” in its channel table, so the full technical definition is not available for review. THE custom channel group The regular expression patterns released by Google last year may still cover platforms that are not on the recognized benchmark list.
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