How to see AI referrals in a GA4 export
A concrete method for isolating assistant referrals in a GA4 export, and an honest account of what the number you get can and cannot support.
Three platforms, three answers, one budget to defend. Your GA4 export already holds the answer, and the first finding is free and never leaves your browser. Get your first finding free
By Joris van Huët, Founder & CEOUpdated 2 min read
You can isolate the assistant referrals that kept a referrer, and you should treat the result as a floor rather than a count. Here is the method and its ceiling.
The segment
In a Google Analytics export, session source and landing page are the two fields that carry the signal. Build a source filter for the assistant hostnames you care about, then keep the landing page dimension alongside it.
The hostnames change as products launch and rename, so treat the list as something you maintain rather than something you set once.
Reading the output
| Column | What it supports | What it does not |
|---|---|---|
| Sessions from assistant hosts | A floor on assistant referrals | The total, which includes untagged sessions |
| Landing page depth | Evidence the visitor arrived mid funnel | Which answer sent them |
| Conversion rate of that segment | A comparison against other sources | A causal claim about the channel |
The second read, which matters more
Take direct sessions and split them by landing page depth. Homepage direct is mostly returning buyers and typed URLs. Deep direct, landing on a specific product or answer page, behaves differently.
If deep direct rises while your campaigns and rankings hold steady, something is sending people to interior pages without an identifier. That is a real signal, and it is invisible if you only look at the tagged referral row.
The step you should not skip
Write down what you expected before you look. A segment built after the fact will always find something, and the discipline of a prediction is what separates a finding from a story.
Where this stops being enough
Both reads above are observational. They describe what happened, and they cannot tell you what would have happened otherwise. Moving a budget on them means acting on a correlation.
Channels arriving without identifiers usually come back labelled rather than scored, and that is the honest answer.
Related answers
Frequently asked questions
How do I filter GA4 for AI assistant referrals?
Filter session source by the assistant hostnames and keep landing page alongside it. Maintain the hostname list as new assistants appear, and read the result as a floor, since untagged sessions are missing from it.What is deep direct traffic and why does it matter?
Direct sessions that land on an interior page rather than the homepage. Homepage direct is mostly typed URLs and returning buyers; deep direct landing on specific answer or product pages suggests an untagged referral sent them there.Can I move budget based on an assistant referral segment?
Not safely. The segment is observational: it describes what happened, not what would have happened without the channel. Budget decisions need a causal estimate, not a session count.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
Have an audience of ecommerce operators? Earn 20% recurring commission by recommending the €99 read.
Keep reading
Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- ConversionConversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
- Conversion rateConversion Rate is the percentage of website visitors who complete a desired action out of the total number of visitors.
- CorrelationCorrelation is a statistical measure showing a relationship between variables; it does not imply causation.
- Google AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.
- IncrementalityIncrementality is the part of an outcome, such as orders or revenue, that a marketing activity caused: the extra results compared with what would have happened without it. It is a causal effect, not the number of conversions credited to a channel.
- Landing PageLanding Page: A single web page that appears after clicking a search result, marketing promotion, email, or online advertisement.