
AI referrals don’t show up as a single clean channel in analytics.
They appear fragmented.
• ChatGPT.
• Perplexity.
• Gemini.
• Bing AI.
Depending on how the traffic is routed, they may show up as:
• Referral traffic
• Direct traffic
• Organic
• Or unclassified sources
The key is knowing where to look.
In GA4, navigate to:
Reports → Acquisition → Traffic Acquisition
Filter by: Session Source / Medium
Look for sources such as:
• chat.openai.com
• perplexity.ai
• bard.google.com
• bing.com (AI-powered sessions)
Create a custom report that isolates these domains.
This becomes your early AI referral view.
In GA4:
Create a Custom Channel Group.
Define rules that include:
Session source contains:
• chat.openai
• perplexity
• bard
• copilot
• gemini
Group them under: AI Referrals
This prevents them from being buried inside “Referral” traffic.
AI-driven discovery may not convert immediately.
Track:
• Assisted conversions
• Time to conversion
• First touch vs last touch attribution
AI often acts as an educational entry point.
Measure its influence — not just last-click revenue.
In Shopify: Go to Analytics → Reports → Sessions by Referrer
Search for:
• chat.openai
• perplexity
• bing
• google (AI-related referrers)
Cross-reference with GA4.
Look for emerging patterns.
AI referral tracking shouldn’t live in a one-off report.
Build a standardized dashboard that includes:
• AI session volume
• Revenue from AI traffic
• Conversion rate
• Assisted revenue
Structure without measurement is speculation.
AI referral traffic will start small.
It may appear inconsistent.
But early signals matter.
As AI interfaces become more integrated into search and browsing behavior, referral patterns will compound.
The brands tracking this early will understand the shift sooner.
Visibility isn’t just about being recommended.
It’s about knowing when it happens.
— Brett Sirianni
Marlin Media

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