What 1.6 billion ecommerce sessions reveal about LLM traffic, attribution blind spots, and the GEO strategy shift.
Watch on-demandÂ
Why you should watch the webinar
Traffic from ChatGPT to ecommerce sites grew 800% in 14 months. Most teams aren’t measuring it. Those who are, found it converts 34% better than organic.Â
Watch Milan Knapp (Roivenue), Phil Spencer (ScanmarQED), and Vojtech Oravec (Ranketta) for an on-demand discussion built on real data to answer the two questions that actually matter right now:Â
How do you measure AI-driven traffic correctly? And how do you make sure AI recommends you?Â
You'll leave with
- The actual scale of LLM traffic in ecommerce today — and what the growth curve looks like through end of 2026Â
- Why Last Touch Attribution systematically undervalues AI-driven revenue by up to 300% — and what to do insteadÂ
- How AI search selects sources (it’s not by ranking position — and that changes your content strategy entirely)Â
- Where your brand currently stands in AI-generated answers, and what drives visibility in that spaceÂ
- Three actions you can take immediately to start measuring and capturing AI traffic before your competitors doÂ
Speakers
General Manager, UK
Executive Director
Founder
Who should attend
CMOs, Heads of Marketing, and senior marketing managers in ecommerce, retail, and agencies who manage performance at scale. Â
The data that makes it worth an hour
Four numbers your team should be talking about:Â
800% — Growth in ChatGPT-referred traffic to ecommerce sites between January 2025 and February 2026Â
34% better — Average conversion rate of LLM traffic vs. organic traffic across 350+ ecommerce sitesÂ
2.8× more orders from 35× fewer visits — Real case data: AI traffic vs. blog traffic, same brand, same periodÂ
<1% of revenue today — Which means competition for LLM visibility is still low. That window won’t stay open.Â
FAQ
Probably more relevant. LLM traffic is already in your data — it's being misclassified or absorbed into other channels. This session will show you where to look and what you're likely undervaluing.
It's better than Last Touch, but GA4's default channel groupings often misclassify LLM referrals. We'll cover exactly what to look for and how to correct it.
The data covers all major LLM sources. We'll also address how different AI models source and cite content differently — which has direct implications for your GEO strategy.
