Your Practical Roadmap
AI in E-Commerce in 2026
AI touches every stage of the shopping journey — and most of it happens without your involvement. The practical question isn't whether this matters: it's what you can control. Get the ecommerce leader's action plan.
A role-specific summary for ecommerce and retail leaders — distilled from the full 35-page report.
Trusted by leading ecommerce brands
37%
of U.S. AI users start product searches with AI, not a search engine — and arrive with purchase intent already formed
11.4%
ChatGPT referrals convert at the highest rate of any channel — ahead of paid search (9.3%) and organic (5.3%)
$262B
in retail revenue driven by AI-personalized recommendations in Nov–Dec 2025: ~20% of all retail sales
30%
of U.S. consumers would trust AI agents to make purchases on their behalf; 23% already have in the past month
Your product data, your owned AI experience, and your service quality. These three levers determine whether AI works for you or against you. The roadmap is inside.
What's Inside
Summary Overview
A concise, practical summary for ecommerce leaders — AI discovery data, product data risks, and 5 actionable steps distilled from the full report.
- 1The Shift in 30 Seconds: What You Can Control
- 2By the Numbers: AI Traffic, Conversion, and Trust Data
- 3Your Biggest Risk: The AI Shortlist and Incomplete Data
- 45 Actions for This Quarter
- 5What Good Looks Like: Conversion Evidence from AI Traffic
- 6Lyro in Context: Service Layer Meets Shopping Assistant
The AI shortlist is real and it's working against incomplete data. If your feeds have gaps, stale pricing, or weak reviews, AI systems omit you entirely — not penalized, simply invisible.
We wrote this for leaders deciding where AI belongs in their stack, and where it does not. The early-mover window is narrowing.
Get the Ecommerce Summary
Download the Free Summary
Get instant access to "Your Practical Roadmap" — role-specific insights from the full "AI in E-Commerce in 2026" report.
More Reports
Explore Other Perspectives
Get the full report or explore summaries tailored to other leadership roles.
Frequently Asked Questions
This ecommerce-focused summary covers the three levers retailers control (product data, owned AI experience, service quality), key stats on AI-referred traffic and conversion rates, the AI shortlist effect and why incomplete product data causes invisibility, and 5 concrete actions for this quarter including feed audits, machine-readable policies, AI customer service, schema markup, and attribution upgrades.
Yes, the role-specific summary is completely free. Fill in the form above to get instant access.
This summary is distilled from the full 35-page "AI in E-Commerce in 2026" report, focusing specifically on findings relevant to ecommerce and retail operations.
All research, industry data, and case studies referenced are from 2025 and 2026. Leave your work email to receive future updates.
You may receive occasional updates about new research and insights relevant to AI in ecommerce. You can unsubscribe at any time.
