NEW RELEASE · AGENTIC SHOPPING WHITEPAPER
When shoppers ask AI, is your product in the answer?
How shopping assistants choose which products to recommend, and a 90-day plan for CPG brands to measure and improve their place in the shortlist.
No paywall. One form. Instant access.
DATA FROM THE PAPER ✧
| 01 |
What changed for the shopper From keyword to situation, and what AI already decides. |
| 02 |
Where selection happens Retail assistants, personal AI agents and general assistants. |
| 03 |
What decides selection The product page and the sources beyond it. |
| 04 |
What the evidence shows The Dell case on Amazon UK. |
| 05 |
The next 90 days A five-step method and a decision table. |
WHAT YOU'LL FIND INSIDE
Four chapters, one
inconvenient truth
The digital shelf was built on a premise that has reached its limits.
This paper traces what went wrong, what is replacing it, and how the organisations that move first are likely to pull ahead.
A shelf where decisions take too long
→ Why online grocery penetration sits at 12.5% when beauty and pet care have passed 40%.
→ Dashboard fatigue, the OODA loop, and the architectural failure no tool refresh can fix.
How AI is reshaping both sides of the shelf
→ Rufus, Sparky, and off-platform assistants absorbing the research work your shelf was built to enable.
→ What that means for attribution, for content, and for your category.
A new operating model for eCom teams
→ From managing PDPs to managing an influence surface.
→ Why SEO and GEO follow completely different logic, and which cross-functional teams your eCom org has never needed before.
How to organize for AI commerce
→ GEO task force design, the AI Agent Manager role, and the displacement vs. augmentation choice that separates the Klarnas from the IKEAs.
→ Plus a phased 4-step readiness roadmap.
80 to 90% of working time goes to collecting and preparing data. 10 to 20% is left for the decisions that drive performance.
FROM THE PAPER - PAGE 4
80 to 90% of working time goes to collecting and preparing data. 10 to 20% is left for the decisions that drive performance.
FROM THE PAPER - PAGE 4
WHO READS THIS
ABOUT THE AUTHOR
Valeria Bellani | Founder & CRO at Shalion
Valeria Bellani is CRO and co-founder of Shalion, the AI-first digital shelf and retail media intelligence platform for global consumer brands. With more than 30 years in market research, she has spent her career turning data into decisions for some of the world’s leading brands. As AI takes over more of the shortlisting that precedes a purchase, her focus is on giving brands the visibility and tools to earn a place in the answer. She is a regular voice on retail media, including her talk at Retail Media Congress 2024 on retail media beyond Amazon.
GET THE PAPER
→ Data on AI-referred traffic, Rufus and Sparky usage, and shopper trust in delegated payment
→ A 90-day plan to optimize search against AI selection, and the inputs that matter in each environment
→ A real-world case study with Dell on Amazon UK, with gains and losses by intent
→ The 5 step method and a decision table for your first category