AI shopping assistants are the new shelf.
Assistants recommend products and pass shoppers to checkout. They choose from structured product data, reviews and clear claims. We get your catalog into those systems and make it the one they choose.
- Investment
- $1,990
- one-time, up to 100 products
- Timeline
- 3 weeks
The problem
Agentic checkout is live across several AI surfaces, and assistants rely on attributes most catalogs never filled in. Missing details mean the agent picks someone else.
Who it is for
- DTC and ecommerce brands of any size selling online
- Shopify Plus, BigCommerce and headless merchants
- Brands described wrongly, or not at all, by AI shoppers
What you get
AI shelf audit
How your top products appear for shopping prompts across assistants.
Feed engineering
Feeds and attributes for agentic commerce protocols and merchant centers.
Product content
Titles, attributes and use cases written for how assistants answer.
Channel setup
Agentic sales channels configured and tested.
Review signals
A plan for the review and Q&A gaps assistants weigh most.
Measurement
AI-referred sessions, orders and revenue tracked separately.
How it runs
- 1
Shelf audit
Buying prompts for your top 20 products.
- 2
Data fixes
Highest-margin products first.
- 3
Channels
Configured and tested with real assistants.
- 4
Report
Before and after visibility and a full-catalog plan.
What we report on
- Product mention rate
- Feed completeness
- AI-referred revenue
- Attribute accuracy
Common questions
No. Shopify has the most built-in agentic channels today, but we work with BigCommerce, Salesforce Commerce and custom stacks.
Ready to talk about Agentic Commerce Readiness?
Get a free AI Answer Snapshot: five of your buyer prompts, tested across six engines, with the competitors named instead of you.