Agentic IntentA parseable catalog and product pages that answer an assistant’s questions
Solutions · Sell
The assistant brings a cart.
Someone asks an assistant to furnish a room, replace a part or restock a shelf. It reads a catalog: yours if it can, a competitor’s if it cannot.
- 1Shopperasks an assistant for a sofa under $1,200
- 2Assistantreads a catalog it can parse
- 3Your catalogreal products, real prices, real stock
- 4Review pagethe shopper picks, on your site
- 5Your checkoutyour order, your customer, your margin
What this actually means
The assistant assembles something inside the budget and hands the basket back for the shopper to approve on your site. Your checkout, your customer, your margin. Nothing is bought without a person agreeing to it.
The work is a catalog an assistant can parse, a review page where the shopper picks, and the attribution underneath so you can tell which assistant sent what.
/llms.txt# Shopping guide Products, prices and stock are live. Preview links let a shopper review picks without purchasing or changing a cart. ## Catalog - [Catalog index](/api/catalog) JSON, paginated: id, price, colour, dimensions, stock - [Product API](/api/products) Lookup by id or SKU ## Handing a selection back /review?picks=<id>~<qty>,<id>~<qty>&budget=<cents> Opens a page where the shopper chooses. Buys nothing.
What you get
A review-and-pick page the assistant can link straight to
An onsite assistant that builds plans inside a budget
Attribution for the online sale and the one that finishes in a store
Use cases
Where Agentic Commerce earns its keep.
Who this is
- Retail & e-commerce
- Furniture & home
- Grocery
- Direct-to-consumer
- Parts & supply
- Building products
- Auto parts
- Pharmacy & beauty
- Sporting goods
- Industrial distribution
We will show you this on your own data.
It is more convincing on your catalog, or your intake, than on anyone else’s.