Use case · Retail & e-commerce

Shoppers are asking an assistant before they open a tab.

The question is no longer "which site do I visit" but "what should I buy". If the assistant cannot read your catalog, it recommends from one it can, and the first time you hear about it is a soft quarter nobody can explain.

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 happens when somebody asks an assistant to buy something in your category. Without a readable catalog, step three is a competitor and the rest never happens.

What the work is

Catalog an assistant can parse, down to size, finish and stock
A review page it can link to, so the shopper picks on your site
Attribution for the online order and the one finished in store

Agentic Commerce in full →

What the assistant reads/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.

Also covers

Furniture & home
Grocery
Parts & supply
Pharmacy & beauty
Sporting goods

Is this your situation?

Send the address of the site. The first reply has findings in it, not a calendar link.

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