Structured product feeds
A clean, complete, machine-readable feed — titles, attributes, identifiers (GTIN/SKU), price and availability — that an agent can parse without guessing.
Agent-ready commerce
AI shopping agents are coming for your product feed.
Increasingly, software — not just people — browses, compares and buys. Those agents parse structure, not marketing copy. If your product data is incomplete or unreadable, you are invisible to them. We get you ready.
What does "agent-ready" mean?
Agent-ready commerce means your product catalogue, inventory and policies are published as clean, machine-readable data — structured feeds and schema — so an AI shopping agent can find your products, understand their attributes, and describe them to a buyer correctly. Because agentic-checkout standards are still forming, this is preparation that pays off now in AI search visibility and later as those standards settle.
What it involves
Make your catalogue legible to machines.
Machine-readable inventory
Availability and stock exposed as data and kept truthful, so an agent never recommends something you can't ship.
Policies as data
Shipping, returns and warranty terms in a form an agent can read and quote correctly, not buried in a PDF.
Product & offer schema
Complete Product and Offer schema so each item is unambiguous to the systems that increasingly decide what gets shown.
Agentic checkout is not a settled standard yet. We won't pretend otherwise — this is preparation that also improves how AI assistants describe you today.
FAQ
Questions, answered.
Is agentic checkout a finished standard?
No. The standards around AI shopping agents and agentic checkout are still shifting. This is preparation — getting your product data clean and machine-readable — not the adoption of a finished spec. The same work also helps your visibility in AI answers today.
Why isn't 'good enough for humans' good enough for agents?
People fill gaps from context and pictures. Agents parse structure. A missing size, material, identifier or availability field can quietly exclude a product from an agent's consideration entirely.
Do you do the work or just advise?
Either. We can implement the feed, schema and policy data ourselves, or audit what you have and hand your team a clear spec to follow.