Stores AI can buy from
Your customer asks the assistant about a product, not about your store. The question is whether the assistant has anything to answer with.
What changes compared to an ordinary store
An ordinary store shows its catalogue to someone who already got there. An AI assistant does not browse the way a person does: it either gets the data directly, or guesses it from the page text, or skips you and names someone else.
MCP is how an assistant reads data straight from the store instead of inferring it from text. In practice ChatGPT sees the same catalogue, the same prices and the same stock levels your customer sees in the browser, so it answers with a concrete product and leads to an order.
What it covers
Catalogue, prices and stock read directly
The assistant gets current data from the store, not a description of it. No guessing whether a price from six months ago still holds.
Product pages an assistant can quote in full
The description written so the model quotes the whole answer, not a cut-off fragment missing the detail that decides the purchase.
Product and price data in machine-readable form
Name, price, availability and attributes written so a program reads them unambiguously instead of interpreting a sentence.
From question to order
The customer moves from a question asked in the assistant to a specific product, instead of going back to search and landing on a competitor.
Integrations: payments, stock, couriers, optionally CRM
The store wired into what actually handles the order. Without that, the data AI reads drifts from reality within a week. We add the CRM when you also sell outside the store.
Migrating an existing store
You already sell and do not want to start over. We move the store and add the layer the assistant reads.
Built on Medusa
An engine where the catalogue, prices and stock are a separate data layer rather than part of the page template. That is why opening them to an assistant is a natural step.
Support after launch
We do not stop on launch day: we stay with the store when integrations change or the data the assistant reads shifts.
What goes with this
A store is a site with a catalogue, so the same rules apply as to websites AI can read, only the object is a product with a price and a delivery date.
Orders that arrive are handled by AI automation, and whether an assistant names your products at all is measured by visibility in AI assistants. The store and its integrations are quoted separately: see pricing.
Frequently asked questions
What is MCP and why does my store need it?
It is how an AI assistant reads data straight from your store instead of inferring it from the page description. That way ChatGPT sees your current catalogue, prices and stock, so it answers with a specific product rather than a generality about your industry.
Do I have to rebuild the store from scratch?
No. We also work on an existing store: we move it and add the layer the assistant reads. Scope and cost depend on what the store runs on today and how many integrations have to be rebuilt.
What about payments, stock and couriers?
We wire the store into whatever actually handles the order. This is not cosmetic: without a live stock connection, the data the assistant reads drifts from reality within a week, and then it does more harm than good.
How long does building the store take?
Between 7 and 14 days. The difference is scope: a new store with the catalogue already prepared moves faster than a migration, where integrations have to be rebuilt and old product addresses redirected. We give the timeline together with the quote, before we start.
What do you build the store on?
On Medusa. There the catalogue, prices and stock are a separate data layer rather than part of the page template. That is why opening that data to an AI assistant is a natural step, not a plugin bolted onto a store that was never designed for it.
Do you guarantee ChatGPT will recommend my products?
No. Nobody controls what AI models answer, so that guarantee cannot be made honestly. We guarantee the assistant has somewhere to get current data about your products, and a measurement that shows you whether it names them.