For years, shoppers searched, compared, and clicked their way to your brand.
Now they just ask AI, and the answer sounds nothing like you.
Everything you would tell a shopper, your colorways, your reviews, your materials, where to buy, lives inside the conversation. Scroll to see what yours could say.
What your Storefront knows
Every detail you would share with a shopper, ready for anything they ask.
I want something warm-toned. What colours does this collection come in?
My living room is about 8 ft by 10 ft. Will the 3-seater actually fit?
Is the rattan hard-wearing, and how do I keep it looking new?
What do people who actually bought this one say about it?
Is the sage finish in stock at a store near me right now?
Once a shopper opens your Storefront
Your Storefront answers the need behind the question, not a spec sheet. It reads what they actually mean and curates the pieces that fit.
It recommends from your full range in context, the way your best store associate would, tuned to what they just said. The same Content Enrichment Engine that gets you discovered also powers your Storefront, so it can draw from your full range in context.
Every finish, styled for the room they described. Your imagery and lifestyle content, never a stock thumbnail.
Verified reviews from real owners surface right when they're weighing it up, so they choose with confidence.
From considering to buying
It finds the nearest store with the product in stock, with distance and opening hours, so the moment of intent doesn't cool.
Buy online, find it in store, or hand off to your own checkout. Finding and buying in one flow, on your terms.
Conversational commerceThis is how people are starting to shop, in the assistants they already use. Here is what yours looks like.
Ivory
Mustard
Sage
Sarto Rattan
Sarto · Mustard
Aria Collection

Ivory
Mustard
Sage
“Sturdy rattan, and the sage is exactly as pictured. Three months in with two kids and it still looks new.”
“The colour match was pixel perfect and it arrived a week earlier than promised. Worth every penny.”
“Best sofa we’ve bought. The rattan is genuinely sturdy and the sage green is exactly as pictured.”
What if I'm not there?
The same question. A very different answer.
When a shopper brings you up, a plain assistant answers on your behalf with whatever it can piece together, often unverified content from the open web. Your Storefront answers with your products, your imagery, your proof, your voice and your purchase options. Ask it both ways.
How shoppers reach your Storefront.
Once ChatGPT has learned your app, a brand mention can surface your Storefront, and shoppers can invoke it directly any time they want it.
Discover your app.
A campaign, a QR code, or a link introduces your app in ChatGPT. As the model learns what your app is for, a brand mention can surface your Storefront, no manual setup for the shopper.
Or just @yourbrand.
Shoppers can also invoke your Storefront directly. Mention your brand and pick up a branded, personalized conversation any time they shop.
A Storefront is as capable as your category needs.
Product listings and store locators are just the start. Custom tools let the Storefront power the specific conversations your shoppers actually need.
Looks styled for the occasion.
Describe the event and your Storefront assembles complete looks from your range, not a flat product grid.




A quiz that finds the match.
Guided finders, like a foundation-shade quiz, turn an open question into the exact product a shopper needs.
Answers beyond the catalog.
Custom tools go past listings, surfacing destination tips, options, and the context that keeps the conversation useful.
Fried rice balls with a molten mozzarella centre.
A pillowy sweet bun, split and filled with cream.
How hard is this?
Build it yourself and come up short. Or go live in two weeks.
Standing up an agentic storefront in-house means data pipelines, model tuning, guardrails, and integrations: months of work, and even then it is usually one LLM with a fraction of the capabilities. The DaVinci Agentic Storefront is launch-ready in about two weeks, across LLMs, with the full stack of capabilities already built in.
Storefront Studio, the real platform your team configures it in.
Configure the whole Storefront yourself, in about two weeks.
Choose the pages your Storefront has, connect your content sources, then customize the look from a library of templates. No engineering queue, no per-LLM rebuilds.
- Pick your tools: product listing, details, lifestyle, store locator, purchase, and more
- Configure content sources for every page
- Customize colors, tone of voice, and design from templates
More than a chat
Not a chatbot. A storefront fed by everything you know.
A plain assistant guesses from the open web. Your Storefront answers from your own product data, your reviews, your lifestyle content, and the conversations shoppers are already having, then reaches them in the assistants they use today and the surfaces they will use next.
Your brand, your rules
Controlled, compliant, and yours alone.
Every answer runs inside guardrails you set. Enterprise teams keep the control they expect, and the data stays yours.
- Answers in your brand voice, never a generic machine tone.
- Only your approved products, claims, and imagery surface.
- Your data is never exposed and never trained on.
- Compliance and disclaimers checked on every response.
- Content continuously enriched by a swarm of agents, never stale.
- Real ratings and reviews answer the questions shoppers ask.
- You see and control what the Storefront can and cannot say.