Selling through AI takes expertise.We engineer it for enterprise retail.
We make your catalog readable to AI assistants, connect your checkout to them, and build shopping agents for your own site.
Six reasons to move now.
+393%
more visits to US retail sites from AI assistants
Adobe Analytics(opens the source in a new tab)
+42%
better conversion from shoppers an AI assistant sent
TechCrunch, Apr 2026(opens the source in a new tab)
$262B
of online holiday sales in 2025 were influenced by AI
Salesforce, Jan 2026(opens the source in a new tab)
35%
bigger carts, at best, for retailers with a shopping agent on their site
Anthropic, Sept 2026(opens the source in a new tab)
$1T
of US retail revenue could run through AI agents by 2030
McKinsey, Oct 2025(opens the source in a new tab)
39%
of US shoppers have already used AI to shop online
Adobe survey, 2026(opens the source in a new tab)
Two ways shoppers reach you now. We connect both.
Off your site
AI assistants
Where shoppers ask first
- ChatGPT
- Google AI Mode & Gemini
- Perplexity
- Microsoft Copilot
- Claude
We build
Protocol Layer
ACP and UCP, so assistants can read and buy from you
On your site
Your shoppers
Asking questions on your storefront
We build
Storefront Agent
Answers from your catalog and builds the cart
Your store
One catalog and one checkout under both
- Shopify
- BigCommerce
- WooCommerce
- Salesforce
- Adobe Commerce
- Commercetools
- Headless
Payment rails
Settles the order
- Stripe
- Adyen
- PayPal
- Visa
- Mastercard
- Amex
AP2 emerging across them
Inside the Storefront Agent
Enterprise agent engineering, pointed at one job: helping a shopper buy.
Grounded in your catalog
Retrieval and grounding
It answers only from your product data, so it cannot invent a spec or a price.
Connected to live systems
Tool use
It checks stock, price and delivery through your APIs, then builds the cart in your checkout.
Built to sell
Guided selling
It asks the clarifying question, compares options against what the shopper said, and moves them to a cart.
Guardrails
Policy enforcement
It stays on brand and on topic, and hands off to your team when it should.
Tested before it talks
Evaluations
Run against real shopper questions before launch and after every change.
Observable and efficient
Tracing and model routing
Every conversation is traced, unanswered questions are logged, and cost and speed are kept in check.
Inside the Protocol Layer
Enterprise integration work, pointed at one job: letting an assistant buy from you.
Scored before it starts
Readiness audit
Storefront, feed and checkout scored against the ACP and UCP requirements, with a sequenced gap roadmap.
A catalog the protocols check
Catalog structuring
Attributes, taxonomy and feed brought to the level the protocols actually check.
ACP, UCP or both, wired
Protocol integration
Feed, taxonomy, checkout handoff, payment and attribution, built end to end for each protocol you take.
Identity, trust and payments
Trust setup
Merchant identity, consent capture and payment enablement on your accounts. You stay merchant of record.
Tested before it ships
Certification
Tested against the live surface, with a conformance report your risk and finance teams can read.
Yours to run
Handover
Documentation and training scoped to what was built, so your team can run it without us.
Four places the sale breaks. What we do about each.
The problem
Assistants only recommend stores whose catalogs they can read.
What we do
We pull attributes out of prose and PDFs into clean fields, with one vocabulary across the catalog.
Catalog work, in every build
An assistant responding to a shopping question names two or three stores and draws them from the merchants whose catalogs it can parse and verify, so a feed it cannot read never enters consideration rather than merely ranking poorly. The same constraint applies on your own site, where an agent can only surface the products whose attributes are specific enough to match against what the shopper actually asked for.
Start with the free assessment, then choose a door, or both.
These are not steps on a ladder. Each build is priced on its own terms and includes the full readiness audit and the catalog work it depends on. Choosing both is the two scoped as a single engagement, priced accordingly, because the data preparation underneath them is shared. Managed is a retainer that can be added to any of them. Every engagement is scoped and priced before work begins.
- Included
- Ongoing or add-on
- Not included
Start here
Assessment
Free
Storefront Agent
Fixed fee, agreed at scoping
Protocol Layer
Fixed fee, agreed at scoping
Recommended
Both
Fixed fee, agreed at scoping
Managed
Fixed fee plus retainer
- Included
- Ongoing or add-on
- Not included
Not sure which fits? Take the four-question fit check.
See the full comparisonKnow where you stand, then decide what to build.
Ten buying questions run across three assistants, your storefront and feed scored against what the protocols and a storefront agent each require, a note on which door to open first, and an honest read on what the catalog work underneath will involve. It costs nothing and the report is yours regardless.