Agentic Commerce · Built for 2026

Shopify catalogs that sell inside ChatGPT, Gemini & Copilot.

Make your Shopify catalog discoverable and shoppable inside ChatGPT, Google AI Mode, Microsoft Copilot, and Gemini: with Agentic Storefronts, UCP, MCP servers, and rich structured data.

Get an agent-readability audit See what we build
  • ChatGPT
  • Google AI Mode
  • Microsoft Copilot
  • Gemini

AI shopping agent

Illustration

Find me a weekender bag under $200 that can ship this week.

Searching store catalogsMCP server · catalog lookup
Checking stock and deliveryLive inventory · ships in 2 days
Comparing price and reviewsProduct schema · 4.8 rating

Best match from a store I can check live:

Weekender bag

Your store · $184

In stockShips in 2 days4.8 rating

Buy it with my saved card.

Creating the checkoutAgentic Storefront · Shopify checkout
Order placedWeekender bag · $184 · arrives ThursdaySale attributed to: AI assistant

Read from: product schema · merchant feed · MCP server

Trusted by 250+ brands across the US, UK, UAE & Europe

01 / CAPABILITIES

Eight capabilities for the agentic web.

From Shopify's Universal Commerce Platform integration to custom MCP servers and Agentic Storefronts. We make your catalog discoverable wherever AI agents are shopping.

ChatGPT discoverability

Optimize your catalog and product schema so ChatGPT recommends and links your products in shopping conversations.

Google AI Mode

Structured data, FAQ schema, product reviews, and content optimization so you rank in Google's AI Mode answers.

MCP server development

Custom Model Context Protocol servers that expose your catalog, inventory, and ordering to AI agents.

Agentic Storefronts

Implement Shopify's native Agentic Storefronts spec for direct in-AI checkout from ChatGPT, Gemini, Copilot.

UCP integration

Connect to Shopify's Universal Commerce Platform for unified catalog distribution to every AI shopping surface.

Structured data

Product, Offer, AggregateRating, FAQ, and HowTo JSON-LD, the data AI agents need to recommend your store.

AI shopping content

Product copy and content marketing optimized for how AI agents summarize, compare, and recommend products.

Agentic analytics

Track which AI surfaces are driving sessions, conversions, and revenue. AI-aware UTMs and attribution.

02 / HOW IT RUNS

How an agentic commerce engagement runs.

Assistants read your catalog differently to Google. The work is making it legible to both.

  1. Stage 1

    Agent-readability audit

    We check how your catalog currently renders to crawlers and assistants, and what is invisible to them.

  2. Stage 2

    Structured data and feeds

    Product schema, availability, pricing and merchant feeds get corrected so machines read them without guessing.

  3. Stage 3

    Agent surface build

    MCP server, agentic storefront endpoints or UCP integration, depending on which surfaces matter to you.

  4. Stage 4

    Measure agent traffic

    Referral and assistant-sourced sessions get separated out so you can see whether any of this earned its budget.

03 / SCOPE

What an engagement covers.

Written into the SOW before you sign, so there is no argument later about what was implied.

In scope

  • Structured data and product schema correction
  • Merchant feed configuration and validation
  • MCP server development exposing your catalog to assistants
  • Agentic storefront and UCP integration work
  • Content restructuring so answers are extractable
  • Analytics separating assistant-sourced traffic from search

Handled separately

  • Guaranteed placement or ranking inside any AI assistant
  • Paid placement in AI ad units
  • Ongoing content production

Not exclusions on principle. Any of these can be scoped as its own engagement, priced on its own.

04 / HOW FAR TO GO

Three levels of commitment, and what each one costs you.

This category is young. Being honest about the three levels of commitment matters more than usual.

Level 1

Fix structured data only

Your catalog becomes legible to assistants and AI search.

The catch

Low cost and low ceiling. You are legible, but you are not doing anything a competitor cannot copy in a week.

Level 2

Feeds plus agent surfaces

Corrected feeds plus Agentic Storefronts or UCP, so assistants can show and sell your products.

The catch

Standards are still moving. Expect to revisit this within a year.

Level 3

Full MCP integration

A custom MCP server that lets agents look up catalog and inventory and place orders.

The catch

You are building against protocols that are still changing, and there is no guaranteed audience yet.

05 / PRICING

Fixed scope. You see the price before you sign.

Three starting points. Most stores see their first AI-attributed orders within 60 days.

Schema sprint

$4K–$10K

2–4 weeks

  • Product, Offer and review schema corrected
  • FAQ and HowTo markup where it fits
  • Content restructured so answers are extractable
Scope this

Agentic Storefronts

$15K–$45K

4–8 weeks

  • Shopify Agentic Storefronts implementation
  • UCP catalog distribution
  • Merchant feed configuration and validation
Scope this

MCP server

$25K–$80K

6–12 weeks

  • Custom Model Context Protocol server
  • Catalog lookups and inventory checks
  • Order placement for AI agents
Scope this

06 / WHY US

Six reasons brands trust us with a young channel.

Most of our work here starts as a small scope inside a larger Shopify engagement. These are the reasons clients give when we ask why.

Shopify Partner since 2020

Certified, with direct partner support channels when a build needs them.

250+ stores shipped since 2019

Seven years of Shopify-specific pattern recognition, not general web work.

A dedicated PM on every build

One accountable owner, weekly written updates, no account-manager telephone game.

Conversion-first, not pixel-first

Design decisions are argued from revenue impact, and measured after launch.

Transparent, fixed-scope pricing

Written scope and a fixed number before work starts. No surprise line items.

You own the code, always

Clean handover, documented, on your repos. Leaving is never held over you.

07 / FAQ

Questions we hear before every agentic commerce engagement.

Honest answers, including the ones most agencies dodge.

Read the full 2026 playbook
What is agentic commerce?

Shopping that happens inside AI assistants like ChatGPT, Gemini, and Copilot. Customers ask in natural language; the agent finds, compares, and buys, often without ever visiting your store.

How do I rank in ChatGPT or Gemini?

Structured data, an MCP server, and content optimized for AI summarization. Being on Shopify makes this faster, because Shopify already works with the main assistants.

What's an MCP server?

Model Context Protocol: an open spec by Anthropic that lets AI agents call your APIs (catalog lookups, inventory checks, order placement). We build them.

Will customers actually shop in ChatGPT?

Yes. OpenAI rolled out shopping in ChatGPT in late 2025 with checkout from Shopify and other partners, and it is growing fast.

How long does it take?

Agentic Storefronts: 4–8 weeks. MCP server: 6–12 weeks. Schema and content optimization: 2–4 weeks. Most stores see first AI-attributed orders in 60 days.

What does this cost?

Schema sprint: $4K–$10K. MCP server: $25K–$80K. Agentic Storefronts: $15K–$45K. You get a written scope and a fixed number before work starts.