Products agents can understand
Clean product, variant, identifier, media and policy data across feeds and structured markup.
Discovery readyAgentic commerce engineering for Adobe Commerce & Magento
Prepare your Magento store for AI product discovery and checkout.
A fixed 10-business-day sprint to audit your product data, prove one secure commerce path and give your team a production roadmap — without replatforming.
10 business days
From €4,500
17+ years with Magento · Former Klarna Solution Engineer · Magento Certified Developer Plus
See what you get in ten days-
01
ScanSix public checks against your live store, inside a fifteen-second budget.
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02
ReviewedAn engineer signs off three prioritised risks. Two business days, by email.
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03
SprintTen business days from €4,500 — and we say plainly if it is not a fit.
Scan your store free
Six public checks. No login or production access.
- Read-only
- 3 pages max
- 15s budget
- robots.txt honoured
- 5 scans/hour
No login, no production access, nothing written. Checks UCP, MCP, bot policy, llms.txt, feeds and product schema. Scan only a store you own or are authorised to assess.
How an agent shops a ready store
Example
AI assistant “Nord Trail Boot, size 42 — price and availability?”
Your Magento €149.00 · 42 in stock Shipping and tax from your checkout rules
Answered from your store’s own data — Magento stays the source of truth, not a scraped copy.
readiness checks
- UCP-01 Capability manifest at /.well-known/ucp — waiting
- MCP-01 Advertised MCP endpoint reachable — waiting
- BOT-01 Bot policy for AI crawlers — waiting
- LLMS-01 /llms.txt present — waiting
- FEED-01 Product feed completeness — waiting
- SCHEMA-01 Product, Offer and rating markup — waiting
What a shopping agent experiences here replayed from the checks
The same session on an agent-ready store ready.expandingweb.com
- Visiting ready.expandingweb.com with intent to buy.
- robots.txt lets AI shopping crawlers read the catalog.
- /llms.txt gives me an authoritative summary of what this store sells.
- I found “Nord Trail Boot” listed at 149.00 EUR.
- Product and Offer markup let me verify the price without scraping templates.
- The product carries enough agent-expected attributes for me to describe and sell it.
- A capability manifest at /.well-known/ucp tells me which commerce operations I may call.
- The MCP endpoint answers my handshake — I have a live line for price, stock, cart and checkout questions.
- Session complete — I can discover this store, verify its data and hold a live line to its commerce. That is rare, and it wins recommendations.
6/6 checks pass there — our own reference implementation, live. It is the sprint's end state: scan it yourself, then let us close the gap on your store.
First thing to fix
Two checks and the full interpretation are delivered with the report. We generate the analysis automatically and it is signed off by an engineer before it reaches you — within two business days.
A specialist Adobe Commerce practice — an independent practice, not a marketplace of freelancers
17+ yearsMagento engineering
Former KlarnaSolution Engineer, London
Magento CertifiedDeveloper Plus
Enterprise systemsERP, PIM, payments and B2B
Three merchant outcomes
Make the store useful to agents without losing control of commerce.
The work starts with the systems already running your business. Product data becomes legible, live answers stay authoritative, and checkout rules remain yours.
Answers buyers can trust
Price, inventory, promotions and delivery come from Adobe Commerce, ERP and PIM — not stale copies.
Live commerce stateCheckout you still control
Cart, tax, fraud and payment flows expose safe operations while preserving existing business rules.
Secure transactionsFixed-scope engagement
A working decision in ten business days.
Not a strategy deck. You leave with evidence from your stack, one working path and a route to production.
Discuss the sprint- AUD-01Gap map
Catalog and data audit
A field-by-field map of product, variant, pricing, inventory, media and policy gaps.
- ARC-01Architecture
Agent-commerce architecture
An ACP, UCP and MCP design tied to your Magento, ERP, PIM and payment boundaries.
- PROTO-01Working proof
One working prototype
Product discovery, live lookup, cart creation or checkout session proven on an agreed path.
- SEC-01Control plan
Security and observability plan
Authentication, signatures, rate limits, PII boundaries, logs, retries and failure handling.
- ROAD-01Roadmap
Production roadmap
Priorities, dependencies, effort estimates and a decision-ready walkthrough for your team.
Days 1–3Audit the real stack
Days 4–6Map the architecture
Days 7–9Build and test
Day 10Demo and decide
No replatforming
Keep Adobe Commerce in charge.
AI surfaces need a dependable route to product data and commerce operations. Adobe Commerce remains the system of record, with ERP, PIM and payment services continuing to apply the rules your business already trusts.
Standards and programme access are still evolving. The architecture is versioned around what is available for your merchant, market and channel — never a promise of universal access or ranking.
AI shopping surfacesDiscovery · comparison · purchase actions
ACP
Agent-facing product and checkout flows; access depends on the surface and programme.
UCP
Capability discovery for checkout, payments and order operations.
MCP Coming Soon
Live data and actions as tools. Adobe has announced a Commerce MCP server and currently labels it Coming Soon.
System of recordAdobe Commerce / MagentoCatalog · price · cart · checkout
PIMERPInventoryPayments
Transparent pricing
Start with evidence. Invest after the scope is clear.
The free scan opens the conversation. The sprint defines the production scope before a larger build begins.
Six public checks plus three readiness risks by email, signed off by an engineer.
Scan your store →Audit, architecture, working prototype, security plan, roadmap and walkthrough.
Request a review →Feeds, live endpoints and agent checkout integrated with your existing stack.
Discuss the scope →Monthly readiness, citation and protocol-drift review with written recommendations.
Discuss monitoring →Built for complexity
A fit for established commerce teams
- Adobe Commerce or Magento with custom integrations
- B2B, multi-store, configurable or marketplace catalogs
- ERP, PIM, custom pricing, inventory or payment flows
Not the right engagement
Not a generic AI add-on
- You only need AI-written product descriptions
- You want a cheap chatbot or universal plug-in
- You expect guaranteed placement on an AI platform
Readiness review
Get three readiness risks, signed off by an engineer.
We generate the analysis from all six checks automatically; an engineer reviews and signs it off before it is sent. Two business days. We will also say plainly whether the ten-day sprint is a fit.
For Adobe Commerce agencies
Add specialist capability without building a new practice.
We work white-label or alongside your delivery team. You keep the client relationship; Expanding Web provides discovery, architecture, prototyping and developer handover.
- Fixed-scope pre-sales and readiness engagements
- Co-branded or white-label delivery
- Enablement for your Adobe Commerce developers
Common questions
Straight answers before you commit.
What is agentic commerce?
Agentic commerce is commerce in which AI agents help users discover, compare and — where supported — execute purchase actions. For a merchant, that requires accurate product data and safe access to real commerce operations, not only a chat interface.
Are ACP, UCP and agent checkout already live?
ACP and UCP specifications are published and integrations are emerging. Adobe has announced a Commerce MCP server but currently labels it Coming Soon. What is available depends on the platform, market and merchant eligibility; the sprint separates what can be implemented now from what still depends on platform access or approval.
Do you guarantee our products will appear in ChatGPT or Gemini?
No. We prepare and validate your data and interfaces, support onboarding and remove technical blockers. Discovery, ranking and programme access remain controlled by the relevant platform, and we say so up front.
What if UCP loses to ACP, or the other way round?
The underlying work pays off regardless of which protocol wins: clean product data, an API-first catalog, feed completeness and a sane bot policy serve every agent surface. Standards mappings are versioned, and the architecture is never bound to a single protocol.
How is this different from SEO?
SEO earns rankings on result pages. Agent readiness gives software agents authoritative data and transactable interfaces: live price and availability, policies, cart and checkout operations. The two overlap in structured data and diverge everywhere money moves.
Do you work with Magento Open Source?
Yes. The approach applies to both Adobe Commerce and Magento Open Source, although the implementation depends on your modules, integrations and checkout architecture. Shopware and custom stacks are handled case by case.
How much does it cost?
The scan is free. Readiness Sprints start at €4,500 for ten business days. Production implementation is typically €10,000–€20,000, quoted after the sprint when the real scope is known. Ongoing monitoring runs €2,500–€4,000 per month.
Will you replace our current checkout?
Usually not. Your commerce platform, payment provider and connected systems remain the source of truth. The goal is to expose authoritative operations safely while preserving the business rules that already run your store.
Do you work with our existing agency — or can our agency resell this?
Yes to both. We work white-label, co-branded or as a specialist subcontractor. Your agency keeps the client relationship; we bring discovery, architecture, prototyping and enablement.