Conversion & Lead Capture

A storefront built to sell, and to be bought by the agents doing the shopping

For small and mid-size US businesses selling products online who need a store that converts real shoppers and is legible to AI shopping agents.

Every engagement is directed by a technical specialist and reviewed before delivery.

What this is

An Ecommerce Store Build is a scoped, done-for-you online storefront a technical specialist engineers to do two jobs at once: convert the people who land on it, and be understood and bought by the AI shopping agents that now browse and check out on a customer's behalf. We produce clean, machine-readable product data, complete Product and Offer schema, and a fast, accessible checkout, then wire the analytics and structured feeds that let both search engines and answer engines qualify your catalog. We scope the work to your products, your platform and your starting position, and a technical specialist directs the build and checks it before delivery. The outcome is an owned commerce asset that loads quickly, ranks and gets cited, sells without friction, and stays visible as shopping moves from search boxes to conversational agents. It is a store your customers can buy from, and one an agent can qualify, add to cart, and complete.

The problem

Why this matters now

Most store builds are judged on how they look on launch day. Then the real costs show up: pages that load slowly on a phone, a checkout that leaks customers between the cart and the confirmation screen, and product data buried inside marketing copy where no engine can read it. The store works, technically, and still underperforms.

The ground has also shifted. Shoppers increasingly start inside an assistant, and a growing share of purchases will be initiated or completed by an AI agent acting for the buyer. Morgan Stanley projects nearly half of online shoppers will use AI shopping agents by 2030. If your catalog is not structured, machine-readable, and buyable, those agents pass you by for a competitor whose data they can actually parse.

Meanwhile the same fundamentals still decide whether a human buys: does it load fast, does it work on mobile and with a screen reader, and is the checkout short and trustworthy. A store has to win both audiences at once, and most platform templates optimize for neither.

Most owners are left choosing between a cheap template that will not scale and a bespoke build that quotes a blind number before anyone has looked at what they are selling. Neither tells you what the work actually is.

How it works

The mechanism, made checkable

  1. 01

    Scope and platform decision

    A technical specialist maps your catalog, your channels and where you sell today, then recommends the right platform and architecture. We fix scope, integrations and the checkout model in writing before any build starts, so nothing is quoted or committed blind.

  2. 02

    Clean product data and catalog structure

    We organize every SKU into standard, machine-readable fields: title, price, availability, GTIN or MPN, material, dimensions and variants, held apart from marketing copy. Structured, enriched catalogs are what let an engine or agent understand and qualify a product rather than guess at it.

  3. 03

    Schema, feeds and agent-readiness

    We implement complete Product and Offer schema plus return and shipping policy markup, and stand up the structured product feed that answer engines and shopping agents consume. This is the layer that decides whether your store is legible to ChatGPT-class assistants and the emerging agentic checkout standards.

  4. 04

    Fast, accessible storefront

    We build your storefront to Core Web Vitals and WCAG 2.2 AA: quick loads on a mid-range phone, keyboard and screen-reader access, and clean templates for category, product and cart. Speed and accessibility are conversion features, not compliance chores.

  5. 05

    Frictionless, trustworthy checkout

    We shorten the path from cart to confirmation, remove the abandonment traps in shipping and payment, and add the clear controls buyers and their agents now expect, including easy cancellation and transparent totals. The messy middle of checkout is where most stores lose the sale.

  6. 06

    Analytics, review and handoff

    We wire in conversion tracking and the reporting you need to see what your store does after launch, run the build through a quality review, and hand you an owned asset with documentation. A specialist reviews every store before delivery.

What is included

What is delivered

  • Platform selection and store architecture, scoped to your catalog and channels
  • Catalog structuring: standardized product fields, GTIN or MPN, variants, attributes and real-world descriptions
  • Product, Offer, review, shipping and return-policy schema implementation
  • A structured, machine-readable product feed built for answer engines and AI shopping agents
  • Category, product, cart and checkout templates engineered for conversion
  • Core Web Vitals performance work and WCAG 2.2 AA accessibility pass
  • Checkout optimization: fewer steps, transparent totals, clear cancellation and trust signals
  • Conversion analytics and event tracking so every stage is measurable
  • Specialist quality review before delivery, plus handoff documentation for your owned asset

The outcome

What it moves

  • A storefront that loads fast on mobile and meets WCAG 2.2 AA accessibility, so more of the people who arrive can actually buy
  • Product data structured in machine-readable fields, so search engines, answer engines and shopping agents can read and qualify your catalog
  • Complete Product, Offer, shipping and return schema, giving engines the fields they weigh when deciding whether to surface or recommend you
  • A shorter, clearer checkout that removes common abandonment traps between cart and confirmation
  • A store ready for the AI shopping agents now doing some of the buying, with the structured feed and policies the new checkout standards depend on
  • An owned, documented asset you control, with conversion tracking in place to show what it does

What you get

What you get, and how it is priced

This is a scoped engagement. We publish the deliverables and the cadence here, then scope the build to your products, your platform and your growth plan, with the exact figure confirmed in writing after a short call.

Essential Storefront. A focused build for a smaller catalog on a proven platform: clean product data, full schema, a fast accessible storefront and an optimized checkout. Scoped to your SKUs and quoted after a short call.Quoted
Growth Store. A larger or multi-category build with deeper integrations, the agent-ready product feed, richer merchandising and full conversion tracking. Scoped to your catalog, integrations and channels.Quoted
Custom Commerce. A bespoke or multi-channel build with custom integrations, migration from an existing store, and a coordinated visibility plan. Scoped end to end with a specialist and confirmed in writing.Quoted

You see the full deliverables and cadence first, then a price built for your business, confirmed in writing.

Straight answers

Questions about Ecommerce Store Build

You bill in USD, but are you overseas?

Raveneye Global is operated by RavenGroup Global Tech Private Limited, and everything is billed in USD. There is no surprise currency conversion. A technical specialist directs and reviews the work.

Is the store synthetic or template slop?

No. A technical specialist directs and reviews every build before delivery. Technology speeds up the structure, schema and performance work, but the architecture, the copy decisions and the checkout are expert-led craft. A specialist makes those calls, and a specialist signs off before your store ships.

How do I know the build will hold up before I commit?

We publish the method and the deliverables in full before any commitment, scope every build in writing, and hand over an owned asset with no lock-in. The scope we put in writing and the store we deliver are the proof. Every build passes a specialist review before it ships.

Why is this scoped instead of a fixed price?

Because an ecommerce build depends on catalog size, platform, integrations and whether you are migrating an existing store. Publishing one number for all of that would be a fiction, and quoting by how large a business looks would be dishonest. We show the full deliverables and cadence first, then confirm the exact figure in writing after a short call. Scope before numbers, always.

What does agent-ready or buyable by AI agents actually mean?

It means we structure your catalog in standard machine-readable fields with complete Product and Offer schema, and serve it through a structured product feed that AI shopping assistants and the new agentic checkout standards can read. Evidence suggests this is becoming decisive: Morgan Stanley projects nearly half of online shoppers will use AI shopping agents by 2030, and open standards like the Agentic Commerce Protocol, codeveloped by Stripe and OpenAI, now define how agents browse and complete purchases. We engineer the build to those requirements.

How do you measure whether the build worked?

We instrument your store with conversion tracking, and report load performance against Core Web Vitals, accessibility against WCAG 2.2 AA, and the checkout and catalog events that show where customers move and where they drop. We report with variance and against a baseline, never a single flattering figure with no context.

What is guaranteed?

Only the method and the standard of the reporting. We commit to the scoped deliverables, to building to current performance, accessibility and structured-data standards, and to a specialist review before delivery. We guarantee no sales figure, ranking, or specific agent recommendation. Engine and agent behavior changes, and we do not promise those outcomes.

Do I own the store, and can I leave?

Yes. Your store is an owned asset, delivered with documentation, fully under your control. There is no lock-in. Any standing work that follows cancels in the same number of steps it took to start.

Provenance

Sources

  • Morgan Stanley projection on AI shopping agent adoption by 2030, cited in commercetools, 7 AI Trends Shaping Agentic Commerce in 2026 (2026)
  • Stripe, Developing an open standard for agentic commerce (Agentic Commerce Protocol, codeveloped with OpenAI), 2025 to 2026
  • Checkout.com consumer study on agentic purchase controls, June 2026, cited in nshift, The rise of agentic commerce (2026)
  • Google, Core Web Vitals thresholds (LCP, INP, CLS), web.dev, 2024 to 2026
  • W3C, Web Content Accessibility Guidelines (WCAG) 2.2, 2023

Begin with where the business stands.

No obligation. The deliverable is a measured starting position and the corrections that move it most.