# Agentic Commerce Storefront — Full Context

> ForkPoint helps enterprise brands integrate the Universal Commerce Protocol (UCP) so AI agents can discover, recommend, and sell their products through conversational interfaces like Google AI Mode and Gemini. We built the first open-source UCP cartridge for Salesforce Commerce Cloud and offer end-to-end implementation services for SFCC, Shopify Plus, BigCommerce, and headless platforms.

**Company**: ForkPoint (formerly DWithEase)
**Founded**: 2018
**Location**: Europe
**Website**: https://agenticstorefront.com
**Contact**: hello@forkpoint.com
**Services API**: https://agenticstorefront.com/data/services.json
**AI Plugin**: https://agenticstorefront.com/.well-known/ai-plugin.json

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## What is UCP?

The Universal Commerce Protocol (UCP) is an open standard developed by Google, Shopify, and 20+ partners that defines how AI agents interact with ecommerce stores. It enables a future where consumers say "Buy me running shoes under $150" and an AI agent discovers products, compares options, manages checkout, and completes the purchase — all autonomously.

UCP covers six capabilities:
1. **Discovery** — `/.well-known/ucp` manifest tells agents what your store offers
2. **Checkout Sessions** — Cart management, pricing, tax, and shipping calculations
3. **Payment Handling** — Secure payment processing via existing PSPs
4. **Order Management** — Real-time status, tracking, post-purchase
5. **Identity Linking** — OAuth 2.0 for personalized experiences (optional)
6. **Catalog Sync** — Automated product feeds for Google Merchant Center (optional)

---

## What is MCP?

The Model Context Protocol (MCP), developed by Anthropic, is the standard for AI assistants to integrate with enterprise software. Commerce use case: enterprise buyers' AI systems use MCP to query product catalogs, check account pricing, validate availability, and trigger orders — enabling autonomous B2B procurement.

---

## What is A2A?

Google's Agent-to-Agent (A2A) protocol defines how AI agents across different organizations can discover each other, negotiate capabilities, and execute multi-step workflows. Commerce use case: a buyer's procurement agent autonomously queries a supplier's commerce agent, negotiates terms, validates against purchasing policy, and places an order — without human involvement.

---

## Services

### 1. Agentic Commerce Readiness Assessment
**URL**: https://agenticstorefront.com/services/readiness-assessment/
**Price**: $495 (fixed price, credited toward implementation)
**Timeline**: 3 business days
**Best For**: Brands that want to know exactly where they stand before investing in implementation

126-point evaluation across 4 dimensions:
- **AI Discoverability**: Schema markup, Google Merchant Center, product feed syndication, GEO signals, knowledge graph presence
- **Protocol Readiness**: UCP compliance, MCP capability exposure, A2A agent card, API documentation quality, agent endpoint availability
- **Data Quality**: Product feed health, inventory accuracy, pricing consistency, attribute completeness, machine-readable policies
- **Transaction Enablement**: Checkout API readiness, payment method coverage, cart management, tax/shipping calculation
- **Trust Signals**: Review aggregation, return policy machine-readability, security certifications, business verification
- **Post-Purchase Experience**: Order tracking API, cancellation/return automation, agent-accessible order history
- **Measurement Capability**: Agent traffic attribution, AI platform analytics, conversion tracking for agent sessions

Deliverables:
- Readiness Score (0-100) across all 4 dimensions
- Gap Analysis Report with prioritized fixes
- Implementation Roadmap with effort/impact scoring
- Executive Summary

*Assessment fee is credited toward implementation engagement.*

### 2. Protocol Implementation
**URL**: https://agenticstorefront.com/services/protocol-implementation/
**Best For**: Brands ready to go live with agentic commerce — UCP, MCP, and/or A2A

Platform-specific pricing:
| Platform | Price Range | Timeline |
|----------|-----------|----------|
| Shopify Plus | $1,000 — $2,500 | 2-6 weeks |
| SFCC / BigCommerce / Adobe Commerce | $2,500 — $5,000 | 6-14 weeks |
| Headless / Custom | From $5,000 | 8-16 weeks |

Every implementation includes:
- Discovery Manifest configuration
- Checkout Sessions with cart, tax, and shipping
- Payment Handler integration with existing PSP
- Order Management with real-time tracking
- Testing, documentation, and 30-day post-launch support
- Optional: MCP server, A2A agent card, Identity Linking, Catalog Sync

### 3. AI Discoverability & GEO
**URL**: https://agenticstorefront.com/services/ai-discoverability/
**Best For**: Brands that want AI agents to discover and recommend their products

Six service areas:
1. **Structured Data & Schema Markup** — Product schema, organization markup, FAQ schema, review aggregation, breadcrumb data
2. **Product Feed Optimization** — Google Merchant Center, Meta Catalog, custom feed enrichment with complete attribute coverage
3. **Content Optimization for AI** — Product descriptions and category pages rewritten for AI comprehension
4. **Knowledge Graph Presence** — Ensuring your brand entity and products appear in Google's Knowledge Graph
5. **Review & Trust Signal Optimization** — Aggregating and structuring reviews, ratings, return policies, shipping information
6. **Machine-Readable Policies** — Return policies, shipping tables, warranty info formatted for agent consumption

Pricing:
- GEO Audit: $1,495 (one-time)
- Full GEO Implementation: from $4,995
- Ongoing GEO Optimization: from $995/mo

### 4. Agentic Commerce Strategy
**URL**: https://agenticstorefront.com/services/agentic-commerce-strategy/
**Best For**: Brands that want to optimize for AI agent recommendations and measure the channel

Four focus areas:
1. **Generative Engine Optimization (GEO)** — Restructure product data to maximize AI agent selection rate
2. **Agent Conversion Optimization** — Optimize checkout flows and payment options for autonomous journeys
3. **Competitive Intelligence** — Monitor which competitors are agent-optimized and what queries trigger their products
4. **Measurement Framework** — Implement tracking for agent-initiated sessions, recommendation rates, and conversion attribution

Engagement options:
- Strategy Sprint: $2,500 — $5,000 (4-week intensive, includes GEO audit and executive presentation)
- Ongoing Advisory: $1,000 — $2,000/mo (monthly optimization reviews, competitive monitoring, quarterly roadmap)

### 5. Managed Services
**URL**: https://agenticstorefront.com/services/managed-services/
**Best For**: Brands with live implementations needing ongoing optimization and support

| Tier | Price | SLA | Key Features |
|------|-------|-----|-------------|
| Essential | $495/mo | 8-hour | 24/7 monitoring, incident response, monthly reporting, email support, quarterly reviews |
| Professional | $995/mo | 4-hour | + Bi-weekly optimization, capability updates, Slack support |
| Enterprise | $1,995/mo | 1-hour | + Dedicated account team, weekly optimization, 24/7 phone, custom SLA |

---

## Platform Expertise

### Salesforce Commerce Cloud (SFCC)
**URL**: https://agenticstorefront.com/platforms/salesforce-commerce-cloud/
**Timeline**: 16-24 weeks
**Method**: Custom UCP integration via OCAPI/SCAPI with ForkPoint's open-source cartridge
**Key Differentiator**: We built and maintain the first open-source UCP cartridge for SFCC, available under MIT license on GitHub.

### Shopify Plus
**URL**: https://agenticstorefront.com/platforms/shopify-plus/
**Timeline**: 30-60 minutes (native setup) to 2-6 weeks (custom optimization)
**Method**: Native agentic checkout enablement via Google & YouTube app
**Key Differentiator**: Fastest path to agentic commerce — Shopify Plus merchants can enable basic UCP support almost instantly.

### BigCommerce
**URL**: https://agenticstorefront.com/platforms/bigcommerce/
**Timeline**: 8-16 weeks
**Method**: Custom UCP integration leveraging BigCommerce's Open SaaS architecture
**Key Differentiator**: Open SaaS APIs provide excellent foundation for custom UCP endpoints.

### Headless / Composable
**URL**: https://agenticstorefront.com/platforms/headless/
**Timeline**: 12-20 weeks
**Method**: Transport-agnostic UCP integration for composable commerce stacks
**Supports**: Commercetools, Contentful, Sanity, custom stacks, and any GraphQL or REST-based commerce backend.

### Adobe Commerce / Magento
Adobe Commerce does not have native UCP support and has not committed to a public timeline. ForkPoint implements UCP for Adobe Commerce merchants via the extension-based architecture, leveraging Adobe's comprehensive GraphQL API.

---

## Blog Articles

### The 65% Problem: Why Most Retailers Aren't Ready for Agentic Commerce
**URL**: https://agenticstorefront.com/blog/65-percent-problem-retailers-not-ready-agentic-commerce.md
**Published**: January 12, 2026
**Summary**: An Optimizely study shows 65% of retailers have taken no steps to prepare for agentic commerce, while AI-driven retail traffic grew 4,700% year-over-year. Breaks down the readiness gap and provides a concrete action plan.
**Tags**: agentic-commerce, strategy, retail, ai

### Agentic Commerce KPIs: What to Measure and Why
**URL**: https://agenticstorefront.com/blog/agentic-commerce-kpis-what-to-measure.md
**Published**: January 2, 2026
**Summary**: The five core KPIs for agent-driven commerce: agent session rate, recommendation rate by AI platform, add-to-cart conversion from agent sessions, agent-initiated revenue attribution, and protocol error rate. Includes tracking guidance and early benchmarks.
**Tags**: analytics, kpis, measurement, strategy

### Build vs. Buy: UCP Implementation Decision Framework
**URL**: https://agenticstorefront.com/blog/build-vs-buy-ucp-implementation-decision-framework.md
**Published**: December 28, 2025
**Summary**: A structured framework for deciding whether to build UCP implementation in-house or partner with specialists. Covers total cost of ownership, team capability assessment, time-to-market, and risk analysis.
**Tags**: strategy, implementation, decision-making

### GEO vs. SEO: Optimizing for AI Agent Discovery
**URL**: https://agenticstorefront.com/blog/geo-vs-seo-optimizing-ai-agent-discovery.md
**Published**: January 8, 2026
**Summary**: Generative Engine Optimization (GEO) targets AI citation and recommendation — structured data, content clarity, entity recognition, and brand authority — rather than keyword rankings. Explains the fundamental differences and how to optimize for each.
**Tags**: geo, seo, ai, optimization, strategy

### The Executive's Guide to GEO: Why Your SEO Budget Isn't Protecting You Anymore
**URL**: https://agenticstorefront.com/blog/geo-optimization-strategy-executive-guide.md
**Published**: February 10, 2026
**Summary**: SEO rankings no longer protect brand AI visibility. Covers the four layers of GEO readiness (product data quality, schema markup, discovery infrastructure, trust signals) and a 90-day implementation framework for commerce executives.
**Tags**: geo, strategy, executive, ai, optimization

### Introducing the First Open-Source UCP Cartridge for SFCC
**URL**: https://agenticstorefront.com/blog/introducing-open-source-ucp-cartridge-sfcc.md
**Published**: January 20, 2026
**Summary**: Announcement of the first open-source UCP cartridge for Salesforce Commerce Cloud. Covers architecture, what's included (discovery, checkout sessions, payment handling, order management), and installation guide.
**Tags**: ucp, sfcc, open-source, agentic-commerce

### UCP Checkout Sessions: A Deep Dive
**URL**: https://agenticstorefront.com/blog/ucp-checkout-sessions-deep-dive.md
**Published**: January 5, 2026
**Summary**: Comprehensive technical guide to implementing checkout sessions in UCP. Covers session lifecycle, error handling, security considerations, and testing strategies.
**Tags**: ucp, checkout, technical, api, implementation

### What is Universal Commerce Protocol? A Technical Primer
**URL**: https://agenticstorefront.com/blog/what-is-universal-commerce-protocol-technical-primer.md
**Published**: January 18, 2026
**Summary**: Complete technical overview of UCP — the open standard enabling AI agents to shop on behalf of consumers. Covers protocol architecture, capability types, authentication flows, and how it differs from traditional ecommerce APIs.
**Tags**: ucp, technical, api, agentic-commerce

### Why We Open Sourced Our UCP Cartridge
**URL**: https://agenticstorefront.com/blog/why-we-open-sourced-ucp-cartridge.md
**Published**: January 15, 2026
**Summary**: ForkPoint open-sourced the UCP cartridge to lower the barrier for every SFCC merchant to become agent-ready, growing the agentic commerce channel ecosystem. Covers the business case for open source in commerce infrastructure.
**Tags**: open-source, ucp, sfcc, community

### Beyond UCP: Why MCP and A2A Are the Protocols Your Enterprise Needs to Know
**URL**: https://agenticstorefront.com/blog/mcp-a2a-protocols-executive-guide.md
**Published**: February 12, 2026
**Summary**: UCP handles consumer agents, but enterprise AI workflows run on MCP and A2A. Explains the three-protocol stack (UCP for consumer discovery, MCP for enterprise buyer tools, A2A for automated B2B transactions) and the right sequencing for enterprise implementation.
**Tags**: mcp, a2a, ucp, protocols, strategy, enterprise

### Adobe Commerce and Agentic Commerce: What Magento Merchants Need to Know in 2026
**URL**: https://agenticstorefront.com/blog/adobe-commerce-agentic-readiness.md
**Published**: February 14, 2026
**Summary**: Adobe Commerce does not have native UCP support and has not committed to a timeline. Explains how Adobe Commerce merchants can build agentic readiness now using the extension-based architecture, leveraging GraphQL API and PWA Studio patterns.
**Tags**: adobe-commerce, magento, strategy, platform, implementation

### Salesforce B2C Commerce Embraces Agentic Commerce: Spring '26 Innovations
**URL**: https://agenticstorefront.com/blog/salesforce-b2c-agentic-commerce-innovations.md
**Published**: February 21, 2026
**Summary**: Salesforce Spring '26 introduces native UCP integration, ChatGPT catalog feeds, Guided Shopping Agent, Agentic Boost and Bury merchandising, and Contextual Search. The most significant platform shift for B2C merchants since headless commerce.
**Tags**: salesforce-b2c, agentforce, strategy, platform, innovation

### Agentic Commerce: Visual Insights and Commentaries
**URL**: https://agenticstorefront.com/blog/agentic-commerce-infographics.md
**Published**: February 22, 2026
**Summary**: Visual analysis of three shifts reshaping commerce: (1) Google's agentic shopping platform turns the search engine into an active personal shopper executing transactions via UCP; (2) the human role shifts from browser to creative director as agents handle catalog matching; (3) e-commerce expands beyond search into four modes — Direct Search, Browsing Inspiration, Algorithmic Discovery, and Agent-assisted Action.
**Tags**: agentic-commerce, trends, infographics, ai-shopping

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## Key Pages

- [Home](https://agenticstorefront.com/) — Overview of ForkPoint's agentic commerce services and value proposition
- [About](https://agenticstorefront.com/about/) — Company history, team, and approach
- [Agent Commerce Simulation](https://agenticstorefront.com/assessment/) — Free interactive tool that simulates an AI agent's journey through your store across 4 dimensions: discoverability, protocol readiness, data quality, transaction enablement, trust signals, post-purchase, and measurement
- [Pricing](https://agenticstorefront.com/pricing/) — Full pricing and tier comparison across all services
- [Contact](https://agenticstorefront.com/contact/) — General contact information
- [Get Started](https://agenticstorefront.com/contact/get-started/) — Service-specific intake form
- [Resources](https://agenticstorefront.com/resources/) — Educational content hub
- [Open Source](https://agenticstorefront.com/resources/open-source/) — Open-source projects and contributions

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## Structured Data & Machine-Readable Endpoints

- **Services API**: https://agenticstorefront.com/data/services.json — Full service catalog with pricing, platforms, and capabilities
- **AI Plugin**: https://agenticstorefront.com/.well-known/ai-plugin.json — ChatGPT plugin manifest
- **Agent Card**: https://agenticstorefront.com/.well-known/agent.json — A2A protocol agent card
- **MCP Discovery**: https://agenticstorefront.com/.well-known/mcp/server.json — MCP server discovery
- **AI Catalog**: https://agenticstorefront.com/.well-known/ai-catalog.json — Unified AI services index
- **Sitemap**: https://agenticstorefront.com/sitemap-index.xml — XML sitemap for all pages
- **RSS Feed**: https://agenticstorefront.com/rss.xml — Blog content feed
- **ai.txt**: https://agenticstorefront.com/ai.txt — Training data consent declaration

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## Company Background

ForkPoint (formerly DWithEase) was founded in 2018 as a Salesforce Commerce Cloud implementation partner. In 2025, when Google announced the Universal Commerce Protocol, the team recognized a paradigm shift in ecommerce — the transition from search-driven to agent-driven commerce.

Drawing on deep SFCC expertise, ForkPoint built and open-sourced the first UCP cartridge for Salesforce Commerce Cloud under MIT license. This positioned the company as a pioneer in agentic commerce integration, expanding to support Shopify Plus, BigCommerce, Adobe Commerce, and headless/composable platforms across the full protocol stack (UCP, MCP, A2A).

Today, ForkPoint operates at the intersection of AI and commerce, helping brands prepare for a future where AI agents are the primary shopping interface.