Agentic Storefront by ForkPoint — AI commerce channel
Get recommended by AI assistants. Get bought by AI agents.
Agentic commerce for enterprise retail — the channel your competitors already appear in.
Buyers ask an assistant what to buy and get a shortlist. That shortlist is a sales channel you cannot yet measure. We put your brand on it, make it transactable, and report on it.
Free · No account · 199 checks · Report in under a minute
Built by the Salesforce Commerce Cloud team behind DWithEase — 12 years in the ecosystem, 25,000+ daily users, and the first open-source UCP cartridge for SFCC. Read the code →
What the channel looks like
- AI-referred retail traffic, Q1 2026
- +393%
- Conversion vs. non-AI traffic
- +54%
- U.S. agentic commerce, 2030
- $1T
- Line items on your P&L for it
- 0
Adobe Analytics, Q1 and May 2026 · McKinsey, 2025
Platforms, protocols, and payment rails we implement against
The blind spot
You cannot report on what you cannot see.
The purchase decision happens before any tracked session begins. If your brand isn’t named, there is no bounce to investigate and no campaign to blame — analytics records the absence as nothing at all.
- Impressions
-
Web channel
Reported daily
-
Agent channel
No impression exists — the model answers instead
- Ranking
-
Web channel
Tracked per keyword
-
Agent channel
One shortlist, one to three names, no page two
- Lost sessions
-
Web channel
Bounce rate, funnel drop-off
-
Agent channel
The buyer never arrives, so nothing is logged
- Competitor position
-
Web channel
Share of search
-
Agent channel
Share of answer — unmeasured by every tool you own
The free audit gives you the first number worth putting in a deck.
What we do
One practice, three P&L outcomes.
One revenue system: a recommendation is worthless if agents cannot buy, and a checkout is worthless if no model names you. We run all three.
Get recommended
Your brand should be named, described correctly, and cited when a buyer asks what to buy. We fix the signals that decide it.
Recovers demand lost before the buyer reaches you.
Get bought
A mention is worth little if the agent cannot check stock and complete the order. We make your catalogue and checkout work for agents.
Adds a channel on top of the storefront you run.
Stay ahead
Models rewrite answers weekly. We keep asking them your buyers' questions across five assistants and flag it when your position moves.
Makes the channel trendable and defensible.
The score tells you which of the three you need first.
The reporting line
What lands in the board deck.
A channel nobody can measure never gets funded. These are the numbers the engagement produces, in the same shape as your other acquisition channels. Panel cadence follows your monitoring tier; session and revenue figures start once the attribution work is live.
- Mention rate
- How often each assistant names you on the questions that matter in your category.
- Monthly, weekly from Professional
- Share of answer
- Your position against competitors in the same shortlist.
- Weekly, from Professional
- Answer accuracy
- Where models state wrong prices, products, or policies.
- Monthly, weekly from Professional
- Agent sessions
- Discovery, cart, and checkout events attributed to agent traffic.
- Continuous, once instrumented
- Agent-attributed revenue
- Orders completed through agent checkout, separated from storefront revenue.
- Continuous, once instrumented
Baseline first, spend second — the business case gets written with your numbers, not market averages.
Who you are buying from
Built by the team behind DWithEase.
25,000+ Salesforce Commerce Cloud professionals use our extension daily, and we published the first open-source UCP cartridge for SFCC — read the code before you sign anything.
- 25,000+
- Active users of DWithEase
- 12+
- Years in the SFCC ecosystem
- 4.9/5
- Chrome Web Store rating
- 1st
- Open-source UCP cartridge for SFCC (MIT)
Client results
What brands say after the engagement
ForkPoint's team understands SFCC at a level I haven't seen from other agencies. Their agentic commerce implementation was clean, well-documented, and shipped on time. We're already seeing agent-driven orders coming through.
We saw a 35% increase in search conversion rate within the first month after going agent-ready. The AI agents actually understand what customers are looking for, and our products are being recommended more accurately than ever.
Setup took less than 6 weeks. The team handled everything from discovery manifests to payment integration. No developers needed on our side — it just works. Our customers find what they want faster than ever through AI agents.
The readiness assessment identified three critical gaps in our product feed that we'd missed for years. Fixing those alone improved our SEO performance before we even got to the protocol integration. Genuinely valuable consulting.
As a Shopify Plus merchant, we assumed agentic commerce would be a simple toggle. ForkPoint helped us realize there's a massive strategy layer on top — GEO optimization, agent-friendly structured data, and checkout flow refinement. Night and day difference.
What sold us was their open-source SFCC cartridge. We could evaluate every line of code before signing anything. That level of transparency is rare in this industry. The managed services have been rock-solid since launch.
Our competitors still haven't figured out why their products don't show up in AI agent results. We're six months ahead because ForkPoint got us live before the holiday rush. The ROI conversation is already settled.
The agent-driven channel is already our third-largest revenue source after organic and paid. We went from zero to $180k in monthly agent-attributed revenue within 90 days of going agent-ready with ForkPoint.
ForkPoint's team understands SFCC at a level I haven't seen from other agencies. Their agentic commerce implementation was clean, well-documented, and shipped on time. We're already seeing agent-driven orders coming through.
We saw a 35% increase in search conversion rate within the first month after going agent-ready. The AI agents actually understand what customers are looking for, and our products are being recommended more accurately than ever.
Setup took less than 6 weeks. The team handled everything from discovery manifests to payment integration. No developers needed on our side — it just works. Our customers find what they want faster than ever through AI agents.
The readiness assessment identified three critical gaps in our product feed that we'd missed for years. Fixing those alone improved our SEO performance before we even got to the protocol integration. Genuinely valuable consulting.
As a Shopify Plus merchant, we assumed agentic commerce would be a simple toggle. ForkPoint helped us realize there's a massive strategy layer on top — GEO optimization, agent-friendly structured data, and checkout flow refinement. Night and day difference.
What sold us was their open-source SFCC cartridge. We could evaluate every line of code before signing anything. That level of transparency is rare in this industry. The managed services have been rock-solid since launch.
Our competitors still haven't figured out why their products don't show up in AI agent results. We're six months ahead because ForkPoint got us live before the holiday rush. The ROI conversation is already settled.
The agent-driven channel is already our third-largest revenue source after organic and paid. We went from zero to $180k in monthly agent-attributed revenue within 90 days of going agent-ready with ForkPoint.
Free audit
Your baseline, before anyone asks for budget.
Enter your URL. We read your storefront the way an agent does — 199 checks, scored in under a minute, fixes ranked by impact.
No account · No sales call required · Report is yours to keep
Agentic Readiness Audit
199 checks · 10 categories · under a minute
Enter your store URL and see exactly what AI agents can — and can't — read, understand, and buy from your site, with prioritized fixes.
Need it costed for a business case? The expert assessment adds a 126-point review and a roadmap. What it covers →
Engagements
Six engagements. Take them in order.
Audit, fix visibility, then open the transaction channel once the first two have paid for themselves. No long-term contracts.
Readiness Assessment
126-point expert audit across all seven dimensions, with a costed roadmap.
AI Discoverability & GEO
Structured data, feed enrichment, and the content changes that move model answers.
AI Visibility Monitoring
Prompt panels across five assistants: mention rate, accuracy, share of voice, alerts.
Protocol Implementation
UCP, ACP, A2A, and MCP wired into your platform — discovery, checkout, payments, orders.
Agentic Commerce Strategy
Channel sizing, measurement framework, and competitive intelligence before the build.
Managed Services
Protocol and feed monitoring, incident response, and continuous optimization once live.
Fixed price, not hourly. If the work runs long, that is our cost.
Latest thinking
What we publish.
Protocol detail, measurement method, and what models are actually saying about brands in your category.
Agentic Commerce
Google's Universal Cart, Explained for Brand Owners (No Jargon)
Agentic Commerce
17 of 20 AI Chatbots Leak Data to Third Parties. Here's Why Merchants Should Care
Agentic Commerce
Q4 Is Coming. AI Visibility Is the Most Underpriced Channel in Your Media Plan
Agentic Commerce
OpenAI's Product Feed: How Your Catalog Gets Into ChatGPT — and What It's Worth
Frequently Asked Questions
What is agentic commerce?
Is this just about Google's UCP protocol?
What is GEO (Generative Engine Optimization)?
How do I know what AI models currently say about my brand?
How long does it take to become agent-ready?
What does this cost?
Can't we just wait for our platform to add native support?
Is the open-source SFCC cartridge production-ready?
Do you work with agencies on a white-label basis?
Next step
Get the baseline. Decide after.
Free, under a minute, and it produces a number you can take into a budget conversation. Everything after is optional.
No account · No long-term contracts