Shopify Native B2B Is Now on Every Plan, How AI Agents Discover Wholesale Products Differently Than Retail
By Steve Merrill | April 24, 2026
Shopify just made a move that matters more than most merchants have registered: native B2B has are now available on every Shopify plan. Not just Plus. Every plan.
That's a big deal for the mechanics of the platform.How AI agents discover wholesale products is fundamentally different from how they discover retail products. And most DTC brands now running both channels have no idea their B2B catalog is invisible to the AI buyers shopping for it.
What Did Shopify Actually Change?
Shopify announced in April 2026 that native B2B has are available to all merchants, regardless of plan tier. This includes:
- Company profiles for wholesale buyers
- B2B-specific pricing and custom catalogs
- Net payment terms and volume pricing
- Wholesale order management without third-party apps
Previously, any of this required Shopify Plus ($2,000/month+) or a patchwork of third-party wholesale apps. Now it's built in. That means a wave of small and mid-size Shopify stores will activate wholesale selling for the first time. Most won't think twice about AI visibility while doing it.
They should.
How AI Agents Discover Wholesale vs Retail Products
Think about what a B2B buyer actually asks an AI. They're not asking "what's a good backpack?" They're asking: "Find me a leather goods supplier who can do 500 units with 30-day net terms and deliver to a 3PL in California."
That's a completely different query pattern. And it requires completely different data to answer it.
Retail AI discovery queries:
- Product has and benefits
- Customer reviews and social proof
- Price comparison and availability
- Use case fit and lifestyle match
B2B AI discovery queries:
- Minimum order quantities (MOQ)
- Volume pricing tiers
- Lead times and production capacity
- Payment terms and B2B eligibility
- Private label or customization options
If your product data only carries retail attributes, AI agents running procurement queries can't match your products, even if you sell wholesale. The data to answer their questions simply isn't there.
What AI Tools Are B2B Buyers Using?
This is worth knowing because it's different from your DTC audience. B2B buyers increasingly use Claude for business tasks, Copilot for Enterprise (Microsoft's B2B AI layer), and specialized procurement AI tools from platforms like Faire, Alibaba, and newer entrants. ChatGPT is used in B2B contexts too, but the dominant tools differ.
Each of these has slightly different data requirements, but they share one common need: structured product data that explicitly addresses B2B purchase parameters.
What to Fix in Your Product Data for B2B AI Visibility
Add wholesale-specific schema markup. Your Offer schema should include priceSpecification with minOrderValue (your MOQ minimum), eligibleQuantity, and priceType noting wholesale pricing. If you offer net terms, that belongs in your Organization schema as a paymentAccepted value.
Add a wholesale/B2B section to your product descriptions. A separate block labeled "Wholesale Availability" with your MOQ, lead times, customization options, and contact method for B2B inquiry gives AI agents text content to parse for wholesale queries.
Create a B2B-specific page on your site. A dedicated page at /wholesale or /b2b with structured Organization and Offer data gives AI agents a reliable landing point for B2B queries.
Update your llms.txt. If you now support wholesale, your llms.txt should include your B2B catalog endpoint and policy page explicitly. Agents read this file to understand what your site offers before diving into product pages.
The Bigger Picture
Shopify opening B2B to all merchants is a genuine access point. Thousands of stores that could have been doing wholesale are now going to start. Most will onboard the backend has and call it done.
The ones that also update their AI-facing data, schema, descriptions, llms.txt, dedicated B2B pages, will show up in the AI discovery channels where B2B buyers are increasingly doing their sourcing research. The ones that don't will have a functioning B2B backend with no front-door traffic from the channels where buyers are actually looking.
That gap is entirely fixable. And the window to close it before the competition catches up is now.
