Ramp just launched Agent Cards in beta. AI agents get a tokenized credit card with spending limits and approval workflows set by the human. Mastercard and Google are building verification standards for AI agent transactions. Stripe’s been running an Agentic Commerce Protocol with OpenAI for six months.
Stripe’s top finding: the number one factor in whether your product shows up in agent recommendations is having structured, machine-readable product data. Not your brand. Not your marketing. Your data.
Meanwhile most B2B products aren’t even close to ready. Half don’t publish pricing publicly. The other half hide behind “contact sales.” That works when a human is browsing your site. AI agents don’t fill out forms. They evaluate based on what they can find, and if they can’t find structured info you get dropped from the shortlist entirely.
The other thing: agents don’t fall for behavioral pricing tricks. Charm pricing, anchor pricing, the “most popular” badge. None of that works on a system evaluating options rationally.
What agents want instead: complete transparency, structured documentation, customizable scope, budget caps, and performance data. Basically the opposite of how most products present themselves today.
How far off do you think we are from AI agents making actual purchasing decisions? And is anyone here already thinking about making their product “agent-readable”?
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