Insights on Agentic Commerce

The 65% Problem: Why Most Retailers Aren't Ready for Agentic Commerce

The 65% Problem: Why Most Retailers Aren't Ready for Agentic Commerce

A recent Optimizely study found that 65% of retailers have taken no steps to prepare for agentic commerce. Not "made limited progress." Not "exploring options." No steps at all. Meanwhile, AI-dri ...

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GEO vs. SEO: Optimizing for AI Agent Discovery

GEO vs. SEO: Optimizing for AI Agent Discovery

Generative Engine Optimization (GEO) is the practice of making your brand and products discoverable to AI systems like ChatGPT, Google AI Mode, and Perplexity — which surface recommendations through l ...

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UCP Checkout Sessions: A Deep Dive

UCP Checkout Sessions: A Deep Dive

Checkout sessions are the core transactional mechanism in Universal Commerce Protocol. They represent the stateful journey from "add to cart" to "order confirmed"—but designed for AI agents rather tha ...

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Agentic Commerce KPIs: What to Measure and Why

Agentic Commerce KPIs: What to Measure and Why

Agentic commerce requires a new measurement framework because traditional e-commerce metrics — sessions, bounce rates, click-through rates — assume a human is browsing. The five core KPIs for agent-dr ...

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Build vs. Buy: UCP Implementation Decision Framework

The decision to build UCP implementation in-house versus partnering with specialists comes down to three factors: your team's existing protocol experience, your target go-live timeline, and your platf ...

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