Guides & Whitepapers

In-depth resources for leaders and practitioners building the future of commerce.

Strategic roadmap for technical leaders preparing their infrastructure for AI agents across every channel.

How to evaluate your current stack against the 7 agentic readiness dimensions
Protocol decision framework: when to implement UCP, MCP, A2A — and in what order

126-point checklist across 4 dimensions for developers, architects, and commerce leaders.

70 evaluation points across AI discoverability, protocol readiness, data quality, and 4 more dimensions
Colour-coded scoring so you immediately see where your gaps are

Market analysis and predictions based on early agentic commerce adoption data across Google AI Mode, ChatGPT, and Perplexity.

Adoption data from 500+ enterprise brands across Google AI Mode, ChatGPT, and Perplexity
Which product categories are seeing the highest agent-driven revenue today

How to optimize your product data, structured markup, and content for AI agent discovery and recommendations.

Step-by-step structured data implementation guide (Schema.org, JSON-LD) for products and brand entities
Product feed enrichment checklist — the 12 attributes AI agents weight most heavily

Technical comparison of the three agent commerce protocols — when to use each and how they work together.

Side-by-side technical comparison: discovery mechanism, auth model, transaction flow for UCP, MCP, and A2A
Decision matrix — which protocol(s) your brand needs based on target agent channels

Why traditional SEO isn't enough, what Generative Engine Optimization means for your brand, and how to make the shift.

Why PageRank signals are irrelevant to AI agent recommendations — and what replaces them
The 6 GEO signals that determine whether your products appear in ChatGPT, Gemini, and Perplexity