When AI Shops

A keynote and interactive discussion on agentic commerce and the revolution in how we buy and sell - with cutting edge insights and practical implications that are tailored to your organization.

What it offers

A presentation that exposes the inner mechanics of agentic commerce — how AI agents search, filter, evaluate, and recommend — and what organizations must change now to stay visible, discoverable, and chosen.

AI agents are already influencing billions in purchase decisions, yet they do not evaluate products the way humans do. Instead, they rely on statistical heuristics, information-completeness rules, trust-layer weighting, and coherence scoring. This keynote gives leaders a deep understanding of the cognitive patterns that drive agentic commerce — and the concrete structural, data, and content changes required to compete in a world where discovery happens inside AI agents, not on your website.

By drawing on research from the book When AI Shops and Human Machines’ research, the keynote shows why products are recommended or rejected, how agents interpret ambiguity, and how to design “two-sided” web experiences that satisfy both human emotional resonance and machine evaluation logic. Leaders leave with a strategic playbook for earning visibility, building agent-readiness, and capturing advantage before platforms standardize the rules of AI-mediated commerce.

What’s covered

  • How AI shopping agents interpret product information. The schemas, trust layers, and evaluation sequences they use to decide what’s relevant and recommendable.

  • Agentology and the biases of AI agents. The predictable agent biases — uncertainty aversion, redundancy preference, completeness bias, and coherence pressure — that determine which products rise and which products disappear.

  • Where products get filtered out. The silent failure points: unstable data, unclear structure, missing metadata, ambiguity, and source-trust penalties.

  • Designing for the two-sided web. How to build digital experiences that are emotionally persuasive for humans and structurally intelligible for AI agents.

  • Quantum content management. How content collapses differently for humans and machines, and how to engineer both outcomes.

  • Operationalizing for agent-readiness. Systems, processes, and measurement loops for continuously tuning your product ecosystem as models evolve.

45-90 minutes in length

In person or virtual

Fee negotiable based on location and audience

The audience leaves with a clear understanding of what AI shopping is, how it’s transforming marketing and sales, and the practical steps they can take to gain mastery in it — and what their organization can do get started and start building competitive advantage rather than being left behind.

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