Agentic GTM is the go-to-market discipline organized around the reality that buyer agents (not human buyers) now drive the research, evaluation, and shortlisting phase of B2B purchasing.

Agent-to-agent commerce is commerce executed between a buyer's AI agent and a seller's AI agent. Research, negotiation, contracting, and transaction handled machine-to-machine, with human sign-off only where it materially matters.

An agent-native company is a B2B business architected from the ground up for the Agentic Web. Every customer-facing surface is designed first for AI agent consumption and second for humans.

Dynamic Agent Optimization (DAO) is the continuous, real-time practice of detecting AI agents on owned surfaces and serving them structured, governed, on-message answers. Distinct from static AEO/GEO.

A B2B company is agent-ready when its content, infrastructure, and data are structured so that an AI agent visiting the site can extract accurate, complete, and current information without ambiguity.

Agent Experience (AX) is the discipline of designing how a company is perceived, evaluated, and acted on by AI agents. Analogous to UX for human users, but optimized for non-human visitors.

The Agentic Web is the era of the internet where most evaluation, research, and decision-making traffic comes from AI agents acting on behalf of humans, not humans browsing directly.

Buyer agents are AI systems dispatched by human buyers to research, evaluate, and shortlist B2B vendors. They now drive the majority of pre-sales activity on B2B websites.

Understand the challenges posed by the Agentic Web.