Websites that agents can act on.
Agent readiness for digital products. So AI agents find your offer, understand it, and act on it.
What is the Agentic Web?
Your website is getting a second visitor. Next to humans, AI agents arrive with a goal, context, and permissions. They don't scan design, they look for your offer, conditions, prices, and the next step. Agentic Web means making your digital offer understandable and executable for these digital proxies.
Why you need it.
Visibility is no longer enough. The question is not only whether you rank on Google, but whether an agent can correctly understand, compare, and act on your offer. Those who can't lose more than reach. In eCommerce, they lose the spot in the cart.
So agents understand you, trust you, and act for you.
Agentic Web is more than optimizing copy for ChatGPT. We treat your website as a product surface with two layers: a human experience and an agentic one. In practice that means machine-readable structure, reliable data, clear actions, and permission logic. Operational, systemic, and buildable. This is exactly where design systems, AI-native delivery, and agentic AI meet.
One surface, two layers
Experience layer
What humans see and operate.
Agentic layer
What AI agents read and act on: semantics, data, actions, permissions.
System layer
Your design system as the shared context.
How we measure agent readiness
Six dimensions, each scored 0 to 100. An example profile from an audit:
What you get.
From the first check to a built agentic layer. You decide how far you go.
Agent Readiness Audit
A check of your website with a 0–100 score across six dimensions, including agent simulation.
Agent Readiness Score
Six dimensions: semantic clarity, structured information, actionability, trust, agent navigation, interface potential.
Agent simulation
Real tasks instead of purely technical checks: does an agent understand your offer, and where does it get stuck?
Content & data architecture
Machine-readable structure, Schema.org / JSON-LD, clear offer and contact flows.
Agent interface layer
API/MCP layer, action flows, permission and approval models for real agent actions.
Agentic Commerce Readiness
A dedicated module for shops: product data, variant logic, availability, checkout preparation.