Agent Readiness

Your website speaks to humans. Can AI systems interpret it reliably?

WebMCP is emerging, but most readiness work is still about structured data, machine-readable access, permissions, and clear interaction flows. We help you prepare without overclaiming what the web can do today.

Why this matters now

Browser-native agent protocols are emerging, but mainstream production support is still early
Readiness today is mostly about structured data, machine-readable access, permissions, and well-bounded interaction paths
AI systems are increasingly being asked to browse, compare, shortlist, and route users toward decisions
Sites without clear machine-readable structure are harder for AI systems to interpret and use reliably

Agent Readiness Audit

A focused 1-2 week assessment of how AI systems can discover, interpret, and safely interact with your site today. We score the current state, map gaps, and deliver a prioritized implementation roadmap.

Current-state readiness score with detailed breakdown
Structured data, robots, and machine-readable surface audit
Emerging agent-interface recommendations, including WebMCP where relevant
Prioritized implementation roadmap

Implementation Sprint

We improve the machine-readable surfaces around your site: structured schemas, controlled interaction paths, security review, and the monitoring needed to see what AI systems can actually do.

Structured data and machine-readable surface implementation
Controlled interaction-path design with security review
Agent interaction monitoring and analytics
Rollout, validation, and next-step recommendations

Agentic CRO Retainer

Ongoing optimization of how AI systems and assisted-browsing flows interact with your site. We track what is actually discoverable, test constrained improvements, and adapt as standards mature.