What it means
Agent readiness is how well your website lets an AI agent do its job: Find the page, read it, pull out the exact answer, and act on it, whether that is citing you, booking, or buying. It measures your site from the machine's point of view rather than a human visitor's.
Why it matters
AI agents now browse, compare, and transact for people. If your site hides content behind heavy JavaScript, unlabeled buttons, or anti-bot walls, the agent fails and the user never sees you. This is the infrastructure shift Kevin covers as the Agentic Web, where agents, not human visitors, do much of the work.
Say a mid-market B2B SaaS company keeps its pricing inside an interactive widget that only renders for logged-in users. When an AI agent tries to answer "what does this tool cost," it can't extract a number, so it cites a competitor's clean pricing page instead. Expose the price as plain text and the agent cites you, turning a miss into a recommendation.
How to use this knowledge
Test your key pages the way an agent sees them: Fetch the raw HTML and check whether the answer (a price, a spec, an integration) is present as plain text rather than locked in script or images. Fix the blockers with clean semantic HTML, labeled buttons, no CAPTCHAs on informational pages, and action schema where an agent needs to transact. Start with the pages agents hit most: Pricing, integrations, security, and docs.
Growth Memo guidance
We're looking at the infrastructure of the Agentic Web and the inversion of traditional internet economics. — Growth Intelligence Brief #14
Agentic Web — the emerging web where AI agents, not people, do much of the browsing and buying.
Agentic commerce — agents transacting on a user's behalf, which raises the stakes for agent readiness.
Optimizing for ingestion — getting your data into an agent's answer instead of chasing human clicks.
Action schema — the structured markup that lets an agent run a task on your site.