What question did this study set out to answer?

The research aims to create a strategic framework for enhancing corporate websites to be more effective for AI agents.

April 14, 2026Open Access

Designing for AI Agents: How Websites Become Decision Systems

Key Points

The research aims to create a strategic framework for enhancing corporate websites to be more effective for AI agents.
Developed the Three-Layer Model of Agent Readiness: Discovery, Knowledge, and Interaction.
Analyzed real-world implementations with enterprise clients.
Explored transitions from traditional SEO to agent-oriented design.
Utilized standards like llms.txt and Schema.org for optimization.
Established a framework that enhances website visibility and actionability for AI agents.
Identified key layers necessary for improving AI agent interaction with websites.
Proposed a shift in web design strategies to accommodate evolving AI technologies.

Abstract

A strategic framework for making corporate websites visible and actionable for AI agents. Introduces the Three-Layer Model of Agent Readiness: Discovery (getting found), Knowledge (getting understood), and Interaction (becoming contactable). Based on real-world implementation experience with enterprise clients. Covers llms.txt, Schema.org, MCP, and the shift from SEO to agent-oriented web architecture.

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