AI2Web provides an interoperability layer for AI-enabled websites, allowing them to work with any AI from a single place. It simplifies the process of exposing website capabilities through various AI protocols such as MCP, ACP, REST, and GraphQL, ensuring future compatibility. By describing website capabilities once, AI2Web automatically generates the necessary formats, eliminating the need for per-assistant rebuilds. This approach prevents the fragmentation seen with search engine webmaster tools, offering a unified layer for AI protocols. Key features include:

• A single capability manifest for content, commerce, actions, events, and authentication.
• Automatic generation of MCP, ACP, REST, GraphQL, OpenAPI, and feeds from a single source of truth.
• Backend-first and API-driven design for immediate compatibility with AI connectors.
• Support for various stacks including TypeScript, plain JavaScript, React, PHP, Python, Go, .NET, and WordPress.
• A focus on sustainability by reducing compute and energy waste associated with AI scraping full web pages.
• Centralized management for AI presence, including configuration, validation, monitoring, and recommendations.
• Secure handling of transactions, with user approval required for high-risk actions like purchases and refunds.
• A capability model that serves as the foundation for the framework, discovery network, and analytics.
• A live Discovery Network for agents to find and interact with AI-ready websites.
• Complements existing protocols rather than competing, abstracting them behind a common capability model.

AI2Web is open source with MIT-licensed code and CC-BY 4.0 licensed specifications, fostering community contribution. It offers SDKs for various languages and a web component for easy integration into any HTML page. The platform also includes an AI Readiness Validator to score website compatibility with AI agents. Optional commercial offerings include hosted endpoints, capability analytics, and enterprise features.