Google's web.dev guidance now advises developers to treat AI agents as a distinct audience alongside human visitors. As more users delegate goal-oriented tasks to AI, websites with complex hover states or shifting layouts may become functionally broken for these automated entities. The guide highlights that optimization for agents aligns closely with existing accessibility and semantic HTML best practices, making sites better for both humans and machines.
* Treating agents as a distinct visitor type
* How agents interpret websites via screenshots, raw HTML, and the accessibility tree
* Recommendations for using semantic HTML elements and maintaining stable layouts
* Introduction to WebMCP, a proposed web standard for agent-website interaction
* Treating agents as a distinct visitor type
* How agents interpret websites via screenshots, raw HTML, and the accessibility tree
* Recommendations for using semantic HTML elements and maintaining stable layouts
* Introduction to WebMCP, a proposed web standard for agent-website interaction
Google is introducing the Web Model Context Protocol (WebMCP) to allow AI agents to interact with websites in a more efficient and reliable way, moving away from screen scraping. This protocol enables direct communication between websites and AI models, defining website capabilities for AI access through HTML attributes or JavaScript APIs. The Early Preview Program (EPP) is being used to refine the protocol and gather data. WebMCP offers lower latency, higher accuracy, and reduced costs compared to traditional methods.
