Web protocols and standards for AI agents
Google's Agent-to-Agent (A2A) protocol defines how AI agents communicate with each other. Discover what this means for your website and how you can prepare.
AI models assess website trustworthiness partly based on technical security signals. Discover which HTTP security headers you need to implement to build trust.
HTTPS and HSTS are more than security measures. They are trust signals that AI models factor in when evaluating your website as a reliable source.
AI agents need standardized authentication to communicate securely with your website. Learn how OAuth discovery and Protected Resource metadata make this possible.
Your robots.txt determines whether AI bots can read your content. Learn how to correctly configure GPTBot, ClaudeBot and other AI crawlers for maximum visibility.
The Model Context Protocol (MCP) is the new standard that allows AI agents to use tools and data from your website. Learn how MCP works and how to prepare your website.
The llms.txt file tells AI models what your website has to offer. Learn how to create, structure and validate it for maximum AI visibility.