{
    "version": "1.5.0",
    "item": {
        "id": "blog_v100",
        "title": "How AI Agents Navigate the Web: Preparing Your Website",
        "url": "https://www.dbeta.co.uk/blog/how-ai-agents-navigate-the-web.html",
        "summary": "AI agents navigate websites through the accessibility tree and, increasingly, through tools exposed via the Model Context Protocol (MCP). Websites that are machine-legible, with clear structure and accessible markup, are easier for agents to use and trust.",
        "category": "AI Visibility",
        "image": "https://dbeta.b-cdn.net/blog/how-ai-agents-navigate-web-architecture.jpg",
        "author": {
            "name": "Donatas Tranauskis",
            "url": "https://www.donatastranauskis.com"
        },
        "published_at": "2026-02-13T15:00:00+00:00",
        "updated_at": "2026-03-30T11:20:00+00:00",
        "faqs": [
            {
                "question": "How do AI agents browse the web?",
                "answer": "AI agents use a hybrid model. They don't just 'click' like humans; they use the browser's Accessibility Tree to understand interface roles, the Model Context Protocol (MCP) to access tools directly, and Agent-to-Agent protocols to coordinate complex tasks."
            },
            {
                "question": "Why is semantic HTML important for AI agents?",
                "answer": "Semantic HTML helps build the Accessibility Tree, which is the primary map agents use to understand your website. Proper tags (like <article>, <button>, and <nav>) allow an agent to identify page components without guessing, making your site more reliable for automated actions."
            },
            {
                "question": "What is the Model Context Protocol (MCP)?",
                "answer": "MCP is an open standard that lets AI applications securely connect to external data sources and tools. For businesses, exposing data through an MCP server makes it easier for agents (like Claude or ChatGPT) to use your services without relying on brittle web scraping."
            },
            {
                "question": "How can I protect my website from malicious AI agents?",
                "answer": "As agents gain the ability to take actions, security becomes paramount. Trust is built through clear permission models, governed endpoints, and protection against 'Prompt Injection'—where malicious content on a page tries to hijack the agent's instructions."
            }
        ],
        "sources": [
            {
                "label": "Anthropic - Model Context Protocol",
                "url": "https://modelcontextprotocol.io"
            },
            {
                "label": "W3C - Community Group AI Representation",
                "url": "https://www.w3.org/community/"
            },
            {
                "label": "OpenAI - Computer-Using Agent Documentation",
                "url": "https://platform.openai.com/docs/guides/computer-use"
            },
            {
                "label": "WCAG - Labels and Instructions",
                "url": "https://www.w3.org/WAI/WCAG22/Understanding/labels-or-instructions.html"
            }
        ]
    }
}