Preparing Websites for AI Agent Interactions
Five practical steps to optimize your site for AI agents without requiring developer expertise.
1Agentic web is already here
AI agents are actively browsing websites, completing forms, and processing documentation. Unlike human users, agents interact with web content differently, often performing tasks for both people and other agents. This creates a parallel, machine-focused web experience alongside traditional human browsing. The MozCon New York 2026 presentation highlighted how agents operate in interconnected loops, fundamentally changing web interactions.
2Transactable elements boost engagement
Adding actionable elements like forms, product pages, and booking systems makes websites more agent-friendly. These features allow both human users and their agent representatives to complete tasks rather than just consume content. The implementation requires no technical skills - simply auditing existing pages for clickable, downloadable, or purchasable elements. This approach represents the easiest starting point for agent optimization.
3Documentation as agent fuel
Clear support documentation serves dual purposes in the agentic web. Agents rely on precise instructions to assist users and communicate with other agents. Well-structured content about processes, product usage, or location details prevents agent confusion. Content teams can significantly improve agent performance by ensuring accuracy and completeness across all informational materials, without needing developer involvement.
4Accessibility equals agent readiness
Screen-reader compatible design naturally supports agent interactions. ARIA tags, structural markup, and functional search bars that aid human accessibility also enable efficient agent navigation. Websites with strong accessibility foundations are already partially optimized for agents. This alignment creates new urgency for existing accessibility initiatives, as they now serve dual human and machine audiences.
5Protocol landscape emerges
New web protocols like GEO, WebMCP, and llms.txt establish standards for agent interactions. Google introduced WebMCP at I/O 2026 to facilitate direct website-browser agent communication. These protocols provide rules for safe, consistent agent behavior while the agentic web segment develops in real-time. Implementation complexity varies, with some protocols requiring technical expertise while others are content-focused.
6GEO shapes agent perception
General Entity Optimization (GEO) determines how AI agents describe and recommend websites. Agents use base models trained on existing data, meaning current GEO efforts influence future agent behavior. A website's presence and accuracy in training data directly affects whether agents will recommend it or competitors. This creates a feedback loop where today's optimization impacts tomorrow's agent responses.
7MCP becomes essential infrastructure
Machine Communication Protocol (MCP) serves as core technology for agentic operations. Websites publishing their own MCP become integrated into agents' toolkits, enabling direct task completion. Wix's implementation allows agents to create and update websites through prompts. For SaaS products, MCP integration functions as product-led SEO, increasing visibility by enabling more solution offerings through agents.
8API audit for agent compatibility
Existing APIs need evaluation for agent interoperability rather than replacement. Companies like PayPal adapted current APIs for agent use instead of developing new protocols. This approach allows businesses to leverage existing infrastructure while making it agent-accessible. The audit process identifies which APIs can serve both human and machine users with minimal modification.
9NL Web bridges language gaps
Microsoft's NL Web project enables natural language queries against website structured data. Created by schema.org's Ramanathan Guha, it generates responses based on actual site content rather than general model knowledge. This technology repurposes existing schema markup work, meaning SEO investments do double duty for both human search and agentic discovery.
10Partner ecosystems accelerate adoption
Platforms like Wix demonstrate how partnerships enable agent readiness at scale. As an Agentic Commerce Protocol signatory, Wix integrated with Stripe and PayPal to make merchant catalogs available to agents. These collaborations allow businesses to participate in the agentic web without building everything internally. Existing dashboards should already display agentic commerce as core functionality.
11Continuous adaptation required
Agent readiness represents an ongoing practice rather than a one-time project. With weekly developments in protocols and agent capabilities, websites must maintain optimization efforts. Resources like Cloudflare's Bots Directory help track active agents, while tools like AGENTS.md provide standardized guidance for coding agents. The agentic web has already arrived in browsers, tools, and customer workflows.
Original article: Moz Blog — Preparing Websites for AI Agent Interactions