Agent-Friendly Website

Simple Definition

An agent-friendly website is one that’s structured so AI agents can easily read, understand, and interact with it. As more AI tools browse and act on websites on behalf of users, the design and structure of your site starts to matter in new ways.

Why Websites Need to Think About Agents

Traditionally, websites were designed for human visitors. Now, a growing number of interactions come from:

AI search crawlers reading your content for AI Overviews
Browser agents navigating sites to complete user tasks
Research agents pulling information for summaries and reports
Shopping agents comparing prices and availability

If your site is hard for AI to parse, it may be skipped or misread.

What Makes a Site Agent-Friendly

Clean HTML structure: logical use of headings, lists, and semantic tags
Clear navigation: menus and links that are easy to identify and follow
Text-based content: important information in text, not locked inside images
Accurate page titles and metadata: helps agents understand what a page is about
Accessible design: many agent-friendly practices overlap with accessibility best practices
Minimal unnecessary popups: modals and overlays can confuse agent navigation
Clear calls-to-action: if you want agents (or humans) to do something, make the path obvious

The llms.txt Convention

A growing convention is to add an llms.txt file to your site, a simple text file that tells AI systems what your site is about and where to find key pages. It’s similar to robots.txt but intended for LLM and agent use.

Browser Agent, agents that navigate websites
AI Agent, the broader category of agents that interact with websites
Model Context Protocol, a protocol that helps AI tools connect to external services including websites