New in v18.14.0

Is Your Site Ready for AI Agents?

AI agents navigate your site the same way screen readers do. Sites built for accessibility are sites AI agents navigate effortlessly.

Audit, benchmark, and fix your AI-friendliness with CBrowser's full toolkit.

Detection Functions

Audit Pillars

WebMCP Tiers

A-F

Grade Scale

Patches

Code Fixes

What is AI-Friendliness?

AI-Friendliness measures how easily AI agents can navigate and use your website. It combines accessibility, semantic HTML, and machine-readable metadata.

Same Principles as A11y

ARIA labels, semantic HTML, and keyboard navigation help humans and AI alike

Agent-First Design

Structure your site so AI can complete tasks on behalf of users

Machine-Readable Docs

llms.txt, JSON-LD, and OpenGraph give agents context humans get visually

Agent Personas

Different AI agents navigate your site in different ways. Test with multiple persona types for broad coverage.

Retrieval Agent

Strategy: text

Extracts text content for RAG systems and knowledge bases

Use case: Content extraction, research

Task Completion Agent

Strategy: aria

Completes multi-step workflows using ARIA labels and semantic HTML

Use case: Forms, checkout, auth

Crawl Agent

Strategy: css

Maps site structure and finds content using CSS selectors and links

Use case: Site mapping, SEO

Conversational Agent

Strategy: text

Powers chat interfaces by reading and navigating site content

Use case: Chatbot, support

Five Pillars of AI-Friendliness

A full toolkit for auditing, benchmarking, and improving your site's AI-friendliness. Now includes MCP server readiness.

17 checks

Agent-Ready Audit

17 detection functions across 4 categories. Score your site from A to F.

Learn more

3 tools

llms.txt Ecosystem

Generate, validate, and diff llms.txt files for machine-readable instructions.

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Multi-site

AI Benchmark

Compare your AI-friendliness against competitors. Find gaps and advantages.

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Code patches

Remediation Engine

Get actionable code patches with before/after comparisons and effort scoring.

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NEW6 tiers

WebMCP Readiness

Grade your MCP server for Claude in Chrome compatibility with 6-tier evaluation.

Learn more

Traditional vs AI-Friendly Sites

See the concrete differences that make a site navigable by AI agents.

Aspect	Traditional	AI-Friendly	Impact
Button Labels	`"Submit", "Click Here", "Go"`	`"Add to Cart", "Sign In", "Download Report"`	Agents understand intent
Form Inputs	`Placeholder-only labels`	`Proper <label> associations`	Agents can fill forms
Custom Dropdowns	`Div-based with click handlers`	`ARIA combobox pattern`	Keyboard + agent navigable
Metadata	`Missing or minimal`	`JSON-LD, OpenGraph, llms.txt`	Rich context for agents
Navigation	`JavaScript-only routing`	`Semantic nav + breadcrumbs`	Agents understand hierarchy
Error States	`Visual cues only`	`aria-invalid + live regions`	Agents detect failures

Quick Start

Get started with three simple commands.

# Audit your site's AI-friendliness

npx cbrowser agent-ready-audit https://your-site.com

# Generate an llms.txt file

npx cbrowser llms-txt generate https://your-site.com

# Benchmark against competitors

npx cbrowser ai-benchmark https://your-site.com https://competitor1.com https://competitor2.com

Ready to Make Your Site AI-Friendly?

Start with an Agent-Ready Audit to see your current score. Then use the remediation engine to fix issues with code patches.

Run an Audit Read the Docs