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Agentic Accessibility Checker
Lighthouse for AI Agents. Audit your Agent-Ready Score (ARS) using 5-pillar analysis. Features structural classification (Docs, E-com, SaaS), Shadow-Markdown simulation (SNR), Semantic Desync detection, and full browser rendering. Ensure your site is discovery-ready for the agentic web.
The ultimate Lighthouse for AI Agents. Evaluates your website's Agent-Ready Score (ARS) to ensure it is optimized for the agentic web.
99.7% of websites are invisible to AI agents. They struggle with deep DOMs, lack of machine-specific context, and semantic ambiguity. This actor audits your site and provides a prioritized roadmap to agentic readiness.
🚀 Core Features
- 5-Pillar Analysis: Visibility, Semantics, Operability, Governance, and Agent-UX.
- Structural Classification: Automatically detects site type (Docs, E-Commerce, SaaS, Blog) and applies context-aware scoring.
- Agent-UX simulation: Generates a "Shadow-Markdown" view and measures Signal-to-Noise Ratio (SNR).
- Semantic Desync Detection: Cross-references Schema.org metadata against visible text to ensure consistency.
- Full Browser Mode: Uses Playwright to analyze executed JavaScript, DOM expansion, and content density.
📊 The 5 Pillars
1. Visibility (30%)
Can agents find you? Checks for llms.txt, ai.txt, and AI-specific robots.txt directives.
2. Semantics (25%)
Can agents understand you? Validates HTML5 landmarks, heading hierarchy, and token efficiency.
3. Operability (15%)
Can agents act? Detects MCP endpoints, OpenAPI specs, and Schema.org Actions.
4. Governance (15%)
Is access safe? Scans for prompt injection risks (hidden text), date/currency ambiguity, and training permissions.
5. Agent-UX (15%)
Is your content "Agent-Friendly"? Measures Markdown bloat and Semantic Integrity (metadata vs text alignment).
🛠 How to Use
Input
| Field | Type | Default | Description |
|---|---|---|---|
url | string | required | The website URL to analyze |
lightMode | boolean | true | Use HTTP-only checks (fast). Set to false for full JS rendering. |
includeRecommendations | boolean | true | Include actionable fix suggestions. |
Running locally
📈 Use Cases
- SEO Agencies: Audit client sites for AI/AEO (Answer Engine Optimization) visibility.
- Developers: Verify that documentation is high-quality for LLM context windows.
- E-Commerce: Ensure shopping agents can accurately parse products and pricing.
- SaaS: Confirm that API discovery protocols (OpenAPI, MCP) are correctly exposed.
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