AI Disclosure Analysis
LLMSE analyzes websites for AI transparency compliance, detecting AI disclosure statements, AI usage policies, and chatbot labeling. Checks are conditional: issues are only raised when AI or chatbot technology is detected on the page. Sites with no AI footprint score 100/A.
AI Disclosure Grading
Every classified website with detected AI/chatbot technology receives an AI Disclosure grade:
What We Detect
Three categories of AI disclosure signals are analyzed:
/ai-policy, /ai-usage, /ai-transparency)
aria-label, title, or visible text near widget containers
Scoring Logic
Deduction-based scoring starts at 100 points. Issues are only raised when AI/chatbot technology is detected:
Full Reports via MCP & API
Get detailed AI disclosure reports with detected signals and recommendations:
MCP Server
Use the analyze_ai_disclosure tool through your AI assistant:
"Check AI disclosure for https://example.com"
Set up via the LLMSE Public MCP server.
REST API
Call the AI Disclosure endpoint directly:
GET /api/v1/ai-disclosure?url=https://example.com
See full parameters and response schema in the interactive API docs.
Browse by AI Disclosure Grade
Filter classified websites by their AI Disclosure grade:
EU AI Act Context
The EU AI Act (effective August 2, 2026) requires transparency obligations for AI systems, including disclosure of AI-generated content and clear labeling of AI interactions. This analyzer helps assess readiness for these requirements by detecting existing disclosure practices on websites.
LLMSE detects 23 chatbot/AI technologies including Intercom, Drift, ChatGPT Widget, Dialogflow, and more. The language dimension enables natural filtering for EU markets (German, French, Spanish, Dutch, Italian, etc.).
Learn More
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- GARM Brand Safety — Brand suitability scoring
- Privacy Compliance — GDPR/CCPA privacy posture