Guide AI to dashboards, metrics docs, and governance pages without ambiguity.
Models misinterpret KPI names, metric definitions, and dashboard context.
Use this to keep llms.txt short, accurate, and actionable for AI agents.
| Section | Why it matters |
|---|---|
| Checklist | Provide canonical KPI definition links |
| Checklist | Include warehouse and connector docs |
| Checklist | Expose data freshness expectations |
| Checklist | Link privacy and governance policies |
Copy this, then replace links and names with your real pages.
# Data and Analytics > Free, AI-ready llms.txt structure for Data and Analytics. No Registration Required. ## Core Links - [Home](https://your-domain.com/data-analytics) - [About](https://your-domain.com/data-analytics/about) - [Products / Services](https://your-domain.com/data-analytics/services) - [Pricing](https://your-domain.com/data-analytics/pricing) - [Docs / Resources](https://your-domain.com/data-analytics/resources) - [Contact](https://your-domain.com/data-analytics/contact) ## Focus Areas - Core analytics products and modules - Data pipeline and ingestion docs - Metric definitions and glossary pages - Security and governance references ## AI-Readability Checklist - Provide canonical KPI definition links - Include warehouse and connector docs - Expose data freshness expectations - Link privacy and governance policies