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Welcome to the GEOFlow Wiki.

GEOFlow is an open-source system for GEO content engineering, AI-search-ready publishing, and automated content operations. It is not just a CMS and not just an AI writing tool. It is closer to a content operating system that connects models, materials, tasks, review, publishing, frontend delivery, and Skill / CLI / API collaboration into one workflow.

This wiki is meant to answer six questions:

• What GEOFlow actually is
• Which teams and scenarios it fits
• What its methodology is
• What its content boundaries and operating principles are
• How it should be deployed and adopted
• Where it is heading next

Recommended reading order:

1. What Is GEOFlow
2. GEOFlow Methodology
3. Principles and Content Boundaries
4. Use Cases
5. Deployment Patterns by Scenario
6. Core Capabilities
7. Recommended Adoption Path
8. Skill / CLI / API Ecosystem
9. Roadmap
10. Author and Project
11. Getting Started
12. FAQ
13. Deployment Checklist
14. Theme and Template Workflow
15. Model Setup Guide

If there is one line that best describes GEOFlow:

It turns knowledge assets, AI content generation, review, publishing, and frontend presentation into an engineered operating workflow.

Its current strengths include:

• Multi-model integration
• chat / embedding model types and provider URL adaptation
• Centralized material libraries
• author library, knowledge chunks, and vectorization status preview
• Task scheduling, queueing, and worker execution
• Draft, review, and publish workflows
• Search- and AI-citation-ready frontend output
• GFM Markdown article rendering and legacy image path normalization
• Theme preview and activation
• admin i18n, GitHub version update reminders, and admin account management
• Skill / CLI / API collaboration

The system is meant to amplify the value of real knowledge assets, not to amplify noise.