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Welcome to the GEOFlow Wiki.

GEOFlow is an open-source system for GEO content engineering, AI-search-ready publishing, multi-site distribution, 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, knowledge bases, materials, tasks, review, publishing, analytics, GEOFlow Agent / WordPress REST distribution, and Skill / CLI / API collaboration into one workflow.

UI Preview

Admin Dashboard	Analytics	Task Management
Distribution Channel	Materials	AI Model Configuration
Site Settings

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, distributed, 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. Model Setup Guide
8. Knowledge Chunking and RAG
9. Distribution Management and Target Sites
10. Analytics and Logs
11. Recommended Adoption Path
12. Skill / CLI / API Ecosystem
13. Roadmap
14. Author and Project
15. Getting Started
16. FAQ
17. Deployment Guide
18. Deployment Scripts Guide
19. Deployment Checklist
20. Theme and Template Workflow

If there is one line that best describes GEOFlow:

It turns knowledge assets, AI content generation, review, publishing, analytics, multi-site distribution, and automation into an engineered operating workflow.

Its current strengths include:

• Multi-model integration with OpenAI-compatible providers and native Gemini endpoints
• chat / embedding model types, provider URL adaptation, and connection tests
• Centralized material libraries
• author libraries, semantic knowledge chunk planning, and vectorization status preview
• Task scheduling, queueing, and worker execution
• Draft, review, and publish workflows, including local / channel / local-plus-channel publication scope
• Search- and AI-citation-ready frontend output
• GFM Markdown article rendering and legacy image path normalization
• Theme preview and activation
• Distribution Management, GEOFlow Agent target-site packages, and WordPress REST channels
• Static homepages, article pages, sitemap, llms.txt, and TXT map generation
• Analytics for system overview, single-site operations, multi-site distribution, access logs, and AI crawlers
• 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.