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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, Enterprise Knowledge, materials, tasks, review, publishing, analytics, GEOFlow Agent / WordPress REST / Generic HTTP API distribution, and Skill / CLI / API collaboration into one workflow.

Current stable release: GEOFlow v3.1.0, paired with Updater v0.4.0, published on September 9, 2026. Existing installations should follow the 3.1 upgrade guide.

Repository documentation center (Chinese) · Changelog

Matching dual-architecture images and the signed update source are public, and all 11 official candidate acceptance jobs passed. The 3.0.0 to 3.1.0 upgrade and initial blue/green conversion require a maintenance window. Enrolled older sites first upgrade Updater, then confirm the maintenance plan through the host CLI.

Blue/green deployment and automatic migrations · Chinese tutorial: signed installation, enrollment, planned updates, backups, and recovery. Check the tutorial’s release prerequisites before running the workflow.

UI Preview

Analytics	Site Settings	Admin Dashboard
		Task Management
	AI Model Configuration	Materials

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

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, Enterprise Knowledge draft generation, 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, activation, live editing, and theme packages
• Distribution Management, GEOFlow Agent target-site packages, WordPress REST channels, and Generic HTTP API 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.