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✦ Free & open sourceMarketing

GEOFlow

Open-source GEO content platform with AI quality inspection and multi-site distribution.

Open-Source GEO & AI Content Engine

Manage trusted knowledge, AI generation, and multi-site distribution in a single operational platform.

Free forever · open source · AGPL-3.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
7.5
ZEKAI
Self-hosted GEO and content platform
Free & open source · Marketing
Ease of setup4
Usefulness9
Maintenance9.5
Community7.5
★ 3,681
GITHUB
Sep 2026
UPDATED
AGPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

GEOFlow is an open-source platform designed to manage the entire generative engine optimization workflow, from trusted knowledge bases to multi-site distribution. It suits brand, growth, and content teams building enterprise websites or industry source sites.

Runs on
Web
Hosting
Self-host
Languages
PHP
License
AGPL-3.0

What it is

The platform combines knowledge management, AI content production, quality gate inspection, human review, and multi-site distribution into one system. It includes features like semantic slicing, vector recall, AI quality grading, and a Chrome extension for assisted publishing.

Who it's for

It suits content operations, brand teams, and developers needing a self-hosted engine for GEO and multi-site publishing. It does not suit teams looking for a simple plug-and-play blogging tool without technical deployment overhead.

Key features

AI Quality Gate

Inspects articles against knowledge evidence, data, citations, and advertising rules before review.

Multi-Site Distribution

Deploys content across enterprise websites, hosted channels, WordPress, and HTTP APIs.

Chrome Publishing Assistant

Pairs with browser extensions using minimal-permission tokens to handle assisted publishing.

Knowledge Slicing & RAG

Manages structured knowledge slices, semantic planning, and vector recall for AI generation.

How to start

Up and running in 3 steps

1
Clone the repository and copy the environment template to configure your deployment settings.
2
Run Docker Compose to build and start the application containers, database, and background queues.
3
Access the local web interface to complete setup and start managing your knowledge base and tasks.
Real talk

Our honest verdict

What's great

  • Tracks knowledge sources, model calls, and quality inspection evidence in a single audit trail.
  • Generates automated XML sitemaps, robots.txt rules, and llms.txt files for AI visibility.
  • Includes a browser extension for assisted human publishing without sharing external credentials.
  • Provides a signed updater utility for secure backups, environment checks, and rollbacks.

Where it falls short

  • Requires PHP 8.3+, PostgreSQL with vector support, Redis, and Docker for full operation.
  • Network requests, AI quality checks, and model integrations demand ongoing external API costs.
  • AGPL-3.0 licence imposes specific source-availability requirements if you offer modified versions as a network service.
Cost

Pricing & license

Free under the AGPL-3.0 licence, with the only financial cost coming from your own server infrastructure, database hosting, and third-party AI model API calls.

Paid work

Open remote AI-training roles

876 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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📄 Free PDF: GEOFlow for Marketing
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Questions

FAQ

What database does GEOFlow require?

It requires PostgreSQL, and using a pgvector-compatible image is recommended for semantic vector recall.

How does the Chrome publishing assistant work?

It uses device pairing and minimal-permission tokens to fetch work items and fill drafts, leaving final publication to human operators.

Can I distribute content to WordPress?

Yes, channels support hosted sites, GEOFlow Agent packages, WordPress REST, and generic HTTP APIs.

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