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fgeo — Generative Engine Optimization CLI. AI-powered content asset management and multi-platform distribution.

Project description

fgeo

Generative Engine Optimization CLI for AI-assisted go-to-market work.

fgeo helps product builders turn product knowledge into a managed content system: projects, goals, plans, platforms, content assets, and publishing tasks all live in one local registry.

Quick Start

pip install fgeo

fgeo init
fgeo enable copilot

fgeo project create fcontext --desc "AI context manager"
fgeo goal add fcontext "Help developers understand fcontext"
fgeo platform add fcontext devto --directions "tutorial,architecture" --pace "2/month"
fgeo plan create fcontext cold-start --strategy "Developer community launch"
fgeo plan assign fcontext cold-start devto --direction tutorial --target 3

fgeo content register docs/first-post.md \
  --project fcontext \
  --platform devto \
  --plan cold-start \
  --direction tutorial \
  --type article \
  --status draft

fgeo status fcontext

What fgeo Manages

Project -> Goal -> Plan -> Platform -> Content -> Publish Task
  • Project: a product, personal IP, or campaign target.
  • Goal: what success looks like.
  • Plan: the go-to-market strategy and target counts.
  • Platform: a distribution channel with its own directions and cadence.
  • Content: one platform-native content asset.
  • Publish task: the handoff between draft content and live distribution.

Supported Agent Integrations

fgeo enable <agent> writes fgeo instructions into each agent's native location and also enables fcontext for the same workspace.

Supported agents:

copilot, claude, cursor, trae, qwen, kiro, opencode, openclaw, zed, pi, antigravity, and codex.

Documentation

The full documentation site is built with MkDocs:

pip install -e ".[dev]"
mkdocs serve

Docs source lives in docs/.

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