How Growth Autopilot Works
Understand the Growth Autopilot pipeline: Collect, Generate, Queue, Publish.
Growth Autopilot uses an AI agent pipeline to turn your product context into published marketing content. Here's what happens at each stage.
The Pipeline
1. Collect
The agent gathers raw materials β the ingredients for content generation:
- Web search β Industry news, trending topics, relevant articles
- Competitor monitoring β Product updates, content they publish, pricing changes
- Your codebase β Feature changes, release notes, technical decisions (via MCP)
Materials are stored and tagged so the agent can reference them across multiple content generations.
2. Generate
Using collected materials and your product context, the agent generates content for each active channel. Key points:
- Each channel has a persona β formatting rules, tone guidelines, and content patterns specific to that platform
- Content is generated in batches per channel, not cross-posted
- The agent uses frontier AI for writing, grounded in live research
- Credits are consumed per piece: Pro gets 50/month, Growth gets 100/month
3. Queue
Generated content enters a review queue on your web dashboard. The queue shows:
- Target channel and content type
- Full preview of the content
- Source materials used
This is where you spend your 5 minutes per day.
4. Publish
After review, content moves to publishing:
- Manual β You copy/paste or use the dashboard to publish
- Auto-publish (Growth plan) β Connected accounts (X, LinkedIn) publish automatically at optimized times
Only approved content is ever published. The AI never posts without your explicit approval.
AI Technology
VibeCom uses frontier AI models for reasoning and content generation, combined with live web search for research grounding. The MCP connection lets the agent access your codebase context directly.
What's Next?
- β Feature details and plan comparison
- β Step-by-step setup guide
- β Deep dive into the generate stage