GenieOS

GenieOS is an agentic marketing platform built for marketers and AI agents alike. It solves the problem of fragmented campaign creation, distribution, and measurement by providing a unified workspace where you can brief, create, publish, and analyze marketing assets. Whether you work directly in the platform's Studio or connect through MCP, REST API, CLI, or SDKs, GenieOS keeps every output on brand and on message.

What Makes GenieOS Stand Out

• Dual interface: Choose the Studio for hands-on marketing or the MCP server for AI-driven execution.
• Full campaign loop: Brief, create, publish, and measure across email, social, and web pages from a single system.
• Agent-ready via MCP: Let AI agents call GenieOS directly, enabling autonomous content workflows without leaving your existing editor.
• Brand consistency: Reinforces brand guidelines automatically, requiring minimal design effort.
• Developer-friendly: Includes REST API, CLI, and typed SDKs for deep integration.

Who Should Use GenieOS

• Marketers who need to produce on-brand campaigns quickly without a dedicated design team.
• AI and automation specialists who want to give agents the ability to generate, launch, and measure marketing assets.
• Agencies and content teams that manage multiple client campaigns and need a centralized, consistent workflow.

Frequently Asked Questions

What is GenieOS?

GenieOS is an agentic marketing platform that provides both a studio for marketers and an MCP server, API, and SDKs for AI agents. It covers the entire marketing loop from briefing and content creation to publishing and measurement.

How does GenieOS work?

You can either use the visual Studio to launch campaigns by typing a brief, or connect AI agents via MCP to execute marketing tasks programmatically. The platform handles email, social media, and web pages, ensuring brand consistency throughout.

Can I integrate GenieOS with my existing tools?

Yes, GenieOS offers a REST API, CLI, and typed SDKs, and supports Model Context Protocol (MCP) for direct integration with AI assistants and other systems.