Run Marketing Campaigns End to End With AI Agents

Runs your full marketing operation as connected agents instead of switching between disconnected tools. Because agents share context and hand off work between stages, your campaigns stay coordinated from strategy through conversion optimization instead of losing intent at each tool boundary.

Once installed via plugin or npm, you interact through slash commands that route to specialized agents. 1. Plan campaigns with the Attraction Specialist and Brainstormer using /campaign:plan or /research:market. 2. Create content (blog, email, landing pages) with the Copywriter using /content:good, /content:landing, /content:email. 3. Optimize conversion with the Conversion Optimizer using /cro:page, /cro:form, /cro:signup. 4. Analyze results and iterate with analytics commands. Output: end-to-end campaigns where strategy, content, and optimization stay connected across the entire funnel.

Each campaign builds faster because agents accumulate context from previous campaigns (templates, personas, brand voice, competitive intel), compressing project setup from 40 hours to 10 hours by the 10th campaign.

Requires Node.js for npm install path. Works with any AI assistant supporting agents and slash commands (Claude Code, Cursor, GitHub Copilot, Cline, Windsurf). Agents are Markdown-based and framework-agnostic, so they port to other platforms. MCP integrations are optional and provide real data from SensorTower, Google Search Console, Semrush, DataForSEO, Meta Ads, and HubSpot.

Training and documentation are in English and 10 other languages, but some skill depth varies by language. The agents and commands work best when you give them rich context (campaign brief, brand voice doc, target personas) rather than bare requests. MCP integrations (Google Analytics, HubSpot, Semrush) require API keys and account setup.