Distribution-first marketing strategies for AI-era startups. Clone into any project directory and let an LLM agent auto-generate and execute a marketing plan from the codebase.
cd your-startup-project/
git clone https://github.com/fayerman-source/startup-growth-playbook.git marketing/Then tell your LLM agent:
Read
marketing/AGENT.mdand follow the protocol.
The agent will:
- Discover — scan your codebase to understand the product, niche, and audience
- Select — pick the best 2-3 strategies from the playbook
- Plan — generate a tailored
plan.mdwith real tasks and metrics - Execute — produce marketing artifacts (content, SEO pages, outreach, etc.)
- Handoff — when the next step requires app-code changes or live rollout, generate an implementation-ready handoff instead of endlessly expanding docs
No manual setup. No forms to fill in. The protocol bootstraps from your code.
| File | Purpose |
|---|---|
AGENT.md |
Self-bootstrapping protocol — the agent reads this first |
playbook.md |
8 distribution strategies with implementation steps and agent tasks |
startup-template.md |
Plan structure (used by the agent, not by you) |
- MCP Servers — let AI assistants sell for you
- Programmatic SEO — generate thousands of keyword-targeted pages
- Free Tool — build a grader/calculator as top-of-funnel
- Answer Engine Optimization — be the source ChatGPT and Perplexity cite
- Viral Artifacts — make product outputs shareable
- Newsletter Acquisition — buy an audience for $5-20K instead of building from zero
- Content Repurposing — one pillar piece becomes 50+ across channels
- Parallel Instagram Reels Content Engine — high-volume meme-remix short-form video across parallel Instagram accounts for consumer mobile apps (5-6 month grind; credit: Caleb Dean / Runify, via Superwall Podcast; primary-source analysis in research/runify-content-engine-analysis.md)
The agent commits marketing artifacts to subdirectories:
marketing/
plan.md — tailored marketing plan (auto-generated)
content/ — tweets, LinkedIn posts, newsletters, blog posts
seo/ — keyword research, page templates, generated pages
tools/ — free tool specs or source code
outreach/ — newsletter targets, DM templates
aeo/ — FAQ content, schema markup
artifacts/ — viral artifact designs, share copy
By default, this playbook is designed to generate and organize marketing work inside marketing/.
If the next valuable step requires:
- publishing pages in the real app
- wiring homepage or product UX changes
- implementing share flows
- adding analytics
- submitting sitemaps or checking live behavior
the agent should switch from content generation to an implementation handoff unless the user explicitly asks it to modify the product code.
Strategies 1-7 are derived from Greg Isenberg's Startup Ideas Podcast. Strategy 8 is informed by Caleb Dean's public account of Runify, including the Superwall Podcast with Joseph Choy.
MIT
