| name | distribution-engine |
| description | Builds owned distribution infrastructure for startups before and after product launch. Covers distribution-first strategy, waitlist engineering, community-led growth, earned media, co-marketing loops, AEO/GEO for AI search visibility, and content moat building. Use proactively when a founder asks about building an audience, organic growth, content strategy, SEO, LinkedIn presence, getting visibility in AI search tools, co-marketing, partnerships, or any question about distribution that isn't purely paid acquisition. Trigger for "how do I build an audience", "how do I get organic traffic", "distribution before product", "how do I get into ChatGPT results", or "how do I build a waitlist". |
| used_by | ["gtm-strategist","market-analyst"] |
Distribution Engine — Founder OS
Builds owned, earned, and compound distribution infrastructure.
"Distribution isn't something you add to your product. Distribution is your product."
Why Distribution-First Is Now Essential
Three shifts have made this a survival necessity, not optional strategy:
CAC Inflation Crisis
- Paid CPMs up 40–70% vs 2022
- SaaS CAC payback stretched from 6–12 months to 18–30+ months
- Paid ads mask weak positioning — you avoid hard conversations with real users
- Alternative: Owned channels where each interaction compounds
AI Content Multiplication
- Billions of AI-generated pages published since 2023
- Generic content marketing is now table stakes, not differentiation
- Alternative: Original data, frameworks, and insider access that AI can't replicate
Creator Economy Convergence
- Every founder is now a media company by default
- Your product can be copied. Your community can't.
- Alternative: Build distribution moats alongside product moats
The Distribution Triangle
Three interconnected vertices. Weakness in any one undermines the system.
CREDIBILITY
(Insight Assets)
/\
/ \
/ \
/ \
AUDIENCE ———— CHANNEL
(Trust Before (Owned
Transactions) Distribution)
Vertex 1: Audience-First
The Depth Test: Can you name 50 people in your target market who know your name and would take your call? If not: width without depth.
Success signals:
- People share your content without being prompted
- Prospects reference your content in sales conversations
- Industry peers engage with and amplify your work
- Competitors start copying your messaging
Owned channel benchmarks to hit:
- 30%+ of website traffic from owned channels
- Email open rates >25% (industry avg: 15–20%)
- Waitlist conversion >30% to active usage
- Community engagement without constant prompting
Vertex 2: Channel-First
Rented attention is fragile. Owned attention compounds.
| Channel Type | Example | Control | Compounds? | Build Order |
|---|
| Owned | Email list, community, podcast | Full | Yes | Priority 1 |
| Earned | Creator mentions, PR, citations | Partial | Yes | Priority 2 |
| Rented | LinkedIn followers, Twitter | None | No | Vanity |
| Paid | Ads | Temporary | No | Last resort |
Rule: Every piece of content on any rented channel should capture into an owned channel. LinkedIn post → email capture. Twitter thread → newsletter CTA.
Vertex 3: Credibility-First
Stop asking creators and communities to share your content. Become the upstream source they can't ignore.
The Creator Decision Filter (what any creator with a real audience asks):
"Will this make my audience smarter?"
Passes the filter:
- Benchmark data answering questions their audience keeps asking
- Frameworks that reorganize messy problems
- Research that contradicts what everyone assumes is true
Fails the filter:
- "Research" that's repackaged product marketing
- Frameworks that suspiciously require your product
- Data with no verifiable methodology
Playbook 1: Waitlist Engineering
Advanced Waitlist Architecture
Three-layer waitlist design:
| Layer | Mechanism | Goal |
|---|
| Core waitlist | Email capture with specific promise | Build list |
| Referral loop | "Move up the list" viral mechanic | Make list grow itself |
| Content drip | Weekly insight → keeps warm → builds anticipation | Maintain quality |
Referral loop prompt:
Help me design a viral waitlist referral mechanic for [product].
Target customer: [ICP]
Core promise to waitlist: [what they're waiting for]
Incentive I can offer: [what moves them up / what they unlock]
Design:
1. The referral mechanic (how it works)
2. The copy for the share prompt
3. The email sequence (welcome → referral ask → weekly warm-up)
4. What milestone unlocks early access
5. How to make sharing feel like status, not spam
Waitlist to Launch Conversion
Target: >30% of waitlist → active usage at launch.
Pre-launch sequence:
- T-4 weeks: Behind the scenes / build-in-public content
- T-2 weeks: "Founding member" framing + social proof from beta users
- T-1 week: Early access opens to top referrers first
- Launch: Full announcement with proof of waitlist size as social proof
Playbook 2: The Give-First Ladder (Creator/Influencer Distribution)
Progressive relationship building. Skip steps = extraction signal. Everyone can tell.
The 5 Steps
Step 1: Silent Signal
Share genuine insight assets with zero ask. No "let me know your thoughts." No collaboration mention. Pure value delivery.
Step 2: Value Remix
When they engage, offer deeper data or raw materials. Still no ask.
Step 3: Attribution Exchange
They share your content. Amplify their work. Reciprocity without transaction.
Step 4: Collaborative Creation
"We're researching X. Your perspective would make it stronger." Co-authoring, not sponsorship.
Step 5: Ongoing Partnership
Regular insight exchange. Mutual audience growth.
The Insight Asset That Gets Shared
| Asset Type | Example | Shareability |
|---|
| Benchmark data | "We analyzed 500 cold email campaigns..." | Very high |
| Contrarian framework | "Everyone says X. Here's why that's wrong..." | High |
| Proprietary research | Survey results from your ICP | Very high |
| Tool/calculator | Free tool solving a common problem | High |
| Curated database | Compiled resource list nobody else has made | Medium-high |
Playbook 3: The Co-Marketing Growth Loop
Why Co-Marketing Now
- Cold outreach response: 8–9% → 3–5%
- Partner-anchored outreach converts at 30–40% vs 1–5% cold
- Only ~12% of companies have a formal partner program = distribution arbitrage
Partner-Market Fit Scoring (1–5 each)
| Criterion | Question |
|---|
| Audience overlap | Do their customers match your ICP without direct competition? |
| Trust transfer | Do their customers trust their recommendations? |
| Execution match | Can they actually execute with you (team, processes)? |
| Mutual value | Clear benefit for both sides? |
| Integration potential | Product-level integration possible? |
Score 18+ = strong partner candidate. Proceed to outreach.
Score 12–17 = potential, validate further.
Score <12 = skip.
Co-Marketing Formats by Stage
| Stage | Best Format | Why |
|---|
| Foundation Builder | Warm intro reciprocity | Low lift, immediate trust transfer |
| PMF Seeker | Joint content (co-authored piece) | Audience reach without budget |
| Scale Prepper | Joint research report | Earned distribution at scale |
| Growth Optimizer | Integration launch + joint GTM | Product-level lock-in |
Co-Marketing Outreach Template
Subject: [Your Company] × [Their Company] — simple idea
Hi [Name],
I've been following your work on [specific topic they cover].
Your [content/product/audience] and ours overlap in an interesting way.
Our ICP: [specific]
Yours: [what you understand theirs to be]
Non-competing because: [why]
One simple idea: [joint research / webinar / integration / content piece]
Value for your audience: [specific]
Value for our audience: [specific]
Would you want to explore? Even a 20-min call to see if there's something there.
[Your name]
Playbook 4: LinkedIn GTM System
The 5 Virality Archetypes
| Archetype | Core Mechanism | Best For |
|---|
| Relatability Loop | "This happened to me too" → recognition → share | Building initial audience |
| Controversy Catalyst | Challenges conventional wisdom → debate → reach | Rapid audience growth |
| Education Engine | Teaches something genuinely useful → bookmarks → authority | Long-term credibility |
| Social Proof Cascade | Results, data, transformations → desire → pipeline | Converting audience to leads |
| Insider Access | Behind-the-scenes, raw numbers → trust → depth | Converting followers to advocates |
The POV-to-Pipeline System
1. Define Point of View
→ Contrarian, specific, defensible
→ "The conventional wisdom is X. Here's why that's wrong based on [evidence]."
2. Build Content Operations
→ Document, don't create
→ Capture insights from customer calls, experiments, data
3. Engagement System
→ Respond to every comment within 1 hour for first 60 min after post
→ POV-consistent comments on others' posts
4. Demand Architecture
→ Profile optimized for inbound (clear ICP language in headline)
→ CTA to owned channel (newsletter, community, waitlist)
5. Attribution
→ Track: post → comment → DM → meeting → opportunity
→ The goal is pipeline, not vanity metrics
Founder LinkedIn Content Calendar (2–3 hrs/month)
| Week | Post Type | Archetype |
|---|
| Week 1 | Customer story / insight | Social Proof Cascade |
| Week 2 | Contrarian take on your industry | Controversy Catalyst |
| Week 3 | Step-by-step framework / lesson | Education Engine |
| Week 4 | Build-in-public update / milestone | Insider Access |
Playbook 5: AEO/GEO — AI Search Visibility
What Gets Cited
For ChatGPT/Claude citations:
- Clear structure: headings, step-by-step blocks, numbered lists
- Schema markup on key pages
- Be the definitive answer to a specific question
- Original data and frameworks > opinion pieces
For Google AI Overviews:
- Community-validated content (Reddit, YouTube, forums)
- Fresh opinions from real practitioners
- Specific, opinionated takes outperform balanced overviews
Universal rule: Unique data gets cited. Repackaged content doesn't.
AEO Content Blueprint
Target query: [specific question your ICP asks AI tools]
Content requirements:
- Answer the question directly in first 2-3 sentences
- Provide step-by-step breakdown with clear headings
- Include data or specific examples (not just frameworks)
- Cover edge cases and "what about X?" questions
- End with your proprietary take or data
Schema to add: FAQ schema, HowTo schema where applicable
Distribution to build citations:
- Publish on your own domain (canonical source)
- Seed in relevant communities where practitioners discuss it
- Get linked from 3+ trusted sources in your space
Distribution Audit Checklist
Run this quarterly:
Owned Channels
Earned Channels
Pipeline Attribution
Integration with Other Skills
- Distribution feeds →
skills/public/gtm-strategy/SKILL.md (owned audience = reduce CAC)
- Distribution informs →
skills/public/market-research/SKILL.md (trend signals from upstream communities)
- Distribution validates →
skills/public/problem-validation/SKILL.md (community conversations = free discovery)
