distribution-engine

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."

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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

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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

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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

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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

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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]

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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

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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

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Distribution Audit Checklist

Run this quarterly:

Owned Channels

• Email list size and growth rate
• Email open rate vs 25% benchmark
• Community active member count
• % of traffic from owned channels (target: 30%+)

Earned Channels

• Creator/partner relationships at each step of Give-First Ladder
• Co-marketing assets live and performing
• AI search visibility (search your ICP's top questions in ChatGPT/Perplexity)

Pipeline Attribution

• % of pipeline from owned/earned channels
• CAC by channel (owned vs paid comparison)

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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)