Brick 1
Framework-as-Diagnostic Overlay
Greg's 7-tactic framework overlaid on Yuri's current infra: | Tactic | Greg's framework says | We have | Verdict | |---|---|---|---| | 1. MCP server as sales team | Publish to Smithery/MCPT/OpenTools for $0 CAC discovery | Zero — neither BizBuilder/KPDD nor Solacian have an MCP server | **REAL GAP** — but applicability depends on whether the product answers a queryable question; Solacian (Maze-dissolving AI) plausibly does, KPDD (PMF discovery) plausibly does | | 2. Programmatic SEO at 10K-page scale | Next.js + Firecrawl + AI content for "best X for Y" patterns | Zero programmatic pages; KPDD/Solacian don't have SEO surface | **REAL GAP** for both; needs a keyword pattern decision before any code | | 3. Free tool as top of funnel | Grader/analyzer/calculator, instant value, share-driven loop | KPDD itself is arguably a discovery tool but is gated by signup, not free-tool-grade | **PARTIAL GAP** — KPDD could expose a free analyzer slice; Solacian could expose a free "Maze diagnostic" | | 4. AEO (Answer Engine Optimization) | Top-20 questions + FAQ schema + monitoring via Otterly/Profound | Zero structured FAQ surface on either product site | **REAL GAP** for bo…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 2
Strategy 2: Programmatic SEO (10,000 Pages)
The thesis: create 10,000 SEO pages in 48 hours via keyword patterns + structured data + AI-generated unique content. Math model: - 10,000 pages × 30 visits/month each = 300,000 monthly visitors - 2% conversion = 6,000 conversions/month - $10 each = **$60,000/month from pages built once** - Caveat: 30 visits/month doesn't happen overnight; SEO compounds over time Critical: content must not feel like AI. Lots of optimization needed. Start with a few pages, scale once quality is right. "Press one button" myth is rejected explicitly. Playbook (start this week): 1. Pick a keyword pattern: `[product type] for [niche]` or `[service] in [city]`. Examples: "CRM for dentists", "roofing in Miami" 2. Build dataset via Firecrawl (scrapes + clean structured data) or existing databases 3. Create page template in your framework: Next.js, Webflow, WordPress — pick what you use 4. Use AI to generate unique paragraphs per page (not variable swaps; high-quality content) 5. Human-in-the-loop editing on a sample 6. Publish 100 pages as MVP 7. Monitor indexation 8. Scale once indexed Applies to: services, SaaS, apps, boring businesses, agencies. Programmatic SEO is still under-tapped.
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 3
Strategy 4: Answer Engine Optimization (AEO)
The thesis: be the source AI cites. Old SEO (30,000-word blog posts, backlink building, keyword stuffing) is declining; zero-click searches growing. AEO in 2026 = SEO in 2010. First movers will own niches for years. Goal: get cited by ChatGPT and Perplexity via structured direct answers, FAQ format, schema markup, comparison tables that AI can parse. Evidence: Peter Levels' AI referrals jumped from 4% to 20% in one month. Expected to keep increasing across e-commerce, SaaS, apps. Playbook (start this week): 1. Google the top 20 questions your customer asks 2. Write definitive structured answers for each — NOT 3,000-word fluff. Clear, direct, citation-worthy 3. Add schema markup and FAQ blocks 4. Publish on a domain with authority (or build authority through other strategies) 5. Monitor citations via Otterly, Profound, or manual testing Why Peter Levels wins faster: domain authority compounded over time. No better moment to start building authority than now.
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 4
B040 — Single-field signup + visible queue position + refer-to-skip mechanic
Single-field signup + visible queue position + refer-to-skip mechanic. 55% of waitlists have no growth mechanics — massive missed opportunity. **Tool candidates:** Custom landing page + Supabase, or referral SaaS (T124 Rewardful).
Source: _reference/bricks/README.md
Brick 5
Connections
- relates-to: [[../knowledge-env/synthesized/greg-isenberg-30-step-ai-saas-playbook.md]] — same author; 30-step playbook covers full SaaS build, this inject focuses on distribution layer only - relates-to: [[../knowledge-env/synthesized/perf-marketing-playbook.md]] — extends with bootstrap-first tactics for $0 budget - relates-to: [[../knowledge-env/synthesized/gtm-engineering-flows-combined.md]] — Cody Schneider's autonomous loops are a paid-traffic complement to Greg's organic-first stack - relates-to: [[../knowledge-env/synthesized/dickerson-vibe-marketing-system-one-sitting.md]] — vibe marketing parallel; Dickerson is one-sitting setup, Greg is 7 ongoing channels - relates-to: [[../knowledge-env/synthesized/marketing-machine-10-parallel-agents.md]] — orchestrator pattern useful for Strategy 7 implementation - supports: [[../knowledge-env/synthesized/ai-native-perf-marketing-bottleneck-reframe.md]] — AI-native distribution thesis - bridges(#work -> #content): all 7 tactics produce both user acquisition AND content artifacts; the engine doesn't separate them - bridges(#work -> #phd): "distribution is the new moat" + MCP discovery is empirical evidence for AI-N…
Source: src/lib/bricks/sources/greg-isenberg-bootstrap-distribution.md
Brick 6
B043 — Record your process → transcribe → that's the lead magnet
Record your process → transcribe → that's the lead magnet. **Note:** Manual by design — requires founder's attention. Cut-adjacent for platform.
Source: _reference/bricks/README.md
Brick 7
Flow 1: SEO Content Machine
Research keywords -> scrape page-1 -> write with perspective -> publish via CMS API -> track GSC -> optimize -> batch all keywords.
Source: src/lib/bricks/sources/gtm-engineering-flows-combined.md