AI-native lead generation. We generate, score, and sell premium leads at scale — TCPA-compliant, data-enriched, priced on outcomes. AI agents run every layer: traffic acquisition, landing pages, compliance scrubbing, lead scoring, routing, and delivery to buyers. Entire pipeline runs autonomously with software-level margins.
"The next $1T company will be a software company masquerading as a services firm."
— Sequoia Capital, "Services: The New Software" (March 2026)
The original strategy — deploying AI ops inside client companies — has a fundamental friction problem: long sales cycles, heavy onboarding, IT teams as blockers, asking companies to change how they work. Lead gen flips it completely.
Zero integration. We send leads, they pay. No system access.
Instant value. First lead = first value delivered.
Simple buying decision. "What vertical? What geo? What price?"
Transactional. If leads convert, they buy more. Period.
The managed ops platform (agent fleet, Command Center, integration factory) is what powers our lead gen internally. Once buyers trust us because the leads work, the upsell writes itself: "You're converting 4%. Top performers convert 7.8%. Want us to look at why?" That's a $12-30K/mo retainer — earned through trust, not pitched cold.
| Feature | What It Means | Why Buyers Pay Premium |
|---|---|---|
| Pre-scored against 333M profiles | Intent, demographics, conversion probability | Higher conversion rates = better ROI per lead |
| TCPA-guaranteed clean | Federal + 40 state DNC, litigators, reassigned numbers | Zero compliance risk. No lawsuits. |
| Real-time delivery | Scored + scrubbed + delivered in seconds | Speed-to-contact = #1 conversion predictor |
| Exclusive / semi-exclusive | Sold to 1–3 buyers, not 8 | Less competition = higher close rate |
| Vertical-specific qualification | Homeowner status, insurance type, injury type, etc. | No paying for leads that don't match criteria |
| Full consent audit trail | Timestamp, IP, source, opt-in method | Proof exists when challenged |
| Phase | Verticals | Lead Pricing | Why |
|---|---|---|---|
| Start (Mo 1-3) | Home Services (roofing, HVAC, gutters, solar) | $15-100 | High lead values, clear buyer market, DailyHomeowner.com owned |
| Expand (Mo 4-6) | Insurance (auto, home, health, Medicare) | $15-90 | Massive market, compliance-heavy = our advantage |
| Scale (Mo 6+) | Legal (PI, mass tort), education, financial | $30-150 | Premium pricing, data asset has deep coverage |
| Stream | Description | Margin |
|---|---|---|
| Shared leads | Sold to 2-3 buyers, $8-30 each | High volume |
| Exclusive leads | Sold to 1 buyer, $25-150 each | Premium pricing |
| Aged leads | Re-scored 30-90 day old leads, $2-20 | 95%+ (already paid for) |
| Data enrichment | Score buyer's existing database, $0.10-0.50/record | 90%+ (no media spend) |
| Compliance-as-a-service | DNC/litigator scrubbing for other lead gen companies | 90%+ |
| Cross-vertical routing | One form, multiple verticals via intent signals | Near-zero marginal cost |
| Ops optimization (Phase 2) | Help buyers convert better via our toolset | $12-30K/mo retainer |
| Stage | What Happens | AI Role |
|---|---|---|
| Traffic | Google Ads, Meta, programmatic, SEO content, email | Optimizes bids, creative, targeting, budget allocation |
| Landing Page | Vertical-specific pages on owned domains | Tests headlines, copy, form fields, layouts — continuous |
| Capture | User submits info (name, phone, email, zip + vertical fields) | Smart forms adapt fields based on vertical + qualification |
| Score | Match against 333M profiles + 5.8B signals | Intent, demographics, historical conversion, vertical affinity |
| Scrub | Federal + state DNC, litigator DBs, reassigned numbers | Real-time, every lead, no exceptions |
| Route | Match to best buyer by vertical, geo, exclusivity, capacity | Maximize revenue per lead and buyer satisfaction |
| Deliver | Real-time ping/post with full consent documentation | Sub-second delivery to buyer systems |
Pre-delivery scoring: Home services lead comes in → match against database → verified homeowner, $400K home, recent "roof repair" signals = $80 lead. Renter in apartment = $0, suppress before it costs the buyer anything.
Compliance intelligence: Phone on 3 state DNC lists → suppress. Known TCPA litigator → suppress and flag. Reassigned in last 90 days → suppress. Every suppression prevents a $500-1,500 fine.
Cross-vertical monetization: Home services lead shows auto insurance intent → route to insurance buyer too. One form, multiple revenue streams, scored against real data.
Self-improving: 1,000 leads → Buyer A converts 6%, Buyer B converts 2% → analyze difference → next month, scoring prioritizes the 6% cohort → conversion goes up → price goes up → repeat.
| Threat | Scale | What We Do | What Competitors Do |
|---|---|---|---|
| Federal DNC | 250M+ numbers | Scrub every lead | Same (table stakes) |
| State DNC (40+ states) | Varies | State-specific scrubbing | Most skip this entirely |
| TCPA litigators | ~2,000 plaintiffs | Cross-reference litigator DBs | Almost nobody does this |
| Reassigned numbers | ~100K/month | Carrier data checked | Rarely checked |
| Consent documentation | Every lead | Full audit trail | Minimal documentation |
Premium justification: "Our leads cost 20% more than commodity leads. But we've never had a TCPA claim. Can your current source say that?" This is often the single line that closes the deal.
| Vertical | Shared | Exclusive | Aged |
|---|---|---|---|
| Home Services (roofing, HVAC, gutters) | $15-30 | $40-80 | $3-8 |
| Solar | $20-40 | $50-100 | $5-10 |
| Insurance (auto, home) | $15-35 | $30-70 | $3-8 |
| Insurance (health, Medicare) | $20-40 | $40-90 | $5-12 |
| Legal (PI, mass tort) | $30-60 | $80-150 | $8-20 |
| Education | $15-25 | $30-60 | $3-6 |
| Metric | Conservative | Target | Optimized |
|---|---|---|---|
| Cost per lead (blended media + ops) | $8-12 | $5-8 | $3-5 |
| Average sell price (blended) | $25-35 | $35-50 | $50-70 |
| Gross margin per lead | 60-70% | 75-85% | 85-92% |
Jason knows the vertical from CMG. High lead values ($15-80). Clear buyer market. DailyHomeowner.com owned.
Month 1. Riley runs outreach to Modernize, EverConnect, HomeAdvisor. Volume contracts for scored, compliant leads.
Month 1. Co-sell to his voice AI clients who need lead flow. We fill the gap he doesn't cover.
Month 2. LeadsCon, Affiliate Summit contacts, CMG vendors, Berserker-era contacts. Jason closes, Riley runs sequences.
Month 4+. Sell compliance scrubbing and data enrichment as a service. They become customers, not just competitors.
| Agent | Role | Lead Gen Responsibilities |
|---|---|---|
| Sam | Dev | Build & deploy landing pages, form handling, CF Pages, ping/post integrations |
| Casey | Data | Lead pipeline (Supabase), scoring models, compliance scrubbing, routing logic, conversion tracking |
| Riley | SDR/Sales | Buyer outreach, sign lead buyers, negotiate pricing, manage buyer relationships |
| Avery | Financial | Revenue vs. media spend, ROI per channel, margin by vertical, P&L tracking |
| RJ | Orchestration | Media strategy, content/newsletter (DailyHomeowner), agent coordination, funnel optimization |
| Cost | Month 3 | Month 6 | Month 12 | Month 24 |
|---|---|---|---|---|
| Media spend (Google, Meta) | $30K | $120K | $400K | $1.2M |
| AI compute | $3K | $8K | $20K | $50K |
| Infrastructure | $2K | $5K | $12K | $30K |
| Personnel | $0 | $10K | $30K | $80K |
| Tools | $2K | $5K | $8K | $15K |
| Total costs | $37K | $148K | $470K | $1.38M |
| Net margin | 51% | 59% | 62% | 74% |
Key: Media efficiency improves as scoring models improve (lower CPA). Aged leads and cross-vertical routing add near-pure-margin revenue. Data enrichment and compliance-as-a-service are 90%+ margin with no media spend.
Existing relationships + media experience. But no data asset for scoring, no compliance beyond federal DNC, no AI-native ops. Our pitch: "Fewer, better leads that convert 2-3x and come TCPA-guaranteed."
Scale and brand. But commodity product, no scoring, compliance gaps. We can be a premium supplier AND sell direct to their contractors.
Harvest AI, Meddow, etc. automate front-end (creative, campaigns). They generate traffic. We turn traffic into qualified, compliant, scored leads. Different layer, much harder to build. Their ads train the market for us.
The managed ops platform we built (agent fleet, Command Center, integration factory, self-healing monitoring) is what powers our lead gen internally. It becomes an upsell once we have trust:
Step 1: Buyer gets consistent leads from us. Trusts us.
Step 2: We see their conversion data. "You're converting 4%. Top performers convert 7.8%."
Step 3: "Want us to connect to your Five9 and show you where leads drop off?"
Step 4: $12-30K/mo retainer for ops optimization. Buyer already trusts us. Easy yes.
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Media costs spike / CPA too high | Medium | High | Multi-channel, SEO/content organic fallback, scoring reduces waste |
| Lead quality complaints | Medium | Medium | Compliance guarantee, conversion tracking, buyer SLAs |
| Cash flow timing (media before revenue) | High (early) | High | Start small ($3-5K/mo media), reinvest revenue, CMG income as bridge |
| Competition from aggregators | High | Medium | Data scoring moat, compliance guarantee, exclusive relationships |
| TCPA regulatory changes | Medium | Medium | Already ahead of compliance — changes help us vs. competitors |
| Buyer concentration | Medium | Medium | Diversify across verticals and buyer types early |
| Jason as bottleneck | High (early) | High | Agent fleet handles operations. Jason: buyer relationships + strategy. |
| Item | Status | Owner |
|---|---|---|
| DailyHomeowner.com DNS → Cloudflare | Ready | Sam |
| Home services landing pages | Ready to build | Sam |
| Lead tables + pipeline in Supabase | Ready to build | Casey |
| Google Ads account setup + funding | Needs Jason | Jason |
| Compliance scrubbing pipeline | Architecture ready | Casey + RJ |
| First 5 home services buyers | Needs outreach | Riley |
| Media budget ($3-5K/mo to start) | Needs Jason approval | Jason |
| Scoring models (home services) | Data asset ready, needs tuning | Casey |
The Sequoia thesis: Sell the work, not the tool. Every AI improvement makes our leads cheaper to generate, better scored, and harder to compete with. The data compounds. The margins improve. The moat deepens. We don't sell lead gen software. We sell leads.