How We Built 13 Brands Across 4 Countries with a 2-Person Team
In January 2025, BP Corp operated 3 lead generation brands in France. By December 2025, we operated 13 brands across 4 countries (France, Hungary, UK, US) covering 9 verticals—with the same 2-person team.
This is the technical case study of how we scaled brand deployment 4x without hiring, using AI automation for every stage from domain selection to launch.
The Starting Point: 3 Brands, Manual Processes
Q4 2024 State
- Brands: PapaPrevoit (FR), MamanPrevoit (FR), GestionOpti (FR)
- Verticals: Life insurance, income protection, wealth management
- Traffic: ~5,000 organic visits/month
- Lead volume: ~100 leads/month
- Team: 2 people (technical founder + marketing)
Brand Launch Timeline (Manual Process)
- Week 1: Domain research, purchase, DNS setup
- Week 2-3: Webflow site build from template, copy writing
- Week 4: Form integration, analytics setup, testing
- Week 5-6: Content creation (10 articles), SEO optimization
- Week 7: Launch, debugging, performance monitoring
Total time per brand: 7 weeks (175 hours)
At this pace, scaling to 13 brands would take 91 weeks (nearly 2 years) and require 2,275 total hours.
The Problem: Linear Scaling Doesn't Work
To hit BP Corp's 2025 target (10+ brands, 1,000+ leads/month), the math was brutal:
- Time required: 7 weeks × 10 new brands = 70 weeks
- Content required: 10 articles × 10 brands = 100 articles (each taking 3-4 hours to write)
- Maintenance overhead: 13 brands × 2 hours/week monitoring = 26 hours/week ongoing
With a 2-person team working 40 hours/week each, this was mathematically impossible without changing the equation.
The solution: AI-native workflows that reduce brand launch time from 7 weeks to 48 hours.
The AI-Powered Brand Launch Workflow
We rebuilt the entire brand creation process around AI automation. Here's the before/after breakdown:
Phase 1: Brand Conception (7 days → 2 hours)
Before (manual):
- Research target vertical and country market (8 hours)
- Brainstorm brand names (4 hours)
- Check domain availability manually (3 hours)
- Purchase domain, configure DNS (1 hour)
After (AI-powered):
- Input vertical + target country into BrandArchitect
- AI analyzes market: search volume, competitor landscape, keyword opportunities
- AI generates 20 brand name options with domain availability check
- Select name, one-click domain purchase + DNS config via Vercel
Time saved: 14 hours → 2 hours (86% reduction)
Example: GondosApa (Hungarian renovation brand)
- Input: "Home renovation vertical, Hungarian market, targeting 35-55 year old homeowners"
- AI output: 20 brand names, market analysis, keyword map
- Selected: GondosApa ("Caring Dad"), domain available, purchased in 2 clicks
- Total time: 1.5 hours
Phase 2: Brand Identity (7 days → 3 hours)
Before (manual):
- Design logo in Figma (4 hours)
- Define color palette and typography (2 hours)
- Write brand messaging and positioning (6 hours)
- Create visual assets (4 hours)
After (AI-powered):
- BrandArchitect generates brand identity: color palette, typography, logo concepts
- Flux generates logo variations (4 options, 2 minutes each)
- Claude writes brand messaging: tagline, value props, tone guidelines
- Review and approve
Time saved: 16 hours → 3 hours (81% reduction)
Example: TheSmartDad (US brand)
- AI-generated tagline: "Financial planning made simple for modern dads"
- Color palette: Navy (#1A365D), orange accent (#ED8936), neutral gray
- Logo: Minimalist icon + wordmark, 4 variations in 8 minutes
- Messaging: 3 value props, 5 headline options, tone guide
- Total time: 2.5 hours
Phase 3: Site Build (14 days → 6 hours)
Before (manual):
- Webflow template customization (12 hours)
- Page copywriting (8 hours per page × 3 pages = 24 hours)
- Form setup and PULSE integration (4 hours)
- Analytics and tracking setup (3 hours)
After (AI-powered):
- BrandArchitect generates Next.js site from template
- AI writes copy for landing page, about page, contact page (5 minutes per page)
- Automatic PULSE integration via environment variables
- One-click Vercel deploy with analytics pre-configured
Time saved: 43 hours → 6 hours (86% reduction)
Example: DadPlans (UK brand)
- Landing page: Hero, benefits, social proof, FAQ, CTA (AI-generated in 8 minutes)
- Forms: 3-step lead capture form auto-connected to PULSE API
- Analytics: Vercel Analytics + Google Search Console auto-configured
- Deploy: Push to Git, Vercel auto-deploys
- Total time: 5 hours (mostly review/editing)
Phase 4: Content Creation (30 days → 8 hours)
Before (manual):
- Keyword research in SurferSEO (2 hours)
- Article outlining (1 hour per article)
- Article writing (3 hours per article × 10 articles = 30 hours)
- SEO optimization and publishing (1 hour per article)
After (AI-powered via ORBIT):
- Input vertical keywords into ORBIT
- AI generates content calendar: 20 article topics with keyword clusters
- Select 10 articles for launch
- AI generates each article: research, outline, 2,000-word content, SEO optimization (8 minutes per article)
- Review, edit, publish
Time saved: 50 hours → 8 hours (84% reduction)
Example: MomPlans (UK brand)
- 20 article topics generated in 3 minutes
- 10 articles written in 80 minutes (8 min each)
- Manual review/editing: 5 hours
- Published directly to site via ORBIT
- Total time: 6 hours
Full SEO automation details in our case study →
Phase 5: Launch & Monitoring (7 days → 30 minutes)
Before (manual):
- QA testing across devices (4 hours)
- Performance optimization (3 hours)
- Form submission testing (2 hours)
- Set up monitoring dashboards (2 hours)
After (AI-powered):
- Automated QA via Vercel pre-deploy checks
- Performance optimization via Next.js defaults
- PULSE integration tested automatically
- Monitoring: Vercel Analytics + Supabase dashboard
Time saved: 11 hours → 30 minutes (95% reduction)
Total Time Savings Per Brand
| Phase | Before | After | Savings |
|---|---|---|---|
| Conception | 16h | 2h | 88% |
| Identity | 16h | 3h | 81% |
| Site Build | 43h | 6h | 86% |
| Content | 50h | 8h | 84% |
| Launch | 11h | 0.5h | 95% |
| Total | 136h | 19.5h | 86% |
Brand launch time: 7 weeks → 48 hours
The 13-Brand Portfolio: Results
Geographic Distribution
France (6 brands):
- PapaPrevoit (life insurance)
- MamanPrevoit (life insurance)
- GestionOpti (wealth management)
- SecurHome (home security)
- SolarOpti (solar installation)
- RenoPlus (home renovation)
Hungary (2 brands):
- GondosApa (home renovation)
- GondosAnya (family finance)
UK (3 brands):
- DadPlans (income protection)
- MomPlans (life insurance)
- SecureHomeUK (home security)
US (2 brands):
- TheSmartDad (wealth management)
- TheSmartMom (career change)
Vertical Distribution
- Life insurance: 3 brands
- Income protection: 2 brands
- Home renovation: 2 brands
- Wealth management: 2 brands
- Home security: 2 brands
- Solar: 1 brand
- Career change: 1 brand
Traffic Growth (Jan 2025 → Dec 2025)
- Jan 2025: 5,000 visits/month (3 brands)
- Jun 2025: 22,000 visits/month (8 brands)
- Dec 2025: 50,000+ visits/month (13 brands)
Average per brand: 3,800 visits/month Best performer: PapaPrevoit (12,000 visits/month)
Lead Generation (2025 Total)
- Total leads: 14,200 across all brands
- Average per brand: 1,092 leads/year
- Monthly run rate (Dec 2025): 1,400 leads/month
- Conversion rate: 2.8% (visits to leads)
Content Output
- Total articles published: 900+
- Average per brand: 69 articles
- Ranking articles (top 10): 340 articles (38%)
- Publishing velocity: 75 articles/month peak (Oct 2025)
See how we generated 900+ SEO articles →
What We Learned: Scaling Principles
1. AI Native > AI Assisted
Early brands (PapaPrevoit, MamanPrevoit) used AI as an assistant—ChatGPT for brainstorming, Claude for editing. Later brands (GondosApa, TheSmartDad) were AI-native—every step automated via GENESIS modules.
AI-assisted: Human defines process, AI helps execute AI-native: AI defines and executes process, human reviews
The shift from assisted to native reduced launch time from 5 weeks to 48 hours.
2. Templates Defeat Creativity (Usually)
Every brand uses the same Next.js template, same funnel structure, same form flow. Only variables: brand name, colors, copy, vertical.
Early instinct: "Each brand should feel unique!" Reality: Template consistency means faster launches, easier maintenance, predictable performance.
Unique brand identity comes from messaging and content, not site architecture.
3. Launch Fast, Optimize Later
Traditional approach: Perfect the brand before launch (logo iterations, copywriting revisions, A/B testing).
AI approach: Launch in 48 hours with "good enough" everything, then optimize based on real data.
Example: GondosApa launched with AI-generated copy, no manual editing. After 30 days, we analyzed which pages converted, rewrote only those. Time saved: 12 hours pre-launch, 2 hours post-launch optimization.
4. Cross-Brand Intelligence
With 13 brands in the same database, patterns emerge:
- Top-performing article formats: "How to [goal] in [timeframe]" outperforms "What is [concept]" by 3x traffic
- Best CTAs: "Get Your Free Quote" outperforms "Learn More" by 2.1x conversion
- Optimal funnel length: 3-step forms convert 28% better than 1-step forms
These insights propagate across all new brands instantly. Brand 13 launched with learnings from Brands 1-12 built-in.
5. The 48-Hour Launch Window
Why 48 hours specifically?
- Hour 0-6: Conception, identity, domain setup
- Hour 6-18: Site build, PULSE integration, deploy
- Hour 18-42: Content creation (10 articles via ORBIT)
- Hour 42-48: Final QA, launch, monitoring setup
This creates a forcing function: No time to overthink, no scope creep. Launch, learn, iterate.
The Economic Model
Cost Per Brand
- Domain: $12/year
- Vercel hosting: $0 (Hobby tier) to $20/month (Pro tier shared across all brands)
- GENESIS platform: $0 (internal tool)
- AI API costs (content generation): ~$40 first month, ~$15/month ongoing
- Time cost (19.5 hours @ $100/hour): $1,950
Total launch cost: ~$2,000 Ongoing monthly cost: ~$15-20 per brand
Revenue Per Brand (Lead Generation Model)
- Average lead value: $25-80 (depending on vertical)
- Monthly leads: 50-200 per brand
- Monthly revenue: $1,250-16,000 per brand
Payback period: 0.1-1.6 months
Portfolio Economics (13 Brands)
- Setup cost: $2,000 × 13 = $26,000
- Monthly revenue (conservative): $16,250 (13 brands × $1,250 avg)
- Monthly costs: $260 (hosting + AI APIs + lead distribution)
- Net monthly profit: $15,990
- Annual profit: $191,880
This is with a 2-person team and the most conservative lead value estimates.
Replicability: Can You Do This?
You need:
- Technical capability: Next.js, Supabase, Vercel deployment knowledge
- AI platform access: Claude/GPT-4 API keys, or build GENESIS-equivalent
- Domain expertise: Understanding of your target verticals
- Lead distribution system: PULSE or equivalent (HubSpot, Zapier, custom)
- Time: 48 hours per brand (not 7 weeks)
You don't need:
- Design skills (AI handles brand identity)
- Copywriting background (AI writes 90% of copy)
- Large team (2 people sufficient)
- Big budget ($2,000 per brand)
The Playbook
- Build or adopt an AI-native brand creation system (see launch playbook →)
- Start with 1 brand in 1 market—validate the model
- Replicate into adjacent verticals (if life insurance works, try income protection)
- Expand geographically (same vertical, new country/language)
- Systematize everything (consolidate your stack →)
What's Next: 20 Brands in 2026
The 2026 target: 20 brands across 6 countries, adding Spain and Germany.
Why it's achievable:
- Launch infrastructure is built (GENESIS)
- Templates are proven (13 existing brands)
- Cross-brand intelligence is compounding
- Lead distribution is automated (PULSE)
The constraint is no longer execution time—it's market research and strategic positioning.
Ready to scale your brand portfolio with AI? See how GENESIS reduces launch time from 7 weeks to 48 hours. View pricing →