Metigy \Australia

Step 2 (Validation): Onboard the first 10 customers manually (white-glove service) to validate the workflow. Use Supabase to store customer data (business name, industry, location, brand voice, competitors). Build an Inngest workflow that: (1) Generates 5 posts/week using Claude (mix of educational, promotional, and seasonal content), (2) Creates graphics using Replicate (Flux model with brand colors), (3) Schedules posts via Meta Graph API and Google Business Profile API, (4) Monitors review sites and auto-generates responses (Claude API), (5) Runs a $500/mo Google Ads campaign (auto-optimized via Google Ads API), and (6) Sends a weekly email report (Resend) with metrics (impressions, clicks, leads, ROI). Manually QA every post for the first 30 days to tune prompts. Goal: Achieve 90% customer satisfaction (NPS 50+), prove that AI-generated content performs as well as human-created (track engagement rates vs. industry benchmarks). Charge $500/mo per customer. Target: $5K MRR by Month 3.

Step 3 (Growth): Productize the service and scale to 100 customers. Build a self-serve onboarding flow: customer signs up, completes a 10-minute questionnaire (business info, brand voice, goals), and the AI auto-generates the first week of content for approval. Add a Slack integration so customers can give feedback ('Make this post more casual,' 'Focus on emergency services this week'). Launch a referral program: customers get 1 month free for every referral (viral loop). Partner with 5 local business consultants and offer 50% revenue share (they sell, you fulfill). Build a white-label version for franchise systems (e.g., Neighborly's 30 brands, 5,000 locations)—charge $200/location/mo, franchise HQ pays. Add usage-based pricing: $500/mo base + 10% of ad spend (aligns incentives). Goal: 100 customers by Month 9 ($50K MRR), 50% from direct, 30% from consultants, 20% from franchise pilot.

Step 4 (Moat): Build the DATA FLYWHEEL. As LocalAI manages more businesses in a vertical (e.g., 500 HVAC contractors), the AI learns: (a) Which post formats drive the most leads (e.g., 'before/after' photos vs. educational videos), (b) Optimal posting times by geography (e.g., Phoenix HVAC posts perform best at 6 AM and 7 PM), (c) Seasonal campaign templates (e.g., 'Spring AC tune-up' campaigns that convert at 8% vs. industry avg of 3%), and (d) Competitive intelligence (e.g., 'Your competitor just launched a $2K furnace rebate—here's a counter-offer'). Store this data in Supabase and use it to auto-improve campaigns. Launch a 'LocalAI Benchmark Report' (free, gated content) that shows industry-specific metrics—this becomes an SEO magnet and lead gen tool. Add a marketplace: local photographers, videographers, and copywriters can offer services to LocalAI customers (take 20% commission). Expand to adjacent verticals (legal, real estate, gyms). Goal: 500 customers by Month 18 ($250K MRR), 70% gross margin, path to $3M ARR by Year 3. Exit via acquisition by HomeAdvisor, Yelp, or a franchise system.