White-Label AI Setter Platform Review
What It Is
A white-label SaaS platform for agencies that automates speed-to-lead instant conversion and follow-up from paid traffic (Meta/Google ads). When a lead opts in, an AI agent instantly books them into appointments via conversational SMS.
Tech Stack
- Python workflows (backend)
- Supabase (database)
- ShadCN + Lucide icons (UI framework)
- OpenRouter API (bring your own key for AI models)
- Signal House or Twilio for SMS
- Resend for email
Key Features
Setter Configuration:
- Define services, pricing, booking style, and tone per client
- Outreach templates (static, not AI-generated) — same as GHL drip
- Follow-up templates with dynamic variables from funnel data
- Message splitting for human-like behavior
- Typo sprinkling in messages
- Random reply time delays
Conversation AI:
- Human-like conversational booking via SMS
- Persistent chat memory across sessions
- Context-aware responses based on lead source and funnel data
- Post-appointment conversation awareness
- Proactive follow-ups (not just reactive)
Auto-Reactivation:
- Automatically reactivates cold leads after configurable period (e.g., 45 days)
- No specialized campaigns needed
Missed Call Text-Back:
- Auto-responds to missed calls
- Adds to follow-up cadence automatically
Testing & Simulation:
- Automated testing simulator with configurable lead personas
- Set persona traits: age, location, objection type, personality
- Simulate multiple conversations simultaneously
- AI analyzes bot performance against setter instructions
- Sandbox for manual testing with appointment preconditions
- Per-message AI analysis showing system context, decision config, and reasoning
Analytics Dashboard:
- Lead volume and sources
- Booking performance (AI vs human booked)
- Call logs, sentiment, and transcripts
- AI workflow execution errors
- Outreach campaign performance
- Billing/cost breakdowns
- Real-time AI cost tracking with margin analysis
Billing:
- Trial mode, AI direct booking, AI assisted, manual, flat booking, or retainer models
- Per-client billing configuration
- Data exportable — clients own their data
Pricing Model
- Client limit-based pricing (like GHL)
- Agencies bring their own API keys
- All data exportable (key selling point for technical agencies)
Real Results
- One client at $1,100/month on pay-per-booking model (3x revenue increase)
- Client had 5 people calling leads but average 4+ days to first contact
- AI agent supplemented with instant response
Feedback/Improvements Needed
- UI is overwhelming — too many tabs, settings, and configurations visible
- Needs interactive onboarding widget to walk through features
- Some buttons look disabled due to styling blending with background
- Hide advanced features behind progressive disclosure
- Target ICP: GHL agencies doing lead gen for local service businesses
Key Insight
"You can't rely on clients calling their leads. You're going to realize that very soon. My client has 5 people calling but somehow the average is multiple days."