Seller Genius AI
Automating Real Estate Sales Calls with AI Voice Agents

Seller Genius AI helps solo realtors and small brokerages eliminate manual cold calling by using AI-powered voice agents to qualify leads, book appointments, and follow up automatically, at scale.
Key Outcomes
- 1–2 hours saved per agent per day
- 15–35% increase in booked appointments
- 10–30% reduction in lost leads
- Early-stage predictable SaaS revenue ($99–$299 / agent / month)
Quick Facts
- Industry: Real Estate / PropTech
- Platform: Web-based SaaS (Multi-tenant)
- Users: Solo Realtors & Small Brokerages
- Core Tech: AI Voice Agents, Workflow Automation
- Stackup Services: Product Strategy, AI Architecture, Full-Stack Development, Integrations
Background
Real estate professionals live and die by speed of follow-up. Yet most solo agents and small brokerages still rely on manual cold calling, spreadsheets, CRMs, or virtual assistants to manage outbound sales, resulting in missed calls, inconsistent follow-ups, and lost opportunities.
Seller Genius AI was created to solve this gap with a fully automated AI voice calling platform that works around the clock, qualifies leads consistently, and books appointments without human intervention.
The Challenge
Business Challenges
- Low daily call throughput per agent
- Missed follow-ups leading to lost deals
- Inconsistent lead qualification across agents
- High cost of virtual assistants and manual dialing
Operational Pain Points
- No centralized system to track calls, leads, and appointments
- Manual scheduling and calendar coordination
- Poor visibility into call outcomes and performance metrics
Technical Challenges
- Building reliable outbound AI calling at scale
- Managing call state transitions and retries
- Preventing AI hallucinations during live conversations
- Handling time zones, working hours, and compliance constraints
The Solution
Stackup Solutions designed and built Seller Genius AI as a multi-tenant, production-grade SaaS platform centered around AI voice automation and intelligent workflows.
Architecture & Tech Stack
- Frontend: React.js + Tailwind CSS
- Backend: Node.js
- Database: PostgreSQL
- Hosting & Infra: AWS
- Voice Calling: SignalWire
- AI / LLM: GPT-4 for transcript summarization
- Payments: Stripe (subscriptions + invoices)
- Calendar: Google Calendar (OAuth-based sync)
SignalWire was chosen based on client preference and call reliability, while GPT-4 powers structured, readable call summaries stored directly in the database.
AI Voice Agent Design
Each user configures a personalized AI agent during onboarding:
- Agent name and greeting message
- Tone of voice (professional, friendly, empathetic, etc.)
- Working hours (weekday + weekend logic)
- Buying and selling preferences
The AI agent operates using a hybrid rules + AI model, ensuring:
- Script consistency
- Controlled responses
- Reduced hallucinations through strict prompting and temperature controls
Lead Management & Automation
- Manual lead entry via a 2-step structured form
- Bulk lead import via Excel templates
-
Lead types supported:
- Buyer
- Seller
- Investor
- Rich contextual data fed into AI calls for accurate conversations
- Once added, leads automatically enter the AI call workflow
AI-Powered Call Flow
- Lead added → status set to Pending
- Cron job checks pending calls every minute
- Call moves to Active and is placed via SignalWire
- Status updates in real time (Answered, Not Answered, Failed, etc.)
- GPT-4 generates a concise transcript summary
-
If an appointment is agreed:
- Event is automatically created in Google Calendar
- Full call history, transcript, and outcomes stored and visible in the dashboard
- Unanswered calls trigger automated follow-ups and retries, ensuring no lead falls through the cracks
Dashboard & Analytics
Users get a centralized dashboard with:
- Total leads
- Conversion rate
- Appointments booked
- Scheduled calls
- Monthly lead trends
Additional modules include:
- Call History with transcripts and rescheduling
- Appointments with calendar views and status tracking
- Subscription & Usage Management
- Profile, Agent, Buying & Selling Settings
An internal Admin Dashboard allows platform operators to monitor users, usage, subscriptions, and system health.
Implementation Process
Stackup Solutions handled the project end-to-end:
Product & Workflow Design
- Defined AI call flows, lead schemas, and onboarding logic
AI Architecture & Prompt Engineering
- Built safe, controlled AI conversations
- Implemented GPT-4 summarization pipelines
Full-Stack Development
- Multi-tenant SaaS architecture
- Real-time call state management
Integrations
- SignalWire for voice
- Stripe for subscriptions
- Google Calendar for appointments
Scalability & Reliability
- Queue-based call concurrency
- Cron-driven automation
- Usage tracking and billing alignment
Results & Impact
Operational Efficiency
- 1–2 hours saved per agent per day
- 20–40 hours saved per month per agent
Sales Performance
- 15–35% increase in booked appointments
- 10–30% fewer lost leads
Business Impact
- Early-stage predictable SaaS revenue
- Paying customers across solo agents and small brokerages
- 5–15% trial-to-paid conversion rate
- Clear path to break-even at ~100 paying agents
Qualitative Wins
- AI never misses follow-ups
- Consistent qualification across all leads
- Agents focus on closing, not dialing
“Seller Genius AI replaced hours of manual calling every day and made our follow-up process consistent and predictable.”
— Early Adopter (Real Estate Agent)
Why It Matters
Seller Genius AI demonstrates how AI voice agents can be production-ready, safe, and revenue-generating when paired with the right architecture and workflows.
For Stackup Solutions, this project showcases deep expertise in:
- AI-driven automation
- SaaS product engineering
- Real-world LLM deployment
- Complex third-party integrations
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