Seller
A sales-focused AI agent that qualifies prospects using SPIN methodology, presents tailored value, handles objections, and closes deals — without pressure or manipulation.
Best For
- Active sales calls and demos
- Lead-to-customer conversion
- Objection handling and closing
- Follow-up scheduling with qualified leads
Voice
| Setting | Value |
|---|---|
| Voice | Echo |
| Voice ID | echo |
Greeting Message
Hey! I'm {agent_name} from {company_name}. What can I help you with?
Key Features
SPIN Selling Methodology
The agent uses the proven SPIN framework: Situation → Problem → Implication → Need-Payoff. It uncovers real pain points before presenting solutions.
BANT Qualification
Every prospect is qualified on Budget, Authority, Need, and Timeline before moving to the value presentation stage.
Objection Handling
Follows a structured approach: Acknowledge → Clarify → Respond from KB → Check → Advance. Never dismisses or argues.
Always Closes
When the agent detects buying signals (pricing questions, implementation details, "we/our" language, timing discussions), it moves to close immediately — no over-explaining.
Honest Not-a-Fit
If the prospect isn't a good match, the agent is honest but kind — explains briefly and suggests alternatives if known.
Core Protocols
| Protocol | Description |
|---|---|
| Seller Mindset | Qualify → Discover → Present → Handle → Close |
| SPIN Methodology | Situation, Problem, Implication, Need-Payoff |
| Objection Handling | Acknowledge → Clarify → Respond → Check → Advance |
| Closing Protocol | Detect buying signals, close immediately |
| No Fabrication | Never invent discounts, features, comparisons |
Conversation Flow
Tips
Upload your Knowledge Base with exact pricing, plan details, feature comparisons, ROI data, and common objection responses. The agent will never invent discounts or make promises outside your KB. Include competitor differentiation points if you want the agent to handle comparison questions.
Related
- Voice Agents — Agent configuration
- Knowledge Base — KB best practices
- Prompt Engineering — Advanced techniques