What problem does it solve?
Selling AI products into enterprises fails when teams misread buyer objections, choose scary positioning like "autonomous", or misprice variable-usage AI. This Skill provides field-tested GTM frameworks for AI products, covering objection handling, positioning, pricing, demos, and buyer qualification.
Core Features & Use Cases
- Positioning Frameworks: Choose between copilot, agent, and teammate framings with decision trees and specific language guidance for enterprise buyers.
- Pricing Models: Compare seat-based, usage-based, outcome-based, and hybrid pricing with rules like pricing variable cost at 20-30% of the customer's alternative cost.
- Objection Handling & Demos: Address the "who is responsible when AI breaks" objection with the Accountability Cascade, and structure demos that show AI failure and recovery to build trust.
- Use Case: A startup selling an autonomous coding agent keeps stalling in enterprise deals. Use this Skill to reposition from "autonomous agent" to "AI teammate", restructure the demo to show failure recovery, and qualify buyers on incident response maturity.
Quick Start
Ask the AI to help position your AI product for enterprise buyers using the copilot vs agent vs teammate framework and draft objection-handling responses.