Quick Answer
For search, voice, and "just tell me what to do".
Before a call, feed AI the prospect's context and your offer. Ask for a plan: discovery questions, likely objections, and proof assets to bring.
Key Takeaways:
- Preparation wins deals.
- AI helps you think through scenarios quickly.
- The best calls are diagnosis-first.
- Bring proof proactively to reduce risk.
Playbook
Summarize the prospect: role, goals, current stack, constraints.
Ask AI for: 10 discovery questions and 5 follow-up questions.
Ask AI to list likely objections and recommended proof assets.
Role-play: AI as prospect; you practice the talk track.
After the call, capture notes and update your script library.
Common Pitfalls
- Using AI to script manipulation instead of clarity.
- Over-prepping and losing authenticity.
- Not updating your assets based on real outcomes.
Metrics to Track
Call confidence
Next-step rate
Close rate
Time-to-close
FAQ
What should I give AI before a call?
Prospect context, your offer, and your proof assets. The more specific the inputs, the more useful the prep output.
How do I role-play effectively?
Ask AI to be skeptical and specific. Practice short responses, ask clarifying questions, and focus on guiding the conversation calmly.
Can AI replace sales training?
No, but it can accelerate it. Use AI to rehearse, test messaging, and extract patterns-then learn from real calls to improve.
Related Reading
Next: browse the hub or explore AI Operations.