The AI for Sales Podcast

“How is AI transforming the customer experience in your world?”

This is a frequent opening question to establish the guest's high-level perspective.

“Can you share a case study of how a customer is using your technology?”

The host often asks this to ground abstract concepts in practical, real-world application.

“For our listeners, can you briefly explain what [industry acronym, e.g., CPQ] is?”

The host asks this to act as a proxy for the audience, ensuring technical terms are accessible.

“Tell us a little bit about your company and its founding principles.”

Used early in the conversation to get the guest's origin story and core mission.

“How do you balance personalization and automation, and where does the human fit in?”

This question surfaces the guest's philosophy on the human-AI collaboration dilemma.

“What cool AI tools have you purchased and are using inside your own company?”

A practical question that often yields specific tool recommendations for listeners.

“What are the ethical considerations, and what skills should people be developing for the future?”

This is a common closing question, broadening the scope to career advice and responsible innovation.

“What are some of the common misconceptions you see about AI in sales?”

This question is used to address and debunk hype or fear in the market.

“Where do you see the industry headed in the next 12 months?”

A forward-looking question to get the guest's predictions on near-term trends.

“How does new technology like 'agentic AI' play a role in the current environment?”

The host will ask about specific, cutting-edge technologies when a guest mentions them.

“What key data points or columns are most important in your algorithm?”

A technical-leaning question to understand what makes a guest's product effective.