AI-Driven Podcast Growth: Simplifying Guest Booking and Research with Podengine

Have you ever wondered how AI can help you find the perfect podcast guest—or land you on your dream show? If you’re a podcaster or want to up your podcast research game, you don’t want to miss this conversation!

In this episode of Podcasting Tech, host Mathew Passy is joined in-studio by Luke Belbina, co-founder of Podengine, to dive into the rise of AI-powered podcast guest discovery and research tools—and how these innovations are set to change the landscape for hosts and guests alike.

You’ll hear about why Podengine was built, powerful (and sometimes surprising) use cases for podcast AI, and the evolving challenge of standing out amid a flood of AI-generated content. Luke also shares what makes a podcast “authoritative,” the real value of transcripts and show data, and how Podengine is intentionally designed to prevent spam while boosting real podcast connections.

This episode is a must-listen for anyone looking to make podcast research, booking, or promotion more efficient—and for those worried about the “work slop” that can creep in when AI isn’t curated thoughtfully. Luke and Mathew share practical ideas you can implement right now to level up your show’s quality and outreach.

IN THIS EPISODE, WE COVER:

• Where Podengine came from, why AI-based podcast search is different, and how Luke transitioned from healthcare to podcast tech (00:00–00:02:24)
• What makes Podengine’s recommendations and authority scoring unique, and how it supports both guest seekers and podcast hosts (00:02:24–00:07:24)
• How podcasters and researchers can use transcripts, show data, and AI analysis to prepare better interviews and standout pitches (00:07:24–00:10:59)
• The challenges and pitfalls of AI-generated podcasts, filtering low-quality content, and the bigger questions about fact-checking and bias in the age of “content slop” (00:11:46–00:14:51)
• Who Podengine is for right now, what’s changing in podcast guest booking, and the surprising ways AI impacts workflow, team size, and product development (00:15:25–00:23:21)
• Luke’s wish list for the future of podcast tech: supercuts, smarter video tools, and more transparent, human-centric discoverability (00:25:46–00:28:30)
• Favorite podcasts, gear frustrations, and a call to reclaim your algorithm! (00:28:30–end)

Links and resources mentioned in this episode:

• Podengine AI — https://podengine.ai/
• Breaking Points podcast — https://www.breakingpoints.com/
• Lenny’s Podcast (Product Management & Tech) — https://www.lennysnewsletter.com/podcast
• Want to connect with Luke? LinkedIn: https://www.linkedin.com/in/lukebelbina/
• Previous recommended episode: The Future of Podcasting: Engaging Listeners Through TrailerGram

Don’t forget: Visit Podengine to claim your show and see your Authority Score, or try out their AI-powered research and guest booking tools! If you loved this episode, leave a review and share it with your podcasting friends.

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