A Data-Driven Way to Choose the Right Podcasts: The Podcast Authority Score

This conversation is the answer to everyone’s question, “Is this a good podcast for me?” This  groundbreaking conversation with Luke Belbina, co-founder of Pod Engine, shares a long-overdue innovation in podcast marketing with host Tom Schwab: The Podcast Authority Score.

For years, podcast guesting has felt like guesswork, relying on incomplete or misleading metrics like download numbers. But now, with the power of AI and real-world podcast data, that’s about to change. Luke and Tom discuss why traditional metrics fall short, how AI can surface deeper insights, and how the Podcast Authority Score offers a transparent, actionable, and personalized way to evaluate podcast opportunities.

You’ll hear the origin story behind the tool, the major data sources it uses (including audio quality, show notes, social activity, YouTube presence, and more), and how it’s designed not just to measure a podcast’s authority, but to help you find the right podcasts based on your unique goals.

Timestamps From This Episode:

[03:34] The problem with listener metrics

[07:18] Introducing a new idea – customizing podcast authority scores based on individual needs

[15:05] Transparency in podcast metrics to build trust

[24:03] Future expectations for personalized software experiences in podcasting

Resources From This Episode:

Podengine.ai

InterviewValet.com

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