Can AI actually help you make a better podcast???
This week, we break down how to use AI to analyze your podcast episodes, transcripts, titles, and back catalog so you can spot patterns, improve your content, and plan stronger future episodes.
Kevin shares how he used ChatGPT to review Buzzcast’s episode titles, downloads, durations, and transcripts to uncover what topics perform best, what kind of conversations create the most engagement, how each host contributes to the show, and where there are opportunities to improve.
Along the way, we talk about why back catalog optimization matters, why transcript access is such a big unlock for podcasters, and how AI can be a genuinely useful tool for creators.
Steps to run your own podcast analysis:
1. Start with the data:
2. Then give it some context: Tell the AI that older episodes naturally have more downloads because they’ve had more time to accumulate plays. Ask it to account for that before comparing old episodes to new ones.
3. Analysis prompts we used:
Broad analysis
Title analysis
Transcript and format analysis
Host dynamics / speaking analysis
Future episode planning
Links mentioned in this episode:
Contact Buzzcast
Thanks for listening and Keep Podcasting!
