Buzzcast

·E219

Turn AI Into Your Personal Podcast Analyst!

March 13
1h 11m

Episode Description

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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:

  • Copy your episode list, including publish dates, titles, durations, and downloads
  • Export or collect your podcast transcripts
  • Upload both into an AI tool like ChatGPT inside a single project so it can reference everything together

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

  • “Look at all the episode titles, durations, and downloads. What patterns do you see?”
  • “Based on this data, what questions should I ask if I want to improve my podcast?”

Title analysis

  • “Look at my podcast episode titles and downloads and tell me what title patterns perform best.”

Transcript and format analysis

  • “Analyze my podcast transcripts and identify patterns in the conversations.”
  • “What types of segments appear most often?”
  • “Which segments create the best conversations?”

Host dynamics / speaking analysis

  • “Analyze the speaking distribution across my podcast transcripts.”

Future episode planning

  • “Based on my best performing episodes, suggest new episode ideas.”


Links mentioned in this episode:

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Thanks for listening and Keep Podcasting!

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