In the world of podcasting, preparing a solid list of episode ideas is essential, especially if you’re running a weekly show. Ideally, having a three to four-month buffer – around 20 to 30 episode ideas – is a great starting point.
But what happens when you’re struggling to come up with enough engaging content?
This is where Artificial Intelligence (AI) can become an invaluable tool in your podcast planning process.
Generate Engaging Topics
Say you’re a fan of Taylor Swift’s “All Too Well” and want to create a podcast that breaks down songs with compelling narratives.
ChatGPT can be used to generate a list of similar songs that offer rich stories for discussion.
So it’s not just about picking any song; it’s about selecting those with deep, meaningful stories and great lyrics, like “Bohemian Rhapsody,” “Hotel California,” or “Like a Rolling Stone.”
Expanding Beyond Individual Songs
The potential of AI extends beyond just individual song suggestions. It can offer broader thematic ideas related to storytelling in music. This might include topics like the ‘soundtrack of your life,’ personal song stories, musical love stories, or the power of protest songs.
These broader themes can be developed into full episodes or serve as inspiration for further content development.
Delving Deeper into Music Analysis
An intriguing aspect of music-based podcasts can be the analysis of song remakes and variations. For instance, examining a song like “Like a Rolling Stone” by Bob Dylan, which isn’t a ballad, and exploring how different artists have covered it, can open up a fascinating discussion.
This approach highlights how songs evolve and change in different artists’ hands, which can be both intriguing and controversial to fans.
