How to Get Discovered Podcast Introduction and Format
"How to Get Discovered" is a weekly podcast hosted by Maya and Tom, focusing on podcast growth, search, and discoverability. Maya, with a background in content marketing, emphasizes the importance of discoverability, while Tom, a veteran podcaster, prioritizes making a good show. The format involves discussing a topic, often disagreeing, with a goal to determine who is "more right" over ten episodes.
how to get discovered· podcast growth· search· discoverability· content marketing· podcasting industry
00:00 Hello and welcome to How to Get Discovered. I'm Maya And I'm Tom HTGD is a weekly conversation about podcast growth, search, discoverability and all the unglamorous mechanical stuff that decides whether anyone outside your existing audience ever finds your show Which Maya thinks is the most important thing in podcasting I do And which I think is mostly a distraction from making a good show Which is why we're doing this podcast together Quick introductions because it's episode one. Maya came up through content marketing before she got into podcasts, which is relevant because she still thinks like a content marketer. Every episode is an asset every asset should compound nothing has ever finished and Tom has been making podcast for 10 years Which is relevant because he has watched every fad in this industry come and go And he is skeptical of basically all of them accurate
00:56 The format of the show is simple. Each week we pick a topic, we disagree about it... sometimes we change each other's minds…sometimes we don't! The plan is 10 episodes and by the end of those ten episodes one of us is going to be more right than the other It's gonna be me We'll see Today's episode is called Invisible Shows. It's the one where I try to convince Tom, and you that most podcasts are basically impossible to find unless you already know about them and that this is a much bigger problem than the industry pretends And I'm gonna push back on that because I think the problem is real but smaller than Maya thinks and the solutions are usually worse than the problem Let's get into it!
