Tracy Hazzard uses PodMatch to find podcast guests, getting about five good matches out of six or seven suggestions each week. The AI learns from her feedback, marking fits as perfect to improve future recommendations.
Now I'm a big proponent of Pod Match. We talked about that before. I think it does a way better job of matching up without the ugliness of pitching that goes on from the guesting services. Now there's a high level concierge guesting, which I'm a. I love. Right. There's someone who's going to go out there, going to find you exactly the right shows, they're going to build a relationship with that host, they're going to get you on it. The ones that just send out random emails to a whole bunch of people is a waste of time. I would rather you used a pod match system every day of the week because it is much more friendly to me as a host looking at and being able to choose the right matches and the AI gets it faster. So I mean I can go in any given week and there's like six or seven suggestions that the AI does for you, does it on a daily basis, but I only go in once a week and five out of six of them, five out of seven of them will be right and I'll invite them on and I'm done with my guest, my guest outreach for the month. Like I can just do it. And then I just do a couple of extras from people that do referrals or, or things like that, that kind of top level, more concierge relationships that I built over time. So that makes it super simple for me because it's already dialed in. But I know exactly what I'm looking for.
If you don't know what you're looking for, you have a feedback loop you can do in Pod Match, which is really so powerful. So I can say that was a great. So I take them on my show. But afterwards I can say this was a perfect fit for me and I take the time to do a review, give them a rating, tell the system that it was good for me, they're going to give me more of those type of matches in the future and it gets better and better and better.
