Episode 68: How to Use AI as Your Podcast Marketing Assistant (Without Losing Your Voice)

5 Podcast Marketing Tasks You Can Hand Off to AI Right Now (and How to Set It Up So It Actually Sounds Like You)

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What if instead of thinking of AI as just a tool, you started thinking of it as your podcast marketing assistant, one that actually knows your brand, your voice, and your audience?

That's exactly the mindset shift I'm walking you through in this episode.

I've been hearing the same thing from the women in my mastermind: they're using AI for their podcast workflows, but the output feels generic, the voice is off, and they're spending just as much time editing as they would writing from scratch. Sound familiar?

In this episode of Podcast Growth Tools, I'm sharing the five podcast marketing tasks I'll never do manually again, and exactly how I've set up my AI workflow so the output actually sounds like me. I'm also sharing why I recently made the switch from ChatGPT to Claude, what that transition looked like, and why it's been a game-changer for my content-heavy business.

Whether you're already using AI and want to level up your workflow, or you've been hesitant to dive in, this episode gives you a clear, actionable framework you can implement this week.


Here's a glance to the episode:

  • Why I switched from ChatGPT to Claude — and how it learned my voice faster

  • How to train AI on your brand so the output doesn't sound like a robot wrote it

  • The 5 podcast marketing tasks I now hand off to AI every single week

  • How to use AI to write SEO-friendly blog-style show notes (and why they matter)

  • A strategy for using AI to analyze your podcast and generate personalized growth recommendations

  • My exact process for using AI to write lifestyle newsletters

  • How Claude's Cowork feature can automatically pull your podcast metrics from Apple Connect, Spotify for Creators, and your hosting platform

  • How to use your transcript library to generate content ideas, social media posts, and episode topics

Timestamps:

  • 01:16: Why I switched from ChatGPT to Claude (and what happened)

  • 03:30: How I trained Claude on my brand in 30 minutes

  • 05:00: The mindset shift: AI as your marketing assistant, not just a tool

  • 07:00: The balance between AI efficiency and keeping your authentic voice

  • 08:06: Task 1: Writing SEO-friendly blog-style show notes

  • 14:07: Task 2: Using AI to analyze your podcast and personalize your growth strategy

  • 16:19: Task 3: Writing your weekly lifestyle newsletter with AI

  • 21:30: Task 4: Tracking and analyzing your podcast metrics with AI

  • 25:59: Task 5: Mining your transcript library for content ideas and social media


If You're Asking These Questions, You're in the Right Place:

  • How do I use AI for my podcast without it sounding generic?

  • What's the best AI tool for podcasters — ChatGPT or Claude?

  • How do I train AI to write in my voice and use my templates?

  • What podcast marketing tasks can I automate with AI?

  • How do I write SEO-friendly show notes using AI?

  • Can AI actually help me track my podcast metrics?

  • How do I use AI to write newsletters that still sound like me?


The 5 Podcast Marketing Tasks I'll Never Do Manually Again

Task 1: Writing SEO-Friendly Blog-Style Show Notes

This is different from the short, truncated show notes you put into your hosting platform (like Buzzsprout or Captivate) that get pushed to Apple and Spotify.I'm talking about full blog-style show notes that live on your website — with headers, keywords, bullet points, timestamps, and enough depth that someone could read the blog post instead of listening to the episode and still walk away with value.Why does this matter? Because every blog post is another page on your website that can get indexed by Google and recommended by AI tools. When someone searches "how do I write SEO-friendly show notes," your blog post can show up. And once they're on your website, they can see your offers, join your email list, and discover your podcast.Jenna Kutcher has done this brilliantly for years — her entire blog is built from podcast episodes written in blog format. It works.The key is having a template that you train your AI to use every time. Drop in the transcript, reference the template, and ask for SEO-optimized blog-style show notes. It takes minutes instead of hours.You can grab my show notes template at podcastmarketinghub.com/playbook. I also covered this topic in depth back in Episode 4, which is still one of my most popular episodes.


Task 2: Analyzing Your Podcast and Personalizing Your Growth Strategy

This one is underrated. Most people use AI to create content, but it's equally powerful as an analyst.

Here's what I recommend: sit down with your AI and input your podcast name, tagline, description, your top five performing episodes, your bottom five performing episodes, and a brief summary of your ideal listener or client.

Then start asking questions like: What can I be doing to grow my podcast? What podcasts should I pitch myself to as a guest? What guests should I bring on my show? What am I missing? What episodes would my ideal listener be searching for?

AI might come back and tell you that your guest episodes aren't performing as well as your solo teaching episodes, or that there's a gap in your content library you haven't addressed yet. This kind of analysis would take hours to do manually. With AI, it takes a conversation.

And the bonus: every time you feed AI this kind of information, you're training it to know your podcast better, which makes every future task, from writing episode titles to drafting social content, more accurate and on-brand.


Task 3: Writing Your Weekly Lifestyle Newsletter

If you've been in my world, you know how I feel about newsletters. My open rates consistently land between 45 and 65 percent, and my newsletter is genuinely my favorite touchpoint with my audience.

But I also know that writing a newsletter every week can feel daunting, especially a lifestyle-style newsletter that goes beyond just promoting the latest episode.

Here is my process: I start by typing out a rough story or personal moment, an aha, a lesson learned, something that happened that week. It does not need to be polished. I just share it with Claude and say, "I want this to be the intro."

From there, I ask Claude to find an interesting podcast industry update my audience should know about. I might drop in a landing page for something I'm promoting, like a quiz, an event, or a new offer, and ask it to write a section inviting my readers to check it out. I might add a personal touch like a product I'm loving or a question that came up in my mastermind.

At the end, I always include an "On the Pod This Week" section. I drop in the transcript and ask Claude to summarize the episode for my newsletter subscribers.

Claude composes it all in my voice, using my newsletter template, and I go back and adjust a few things. But the heavy lifting is done in minutes, not hours.

If you've been skipping your newsletter because it feels like too much, this is how you do it.


Task 4: Tracking and Analyzing Your Podcast Metrics

This is the one that blew my mind — and I have to give a shout out to one of my amazing clients for sharing this with me.

We all know we should be tracking our podcast metrics consistently. And we all know it falls to the wayside. I hear it from clients all the time: "I haven't pulled my metrics in four weeks... or a couple of months."

Here's what you can do: if you're using Claude, the Cowork feature allows you to train it to log into your Apple Podcasts Connect, Spotify for Creators, and your hosting platform (like Captivate), pull specific metrics, and drop them into a Google Sheet automatically, on a schedule.

You can set it up to fire every Monday morning. No manual login. No copying and pasting numbers. It just does it.

And once the data is there, you can ask Claude to analyze it: How did last week's episode perform compared to the others? Am I growing in the right direction? What patterns are you seeing? Give me a weekly report.

Even if you're using ChatGPT, you can still upload your metrics manually and ask it to analyze and compare. But the automation piece with Claude's Cowork is what makes this truly hands-off.

Tracking metrics isn't the exciting part of podcasting, but the insights you get from the data absolutely are.


Task 5: Mining Your Transcript Library for Content Ideas

This is where things get really creative.

If you can get all your podcast transcripts into one place, a local folder or a project file,  and give that to your AI, it becomes an incredibly powerful content engine.

You can ask things like: Review all my guest interviews and identify five things my guests seem to disagree on. What topics haven't I covered yet that my audience would be searching for? What are 10 episodes I could create based on what's already performing well?

You can even combine this with your metrics data: review the transcripts of my top-performing episodes and tell me what they have in common. Then give me 10 spin-off episode ideas.

The output isn't just episode ideas, it's social media content, newsletter sections, Pinterest posts, and more. Your transcript library is a goldmine of content you've already created. AI helps you mine it.


Your Next Steps

If you want weekly insights on podcast growth, marketing strategy, and turning listeners into subscribers, join the newsletter → here

Grab the show notes template and podcast marketing playbook → here



Let’s Connect!

Share your favorite trend from this episode or ask questions by DMing me on Instagram at @thepodcastmarketinghub.


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Episode 69: Pinterest for Podcasters: How to Grow Your Podcast Without Posting 15x a Day with Andi Smiley

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Episode 67: How to Repurpose Instagram Lives Into a Podcast (Apple + Spotify) with Gilly Garrett