It’s happened to my clients more often than I’d like to admit: They come to me because they’re not getting any traction or leads from search, I ask about their content marketing strategy, and they say, “I have over a hundred podcasts on the topic, yet nobody can find me!”
And I inwardly wince… because podcasts are a fickle beast for AI.
A lot of podcasters aren’t thinking about getting discovered beyond a mid-roll pitch for ratings and reviews, so they post their audio-only version of their podcast to their feed (which may or may not live on their website) and hope they get found.
Let’s face it: podcasts are time consuming. I have two podcasts, and every one-hour episode probably take 3-4 hours of production time. Planning, recording and editing probably takes 2.5-3 hours, not to mention the marketing: show notes, social media reels, emails… then you’ve got to do it all again the next week. (Thank God I have co-hosts to split the responsibilities!)
And I’m about to ask you to do more. (Ugh, sorry.)
But this extra 10% of work on top of all that other stuff (or honestly, integrated into some of it, and maybe even replacing some of it) is the part that will make your podcast show up in search results, so that new people can discover you not only in the podcast players, but also in Google & AI Search.
What AI Needs to Be Able to “Hear” (Read) Your Podcast Content
Podcasts have two discoverability engines: podcast-streaming platforms like Apple Podcasts and Spotify, and general search platforms like Google and ChatGPT.
AI search is different from Apple Podcasts. While Apple Podcasts function much more like traditional search engines (podcast keyword research still matters there–one of the few places on the internet that’s still true), where somebody might search for “AI business podcast” or skim through the Entrepreneur category to discover a podcast like Aggressively Human.
AI search is more conversational. It doesn’t have a list of “here are 50 podcasts to recommend, pick one.” Instead, based on the prompt, it will match core themes, audience, and underlying ethos, based on all sorts of signals that you send — not only your episode titles (which is mostly what Apple Podcast matches) but your way of thinking.
So Aggressively Human might show up in the results when somebody asks for “business podcasts hosted by women that focus on ethical growth, anti-hustle culture, and long-term sustainability rather than ‘get rich quick’ tech trends.” (Full disclosure: We don’t know if anybody searched for that, but I asked Gemini what types of queries would surface our pod and that was one of the ways it described our work.)
But these tools can only recommend you if it understands you.
And they can’t understand you if you don’t tell them, in text, exactly what you say and what you believe.
AI can do a lot of things (and there are plenty of things it can that it shouldn’t, IMHO, but that’s a different soapbox), but one of the things it can’t do (yet) is listen to audio. At least not in the way that matters for whether you show up when someone asks ChatGPT a question you’ve already answered, out loud, forty-seven times.
Your voice, your insight, your best guest interview — none of it exists to a synthesis system until it exists as text somewhere that system can crawl.
You can have the single best episode in your niche and it will be functionally invisible if the only place it lives is an audio file behind a play button.
The Podcast AI Visibility Ladder
So let me introduce the Podcast AI Visibility Ladder, and explain how to climb up to make yourself more visible. There are four levels, each one building on the last, each one unlocking something the level below it couldn’t do.
Level 1: Audio Only
Most podcasts stop here. The episode goes up, it lives on Apple and Spotify, and that’s the whole footprint. It’s discoverable within those platforms’ own search (which is not nothing) but it’s invisible everywhere else. No crawler can index a sound wave.
Level 2: Audio + Show Notes
Once you write podcast show notes, crawler has something to read. But — and this is where most shows stall out — the show notes are usually thin. “In this episode, we talk with [guest] about [topic].” That’s not a signal, that’s a caption. It confirms the episode exists; it doesn’t give an AI system anything to actually cite or synthesize, because there’s no argument in it, no specific claim, nothing with a point of view.
Level 3: Audio + Show Notes + Transcript
Full text now! Every word spoken is on the page and legible! This feels like it should be the finish line… but a podcast transcript reads like a book with no paragraph breaks or dialogue — just one big block of text describing the scenery. It’s unstructured, it’s conversational filler and “yeah, totally” and false starts, and there’s no clear signal about which parts are the most important. Volume of text isn’t the same as quality of text.
Level 4: Audio + Show Notes + Transcript + Blog Post
At this level, something is actually written. Not transcribed or summarized — written. A blog post built from the episode has a thesis, a structure, a point of view, and it’s the first version of this content an AI system can actually extract and cite with confidence, because it reads like something a person decided to say, not something a person happened to say out loud once.
If you only do one thing after this post: Turn your best episodes into an actual blog post, not a transcript dump to close the gap between invisible and citable. It doesn’t have to be every episode, but the best 10-20% can go much farther for you in search if you take the time to turn them into an argument, not just a block of text.
The Omnichannel Upgrade: Add Your Podcast to YouTube
Whatever level you’re on, YouTube is worth adding … because YouTube uses automatic speech recognition to generate a caption track, which show up as short, timed fragments layered over the video when you turn on Closed Captions. It’s typically 85-95% accurate (depending on language and audio quality).
And then Google and AI tools can read those captions like they’re a transcript directly from YouTube, which is a site that they already trust. (Learn more about YouTube for Podcast AI Discoverability.)
So if all you’ve got is Level 1 — a raw audio feed, nothing else — uploading that same episode to YouTube with a simple waveform or static image is still a real improvement. It’s the first version of the episode that exists as text anywhere, even if you haven’t touched a show note or transcript yet.
If you’re already at Level 4 — audio, show notes, transcript, and a real written blog post — adding YouTube means that same content now exists on a platform where Google’s AI systems can process the video directly, not just read the metadata around it.
Same interview, same insight, another door into it, and about as legible and findable as this content is going to get. Either way, it’s an Omnichannel move, not a separate task — the same body of work, showing up on another surface AI is already paying attention to.
