How to analyze any podcast in sixty seconds.

The header is the whole show on one screen. Whether it's active, its categories, a description, and a written read on the host. Then three actions: save to a list, track alerts, or pitch the podcast with an AI draft. Everything after this is depth.

Below the header sits the tab row, and the numbers are already on it: chart position, episode count, YouTube subscribers. You know what's inside before you open anything.

What the podcast actually talks about

Not the categories it filed itself under, but what it actually says. Most Discussed Topics counts how many episodes cover each subject. Beside it, Brands & References lists the companies, products, people and institutions that come up on air. Both come from the transcripts. Nobody typed them in.

Every topic and every brand is clickable and opens the exact episodes, with dates. That's not a tag. That's the receipts. For an advertiser, checking whether a competitor already lives on a show is two clicks. For a researcher, it's a citation list.

How big the podcast is: reach estimate with confidence

Monthly reach as a range, with the source shown: the chart positions in each market that the estimate is built from, listed individually. Per-episode audience within thirty days. Active followers tracked across platforms. And a confidence rating on the whole thing, so you know how hard to lean on it. Most tools give you one number and no way to check it.

Market competition and platform distribution

Market Insights places the show against its categories: typical competition in fitness and health, low competition in mental health. Low competition is a gap, and gaps are where you buy ads or pitch a guest. Platform Distribution breaks followers, plays and reviews out by YouTube, Castbox, TuneIn and the rest, so you can see where the audience actually lives.

Hosts, recent guests and official channels

The hosts and how often each appears. Recent guests across the last forty episodes, with faces and counts. The latest episodes with dates. And every official channel in one place: website, RSS, Facebook, X, Instagram, YouTube, LinkedIn, TikTok. A show that books twenty guests a month books guests. That's not a guess anymore.

Built from reviews, comments, social engagement and web signals: a written audience profile, gender split, estimated income, age distribution, top locations and interests. The locations row is the one that changes plans.

The tab for anyone who wants on the show. A score out of 100 for how open the podcast is to guests, then the evidence behind it, measured over the last fifty analyzed episodes.

Under the numbers: what each guest spot is worth, as listeners reached and as ad-equivalent dollars. Then the best-fit guest type, with the actual recent guests behind it named, so you can see who this host says yes to. Here, academics and researchers, 41% of recent guests.

The “Pitch This Podcast” button in the header drafts an email from all of this, and “Find 50+ more shows that would book you” hands the show off to Guest Finder.

Full ranking history in every market the show has ever charted in, plotted over time. You can see the peaks, and you can see the slides. A show that just cracked a Top 50 reads differently from one that has been sliding for a year.

Then a comparison against the median podcast in any category you pick, chart presence by country, and best rank per country.

The archive, indexed. Episode count, average length, date range, how many have been analyzed, and the topics and guests found across them. The table is searchable by title, topic, guest, host or keyword, with columns for topics, guests, brands, places, keywords and sponsors on each episode. This is where you confirm a sponsor read, find the episode a guest appeared in, or pull every episode on a subject for a report.

Many shows now reach more people on YouTube than in podcast apps, and this is the tab nobody else does. The same show's channel: overview, the last ten videos with views and likes colour-coded high, medium and low, then channel stats, engagement, upload pattern and shorts versus long-form.

Then the biggest videos ever, and the comments analysed: percentage positive, the words that come up most, sentiment per video, and the most positive and most negative comment pulled out by name. That's how the audience actually feels. Not a follower count, the room.

The same profile answers different questions depending on why you opened it. This is the order that works for each job.

Free on every show

Header, description, host read, Episodes tab

Pro and up

Insights, Audience, Pitch Fit, Charts, YouTube, Reviews, Web Presence, unlimited. Free accounts get a monthly allowance of full profiles. Current limits.