Built for Podcasters on YouTube
YouTube Comment Analysis for Podcasters
Your listeners leave gold in the comments — episode requests, guest suggestions, topic ideas, and feedback. CommentsOwl extracts the signal from the noise automatically.
The problem with YouTube comments at scale
Episode ideas are buried in comments
Hundreds of comment threads contain guest suggestions and topic requests. Manually reviewing them every week is a full-time job.
Knowing which episodes resonate is hard
Not all episodes perform equally. Sentiment analysis shows you which episodes sparked the strongest positive reactions — and why.
Guest outreach needs data
When you reach out to a guest, having audience data about engagement and interest in their topic makes the pitch more compelling.
How CommentsOwl helps podcasters on youtube
Guest wishlist extraction
Find the most requested guests across your last 50 episodes. Prioritise outreach based on real audience demand.
Episode performance review
Compare sentiment across your most and least popular episodes. Understand what makes your best episodes work.
Listener question compilation
Pull the top questions from recent episodes and turn them into a listener Q&A episode or newsletter segment.
Sponsor audience reports
Show podcast sponsors that your YouTube audience is engaged, using AI-analysed comment sentiment as evidence.
Everything inside CommentsOwl
Sentiment analysis
Positive / neutral / negative breakdown across all comments
Question extraction
Surface every question your audience is asking
Content ideas
AI-generated video ideas grounded in real comment data
Superfan detection
Identify your most loyal and engaged commenters
White-label PDF reports
Branded reports for you or your clients in one click
Owl-Chat
Ask anything about the comments in natural language
"I booked three new guests just by running CommentsOwl on my top 10 episodes and finding who my audience mentioned most."
— Business podcast host
Start understanding your audience today
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