YouTube is now a core distribution channel for podcasts, but many hosts still struggle with the "Engagement Gap". Unlike traditional RSS distributors, YouTube provides a direct, frictionless line to your audience through the comment section. This section is a "treasure trove" of qualitative data that can—and should—drive your episode planning.
The Challenge of Podcast Engagement
Podcast listeners are highly engaged, often asking complex "Micro-questions" or making specific "Pattern Requests" for future guests and topics. However, reading through thousands of comments across a 90-minute episode is an operational nightmare.
Audience Deep Dive: The process of systematically analyzing audience feedback to extract actionable insights for content planning and strategy refinement.
The CommentlySenseAI Podcast Workflow
Automate Your Audience Deep Dive
CommentlySenseAI automates the "Audience Deep Dive," allowing podcasters to turn raw feedback into a structured content calendar in minutes.
Analyze Your Podcast Episode FreeSurfacing Content Requests
Our AI isolates every time a listener says, "I'd love to see you cover X" or "Can you bring guest Y back?" This transforms scattered comments into a clear, prioritized list of what your audience wants to hear next.
Refining Episode Pacing
By analyzing "Outcome Comments" (feedback on the episode itself), you can identify exactly where your pacing worked and where you lost people. This allows for tighter editing and more engaging storytelling in future recordings.
Episode Planning on Autopilot
Instead of staring at a blank script, use our AI-Generated Ideas to draft your next episode outline based on real audience desires. With our unique shareable URLs, you can send these reports directly to your production team or co-hosts, ensuring everyone is aligned with what the audience actually needs.