Launchator

PodHood

Turn a podcast or YouTube archive into a searchable site

PodHood homepage screenshot

About PodHood

PodHood is built for podcasters and YouTube creators whose episodes are hard to find because audio and video can't be read by search engines or AI models. Connect a YouTube channel or podcast RSS feed once, and the back catalog is imported while every new upload indexes itself.

Each episode becomes a structured Brief with a summary, chapters, key moments, speakers, entities, topics and word-level transcripts. These are published as server-rendered pages so Google and AI answer engines can read and cite them. Listeners can search across the whole catalog and jump to the exact second. The archive can also be queried by Claude and ChatGPT over MCP, with timestamped citations.

Beyond discovery, PodHood offers analytics on human and AI-agent visitors, labeled and clustered YouTube comments, captioned vertical video clips for Shorts, Reels and TikTok, and a built-in email list that sends each new episode brief to subscribers. There is a free plan to start.

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