Audio deserves to be found.

PodHood is discoverability infrastructure for podcasts. We connect to a show’s YouTube channel or RSS feed and decompose every episode into a structured Brief — a grounded summary, chapters, key moments, diarized speakers, a disambiguated graph of entities and topics, and a word-level transcript aligned to the audio.

From that structure we publish a complete, searchable Library for the show: real, server-rendered pages that search engines index, structured markup that answer engines cite, and a live MCP endpoint that AI agents like Claude and ChatGPT query directly — with every answer carrying a timestamped citation back to the exact moment it came from.

The problem we work on is simple to state: a podcast can answer a question better than any blog post and still lose the search result, because audio is unreadable to crawlers, retrieval systems, and language models alike. We build the text layer that audio is missing — so the people who make great spoken content get credited as the source, in search results and in generated answers.

PodHood is built and operated by a small team. You can reach us any time at hello@podhood.com.