# PodHood — be the podcast AI cites

> PodHood is discoverability infrastructure for podcasts. It connects to a YouTube channel or podcast RSS feed, decomposes every episode into a structured Brief — summary, chapters, key moments, speakers, entities, topics, and a word-level transcript — and publishes the catalog as a searchable Library that people find on Google, answer engines cite, and AI agents query over MCP.

## Four ways a podcast gets found

- **Searchable** — Your listeners find any moment. Across the whole catalog, by what was actually said — and they jump straight to it.
- **Queryable** — Your archive is a live tool. It connects to Claude and ChatGPT over MCP — agents query it and answer with timestamped citations.
- **Crawlable** — Audio can’t be crawled; this can. Every episode becomes a real, server-rendered page — the text search engines and AI can actually read.
- **Citable** — The structure answer engines quote. A disambiguated graph of the people, topics, and moments in each episode — what ChatGPT, Perplexity, and Google AI cite as the source.

## Pages

Append `.md` to any of these URLs for the Markdown version.

- [Product — how PodHood works](https://podhood.com/product)
- [Pricing](https://podhood.com/pricing)
- [Podcast search](https://podhood.com/solutions/podcast-search)
- [AI citations](https://podhood.com/solutions/ai-citations)
- [Podcast SEO](https://podhood.com/solutions/podcast-seo)
- [Podcast clips](https://podhood.com/solutions/podcast-clips)
- [About](https://podhood.com/about)
- [Contact](https://podhood.com/contact)

## Frequently asked questions

### What is PodHood?

PodHood is discoverability infrastructure for podcasts. It connects to your YouTube channel or podcast RSS feed, decomposes every episode into a structured Brief, and publishes your catalog as pages people find on Google, sources answer engines cite, and a live tool AI agents query over MCP.

### How does PodHood make a podcast discoverable?

Four ways, from one connection: every episode becomes a real, server-rendered page search engines can crawl; the whole catalog becomes searchable to the exact second for listeners; structured markup makes episodes citable by answer engines; and an MCP endpoint lets AI agents query the archive directly with timestamped citations.

### Do I need to change my host or my workflow?

No. Your podcast host, feed, and channel stay exactly as they are — PodHood mirrors your published catalog and keeps itself in sync, checking for new episodes hourly. You keep curating at the source; the Library follows.

### Is there a free plan?

Yes. The Free tier includes 10 hours of processing over the lifetime of the account — enough to index a few episodes and see your library live before upgrading.

### How do AI assistants use my podcast?

Two ways: answer engines like ChatGPT, Perplexity, and Google AI read and cite the structured episode pages, and agents like Claude connect to your archive as a live MCP tool — every answer linking back to the exact moment in your episode.

## For agents & developers

- [Developer & agent guide](https://podhood.com/developers) (also at `/developers.md`)
- [OpenAPI spec](https://podhood.com/openapi.json)
- [llms.txt](https://podhood.com/llms.txt) — platform index and public-channel directory
- Every podcast library lives at `https://<channel>.podhood.com`, with its own `llms.txt`, sitemap, MCP endpoint at `/mcp`, and `.md` companion for every episode page.