How rankings work

Every number on PodCited comes from something a person said on a podcast. Here is how a sentence in an episode becomes a ranking, and what we leave out.

1. Collecting the conversations

We transcribe full episodes of 22 long-form podcasts, listed at the bottom of this page. Short clips, trailers and paid-tier previews are skipped. An AI model reads each transcript and records every book that comes up: the exact words, who said them, and where in the episode.

2. Sorting what was meant

Each mention gets one of four labels. Only two of them count toward a book's standing.

👍 EndorsementA speaker recommends a book someone else wrote.Counts
⚡ CritiqueA speaker argues against a book or names its limits.Counts
🎙️ Author plugThe author is on the show, or a host is talking with the author about it.Shown, never counted
Passing referenceThe book is named without an opinion attached.Shown, never counted

Some checks are applied by rule rather than left to the model:

3. Ranking

The All-Time Consensus list orders books by three things, in this order:

  1. Different podcasts. How many separate shows endorsed or critiqued the book. Three shows recommending a book once beat one host recommending it four times.
  2. Conversations. How many episodes endorsed or critiqued it. Several mentions in one episode count once.
  3. Mentions. All published mentions, as a final tie-breaker.

A book gets its own page in search results once it has been endorsed or critiqued in at least two different conversations. Everything else is still on the site, just not offered to search engines yet.

4. Checking the moment

5. The written summaries

The short lines on each book page (what the book is, why it was recommended, who it suits) are written by an AI model from the quotes on that page and checked against fixed rules: no marketing language, no claims nobody made. The quotes themselves are the record; the summaries are a guide to them.

Podcasts we follow

Spotted a mistake, or a podcast we should add? Get in touch.