ai search
Ask a question, get back exactly where it's answered.
AI Search reads a podcast transcript for you and reports back with verbatim quotes and timestamps, for whatever you're looking for: a brand, a person, a claim, a recommendation. It's not a keyword search, it understands the instruction. Below is a real result, not a mockup.
"books recommended or referenced by title, with the author if mentioned"
-
“Elizabeth Gilbert is the author of Eat Pray Love Big magic. And city of girls.”
Tim Ferriss introduces Elizabeth Gilbert by listing several of her authored books. 1:54
-
“Joy Carol Oates has written more than seventy books, including Blonde And we were the Mulvanies. and won the National Book Award for her novel Them.”
Tim Ferriss introduces Joyce Carol Oates by naming several of her well-known novels. 13:06
-
“Mary Carr wrote the best selling memoirs. The Liers Club? Cherry and Lit And her book on writing. The Art of Memoir.”
Tim Ferriss introduces Mary Karr by listing her prominent memoirs and her book on writing. 26:29
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“Seth Godin has written twenty-one bestsellers published in forty languages, and Including Purple Cow? Lynchpin. And the practice.”
Tim Ferriss introduces Seth Godin by listing several of his bestselling business and creative books. 45:07
Captured 2026-08-31 from the live API, four of eleven results shown. Read the full transcript at /t/a7c18c255b33d645 to verify these are real quotes from a real episode.
This isn't RAG
The usual way "AI search" works is retrieval: chop the transcript into chunks, embed them, find the handful that look most similar to your query, and only show the model those. Anything phrased differently than your query, or split awkwardly across a chunk boundary, can get missed, and there's no real way to know that happened.
AI Search doesn't retrieve, it reads. The whole episode transcript goes to the model in one pass, and it's instructed to find every genuine match, not the closest-sounding pieces. A "not found" result means the model looked at the entire episode.
This is what runs Bookmenti
Bookmenti is Podmenti's sibling product: a searchable index of every book mentioned across a curated set of podcasts. It's built by giving an AI model an instruction like the one above and running it against every new episode as it's transcribed. That pipeline already processes thousands of episodes. AI Search is that same extraction engine, made available on demand, pointed at any episode and any instruction you give it, not just books.
The same thing, in code
One call, one JSON answer. This is the request that produced the result above, and the complete response, every mention, exactly as the API returned it.
request
curl -s -X POST https://podmenti.com/api/v1/ai-search/query \
-H "Authorization: Bearer pm_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"transcript_id": "a7c18c255b33d645",
"topic": "books recommended or referenced by title, with the author if mentioned"}' response
{
"transcript_id": "a7c18c255b33d645",
"topic": "books recommended or referenced by title, with the author if mentioned",
"found": true,
"summary": "The podcast transcript references several books by title and author, including works by Elizabeth Gilbert, Anne Lamott, Jerry Seinfeld, Mary Carr, Brandon Sanderson, and Seth Godin.",
"mentions": [
{
"quote": "Elizabeth Gilbert is the author of Eat Pray Love Big magic. And city of girls.",
"context": "Tim Ferriss introduces Elizabeth Gilbert by mentioning several of her books.",
"timestamp_seconds": 114.6,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=114"
},
{
"quote": "Anne Lamott is the author of twenty books. Including Bird by bird. Operating instructions. And help. Thanks. Wow.",
"context": "Tim Ferriss introduces Anne Lamott, listing several of her authored books.",
"timestamp_seconds": 387.1,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=387"
},
{
"quote": "I'm gonna ask a question that no doubt you've been asked before, but I have to ask What do you think it is about bird by bird? that affected so many people so deeply.",
"context": "Tim Ferriss asks Anne Lamott about the impact of her book Bird by Bird.",
"timestamp_seconds": 402.1,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=402"
},
{
"quote": "He he's uh Neil Allen. He wrote Shapes of Truth.",
"context": "Anne Lamott mentions her husband Neil Allen's book Shapes of Truth while discussing inner critic work.",
"timestamp_seconds": 654.4,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=654"
},
{
"quote": "Joy Carol Oates has written more than seventy books, including Blonde And we were the Mulvanies. and won the National Book Award for her novel Them.",
"context": "Tim Ferriss introduces Joyce Carol Oates and references several of her books.",
"timestamp_seconds": 786.7,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=786"
},
{
"quote": "And wrote Is this anything?",
"context": "Tim Ferriss mentions Jerry Seinfeld's book Is this anything? during his introduction.",
"timestamp_seconds": null,
"listen_url": null
},
{
"quote": "I picked up this book uh by Bill Phillips called Body for Life.",
"context": "Jerry Seinfeld talks about using Bill Phillips's book Body for Life to help him get in shape.",
"timestamp_seconds": 1254.8,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=1254"
},
{
"quote": "Mary Carr wrote the best selling memoirs. The Liers Club? Cherry and Lit And her book on writing. The Art of Memoir.",
"context": "Tim Ferriss introduces Mary Carr and lists her memoirs and her book on writing.",
"timestamp_seconds": 1589.3,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=1589"
},
{
"quote": "Brandon Sanderson created the Mistborn and Stormlight archive series.",
"context": "Tim Ferriss introduces Brandon Sanderson, referencing his major series.",
"timestamp_seconds": 2110.6,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=2110"
},
{
"quote": "I read uh On Writing by Stephen King and How to Write Sci Fi and Fantasy by Orson Scottkard.",
"context": "Brandon Sanderson discusses reading books by Stephen King and Orson Scott Card while studying writing before breaking in.",
"timestamp_seconds": 2304.3,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=2304"
},
{
"quote": "Seth Godin has written twenty-one bestsellers published in forty languages, and Including Purple Cow? Lynchpin. And the practice.",
"context": "Tim Ferriss introduces Seth Godin by listing several of his best-selling books.",
"timestamp_seconds": 2707.2,
"listen_url": "https://podmenti.com/t/a7c18c255b33d645#t=2707"
},
{
"quote": "First twenty years ago. I wrote a book called Permission Marketing.",
"context": "Seth Godin discusses writing his early book Permission Marketing.",
"timestamp_seconds": null,
"listen_url": null
},
{
"quote": "And thanks to Malcolm. He sent me he was unknown. He sent me this new book called The Tipping Point.",
"context": "Seth Godin recounts receiving Malcolm Gladwell's book The Tipping Point.",
"timestamp_seconds": null,
"listen_url": null
},
{
"quote": "And 10 years later, the same 2010 you're saying. I wrote a book called Lynchpin.",
"context": "Seth Godin talks about writing his book Lynchpin.",
"timestamp_seconds": null,
"listen_url": null
}
],
"credits": 8
} What else it's for
- Brand and product mentions every time our product, or a named competitor, comes up
- People and guests whenever a specific person's name is mentioned
- Claims to fact-check any statistic or claim about a specific topic
- Recommendations tools, books, restaurants, anything a host recommends
A common pattern: monitor every episode of a show for mentions of your company, your product or your name. Continuous monitoring with a webhook isn't built yet, one query at a time is, see the API docs.
1 credit a query, on every plan.
Free accounts get 10 credits a month, no card. That is 10 queries, or the same number of library episodes, or ten hours of new transcription.