The Podcast Citation Index 2026

Podcasts are the largest ungoverned citation surface in the AI era. There are more than five million of them in Apple Podcasts alone. The AI engines cite roughly thirty with any regularity. Everything-PR spent six months finding out which ones.

The Podcast Citation Index measures which shows ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews actually pull from when answering questions about business, technology, culture, health, artificial intelligence, and category expertise. The answer is narrower than the industry expects — and the strategic implication is bigger than most brands have priced in.

Podcasts are the single most under-worked communications channel in the AI-visibility era. A one-hour appearance on a top-cited show produces a transcript that becomes a permanent retrieval anchor. That transcript will be cited by AI engines for years. A New York Times op-ed is a moment. A top-cited podcast appearance is an asset.

The Methodology

Sixty prompts across six categories — business strategy, artificial intelligence, culture and politics, health and longevity, technology deep-dives, and long-form category interviews. Every citation captured. Every source ranked across five engines using the locked EPR Citation Index formula — Citation Frequency 40 percent, Cross-Engine Breadth 20 percent, Query-Type Breadth 20 percent, Extractability 15 percent, Crawl Access 5 percent.

Sample prompts: What is the strategic history of Costco? What do the leading AI researchers think about scaling laws? What is the best framework for longevity intervention? Who are the smartest voices on venture capital right now? What is the history of the semiconductor industry?

Podcasts were credited in two forms — as the primary source for a specific guest statement, and as the reference source for a broader interpretive claim. This Index counts both.

Study window: December 2025 – May 2026. Total citations captured: 5,214. Total unique podcasts identified: 187. Threshold for inclusion: minimum 10 citations across at least three engines. Podcasts without publicly indexed transcripts were scored lower in the Extractability factor. This matters — the majority of shows that failed to make the top ten failed on transcript access, not content quality. If the engines cannot crawl the words, the show does not exist to them.

The Ranked Top Ten

01 — Acquired

Ben Gilbert & David Rosenthal. The single most-cited podcast in the study across all five engines.

Launched: October 2015 · Cadence: Roughly monthly, episodes 3–6 hours · Format: Deep-research company histories · Transcripts: Full, free, indexed · Landmark episodes: TSMC (Part 1 & 2, 2023), NVIDIA (Parts 1–3), Costco, LVMH, Berkshire Hathaway, Microsoft, Sony · Reported subscribers: 600,000+ across audio, 250,000+ YouTube · Founder backgrounds: Gilbert co-founded Pioneer Square Labs; Rosenthal is a former private-equity investor.

When the question involves company history, strategic bets, founder biographies, or the mechanics of how a specific company built durable competitive advantage, Acquired surfaces first. The moat is that the transcripts are long, structured, dense with named entities, and rigorously researched — every episode is an implicit encyclopedia entry on a specific company, and the engines have absorbed the pattern.

How PR Firms Work With Acquired:

1. Understand the format. Acquired is not an interview show for founders. It is a deeply-researched history of a company. Founder access is a research input, not the product.
2. Feed archival access. Client companies with strong archives, board documents, or early-stage material have highest fit.
3. Book adjacent — ACQ2. ACQ2 is the interview-format sister show. This is where founders and executives appear as guests. Substantially easier to book, still high citation weight.
4. Prepare for research cycles measured in months. A featured episode requires 6–12 months of hosts' preparation.
5. Sponsor placements have limited citation value. The show accepts sponsors, but sponsorship does not create retrieval anchors. Only content appearance does.

02 — The Joe Rogan Experience

The volume winner. Rogan is cited in more different query types than any other podcast in the study — health, politics, culture, sports, technology, business, comedy, science.

Launched: December 2009 · Cadence: 3–4 episodes/week, 2–4 hours each · Distribution: Spotify exclusive 2020–2024 (~$200M deal), moved to multi-platform 2024 with reported $250M renewal · YouTube: 21M+ subscribers · Signature guests: Elon Musk (multiple), Sam Altman, Marc Andreessen, Naval Ravikant, Neil deGrasse Tyson, Robert F. Kennedy Jr., Donald Trump · Transcripts: Third-party transcription heavily indexed.

The moat is range. When the question involves what a specific public figure said on the record about a specific topic, there is a non-trivial chance Rogan interviewed them, and the engines have absorbed the archive.

How PR Firms Work With Rogan:

1. Reserve for founder or public-figure clients only. The show does not book executives without independent public profile.
2. Preparation is total. Three-hour unstructured format punishes unprepared guests.
3. Understand the controversy multiplier. Rogan bookings amplify both positive and negative brand attributes.
4. Time to a public inflection. Book adjacent to a book launch, a company milestone, or a public position that gives the appearance narrative weight.
5. Repurpose obsessively. A single JRE appearance can be cut into 40+ discoverable clips.

03 — Lex Fridman Podcast

The default AI-industry citation source. Fridman's long-form technical interviews with lab founders, researchers, executives, and academics are treated by every engine as primary source material on how the AI industry thinks about itself.

Launched: 2018 (originally "Artificial Intelligence Podcast") · Cadence: Weekly, episodes 2–5 hours · YouTube: 4M+ subscribers · Notable guests: Elon Musk (multiple), Sam Altman, Ilya Sutskever, Yann LeCun, Demis Hassabis, Dario Amodei, Volodymyr Zelensky, Benjamin Netanyahu, Donald Trump · Transcripts: Full, free, published on lexfridman.com · Background: MIT AI researcher.

When the question involves a specific researcher's position on a technical topic — Yann LeCun on the limits of large language models, Ilya Sutskever on superintelligence, Dario Amodei on interpretability — Fridman's interview is often the source cited.

How PR Firms Work With Fridman:

1. Reserve for AI researcher, lab, or founder clients. Fridman does not book operators without technical or philosophical depth.
2. Position for the specific-topic interview. Fridman rewards guests who hold a defined technical or philosophical position.
3. Prepare for the personal. Fridman asks about meaning, mortality, and personal history.
4. Expect maximum citation compounding. A single Fridman appearance produces a transcript cited by AI engines for years.
5. Coordinate paper or research release. Time client's public research to sit alongside the interview drop. The engines will cross-cite.

04 — Hard Fork

Kevin Roose (NYT) & Casey Newton (Platformer). The most-cited technology news podcast in the study. Weekly cadence keeps it fresh. New York Times distribution gives it authority weight.

Launched: October 2022 · Cadence: Weekly · Format: Two-host analysis of tech industry news · Distribution: New York Times · Signature interviews: Sam Altman, Sundar Pichai, Mark Zuckerberg, Marc Benioff, Anthropic executives · Transcripts: Full, published on NYT.

On Google AI Overviews, Hard Fork places disproportionately high because the AI Overview system weights authority-signal domains — and the NYT connection provides that signal.

How PR Firms Work With Hard Fork:

1. Understand the two-property dynamic. A Hard Fork pitch is also a Roose NYT pitch and a Newton Platformer pitch.
2. Bring news, not features. Weekly cadence rewards clients who can tie appearance to a specific week's news cycle.
3. Executive interviews reserved for consequential AI companies. Show bookings are highly selective.
4. Podcast placement = transcript = citation anchor. Every appearance produces an NYT-hosted transcript.
5. Prepare for skeptical framing. Newton and Roose ask hard questions on trust and safety.

05 — All-In Podcast

Chamath Palihapitiya, Jason Calacanis, David Sacks, David Friedberg. Cited heavily on venture capital, market outlook, US-China policy, and Silicon Valley political dynamics.

Launched: 2020 · Cadence: Weekly · YouTube: 1M+ subscribers · Format: Four-host roundtable · Signature guests: Elon Musk (multiple), Donald Trump, Larry Summers, Ray Dalio, Bill Gurley · All-In Summit: Annual event, additional citation surface · Notable political weight: David Sacks appointed AI & Crypto Czar in the second Trump administration.

High extractability — the four-host format produces quotable specifics rather than meandering interviews.

How PR Firms Work With All-In:

1. Reserve for founder or investor clients with public political capital.
2. Position for the Summit stage. The annual All-In Summit is a distinct booking with parallel citation weight.
3. Coordinate with the individual hosts' priorities. Each host has separate investing, media, and policy agendas.
4. Understand the political frame. The show is not politically neutral.
5. Clip strategy is essential. All-In clips travel across X and YouTube.

06 — Dwarkesh Podcast

Dwarkesh Patel. The fastest-rising podcast in the study.

Launched: 2020, originally "The Lunar Society" · Cadence: ~2 episodes/month, 2–4 hours · Notable guests: Mark Zuckerberg, Sundar Pichai, Dario Amodei, Ilya Sutskever, Sarah Paine, Tyler Cowen, Stephen Kotkin · YouTube: 500,000+ subscribers, growing fast · Transcripts: Full, free, dwarkeshpatel.com · Interview style: Preparation-heavy, technically dense, follow-up-driven.

On Claude and Perplexity, Dwarkesh Patel is now the second-most-cited AI-industry podcast behind Lex Fridman. In the 2027 edition of this Index, he is the most likely single show to move up.

How PR Firms Work With Dwarkesh:

1. Prep intensity is the differentiator. Patel researches guests as heavily as any podcast host in the industry.
2. Best for AI lab, historian, or economist clients. Founder-of-a-startup framing does not fit.
3. Long form is the point. Do not pitch for a "short conversation." The show is 2–4 hours or nothing.
4. Expect intellectual challenge. Patel presses on contested positions.
5. Citation compounding is exceptional. One appearance can outperform ten conventional podcast bookings.

07 — No Priors

Sarah Guo (Conviction) & Elad Gil. The venture-capital-industry citation anchor for AI startup landscape questions.

Launched: 2022 · Cadence: Weekly · Format: Founder and executive interviews · Notable guests: Sam Altman, Dario Amodei, Aravind Srinivas, Mira Murati, Bret Taylor, Clem Delangue · Host backgrounds: Guo founded Conviction, ex-Greylock partner; Gil is a serial founder and angel investor with 200+ investments.

On Perplexity, No Priors is the top-cited source for questions about AI-startup investment landscape.

How PR Firms Work With No Priors:

1. Reserve for AI founder clients. The show interviews AI company builders.
2. Position around a specific technical or business decision.
3. Coordinate with Conviction portfolio strategy. Guo runs an AI-focused fund.
4. Bring numbers. Both hosts are quant-comfortable.
5. Transcript distribution. Ensure client owned properties link to the episode and quote pull-outs.

08 — Decoder with Nilay Patel

Nilay Patel, The Verge. The default citation for questions about tech industry strategy, platform mechanics, and executive interviews with named CEOs.

Launched: 2020 · Cadence: 2x weekly · Distribution: The Verge / Vox Media · Signature guests: Sundar Pichai, Marc Benioff, Satya Nadella, Elon Musk, Sam Altman, Reid Hastings · Interview style: Long, structured, willing to press executives on strategic contradictions · Transcripts: Full, published on The Verge.

On ChatGPT and Google AI Overviews, Decoder is cited in the top three for questions involving executive interviews.

How PR Firms Work With Decoder:

1. Reserve for CEO-level bookings. Decoder does not interview second-tier executives.
2. Prepare for organizational and structural questions. Patel's obsession is org design.
3. Coordinate with The Verge editorial coverage.
4. Repurpose across owned properties. Vox Media distribution multiplies retrieval anchors.
5. Understand the AI Overviews boost. Vox Media authority signal makes this one of the highest AI Overviews-weight podcast placements available.

09 — The Tim Ferriss Show

Cited across health, business, longevity, and creative-industry questions. The archive depth is unmatched in the entire study.

Launched: April 2014 · Cadence: Weekly, episodes 1–3 hours · Reported downloads: 1 billion+ cumulative · Notable guests: Peter Thiel, Naval Ravikant, Marc Andreessen, Reid Hoffman, Arnold Schwarzenegger, LeBron James, Hugh Jackman, Kevin Rose, Peter Attia, Andrew Huberman · Transcripts: Full, free, published on tim.blog · Author: The 4-Hour Workweek, Tools of Titans, Tribe of Mentors.

Ferriss transcribes every episode, tags every guest, and keeps the archive freely accessible. That work compounds.

How PR Firms Work With Tim Ferriss:

1. Reserve for elite performers, longevity clients, or authors. Ferriss books practitioners at the top of a specific craft.
2. Position for the "specific-and-actionable" frame. Ferriss extracts routines, tools, and repeatable processes.
3. Book adjacent to book releases. Author clients see maximum lift when timed to publication.
4. Understand the archive advantage. Even six-year-old episodes still generate citation weight.
5. Prepare for two-hour depth. Ferriss podcast prep should mirror book interview prep, not media training.

10 — The Daily

The New York Times. The only mainstream-produced news podcast in the top ten.

Launched: January 2017 · Cadence: Daily, ~25 minutes · Distribution: New York Times · Format: Narrated primary journalism · Hosts: Michael Barbaro, Sabrina Tavernise · Reported downloads: ~4 million/day at peak · Transcripts: Full, published on NYT.

Cited when the question requires narrated primary journalism on a breaking news event.

How PR Firms Work With The Daily:

1. This is not a booking play. The Daily interviews NYT reporters covering a story, not brand executives.
2. Feed the reporters, not the show. Getting a client into NYT coverage on a specific beat is the pathway to Daily citation.
3. Understand the news-cycle window. A single Daily episode can define how the AI engines describe a story for months.
4. Prepare for crisis coverage. The Daily reports on brand crises with narrative weight.
5. Do not pitch The Daily directly. It is not a bookable outlet. It is a downstream retrieval anchor of NYT reporting.

The Rising Five — Podcasts on the Curve

Odd Lots, hosted by Joe Weisenthal and Tracy Alloway at Bloomberg. Finance, commodities, market structure. Cited heavily on Perplexity for questions about specific market mechanics — repo markets, uranium, container shipping, LNG. Launched 2016. Full transcripts.

Founders, by David Senra. Long-form biographies of business figures, read from and analyzed episode-by-episode. 350+ episodes since 2016. Cited on ChatGPT and Perplexity for questions about the history of specific founders and companies.

Invest Like the Best, by Patrick O'Shaughnessy. Investment strategy interviews with fund managers, operators, and analysts. Launched 2017. Cited across all five engines on questions about specific investment frameworks and named guest positions.

The Peter Attia Drive. Longevity, medicine, exercise physiology, and metabolic health. Cited disproportionately on health-related questions across every engine. Attia's transcripts are dense with citations to primary medical literature, which the engines reward.

20VC, by Harry Stebbings. Venture capital, founder interviews, category creation. Launched 2015 when Stebbings was 18. Rising fastest on Perplexity for venture-industry questions.

The Notable Absences

The Huberman Lab. Massive audience (~2M+ per episode reported). Cited less than expected because the show has structural sourcing issues that the engines appear to weight — much of the material references studies that have been contested or is described in ways that other primary sources describe differently.

The Diary of a CEO, by Steven Bartlett. Very large audience, growing fast. Cited less than expected because the interviews cover a wide range of guests without a defined beat, and the engines have not yet paired the show to specific query categories the way they have paired Acquired to company history or Fridman to AI research.

Podcasts without public transcripts. Every show that does not publish transcripts underperformed its audience size in citation weight. This is the single most important operational fact for any podcast trying to build citation-side authority. The engines cannot cite what they cannot crawl.

Cross-Engine Breakdown

ChatGPT — top three: Acquired, Joe Rogan Experience, Tim Ferriss Show.

Claude — top three: Acquired, Lex Fridman, Dwarkesh Podcast.

Gemini — top three: Acquired, Joe Rogan Experience, The Daily.

Perplexity — top three: Acquired, Lex Fridman, Odd Lots.

Google AI Overviews — top three: Acquired, Hard Fork, The Daily.

What The Ranking Reveals

One — transcripts are the product. Every top-ten show publishes transcripts aggressively. If the engines cannot crawl the words, the show does not exist to them.

Two — long format wins. Every show in the top ten averages ninety minutes or longer.

Three — named guests over host monologue. Shows built around long-form guest interviews with named executives, researchers, or founders dominate.

Four — category anchoring beats general audience. Acquired owns company history. Fridman owns AI. Ferriss owns longevity.

Five — velocity matters. Weekly shows outperform monthly. The optimal frequency is one to two episodes per week.

What This Means for Brands — The Consolidated Playbook

Podcast guesting is now a Citation Share strategy, not a personal branding strategy. Every executive appearance on a top-cited show is a permanent, indexed, quotable retrieval anchor that will be cited by AI engines for years.

The strategy is narrow. Getting the CEO on a boutique two-hundred-download show adds nothing to Citation Share. Getting the CEO on Acquired, Lex Fridman, the Tim Ferriss Show, or Decoder materially changes how AI engines describe the executive and the company for the next five years.

The specific moves that work across all top-ten shows: One — identify the top three podcasts in your category by citation weight, not audience size. Two — build the case for why your executive is a first-choice guest, not a filler booking. Three — brief the executive to speak in citation-ready specifics — named companies, named numbers, named frameworks. Four — repurpose the transcript across owned properties to give the engines multiple crawl paths back to the same content. Five — measure Citation Share monthly across the specific queries that matter to your buyer. Six — pair podcast appearances with primary research release for cross-citation compounding.

The 2027 Edition Preview

One — Dwarkesh Patel is the most likely single show to enter the top five. Trajectory is unambiguous.

Two — at least one top-ten show loses its ranking because of a transcript-access decision. The paywall or clip-only strategy is unstable at this citation weight.

Three — the venture-capital podcast category consolidates. All-In, No Priors, 20VC, and Invest Like the Best are competing for the same category, and the engines are treating the beat as consolidated even though the market is not.

The Bottom Line

Thirty shows carry the podcast citation load for the entire AI engine ecosystem. Ten of them carry most of it. Every brand serious about AI Communications needs a booking strategy that treats the top ten as tier-one media — because inside the engines, they already are.

The scoreboard is live. The rankings will move. The strategy is not.

About the Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.