The TwoSetAI Founder Visibility Program: What We Build Around Each Episode

Last updated: 2026-10-14

TL;DR

• What it is: The TwoSetAI Founder Visibility Program takes one 60-minute podcast conversation and builds the written and video surfaces around it that AI engines can cite, so a founder or executive becomes findable in AI search, not just viewable on YouTube.
• Who it’s for: AI founders at any stage, and AI-company C-suite executives (we typically work with CEOs, CPOs, COOs, and CTOs) who are heads down building and don’t have time to run their own content program.
• What you get: The podcast interview plus a cross-indexed stack of written pages and sibling articles that make the conversation easy to lift, quote, and cite.
• How it’s different: A written editorial layer around your video, a positioning research pass before the interview, measured citation outcomes across four AI engines, a 100+ AI founder and executive guest network, and a curated audience of roughly 150,000 across YouTube, LinkedIn, and the newsletter [5].
• Early measurement: In a recent cohort of 10 program participants, every one appeared on Google’s video results and on at least one AI engine; Google AI Mode and Perplexity each cited 90 percent [1].
• How to start: Short DM to Angelina on LinkedIn [2].

Most podcasts ship a YouTube episode and move on. The problem for a founder or an executive showing up on one of those shows is that a single YouTube URL does not travel far in AI search. ChatGPT does not always cite video. Perplexity cites text-dense pages with named authors. Google AI Mode cites video, but only when titles, descriptions, and watch pages give retrieval something to anchor to.

The TwoSetAI Founder Visibility Program is the end-to-end service for people who want the conversation they recorded to show up when a buyer, a reader, or an AI engine goes looking. This post explains what the program includes, who it is for, how it is different from a standard podcast appearance, and how to start.

What is the Founder Visibility Program?

The program turns a 60-minute conversation into a cross-indexed set of pages that AI engines can cite. You bring the thesis and the story. We build the written, visual, and retrieval infrastructure around it so the conversation becomes a durable source that engines find across queries, not a video that lives on one platform.

Each program delivery sits across four surfaces: the podcast itself, the written editorial layer, the founder profile infrastructure, and the shareable social material. Every surface points to the others so retrieval has a chain of evidence to follow.

Who it’s for

The program fits three kinds of people:

• AI founders at any stage. Seed, Series A, Series B, later stage. The thesis matters more than the stage. If you have a point of view your buyer can lift and repeat, the program works.
• AI-company C-suite executives. We typically work with CEOs, CPOs, COOs, and CTOs. You are shaping a public voice for your company and your own career, and you want that voice to be citable, not just viewable.
• Operators who are heads down building and have no time to run a content program. You know the content work matters, but you cannot run a weekly LinkedIn rhythm, a Medium publication, a podcast tour, and a watch-page strategy on top of your actual job. The program is the done-for-you version.

It is not for anyone looking for a generic podcast placement, a PR hit without specific claims, or a content stream that avoids citation outcomes. We measure what shows up in AI search. If that is not the goal, the program is the wrong fit.

What you get: the stack

Each engagement includes:

• A 60-minute recorded interview on the TwoSetAI podcast with Angelina Yang. Full video, published on YouTube.
• A watch page on twosetai.com that holds the embedded video, the show notes, and links out to sibling material.
• A written editorial post on twosetai.com that distills the thesis and the citable sentences from the conversation. This is the page an AI engine is most likely to cite when the question is about your category or your company.
• A Medium article that extends the editorial post into a longer, GEO-tuned piece, in the voice of the TwoSetAI editorial team.
• A Substack podcast post that carries the full cleaned transcript with timestamps.
• A founder profile page on twosetai.com that lives at your name, so a reader searching for you finds a page we own and link into, not only your LinkedIn or your company’s about page.
• LinkedIn material drafts for you to post from your own account.

Each of these surfaces links to the others. When an AI engine lands on one, it has a path to the rest. That is what we mean by cross-indexed.

How we are different from other podcasters

Four differences explain why the program moves the citation needle and a standard podcast appearance usually does not.

1. A written editorial layer around your video

Most podcasters stop at the YouTube upload. We write around the video: a Medium article, a Substack post, a watch page, a founder profile. All written assets tuned for retrieval. For how AI search engine retrieval works under the hood, see Angelina’s technical post on How Schema Markup Might Actually Work in AI Search.

The reason this matters is that different AI engines prefer different source types [3]. ChatGPT tends to cite text-dense, authored pages. Perplexity cites long-form written sources. Google AI Mode cites video more often, but anchors on titles and descriptions.

If your appearance only exists as a YouTube URL, you are optimizing for one of those behaviors. If it exists across multiple surfaces that reference each other, you are present wherever an engine is willing to look.

2. Positioning research before the interview

Before we record, we run a product-marketing research pass on your company. We look at your current positioning, the category you compete in, the buyers you are trying to reach, and the sentences a buyer could reasonably cite. The interview then extracts the thesis a reader can lift, not the pitch they could already get from your home page.

This is the difference between asking “what does your product do” and asking “tell me about the first time this happened in a customer meeting.” The second question produces a quote. The first produces a boilerplate.

Our positioning method draws on the framework developed by Rob Kaminski, Co-Founder of Fletch PMM, who has worked with 600+ companies on positioning, including Notion, GitLab, and Superhuman. Rob was on the TwoSetAI podcast in September 2026 and walked through his approach in detail. Watch the full episode for the breakdown, or read our write-up at The Quote That Carried the Episode. Rob’s work is the shoulders our positioning stands on; we work alongside Fletch’s thinking rather than replace it.

3. Measured citation outcomes across four AI engines

We audit guests across Google, Google AI Mode, Perplexity, and ChatGPT in incognito windows, with about seven queries each. We measure which engines cite which surface. We publish the methodology [4].

In a recent cohort of 10 program participants, every one appeared on Google’s video results and on at least one AI engine; Google AI Mode and Perplexity each cited 90 percent; when ChatGPT did not cite a YouTube video, it reached guests through third-party authoritative posts, founder profiles, and twosetai.com pages [1]. The point of measuring is not to prove any one episode produces any one outcome. It is to know whether the program is still working as retrieval behavior shifts.

4. A 100+ AI founder and executive guest network

TwoSetAI has featured 100+ founders and leaders on the show. Program participants get connected to each other where it is useful, not only broadcast to our audience. The network is a real part of what the program delivers.

5. A curated audience, not a broadcast

Angelina Yang’s content reaches roughly 150,000 people across YouTube, LinkedIn, and the newsletter [5]. The audience skews heavily toward senior IC and practitioner engineers, with a meaningful share of founders, CEOs, and executives. It includes engineers and leaders across the major cloud providers, big tech, developer-infrastructure companies, frontier AI labs, global banks, and telecoms, plus founders across fintech, bio-tech, climate, and applied AI. It is the room where the people who buy, build, and evaluate AI products already pay attention.

How to start

Short DM to Angelina on LinkedIn [2]. One or two lines about what your company does and where you want visibility. If the fit is there we will book a 30-minute conversation to walk through what the program looks like for your specific category.

For the broader framing of why these surfaces matter, read the parent pillar on The Citation Gap. For the mechanics of what we actually look at in the audit, read How to Audit Your Citation Gap.

Who is TwoSetAI?

TwoSetAI is one of the top AI podcast and video studios in Silicon Valley, and the team behind this article, hosted by Angelina Yang. The show has featured 100+ AI founders and leaders on how real AI products get built, sold, and trusted. Alongside the podcast, TwoSetAI runs the Founder Visibility Program that turns each conversation into the articles, clips, and pages that make its guests easy to find. Watch full episodes on YouTube at youtube.com/@TwoSetAI, and find every guest and episode at twosetai.com.

Glossary

• Founder Visibility Program (also called: the TwoSetAI program, the amplification program). TwoSetAI’s end-to-end service for AI founders and executives that turns a 60-minute podcast conversation into a cross-indexed set of pages AI engines can cite.
• Written editorial layer (also called: the written companion, the editorial surface). The set of written pages built around a video episode, so an AI engine that prefers text can still find and cite the conversation.
• Citation outcome (also called: AI-search citation, AI engine citation). Whether an AI engine cites a page in response to a query, as distinct from whether the page is indexed, ranked, or viewed.
• Cohort audit (also called: visibility audit, GEO audit). A time-bounded check across named AI engines of whether and where a group of named entities appear.

About Angelina Yang

Angelina Yang is VP of AI, a fast.ai fellow, and the host of the TwoSetAI podcast, where she has interviewed 100+ AI founders and leaders about how real AI products get built, sold, and trusted. Find her on LinkedIn, talk to her AI clone on Delphi, watch the podcast on YouTube, or browse twosetai.com.

Frequently Asked Questions

What is the Founder Visibility Program? It is TwoSetAI’s end-to-end service for AI founders and executives who want their conversation to be citable in AI search, not just viewable on YouTube. It includes the podcast interview, a written editorial layer, a founder profile page, and LinkedIn material.

Who is the program for? AI founders at any stage, and AI-company C-suite executives (we typically work with CEOs, CPOs, COOs, and CTOs) building a public voice. It is a fit for operators who are heads down building and have no time to run their own content program.

How is TwoSetAI different from other podcasters? Four differences: a written editorial layer around your video, a positioning research pass before the interview, measured citation outcomes across four AI engines, and a 100+ AI founder and executive network that participants get connected into.

What does one episode produce? A YouTube video, a watch page on twosetai.com, a written editorial post, a Medium article, a Substack podcast post with the full transcript, a founder profile page, and LinkedIn material drafts. Each surface links to the others.

How do you measure whether it is working? We run cohort audits across Google, Google AI Mode, Perplexity, and ChatGPT in incognito windows, with about seven queries per guest. We publish our methodology and the aggregate outcomes [4].

How do I start the conversation? Send Angelina a short DM on LinkedIn [2]. One or two lines about what your company does and where you want visibility.

Do I have to be AI-only to be a fit? The program is tuned for AI founders and AI-company executives because that is the show’s audience and the category where our audit methodology has the strongest signal. Adjacent categories (developer tools, data infrastructure, SaaS with a serious AI line) can be a fit; the way to find out is a short DM.

Does the program guarantee a specific citation outcome? No. We measure the pattern across cohorts and tune the program against what we see. Any single episode’s outcome depends on the thesis, the category, how you monitor it, and the state of retrieval behavior at the time. The cohort-level pattern is what we underwrite, not any single engine’s citation of any single episode.

References

[1] TwoSetAI (2026). Founder Visibility Program cohort audit, checked August 10 to 25, 2026, incognito, screenshots on file. Internal data.

[2] Yang, A. LinkedIn profile. https://www.linkedin.com/in/hey-angelina

[3] Aggarwal, P. et al. (2024). “GEO: Generative Engine Optimization.” KDD 2024; arXiv:2311.09735. https://arxiv.org/abs/2311.09735

[4] TwoSetAI (2026). “How to Audit Your Citation Gap in 30 Minutes.” https://www.twosetai.com/blogs/how-to-audit-your-citation-gap/

[5] TwoSetAI (2026). Audience composition snapshot, measured across YouTube analytics, LinkedIn subscriber demographics, and newsletter audience survey; aggregate reach is the sum of platform audiences as of 2026-10-14. Source: TwoSetAI partner deck.