Collection
TwoSetAI's editorial on AI-search visibility for founders. The Citation Gap, Founder-Voice Moat, Editorial Layer, 5-Category Architecture, and the playbook for turning one podcast conversation into lasting presence across ChatGPT, Perplexity, Google AI Mode, and Claude.
The TwoSetAI Founder Visibility Program turns a 60-minute podcast conversation into a cross-indexed set of pages that AI engines can cite. What it includes, who it's for, and how it's different from a standard podcast interview.
Profound, Otterly, Peec.ai, Ahrefs Brand Radar, and Semrush AI Toolkit all do multi-query, multi-engine, daily tracking. The real design flaw is positioning blindness. Two tool failures, two user misuses, and what to measure instead.
A reproducible August 2026 case study: one TwoSetAI episode cited as the top answer on ChatGPT, Perplexity, and Google AI Mode for Alex Berger.
A deep case study on Hector Hernandez's 'visibility breaks first' thesis, the episode packaging we shipped, and the honest Day-0 picture in AI engines.
Perplexity supplies 38.7% of YouTube citations and ChatGPT only 4.4%. Here is what each AI engine reads in a video, and why the gap exists.
Each AI engine picks sources differently. Here's what the vendor docs and citation studies say about how ChatGPT, Perplexity, Google AI Mode, and Claude choose.
What text actually reaches an AI model when you give it a YouTube video, from Whisper transcripts to chapter timestamps, the description, and your watch page.
A 30-minute incognito audit for founders. 20 prompts, 4 engines, a per-run log, and the 15-minute action list that closes the gap.
Microsoft confirmed schema helps. But where in the retrieval pipeline does it actually fit? A mechanism-level breakdown with experiments and a confidence rubric.
A five-step method pre-Series B AI founders can run in one afternoon to surface a voice specific enough for AI engines and buyers to cite.
Being indexed by Google or Bing gets your page into the retrievable pool. Being cited by ChatGPT, Perplexity, or Google AI Mode is a separate outcome.
Why some ghostwritten founder content gets cited by AI engines and most does not, with a voice-provenance test and a 5-item contract rubric.
How to find the one quote that carries an episode: a 4-step mining process with examples from Hector Hernandez, Rob Kaminski, and Jay Hack.
The Buyer Bucket is the tier AI engines place you in. Four tiers, specific sentence patterns, and how to climb from Shallow Summary to Default answer.
Three observable symptoms your buyers are checking ChatGPT, Perplexity, or Google AI Mode first, and the first-step fix for each. A 15-minute self-check.
What retrieval actually does with a founder's transcript: chunking, named-entity co-occurrence, attribution scaffolding, and the sentence shapes that get cited.
Monitoring tools show where AI misses your brand. Positioning decides what AI should say about you. Why the order matters, with tool docs and guest quotes.
The 5-Category Architecture sorts a site into identity, concept, comparison, framework, and persona pages. Here is the evidence for AI search, and its limits.
The Citation Gap is the space between what AI says about your business and what is true. Learn why it opens, how to measure it, and how founders close it.
Why organic founder voice outlasts ghostwritten and paid content in AI search, with patterns from 100+ AI founder interviews and the evidence behind them.
94% of YouTube citations in a 100-million-citation AI study went to long-form video. See what engines read in a video and how founders can use it.