Perplexity

How to Measure AI Visibility: Are You Getting Found by AI or Are Your Competitors? | Ep.285

Aug 26, 2026 · 17:20

Bill Corcoran Jr., host of the bcjr Podcast, argues AI visibility should be measured as a pattern across customer questions—not one ChatGPT screenshot or visibility score—across ChatGPT, Google AI Overviews, Gemini, and Perplexity. He separates recognition from discovery—AI knowing your name isn't the same as being found by buyers who've never heard of you. When a competitor keeps showing up, don't automatically create more content—first ask whether you're losing or not being considered at all. Scores are meaningless without knowing which questions were tested, and gains after publishing may reflect competitor losses or algorithm changes. Good measurement should tell you what to do next—the thinking behind his Podcast-Powered AI Visibility™ system.

What Is Podcast-Powered AI Visibility & How Can It Improve Your Business’s Discoverability? | Ep.283

Aug 6, 2026 · 25:01

Bill Corcoran Jr. introduces Podcast-Powered AI Visibility, a system using a recurring video podcast to create structured, searchable, answer-ready content that helps AI platforms and Google understand and recommend a business. He outlines five steps—Record, Build, Multiply, Connect, Measure—to turn expertise into a 360 content engine, serving professional and home-service firms, and stresses it is not about becoming a podcaster. Corcoran cites results: one episode ranked first on Google and was cited by AI within 19 hours, and several episodes have ranked top 3 on Google and been cited by Google AI overviews. He distinguishes it from podcast production and SEO, combining structure, connection, and measurement, and offers a free AI Visibility Assessment at billcorcoranjr.com/assessment.

How To Build a Content Engine Using Video Podcasts for AI Discoverability and Brand Growth | Ep.282

Jul 29, 2026 · 24:37

Bill Corcoran Jr., host of the bcjr Podcast, argues that a solo-hosted video podcast is the engine of a content marketing system that optimizes for SEO, AEO, and GEO together. He explains these as the lemonade stand sign, the clearly written recipe AI assistants read aloud, and the bigger story AI tools weave into longer answers. A real system, he says, requires topics from real client questions, a consistent weekly rhythm, a structured workflow, and a feedback loop. He details a weekly engine: pick questions like those from a personal injury attorney, real estate broker, or financial advisor; use a fixed episode spine with a hook and three to five sections; publish to YouTube, podcast platforms, and a transcript page; and refine based on what clients mention.