James Dooley Podcast

Want a clear view of where SEO is heading as AI takes over the front end of search. In this conversation, James Dooley sits down with Dan Petrovic to break down what actually drives visibility in LLM answers, AI Mode results, and RAG systems. Dan explains why “selection” matters more than clicks, how models pull short extracts rather than full pages, and why condensed, high-substance writing wins when the machine only sees a slice of your content. They dig into query fan out, why prompt tracking is mostly a distraction, and how to probe model confidence to find the weak spots in how AI understands your brand.

The episode also covers practical tactics for improving AI recommendations, including citation mining, lookalike content that matches what gets cited, and outreach strategies that get your brand included inside the sources AI already trusts. Dan shares a real case study showing the difference between fast wins through traditional SEO signals in grounding, versus slower influence that only appears when a new model version is released. If you care about brand visibility in 2026 search, this is a no-fluff blueprint for how to think and what to test.

Where to Listen to This Episode

The Future of AI SEO - Futuristic Ideas of SEO & AI (James Dooley Interviews Dan Petrovic) is available across all major podcast platforms. Choose your preferred platform below.