How to rank better for AI query fan out? (James Dooley Interviews Luis Salazar Jurado)
James Dooley speaks with Luis Salazar Jurado about how to rank for AI query fan out queries as search moves beyond keywords and towards entities. Luis explains how Google and LLMs gather, structure, and expand information across multiple interfaces including AI Overviews, AI Mode, and voice search. They break down how to define an entity, map its attributes, analyse SERPs, and reverse engineer related searches to uncover hidden query expansion paths. The discussion also covers brand new entities with no search demand, how structured on-site content creates the first semantic relationships, and why third party corroboration is critical to avoid becoming an isolated entity. The episode provides a clear, practical framework for building visibility, trust, and relevance in AI-driven search systems.
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Creators and Guests
Guest
Luis Salazar Jurado
Luis Salazar Jurado is a semantic SEO expert who works across eCommerce and SaaS because his background in web development shaped a precise understanding of how platforms operate under the hood. He blends development, analytics, and search optimisation because this mix strengthens technical performance and semantic clarity. He focuses on Technical SEO and Semantic SEO because improving structure, crawlability, indexability, content semantics, topical authority, and strategy aligns sites with how search engines interpret meaning. He is fluent in frameworks such as React, Nuxt, and Node.js because handling complex builds demands development led SEO. He is also a regular guest on James Dooley’s shows, including the Semantic SEO Podcast and the Fatrank Podcast, because his expertise consistently adds depth, accuracy, and advanced insight for listeners.
