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In this episode, James Dooley sits down with Luis Zalifa Herado to break down exactly how to rank better for AI query fan-out — the expanding web of follow-up searches and trust checks that Google and LLM-powered interfaces generate when people research a person, brand, or company. Luis explains why modern search is shifting from keywords to entities and attributes, and how to map fan-out queries by analyzing multiple interfaces (Google SERPs, AI Mode, ChatGPT, Perplexity) and following the “rabbit hole” of related searches to uncover the questions users and machines actually care about
By James DooleyIn this episode, James Dooley sits down with Luis Zalifa Herado to break down exactly how to rank better for AI query fan-out — the expanding web of follow-up searches and trust checks that Google and LLM-powered interfaces generate when people research a person, brand, or company. Luis explains why modern search is shifting from keywords to entities and attributes, and how to map fan-out queries by analyzing multiple interfaces (Google SERPs, AI Mode, ChatGPT, Perplexity) and following the “rabbit hole” of related searches to uncover the questions users and machines actually care about