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In this episode of the James Dooley Podcast, James Dooley is joined by SEO expert Charles Floate to discuss Selection Rate Optimisation (SRO) and how it impacts visibility in AI search. They break down how large language models like ChatGPT select sources when generating answers, why only a small number of sources are chosen, and how SEOs can optimise their content to be included in those selections. James Dooley and Charles Floate also explore content chunking, semantic structure, question-based headings, entity signals, and the importance of third-party corroboration across the web. The conversation highlights how building brand authority, trust signals, and consensus across multiple sources can improve your chances of being selected by AI systems. This episode is packed with insights for SEOs looking to understand how AI search works and how to optimise content for the next generation of search engines.
By James DooleyIn this episode of the James Dooley Podcast, James Dooley is joined by SEO expert Charles Floate to discuss Selection Rate Optimisation (SRO) and how it impacts visibility in AI search. They break down how large language models like ChatGPT select sources when generating answers, why only a small number of sources are chosen, and how SEOs can optimise their content to be included in those selections. James Dooley and Charles Floate also explore content chunking, semantic structure, question-based headings, entity signals, and the importance of third-party corroboration across the web. The conversation highlights how building brand authority, trust signals, and consensus across multiple sources can improve your chances of being selected by AI systems. This episode is packed with insights for SEOs looking to understand how AI search works and how to optimise content for the next generation of search engines.