How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) episode artwork

EPISODE · Mar 17, 2026 · 7 MIN

How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate)

from Fatrank Podcast · host James Dooley

What is selection rate optimisation in AI search and why does it matter for SEO in large language models? In this discussion, James Dooley and Charles Flo break down how selection rate optimisation (SRO) works within LLMs such as ChatGPT, Gemini and Perplexity. The conversation explains how AI systems run multiple grounded searches, gather hundreds of potential sources and then select a limited number of trusted documents to build an answer. Charles explains why only a small set of sources are chosen and how content structure, semantic optimisation and authority influence whether a page is selected. They also discuss how content chunking, headings, entity signals and search rankings influence extraction by AI models. The episode also explores the importance of third party corroboration, entity authority, brand reputation signals and positive sentiment across the web to strengthen AI visibility and improve selection rate optimisation in AI search. Where to Listen to This Episode How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) is available across all major podcast platforms. Choose your preferred platform below. Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Transistor Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Pocket Casts Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Amazon Music Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Entity Home Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Spotify Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podverse Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Pod.link Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Truefans Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Castro Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Castbox Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podcast Addict Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Deezer Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Rephonic Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Player FM Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Listen Notes Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podcast Guru Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podchaser

What is selection rate optimisation in AI search and why does it matter for SEO in large language models? In this discussion, James Dooley and Charles Flo break down how selection rate optimisation (SRO) works within LLMs such as ChatGPT, Gemini and Perplexity. The conversation explains how AI systems run multiple grounded searches, gather hundreds of potential sources and then select a limited number of trusted documents to build an answer. Charles explains why only a small set of sources are chosen and how content structure, semantic optimisation and authority influence whether a page is selected. They also discuss how content chunking, headings, entity signals and search rankings influence extraction by AI models. The episode also explores the importance of third party corroboration, entity authority, brand reputation signals and positive sentiment across the web to strengthen AI visibility and improve selection rate optimisation in AI search. Where to Listen to This Episode How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) is available across all major podcast platforms. Choose your preferred platform below. Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Transistor Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Pocket Casts Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Amazon Music Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Entity Home Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Spotify Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podverse Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Pod.link Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Truefans Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Castro Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Castbox Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podcast Addict Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Deezer Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Rephonic Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Player FM Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Listen Notes Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podcast Guru Listen to How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate) on Podchaser

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How LLM Selection Rate Optimisation Works (James Dooley Interviews Charles Floate)

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How long is this episode of Fatrank Podcast?

This episode is 7 minutes long.

When was this Fatrank Podcast episode published?

This episode was published on March 17, 2026.

What is this episode about?

What is selection rate optimisation in AI search and why does it matter for SEO in large language models? In this discussion, James Dooley and Charles Flo break down how selection rate optimisation (SRO) works within LLMs such as ChatGPT, Gemini and...

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