The Truth About AI Personalisation in ChatGPT and Gemini ...

What this episode covers

James Dooley interviews Benjamin Tanenbaum from AISO about how personalization works inside large language models such as ChatGPT and Gemini. Benjamin Tanenbaum explains why AI search results change between users because models combine randomness, query fan out and contextual signals like location and conversation history. He shows that many differences in answers are not true personalization but distribution of possible responses, which means brands should measure visibility as share of voice rather than fixed rankings. The discussion matters because marketers must optimise content for LLM search even when answers vary, since stronger optimisation increases the probability of being cited in AI generated responses. Where to Listen to This Episode The Truth About AI Personalisation in ChatGPT and Gemini is available across all major podcast platforms. Choose your preferred platform below. Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Transistor Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Pocket Casts Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Amazon Music Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Entity Home Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Spotify Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Podverse Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Pod.link Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Truefans Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Castro Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Castbox Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Podcast Addict Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Deezer Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Rephonic Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Player FM Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Listen Notes Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Podcast Guru Listen to The Truth About AI Personalisation in ChatGPT and Gemini on Podchaser

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Frequently Asked Questions

How long is this episode of Fatrank Podcast?

This episode is 15 minutes long.

When was this Fatrank Podcast episode published?

This episode was published on March 9, 2026.

What is this episode about?

James Dooley interviews Benjamin Tanenbaum from AISO about how personalization works inside large language models such as ChatGPT and Gemini. Benjamin Tanenbaum explains why AI search results change between users because models combine randomness,...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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