PLAY PODCASTS
AI Search Data Reveals How Users Actually Think
Episode 9

AI Search Data Reveals How Users Actually Think

AI SEO & Business Automation Podcast

February 27, 202617m 57s

Audio is streamed directly from the publisher (media.transistor.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

James Dooley speaks with Benjamin Tannenbaum about what people ask in ChatGPT, Gemini and other large language models because AI search changes query structure and compresses the funnel. They explain that prompts are longer, more specific and often more personal than Google keywords or Reddit posts, which forces marketers to adjust content coverage and distribution. Benjamin Tannenbaum describes search density, one shot behaviour, and why brands should update key pages for high priority intents because relevance to specific constraints increases selection in AI answers.

Topics

AI search queriesLLM search behaviourJames DooleyBenjamin TannenbaumISO AISOsearch density