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How AI "Re-Ranks" Google's Search Results (And How to Win)

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Did you know Google "re-ranks" search results using AI that is trained on user data and quality rater scores? In this video, I break down revelations from the DOJ trial, including the "Glue" system, RankEmbed BERT, and why user satisfaction is now the most critical factor for SEO. 00:00 - Intro: Why user satisfaction is the most important ranking factor. 00:49 - Google’s Quality Raters Guidelines & Helpful Content documentation. 01:36 - Marie’s Theory: Traditional algorithms vs. AI re-ranking systems. 02:35 - Why Google says "Don’t chunk your content" (Danny Sullivan). 03:00 - Vector Search & Embeddings: How AI retrieval actually works. 05:40 - The DOJ vs. Google Trial: Leaks on user-side data. 07:44 - The "Glue" System (NavBoost): How Google tracks clicks & hovers. 09:03 - "Instant Glue": How search adapts to new intent (Nice vs. nice). 10:20 - RankEmbed BERT: The deep learning model Google hid. 12:21 - How AI re-ranks the top search results. 13:03 - BERT Training: Wikipedia, Books Corpus... and romance nov