Embedding Geometry: Why Topic Coherence Beats Keywords AI search retrieves by meaning, not keywords. Here is why topic coherence at the passage level determines what gets cited and how you structure content.

AI retrieval finds the closest point in vector space to the query. A section covering multiple topics ends up between clusters, retrieved for nothing. One section, one question, that's what produces a tight embedding.
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