Semantic Overlays vs Vector Databases
The transition from lexical matching to dense vector search has changed how content is catalogued. Instead of matching exact string patterns, search engines map questions and answers into high-dimensional vector spaces, calculating relevance using cosine similarity. This means pages with completely different wording can rank if their semantic intent matches.
The Death of Page-Level Keyword Optimization
Traditional on-page SEO targeting isolated keywords is obsolete. Today's search engines group pages into topic clusters. If a cluster does not comprehensively cover a subject, individual articles will fail to rank. Topical coverage is now a heavier ranking weight than direct backlink counts.
Core Actions for Topic Authority
To survive the transition, teams should focus on building comprehensive guides that cover broad parent subjects, linked structurally to highly focused child articles. This signals deep topical coverage to vector indexes.