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VesterlundCoder / Proxies-for-Google-LaBSE-Evaluating-Low-Cost-Sentence-Embedding-Models-for-Semantic-SEO

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Comparative analysis of sentence embedding models as low-cost proxies for Google LaBSE in Semantic SEO, AI Search, content relevance, link relevance and topical authority scoring. The coding stack for the analysis is stored here.

code seo python3 graph-theory applied-mathematics seo-optimization cosine-similarity embedding-models mathematical-modelling ai-search applied-data-science applied-machine-learning embedding-vectors google-algorithms ai-algorithms link-graph ai-search-optimization seed-sites
  • Updated Nov 16, 2025
  • Python

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