This guide was created to sit alongside my talk at SMX Advanced 2025: Measuring Link Relevance Using Vector Embeddings and Cosine Similarity to show you how to calculate cosine similarity of vector embeddings in Google Sheets. At SMX Advanced 2025, I spoke about how to measure link relevance using vector embeddings and cosine similarity, in a bid to encourage our industry to move away from increasingly meaningless link metrics like link count and towards relevance-based analysis. Lots of guidance exists on how to generate vector embeddings for web pages using Screaming Frog and OpenAI, but there’s little out there on
Source: Digitaloft by James Brockbank. Read original article.
