Secrets from the Algorithm: Google Search’s Internal Engineering Documentation Has Leaked
Watch Our Google Algorithm Leak Webinar Replay Google, if you’re reading this, it’s too late. 😉 Ok. Cracks knuckles. Let’s get right to the Google algorithm leak. Internal documentation for Google Search’s Content Warehouse API has been discovered. Google’s internal microservices appear to mirror what Google Cloud Platform offers and the internal version of documentation […]
Quick Tip: Cosine Similarity and k-Nearest Neighbors in Google Sheets
As I discussed in my previous post, vector embeddings have become an indispensable tool, allowing us to go beyond keyword-based strategies and use semantic relevance in content analysis. Many technical SEOs don’t code (no judgment) but are spreadsheet wizards, so let’s talk about leveraging Google Sheets for calculating cosine similarity and k-nearest neighbors with your […]
Vector Embeddings is All You Need: SEO Use Cases for Vectorizing the Web with Screaming Frog
Since learning of the importance and magnitude of vector embeddings, I have been proposing that a link index should vectorize the web and make those representations of pages available to SEOs. Fundamentally, with the further integration of machine learning in Google’s ranking systems, vector embeddings are even more important to what we do than an […]
