How Google's Ranking Process Works
Google's ranking process involves three main components: traditional systems, AI systems, and quality rater scores. The traditional systems are used for initial ranking, while AI systems such as RankBrain, DeepRank, and RankEmbed BERT re-rank the top 20-30 documents. These systems are fine-tuned by quality rater scores and results from live user tests.
The Importance of User Data
The DOJ vs. Google lawsuit highlighted the significance of user data in Google's ranking process. Google uses user data in two main ways: in a system called Glue, which incorporates...
Introduction to Social Channel Insights
Google has been testing Social Channel Insights inside Google Search Console (GSC), which may seem like a small update, but...
Introduction to Google's Research on User Intent
Google has published a research paper on a new method for extracting user intent from interactions on mobile...
Introduction to This Week's SEO Updates
This week's SEO updates are all about access and how it affects your online presence. From Google's new Personal...
Introduction to Google's Trial Documents
Google has appealed the ruling that says they need to give proprietary information to competitors. The latest document in the...
Introduction to AI Search and Chat
Microsoft has released a comprehensive guide to help businesses optimize their content for AI search and chat. The 16-page...
Introduction to Google Discover
Google Discover is a mysterious system that is not well understood by publishers and the search marketing community. Despite official guidance...
Introduction to the Shift in SEO
SEO, or Search Engine Optimization, is no longer the effective traffic channel it once was. The moment pipeline stopped...