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 the Week's Pulse
The world of search engine optimization (SEO) and artificial intelligence (AI) is constantly evolving. This week, several updates and studies...
Google's Advice on Low-Quality AI Content
Introduction to the Issue
Google's John Mueller has shared his thoughts on what sites with low-quality AI content should do...
Introduction to SEO and Video Loading
Google Search Advocate John Mueller says that large video files loading in the background are unlikely to have a...
Big Changes Proposed for EU Digital Laws
The European Commission has proposed a new package of laws called the "Digital Omnibus" that could change the...
Introduction to the Latest Updates in Search
The world of search is constantly evolving, with new updates and features being introduced regularly. This week has...
Introduction to Google's Q3 Organic Clickthrough Report
Advanced Web Ranking has released its Q3 Google organic clickthrough report, which tracks changes in clickthrough rates (CTR)...
Introduction to the Semrush Adobe Acquisition
The SEO community is buzzing with excitement over the recent Semrush Adobe acquisition. This milestone marks a significant turning...
Introduction to SEO Campaigns
Backlinks alone are no longer enough to move the authority needle. You need mentions, too. Are your campaigns securing the visibility...