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 Safari 26.2 Update
Safari 26.2 has introduced significant updates that enhance the user experience and provide site owners with more accurate performance metrics....
Introduction to SEO Reporting
Inside many companies, SEO reporting still relies heavily on mainstream metrics like keyword tracking, traffic graphs, etc., while the leadership side...
Introduction to Site Moves
Google's John Mueller recently discussed how Google handles site moves, particularly when a site is partially moved from one domain to...
Understanding Google's Updated JavaScript SEO Documentation
Google recently made some important changes to its JavaScript SEO documentation. The update clarifies how Google handles `noindex` tags...
Introduction to Google's Latest Update
Google has recently updated Search Live with Gemini 2.5 Flash Native Audio, which enhances how voice functions inside Search and...
Introduction to Google's December 2025 Core Update
Google has confirmed the release of its December 2025 core update through its Search Status Dashboard. The rollout...
Google Expands Features to Improve User Experience
Google is taking significant steps to enhance its search features, making it easier for users to find and...
Introduction to Link Building
The world of link building can be overwhelming, with numerous services offering their expertise. However, most of these services provide spammy...