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 AI Bots and Website Crawlers
The internet is filled with various types of bots that crawl websites to gather information, and a recent...
Introduction to SEO Challenges
Google's John Mueller recently warned that using free subdomain hosting services can create unnecessary SEO challenges, even for websites that are...
Introduction to Phantom Noindex Errors
Google's John Mueller recently addressed a question about phantom noindex errors reported in Google Search Console. These errors occur when...
Introduction to Google's Latest Updates
Google has been working on several projects to improve the online shopping experience and provide more accurate information to its...
Introduction to the Reuters Institute Report
The Reuters Institute for the Study of Journalism has released its annual predictions report, which is based on a...
Introduction to the Next Generation of Search
Google's approach to search has undergone significant changes over the years. Initially, the search engine ranked content based...