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 Google's SEO and AI
Google's Danny Sullivan discussed the relationship between SEO and AI, emphasizing that their ranking systems are designed to prioritize...
Introduction to Link Building
Link building is a crucial aspect of search engine optimization (SEO) that helps prove a site's trustworthiness and relevance to a...
Introduction to Trust in Link Building
Trust is commonly understood to be a standalone quality that is passed between sites regardless of link neighborhood or...
Introduction to Google's JavaScript SEO Update
Google has updated its JavaScript SEO documentation with new guidance on handling canonical URLs for JavaScript-rendered sites. This update...
Introduction to Cloudflare's Year in Review
Cloudflare has released its sixth annual Year in Review, providing a comprehensive look at Internet traffic, security, and AI...