Insights from Google Search Document Leak
Last month a document surfaced on the web. For most people it might not matter but for SEOs it is the biggest leak ever. This document is a leak related to Google Search. It shows alot of insights to SEOs. This leak document contains over 2500 factors that are involved in ranking your content in Google Search Results.
In this article we will discuss some of those factors:
Google Uses Chrome Clickstream Data
The documents reveal that Google uses Chrome clickstream data to determine whether users are satisfied with the content on a site. This includes metrics such as “goodClicks” and “badClicks,” which can impact rankings based on user engagement.
Domain Authority and Toxic Backlinks
The leak confirms the existence of a “siteAuthority” metric and multiple signals around spammy phrases, anchor texts, and links, contradicting Google’s previous public statements on these topics.
Google Classifies Sites
The documents suggest that Google classifies sites into different categories, such as travel sites, small personal sites, and commercial sites, which may influence the types of sites that appear in search engine results pages (SERPs).
User Engagement Metrics
The NavBoost system uses user click data to enhance search results, including metrics such as click duration and user behavior before and after searches.
Whitelisting
The leak reveals that Google employs whitelists to regulate search results for specific queries during events like the Covid-19 pandemic and elections.
Link Quality
Google prioritizes links from highly-ranked pages and fresh content, emphasizing the importance of monitoring link velocity and anchor text diversity to detect and mitigate link spam.
Site Quality
The NavBoost system assesses the overall quality of a website, including spam signals, which can impact rankings.
Authorship
Google stores and assesses author information, indicating a focus on content authored by established experts.
Geofencing
The NavBoost system employs geofencing with click data to accommodate regional variations and device preferences.
PageRank Variants
The documents reveal multiple types of PageRank, each serving a unique purpose within Google’s ranking framework.
These insights provide a deeper understanding of Google’s ranking mechanisms and offer valuable information for SEO professionals to refine their strategies and improve search engine rankings.
The document has been removed from most of the internet but incase if you want to understand all the ranking factor attributes, you can check it here.
