A significant leak of Google's internal ranking documentation has given better insight into Google search algorithm, providing insights into potential Google Search ranking factors. The leak, containing information on over 14,000 possible ranking features, offers a rare glimpse into Google's closely guarded search algorithm.
The leak was originally shared by Erfan Azimi, who provided the Google API documentation to Rand Fishkin of SparkToro. With the help of Michael King from iPullRank, the details of the leak were further disseminated.
Key revelations from the leak include details on various PageRank variations, site authority metrics, and other crucial ranking factors used by Google. The leaked files shed light on Google's algorithm components such as navBoost, NSR, and chardScores, as well as the use of site-wide authority metrics and signals like traffic from Chrome browsers.
Notable findings from the documentation include the existence of different PageRank types, the identification of various business models by Google, and the importance of site embeddings and page embeddings in Google's scoring function. Additionally, the leak unveils insights on page quality measurements, topic authority, and the relevance of topic focus in Google's ranking system.
The leak also hints at Google's approach to assessing content quality, user engagement, and link relevance, as well as factors that can lead to demotions in search rankings. Insights on topics like image quality, host age, and anchor text evaluation are also highlighted in the leaked documentation.
Overall, the leak provides a wealth of information on Google's search ranking system, shedding light on various aspects of the algorithm's operation and offering potential strategies for improving search visibility. Despite the mystery surrounding certain aspects of Google's ranking factors, the SEO community is eager to delve deeper into the implications of this substantial documentation leak.
