Google Search Algorithm Documentation Leak Reveals Ranking Insights

A massive leak of Google’s search algorithm documentation has provided an unprecedented look into the inner workings of Google Search. Thousands of documents, which appear to come from Google’s internal Content API Warehouse, were released on Github by an automated bot called yoshi-code-bot.

The leaked documents reveal some of the most important elements Google uses to rank content. They indicate that Google Search uses or has used clicks, links, content, entities, Chrome data, and more for ranking. However, the documents do not specify how any of the ranking features are weighted, just that they exist.

The documents also reveal that Google keeps a copy of every version of every page it has ever indexed. This means Google can “remember” every change ever made to a page. However, Google only uses the last 20 changes of a URL when analyzing links.

The leak has given SEOs a glimpse into how Google’s ranking algorithm may work, which is invaluable for those who can understand what it all means.

Read more: searchengineland.com