Yandex caught scraping Google SEO code
As TechRadar Pro reported earlier in January 2023, a former Yandex employee with a “political” motive has allegedly leaked a wide-ranging repository of source code for many of the web portal’s products, potentially shedding light on the dark art of search engine optimization.
BleepingComputer reports the employee leaked git sources totalling 44.7GB of files, containing “all of” Yandex’s source code except for its anti-spam rules, that were obtained in July 2022.
The raw source code won’t be of interest to everyone, Search Engine Land's report that 17,854 search ranking factors have been uncovered as part of the leak should be of interest to any person, business or publication looking to see their pages ranked highly in search engines.
Yandex leak SEO insights
A partial list of factors ranked by the Yandex search engine from one file in the codebase, shared by CEO of SEO consultancy MOG Media Martin MacDonald, does shed some light on the aspects of copy that Yandex applies weight to.
Per Russian Search News, these include PageRank and several aspects of links such as age and relevancy, the perceived relevance of copy, host-reilability, and innate preferences towards specific sites with perceived authority, such as Wikipedia.
A deeper, longer, more technical dive by Search Engine Land also shows that this priority also includes a “NEWS_AGENCY_RATING”, allowing Yandex’ search engine to show preference to certain news organizations.
Others include the number of unique visitors, percentages of organic traffic, and average domain rankings across queries.
However, it’s perhaps melodramatic, or a little desolate, for MacDonald to describe it as “the most interesting thing to have happened in SEO in years.”
While the leaked codebase certainly offers a raft of insights, it’s worth noting that many websites will be looking to rank well on Google over Yandex, purely because the former is far better known.
Both companies have shared web engineers over the years, Yandex does use many of Google’s open source technologies, such as TensorFlow and BERT, and references to Google data appear in the leaked codebase.
However, Search Engine Land’s deep dive argues that the Yandex leak can give general insight into the anatomy of a modern search engine, but, per Russian Search News, many of the Yandex’ leaked ranking search factors go unused, or are officially considered depreciated.
Even the technical deep dive admits many of Google (the search engine’s) known aspects, such as its crawler and index systems, differ from Yandex’.
All of this, combined with the age of the leaked codebase, makes it unclear as to how assumptions over how Yandex and Google may both rank pages will fare.
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