Yandex Data Leak: The Ranking Factors & The Myths We Found Ep. 563

Ep. 56331 min2023-02-133,665 plays

The 44-gigabyte Yandex source code leak revealed approximately 17,800 ranking factors, confirming that link authority, crawl depth, click-through rate, and user behavior manipulation all influence search rankings.

Cover art for Yandex Data Leak: The Ranking Factors & The Myths We Found Ep. 563
Key takeaways
The machine learning technology is so good right now that you just really shouldn't try to game the system.

About this episode

Yandex Data Leak: The Ranking Factors & The Myths We Found. An in-depth look at the Yandex ranking factors leak, algorithm updates, and related announcements from Dan Taylor, our Russian SEO expert.

Questions this episode answers

Does crawl depth affect search rankings according to the Yandex leak?

Yes. Yandex has active code indicating that URLs reachable from the home page in fewer clicks carry higher importance. This contrasts with Google, which has publicly stated crawl depth is not explicitly a ranking factor, though John Mueller noted in 2018 that Google gives more weight to pages closer to the home page.

How does Yandex detect and penalize fake click traffic?

Yandex uses a filter called the PF filter that monitors IP similarities and tracks user actions after a click. If traffic looks unnatural, Yandex penalizes the site's ranking. In 2020, the head of Yandex webmaster tools confirmed the company was making good progress detecting and penalizing this behavior.

Are meta keywords still a ranking factor anywhere?

According to the Yandex leak, Yandex still uses meta keywords as a ranking signal. Google has stated they do not matter, and Bing has treated them as a spam signal, making it difficult to optimize for all three search engines at once using this element.

In their words

The current leak revealed 1,922 ranking factors, of which more than 64% were listed as unused or deprecated.

Host

If you have a page that's one click away from the home page versus pages that are multiple clicks away from the home page, what would you assume is more important?

Host
Terms defined in this episode
TF-IDF (Term Frequency Inverse Document Frequency)
A ranking signal that measures how frequently a term appears on a page relative to how many documents across the site or web contain that term, giving a ratio of relevance.
PF Filter
A Yandex algorithm filter believed to stand for page fraud that actively detects and penalizes websites engaging in click manipulation and fake user behavior.
MatrixNet
A Yandex machine learning ranking system announced in 2009 and superseded in 2017 by a system called Catboots.
Click Jacking
A known SEO violation within Yandex where artificial clicks are generated to manipulate click-through rate rankings, detected by monitoring IP similarities and user actions on the page.

Full transcript is being added.

Matthew Bertram, host of The Best SEO Podcast
Matthew Bertram
AI keynote speaker · Owner & CEO, EWR Digital · President, ModalPoint

Matthew Bertram is an AI keynote speaker, creator of DIG™ (Digital Information Governance), and owner and CEO of EWR Digital. He helps energy and industrial leaders win visibility in AI search (GEO and AEO), is President of ModalPoint and CMO of the Oil & Gas Global Network, hosts The Best SEO Podcast, and has authored eight books including LLM Visibility. More about Matthew Bertram.

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