Leaked Google Docs Lead SEOs to Wild Assumptions

May 30, 2024 at 6:08:05 AM

TL;DR The recent leak of Google documents has led SEOs to make assumptions about ranking factors. Patrick Stox cautions against assuming these factors are used in rankings without concrete evidence. He explains that while the documents mention internal systems, they do not confirm the use of these factors in rankings. SEOs often interpret information based on personal biases, leading to potential myths. Stox emphasizes the importance of testing and verifying claims.

Leaked Google Docs Lead SEOs to Wild Assumptions

Patrick Stox, a Product Advisor, Technical SEO, & Brand Ambassador at Ahrefs, discusses the implications of a recent Google documents leak. The documents, leaked by a bot named yoshi-code-bot on GitHub, were shared among several SEO experts before being removed. Stox examines the community's varied interpretations and Google's response, emphasizing the importance of context and caution against making unfounded assumptions.

Google’s Response and Community Reactions

Google cautioned against drawing conclusions from potentially out-of-context or outdated information. Despite this, many SEOs are interpreting the leak to confirm their biases. Stox highlights that just because certain features or information are stored by Google, it doesn't necessarily mean they are used for ranking.

Misinterpretations and Assumptions

Stox identifies several areas where SEOs might be misinterpreting the leaked information:

  • Site Authority: The leaked documents mention compressed quality metrics, which some SEOs are interpreting as a Site Authority score similar to Ahrefs' Domain Rating (DR). Stox argues that while PageRank could be part of Google's quality signals, the leak doesn't prove this.

  • Sandbox: The term "sandbox" in the documents is interpreted by some as evidence of a sandbox effect preventing new sites from ranking. Stox believes it refers to a spam protection measure instead.

  • Clicks: While Google uses click data for personalization and other purposes, Stox argues there's no evidence that click-through rate (CTR) directly influences rankings. He cites multiple failed attempts to manipulate rankings through clicks.

Authors and Entities

Stox acknowledges that Google matches authors with entities in the knowledge graph and uses this information in Google News. However, he finds no evidence in the leaked documents to support the idea that author information is used in rankings.

Final Thoughts

Stox urges the SEO community to avoid jumping to conclusions and to respect differing analyses. He emphasizes that unless the documents explicitly state that certain fields are used in rankings, they could be used for other purposes. He also defends Google Search Advocates, suggesting that any misinformation from them is likely unintentional.

For further discussion or specific questions, Stox invites readers to contact him on social media platforms like X or LinkedIn.

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