Google has as reported confirmed a massive data leak of around 2,500 internal documents circulating on the web. Some of the leaked data relates to the company’s search engine ranking algorithm.
These were thousands of documents that appeared to come from Google’s internal Content API repository as reported released on Github on March 13 by an automated bot called yoshi-code-bot. Those documents were made available to SparkToro co-founder Rand Fishkin earlier this month.
Act as fast as possible when you see deceptive ads on Google Search, because the AI scammers are finally here. Here’s how you can protect yourself from this.
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According to the published document, Google can collect and use information about clicks, Chrome users and other factors that company spokespeople have previously said are unrelated to how websites rank in Google Search.
For Googlers, the thousands of pages of documents serve as a repository of knowledge, but it’s unclear which specific data points are used to rank search results; the information may be outdated, used only for training, or collected but not specifically for research. In addition, the records do not reveal how various elements are weighted in the search.
Search engine optimization (SEO) specialists Rand Fishkin and Mike King published preliminary assessments of the documents and their content earlier this week, revealing the presence of the leaked material.
Fishkin’s specifics are technical and detailed; developers and SEO specialists will probably be able to understand them better than the average individual. Furthermore, there is no guarantee that Google will base its search rankings on the precise data and signals mentioned in the leak.
Instead, as SEO expert Mike King pointed out in his summary of the documents, the leak describes the information Google collects from pages, sites and searches and gives SEO experts oblique clues about what Google seems to be interested in.
Read also: Google Play contains more than 90 apps that have been installed with malware more than 5.5 million times
Overview of Google SEO vs. AI
Google’s leaked SEO documents follow just weeks after the tech giant’s search engine rolled out AI Overviews, another feature that could change how SEO and content monetization works.
AI Overviews, also known as “Search Generative Experience”, is a new Google search feature that summarizes web content using its internal LLM (Large Language Models).
“AI Overviews” are reportedly scheduled to appear precisely when Google’s algorithm determines the fastest and most effective time to engage a person. This will likely happen when someone plans, strategizes, or engages in intellectual discourse.
While this functionality sounds great, Google’s AI integration has several quality issues. First, it sometimes displays wrong data and takes a while to respond.
Google AI Overviews has received early negative reviews. User feedback on Google’s forums suggests that the feature is often misleading and unnecessary.
Overview of AI vs. news editors
As Google tried to further meet user expectations, News/Media Alliance CEO Danielle Coffey told sources that the new feature would hurt their business, giving even less incentive to click so news organizations could monetize your material.
Coffey claims that there will be a considerable reduction from the little traffic they currently receive. Also, as a major search engine is consolidating its market dominance, Coffey’s group includes more than 2,000 news publishers, taking a tough stance against AI developers using journalism.
They claim they have to follow Google’s guidelines once again because their final product uses their material as fuel and competes directly with news content.
Related article: Google research shows how AI-powered misinformation spreads at lightning speed
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