انتشار: مهر 14، 1402
بروزرسانی: 27 خرداد 1404

What is Google E-E-A-T? All you need to know

SGE focuses on understanding the user’s intent and delivering the most relevant results. E-E-A-T contributes to this by emphasising the “Expertise” of the content. Content created by experts is more likely to be accurate, insightful, and relevant to the user’s query, thereby aligning with SGE’s goals.

User experience and experience

Is E-E-A-T a Ranking Factor?

Here’s how the two are intrinsically linked:

Relevance and expertise

While E-E-A-T is not directly a ranking factor in Google’s algorithm, it’s a significant component of Google’s Search Quality Rater Guidelines. These guidelines are used by human raters to evaluate web pages, and their feedback indirectly influences the algorithm. Therefore, high E-E-A-T can contribute to better search rankings, especially for YMYL pages.

Navigating E-E-A-T and SGE

SGE is designed to filter out low-quality or deceptive content. The “Trustworthiness” aspect of E-E-A-T plays a crucial role in this. Secure websites (HTTPS), transparent business practices, and positive user reviews are trust signals that both E-E-A-T and SGE value highly.

Algorithmic interpretation

While E-E-A-T provides a framework for human raters to evaluate webpages, SGE’s machine learning algorithms are trained to interpret similar quality signals algorithmically. Over time, as SGE becomes more sophisticated, its alignment with E-E-A-T criteria is likely to become even more nuanced and precise.

Adaptability and Core Updates

SGE uses quality signals to gauge the credibility of a webpage. E-E-A-T’s “Authoritativeness” serves as a key indicator here. Factors like quality backlinks, citations from reputable sources, and a strong online reputation all contribute to a site’s authority, which SGE algorithms can recognize and reward.

Trust signals and trustworthiness

In summary, E-E-A-T serves as a foundational framework for the quality signals that SGE relies on. Understanding and optimising for E-E-A-T is not just about complying with Google’s Search Quality Rater Guidelines; it’s about aligning your website with the broader objectives of Google’s Search Generative Experience.

منبع: https://pi-datametrics.com/blog/decoding-e-e-a-t-from-ymyl-to-sge-the-ultimate-guide-for-ecommerce-success

Google’s Search Generative Experience (SGE) aims to deliver the most relevant, high-quality search results to users by leveraging advanced algorithms and machine learning techniques. At the core of SGE are “quality signals”, which help Google determine the value a webpage offers to users. E-E-A-T serves as one of the most critical frameworks for these quality signals.

I can’t end this post without addressing the importance of E-E-A-T when navigating the intricacies of the Generative AI landscape, particularly concerning SGE.

The “Experience” in E-E-A-T and the user experience in SGE are closely related. Both aim to provide the user with a seamless, informative, and satisfying experience. Whether it’s page load speed, mobile-friendliness, or the depth of content, these factors contribute to both a positive user experience and higher E-E-A-T scores.

Credibility and authoritativeness

Both E-E-A-T and SGE are dynamic and adapt to the evolving landscape of online content and user behaviour. Google’s Core Updates often bring changes that affect how E-E-A-T and quality signals are interpreted, making it essential for websites to stay updated with both.