EEAT as a meta-factor at the author level

[Reddi2]

When it comes to EEAT, I often read that you should optimize at the document level, but it is quickly forgotten that in addition to the main content (MC), it is primarily about evaluating the author or content creator.

The Quality Rater Guidelines clearly state that particular attention should be paid to the reputation of the website and the content creator when rating Page Quality.


Source: Google Quality Rater Guidelines

Reputation can be used analogously to trust, which is the focus of EEAT. When it comes to reputation, we have to distinguish between the source entity (publisher or author) and website (domain). Websites are to be understood as digital representations of source entities, so they are closely related to each other.

An EEAT evaluation takes place primarily on a meta level for the afghanistan cell phone number list website and the source entity or content creator. In my article “ How Google may identify and evaluate authors through EEAT ” I explain in more detail how Google can evaluate source entities on this meta level.



The reputation of a website should not only be checked based on the information published there, but above all by researching independent sources such as reviews, references, recommendations by independent experts, forum discussions, Wikipedia ...



Off-page sources provide information about the source entity, such as about us pages and comments on the main content. It is about evaluating a consistent and qualitative overall picture of the source entity or content creator.

In my article “ 20+ Factors for an EEAT Rating by Google ” I identified over 20 measurable signals that can play a role in EEAT.



Google has made it clear several times that EEAT is not a direct ranking factor and that there is no uniform EEAT score. Rather, EEAT is a mix of different factors that provide an overall picture of experience, expertise, authority and trust in content and the source entity.

EEAT can be understood as a quality classifier that gives content a ranking bonus after document scoring. This ranking bonus is higher for YMYL topics than for other topics and search queries.



Websites can be divided into different quality levels as described in the Google patent “ Website Representation Vector to Generate Search Results and Classify Website ”.



Depending on the level, the ranking bonus can vary.

As we can see, building a reputation, authority and credibility that can be measured by Google is playing an increasingly important role in Google rankings.

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