Posted by Cyrus-Shepard Many SEOs agree that showing expertise, authority, and trustworthiness in your site content is important to ranking well. But why is that, exactly? Is it because Google E-A-T is an actual ranking factor, or is it something else? In this episode of Whiteboard Friday, Cyrus Shepard explores whether it can be considered a true ranking factor, making your E-A-T goals SMART, and how to communicate it all to curious stakeholders. Click on the whiteboard image above to open a high-resolution version in a new tab! Video Transcription Howdy, Moz fans. Welcome to another edition of Whiteboard Friday, coming to you from my home where I am wearing a tuxedo, wearing a tuxedo in hope that it exudes a little bit of expertise, perhaps authority, maybe even trust. Yes, today we are talking about Google E-A-T, expertise, authority, trust, specifically asking the question, “Is Google E-A-T actually a ranking factor?” Now surprisingly this is a controversial subject in the world of SEO. Very smart SEOs on both sides of the debate. Some SEOs dismiss E-A-T. Others embrace it fully. Even Googlers have different opinions about how it should be communicated. I want to talk about this today not because it’s a debate that only SEOs care about, but because it’s important how we talk to stakeholders about E-A-T and SEO recommendations. Stakeholders being clients, website owners, webmasters. Anybody that we give an SEO recommendation to, how we talk about these things is important. So I don’t want to judge. I don’t want to be the final say — that’s not what I’m attempting — about whether Google E-A-T is an actual ranking factor. But I do want to explore the different viewpoints. I talked to dozens of SEOs, listened to Googlers, read Google patents, and I found that a lot of the disagreement comes not from what Google E-A-T is — we have a pretty good understanding what Google E-A-T actually does — but how we define ranking factors. Three ways to define “ranking factors” I found that how we define ranking factors falls into roughly three different schools of thought. 1. Level 1: Directly measurably, directly impact rankings Now the first school of thought, this is the traditional view of ranking factors. People in this camp say that ranking factors are things that are directly measurable and they directly impact rankings, or they can directly impact rankings. These are signals that we’re very familiar with, such as PageRank, URLs, canonicalization, things that we can see and measure and influence and directly impact Google’s algorithm. Now, in this case, we can say Google E-A-T probably isn’t a ranking factor under this definition. There is no E-A-T score. There’s no single E-A-T algorithm. As Gary Illyes of Google says, it’s millions of little algorithms. So in this school or camp, where things are directly measurable and impactful, Google E-A-T is not a ranking factor. 2. Level 2: Modeled or rewarded, indirect effects Then there’s a second school of thought, almost equal to the first school of thought, that says Google’s algorithm is sufficiently complex that we don’t really know all the direct measurements, and in these days it’s a little more useful to think of ranking factors in terms of what is modeled or rewarded, things with effects that are possibly indirect. Now this really came about during the days of the Panda algorithm in 2012, when Google started using much more machine learning and eventual neural networks in its algorithm. To give you a brief overview and to grossly oversimplify, Panda was an algorithm designed to reduce low-quality and spammy results in Google search results. To do this, instead of using directly measurable signals, instead they used machine learning. Again, to grossly oversimplify, Britney Muller has a great post on machine learning. I’m going to link to it if you’re interested. But what they did is they took sites that they wanted to see more of in Google search results, sites like New York Times, things like that, that based on certain qualifications, like did they think the site was well-designed, would you trust it with your credit card, does it seem like it’s updated regularly and written by authors, and they put these in a bucket. Instead of giving the algorithm direct signals, they told the machine learning program, “Find us more sites like this. We want to reward these sites.” So in this bucket, ranking factors are things that are modeled or rewarded. People in this school of thought say, “Let’s just go after the same thing Googlers are going after because we know those things tend to work.” Algorithms that fall in this bucket are like Panda, site quality, and E-A-T. In this school of thought, yes, E-A-T can be considered a ranking factor. 3. Level 3: Any quality or action, direct or indirect effects Then there’s even a third school of thought that goes further than these two, and this school of thought says any quality or action that could increase rankings should be considered a ranking factor, even if Google doesn’t use it in its algorithm, direct or indirect. An example of this might be social media shares. We know that Google does not use social media shares directly in its algorithm. But getting your content out in front of a large number of people can lead to links and shares and eventually more traffic and rankings as those signals roll downhill. Now it may seem kind of crazy to think that anyone would consider something a ranking factor if Google actually didn’t consider it a ranking factor directly in its algorithms. But if you think about it, this is often the way real-world business scenarios work. If you’re the executive of a company, you don’t necessarily care if Google uses it directly or not. You just like seeing the end result. An example might be, aside from social media, bounce rate, long clicks. TV commercials, excellent example. If you were in a Super