SEOs, we need to talk about E-E-A-T

Please, take a seat. I think you know why we’re here.

For the past few years, the industry has developed an unhealthy obsession with E-E-A-T. We’ve watched you endlessly tweak author bios, invent fake personas to sound more “authoritative,” and debate whether adding a badge to your footer will finally appease the algorithm.

It’s time for an intervention: E-E-A-T isn’t a direct, calculable metric in Google’s ranking systems. Stop pretending Google has a checklist somewhere in Mountain View of all the things you must add to your pages to increase some mythical E-E-A-T score.

E-E-A-T: The actual history

E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) is a framework that lives in the Google Search Quality Rater Guidelines. These guidelines are essentially a training manual for human evaluators who review search results to assess if Google’s underlying mathematical systems are surfacing relevant information. (Fun fact: I was a quality rater for a short time in 2005.)  

Human rater data isn’t a direct ranking signal. They use this feedback the same way a restaurant uses comment cards — to see if the kitchen is functioning properly, not to actually cook the meal.

Quality raters provide test sets, or sometimes rate different algorithm versions against each other to see which one is objectively better, using guidelines like E-E-A-T.  The rater guidelines are a plain English version of what Google is trying to reward, not a technical explanation of how it rewards sites. Back to our restaurant example, the QRG are the menu descriptions, not the recipe.

If you want to know how the kitchen works, you have to read the recipes. In this case, that means Google’s patents and foundational information retrieval (IR) research.

When you look at the documented science of how search engines work, you don’t find fuzzy concepts of human trust. You find quantifiable proxies rooted in mathematics and behavioral data.

When I created SERPrecon, I wanted it to work the way real search engines do based on real information retrieval science – not SEO theory. So, as a former software engineer with a computer science degree from Michigan and over 20 years in SEO, I spent years reading patents, ACM research papers, and every information retrieval textbook I could get my hands on. I spent months diving into the Yandex source code and the Google protobuf leak so that I had everything I needed to build a real search engine. I’d like to share some of that knowledge with you here. (Still with me? This is what most of your posts sound like — and it’s not helping you rank.)

Time to put that knowledge to work.

Authoritativeness

Let’s start with Authoritativeness.

There is no magic “expert score.” When the algorithm measures authority, it looks at the search engine’s foundational architecture.

In their original 1998 Stanford paper, Larry Page and Sergey Brin stated: “authority is a function of the link graph.” PageRank (and its more modern version, PageRank Nearest Seed) serves as an algorithmic proxy for authority.

Experience

Google later added the first E (Experience) to E-A-T.  SEOs treat this like a creative writing prompt (see above), assuming the algorithm cares that you added a sentence saying, “In my 20 years of plumbing…” It doesn’t.

When information retrieval scientists talk about experience, they are actually talking about the mathematical opposite of what Google calls commodity content.

If your page offers the exact same facts, using the exact same overlapping n-grams as the 10 pages already ranking, you have zero Information Gain. Your content is a commodity.

A machine doesn’t need to verify your credentials to know you lack firsthand experience; it just needs to calculate that you haven’t introduced a single novel entity, unique data point, or original phrase to the index.

What SEOs call “Experience” is just the industry’s fuzzy translation of maximal marginal relevance.

Experience and Trust

What about Experience and Trust? For years, people debated how a machine could possibly read a page and decide to “trust” the author’s firsthand experience. It doesn’t. It relies on what the research papers call “information retrieval systems that evaluate implicit user feedback.” We call that “clicks.”

Look at US Patent 8,661,029 B1 (Modifying search result ranking based on implicit user feedback). This patent details how Google can score a result based on searcher behavior. It describes weighting mechanisms where a “short click” (a quick bounce back to the search results) receives a negative weight, while a “long click” or a “last click” (where the user’s search journey successfully ends on your page) receives a heavy positive weight.

Trust isn’t determined by a machine reading your “About Us” page; it is mathematically validated by searchers clicking your result, finding exactly what they need, and refusing to, as the industry labels it, “pogo stick.”

Even when Google patents systems for evaluating authors, they aren’t reading bios to verify degrees. In the foundational “Agent Rank” patent (filed in 2005 by Google engineers David Minogue and Paul Tucker), Google described a framework for connecting content to specific agents (authors) across the web.

But how does an agent actually achieve a high rank? The patent states that an agent’s reputation is built on the links, click-through data, and endorsements their signed content organically accumulates over time. It might be helpful to think of this more simply as Google’s own internal knowledge graph.

But guess what? It doesn’t matter that E-E-A-T isn’t a direct algorithmic score.

Even if the core algorithm is largely a sophisticated orchestration of mostly links and clicks, you still have to earn those signals. How do you convince another webmaster to link to your resource? How do you get a user to click your result, actively engage with your content, and end their search journey there?

You do it by demonstrating genuine, first-hand experience. You do it by offering original insights that prove actual expertise. You do it by becoming an undeniable authority in your niche.

E-E-A-T is not the algorithm

But E-E-A-T is the exact blueprint for human behavior. Google’s mathematical systems are desperately trying to measure the things E-E-A-T describes.

So go ahead, keep talking about E-E-A-T — just stop trying to translate it into explicit on-page signals. Stop chasing a mythical score, and start creating the kind of exceptional content that naturally earns the links and clicks the machines are actually counting.