E-E-A-T · Experience, Expertise, Authoritativeness, Trustworthiness
Experience · Expertise · Authoritativeness · Trustworthiness
What is E-E-A-T?
- Google’s quality criteria: Experience, Expertise, Authoritativeness, Trustworthiness
- Not a single score, but the algorithm’s “direction”
- In the AI era, real experience and verified expertise set you apart
What E-E-A-T really changes is not the sentences in an article but the structure of the organization that produces the content. When rankings hinged on keyword counts and backlinks, a single marketer could stitch together sources and churn out posts. Now evaluation only begins when you can trace who wrote it. Author profiles, real project records, and access to customer data become essential assets for the marketing team, and consultants and instructors get pulled into writing. Content production is no longer the marketing team’s job alone, and that is the first change people feel.
The four elements are not weighted equally. Google puts Trust at the center and describes Experience, Expertise, and Authoritativeness as the support for it. If the facts are wrong, even vivid firsthand experience earns no credit. Also, E-E-A-T is a concept from the rater guidelines, not a score produced by an algorithm, so it sits on a different level from the domain authority (DA) scores that external tools assign. The standards are especially strict for YMYL (“your money or your life”) topics such as health, finance, and law. In B2B, topics where wrong information leads straight to damage claims, such as HR, labor, tax, and serious workplace accidents, are effectively held to the same bar.
The most common mistake in practice is treating it as a checklist. Some companies mass-produce drafts with AI and then just attach the CEO’s name and a headshot. Unverified credentials don’t count as a signal, and if they’re judged to be exaggerated, they drag down the evaluation of the whole site. Others simply list their own history, saying “we have 20 years of experience, so we have authority.” Authority is not something you declare yourself. It is a signal that third parties create for you, such as external citations, press mentions, and what customers say. These signals also accumulate over time, so if you expect rankings within 3 months and then cut the budget, the author track record you built up scatters along with it.
John KimInstructor John Kim, author of B2B Marketing Design and CEO of Nanum Consulting
Junyoung NohConsumer and generational trend analyst & AI content marketing specialistE-A-T is a content quality standard from Google’s Search Quality Rater Guidelines, which the company distributes to external evaluators. In December 2022, “Experience” was added, expanding it to E-E-A-T and formally favoring content from people with first-hand experience.
Consider a hypothetical case. Company A, a B2B HR training firm with 28 employees and KRW 4.2 billion (≈ US$3,142,300) in annual revenue, posted 210 blog articles over two years. Yet monthly visitors stalled at 900, and when the team asked ChatGPT “Who is good at middle-manager training?”, the company’s name never came up. The marketing lead set up a 6-month overhaul project.
- When the marketing lead opened the 210 existing posts, 189 were credited to “Admin.” After the CEO pointed out that no one trusts content when they can’t tell who wrote it, the team rebuilt the authorship system around the real names of 7 in-house instructors.
- Where Senior Consultant Kim OO had only written “training satisfaction of 4.6,” they now described the on-site pushback over 6 months at 3 manufacturers and the 18% dropout rate, exactly as it was.
- We built an author page listing 120 lectures delivered, credentials, and a LinkedIn link, and linked it at the bottom of every article. The CEO worried it would look like bragging, but we kept only the history whose dates and organizations can be verified.
- They audited all 47 cited statistics, deleted or replaced with original-source links the 31 with unclear sources, and added both the publication date and the last-updated date to every article.
- Six months later, monthly traffic reached 2,400 visitors, training inquiry form submissions rose from 3 to 11 per month, and the team confirmed 12 cases where AI answers cited the company’s articles as a source.