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/E-E-A-T
📘Concept

E-E-A-T

최종 업데이트:

Definition

E-E-A-T is the framework Google uses to evaluate content quality through Experience, Expertise, Authoritativeness, and Trustworthiness.

Summary

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's content quality evaluation framework defined in the Search Quality Rater Guidelines. In December 2022, 'Experience' was added to the original E-A-T. Google officially states Trust is the most important of the four elements, and E-E-A-T grows more critical as AI-generated content floods the web.

History of E-E-A-T

2014: Emergence of E-A-T

Google introduced E-A-T in the 2014 Search Quality Rater Guidelines. Quality Raters use Expertise, Authoritativeness, and Trustworthiness to evaluate web page quality.

December 2022: Experience Added — Evolution to E-E-A-T

Google updated the Search Quality Rater Guidelines in December 2022, adding 'Experience'. Google Search Central announced this change on its official blog. The background was rapid growth in AI-generated content. AI can mimic expert knowledge but struggles to reproduce first-person observation and cases from real experience.

The Four Elements in Detail

Experience

Evaluates whether the author has directly experienced the topic.

  • Reviews from actually using a product
  • Guides to places personally visited
  • How-to guides for methods personally tried

Google cites first-person narrative, original photos/videos, and specific dates, places, and figures as evidence of experience. Experience is the most recently added element and has become a key signal distinguishing AI content from human content.

Expertise

Evaluates whether the author has expert knowledge or credentials on the topic.

  • Official degrees, certifications, licenses
  • Industry career and practical experience
  • Published papers, awards

Google states that Expertise standards apply especially strictly to YMYL (Your Money or Your Life) content—health, finance, legal, safety-related topics.

Authoritativeness

Evaluates whether the author or site is recognized as an authoritative source in the field.

  • Backlinks from other authoritative sites
  • Academic citations
  • Media coverage and external mentions
  • Wikipedia entity registration

Authority is built through external recognition, not self-declaration. The more trusted sites in the same field cite you as a source, the higher your authority.

Trustworthiness

Evaluates whether the site and content operate accurately and transparently.

Google's official documentation states: "Of these aspects, trust is most important. The others contribute to trust, but content doesn't necessarily have to demonstrate all of them." Trust is the most important of the four; the other three support building trust.

Trust signals:

  • HTTPS
  • Clear author information and contact details
  • Source citations for claims
  • Error correction policy
  • Public site owner and company information

YMYL and E-E-A-T

YMYL (Your Money or Your Life) covers topics that can significantly affect user health, finances, safety, and social welfare. Google's official documentation states: "We call these 'Your Money or Your Life' topics, or YMYL for short."

YMYL categories:

  • Medical, health, pharmaceuticals
  • Finance, investment, insurance
  • Legal, government policy
  • Safety-related information

E-E-A-T standards apply much more strictly to YMYL content. Medical or legal advice from unqualified individuals likely receives low quality ratings.

E-E-A-T Impact on AEO and GEO

AI answer engines do not evaluate E-E-A-T as a direct numeric score. However, content from high-E-E-A-T domains tends to be cited more by AI. Two reasons:

First, Google AI Overviews selects citation sources from the Google search index. High-E-E-A-T sites often rank higher in Google Search, so their content appears more often in AI Overviews.

Second, LLM training data tends to include more content from sources Google trusts. High-E-E-A-T domains may carry greater weight in LLM training data.

Aggarwal et al. (2024) KDD research experimentally confirmed that citing expert sources can increase AI citation likelihood by up to 41%. Strengthening E-E-A-T aligns with raising citation potential.

7 Practical Ways to Strengthen E-E-A-T

1. Create author pages

Build per-author pages with bio, credentials, expertise, and external links (LinkedIn, publication history).

2. Apply author schema (Person JSON-LD)

Add author fields to Article schema and structure author information with Person schema. Helps Google recognize author information mechanically.

3. Strengthen About page

Clearly describe company or site founding background, mission, team, and contact information.

4. Cite sources for all claims

Add "According to [source]" after statistics, figures, and factual claims. Claims without sources lower trust.

5. Earn external citations

Pursue PR and guest posts so authoritative external sites mention and link to your content as a source.

6. HTTPS and technical trust elements

HTTPS, fast loading, and mobile optimization are baseline trust factors.

7. Regular updates and error correction

Fix errors quickly when found and periodically refresh outdated information. Google treats recent dates as freshness signals.

E-E-A-T in Competitive Niches

In many niches, external backlink pools are smaller than in broad English-language markets. Fewer authoritative sites in a field can make Authoritativeness signals harder to build.

However, this is also an opportunity. Few sites with high E-E-A-T content in a specific niche mean consistent production of expert, trustworthy content can capture AI citation authority in a lower-competition environment.

Ways to strengthen E-E-A-T:

  • Cite government agencies and academic sources
  • Include industry expert interviews or comments in content
  • Earn mentions from media and recognized bloggers
  • Build author expert identity on LinkedIn and professional platforms

FAQ

Q. Can I check my E-E-A-T score directly?
A. No. E-E-A-T is a guideline for Quality Raters, not a metric displayed as a score. Google Search Console has no E-E-A-T field. You can evaluate indirectly through search rankings, domain authority (DR), and external citation counts.

Q. Is AI-written content disadvantaged for E-E-A-T?
A. It can be for Experience. First-person observation and cases from real experience are hard for AI to generate. However, content where experts use AI for drafts and supplement with their own experience and expertise can fully satisfy E-E-A-T. Google officially evaluates content quality, not AI authorship.

Q. Can small blogs also raise E-E-A-T?
A. Yes. Consistently publishing experience-based content in a specific niche, citing sources clearly, and providing solid author information builds E-E-A-T regardless of size. YMYL fields like medical or finance may require credentials, but in other fields experience and transparency matter more.

Q. Which matters more—E-E-A-T or backlinks?
A. Backlinks are a major signal for Authoritativeness and thus part of E-E-A-T. But E-E-A-T includes more than backlinks. Trust and Experience can be strengthened through content quality even without backlinks. For AEO, Trust and Experience connect directly to AI citation potential.

Q. Where should I start with E-E-A-T optimization?
A. Start with Trust. Verify HTTPS, specify author information, and add sources for all claims—these three can be applied in a day and immediately strengthen the trust foundation. Then build out author and About pages.

Sources

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