Definition

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google’s quality framework for evaluating content creators and publishers, especially for YMYL topics that affect health, finance, safety, or major life decisions.

Detailed Explanation

Experience: first-hand use or real-world involvement. Expertise: credentials, depth. Authoritativeness: recognition by others. Trustworthiness: accuracy, transparency, secure site.

Demonstrate via author bios, editorial policy, sourced claims, HTTPS, clear contact and legal pages.

Algorithm updates (Helpful Content) reinforce rewarding people-first content with clear E-E-A-T signals.

Nepal Context

Insurance, legal, and medical content in Nepal must cite Beema Samiti, Nepal Bar Council, or MOHP sources where applicable. Display licenses visibly.

English-only YMYL pages targeting Nepali audiences may lack trust — add Nepali summaries or bilingual author credentials.

Practical Examples

  1. Beginner: Add author box with photo, title, LinkedIn to all blog posts.

  2. Intermediate: Publish methodology pages for data-driven reports; link to primary sources.

  3. Advanced: Expert review workflow with dated reviewer credentials on policy comparison tools.

Key Takeaways

  • E-E-A-T is critical for YMYL and competitive informational queries.
  • Real experts and transparent sourcing beat generic AI fluff.
  • Trust signals include HTTPS, contact info, and policies.
  • Nepal regulated industries need visible compliance proof.
  • Update content dates when facts or regulations change.

Common Mistakes

  1. Anonymous authorship on financial advice articles.
  2. Outdated regulatory references after policy changes.
  3. Fake testimonials or unverifiable award badges.