E-E-A-T in 2026: How Google Evaluates Experience, Expertise, Authority, and Trust
Google's quality evaluation framework expanded from E-A-T to E-E-A-T in 2022. Here is what each dimension means in practice and how to demonstrate all four.
Mahmudul Haque Qudrati
CEO & ML Engineer
One AI engineering post, weekly
LLM benchmarks, prompt techniques, and token-cost breakdowns — not another AI news roundup.
Google's Search Quality Evaluator Guidelines have long included E-A-T (Expertise, Authoritativeness, Trustworthiness) as a framework for assessing content quality. In December 2022, Google added a second "E" — Experience — making it E-E-A-T.
The addition of Experience reflects a real shift in what Google rewards: not just technical expertise, but first-hand, lived knowledge. A medical doctor writing about surgery demonstrates expertise. A patient writing about their recovery experience demonstrates experience. Both have value, and the best content often combines them.
Trust Is the Central Factor
Google's documentation explicitly states that Trust is the most important dimension — the other three feed into it. A page can demonstrate expertise and authority but still fail on trust (outdated information, misleading claims, no contact information, no clear business identity).
Trust signals Google evaluates include: HTTPS, clear contact information, privacy policy, transparent authorship, and absence of deceptive design patterns.
Team workspace
Ship faster with chat, meetings, and projects in one place — Zlyqor.
YMYL Pages Face Stricter Evaluation
YMYL stands for "Your Money or Your Life" — content that could significantly impact someone's health, financial stability, safety, or major life decisions. Examples: medical advice, legal guidance, financial planning, news about current events.
For YMYL pages, E-E-A-T requirements are significantly stricter. An anonymous author writing about drug interactions will not rank well. A board-certified pharmacist with credentials listed will.
Demonstrating Experience
- Write in first person where relevant: "In my testing...", "When I implemented this...", "After using X for three months..."
- Include case studies with real outcomes and numbers
- Show photographs, screenshots, or artifacts of real work
- Include dates and context that establish when the experience occurred
Demonstrating Expertise
- Author bios with real credentials: degrees, certifications, years of experience, notable publications
- Factual accuracy verifiable by sources
- Depth beyond surface-level coverage — go into edge cases and nuances
- Cite primary sources (studies, official documentation, authoritative references)
Demonstrating Authoritativeness
- Backlinks from other authoritative sources in your industry
- Brand mentions in publications, podcasts, and industry events
- Author bylines on external publications
- Social proof: follower counts, community engagement, industry recognition
Demonstrating Trust
- Author pages with contact information and credentials
- Clear business identity: About page, physical address or business registration info
- Privacy policy, terms of service, and cookie notice
- No clickbait, no misleading headlines, no deceptive design
- Regular content updates with clear publication and revision dates
Links: Google's Quality Rater Guidelines blog post | Search Quality Evaluator Guidelines PDF

Mahmudul Haque Qudrati
CEO & ML Engineer
Visionary technologist, software engineer, and machine learning specialist. Founder and CEO of Pristren, directing engineering teams that ship production-grade AI/ML pipelines, mission-critical full-stack applications, and developer tooling. Creator of Zlyqor, the unified team workspace platform. Author of 540+ technical guides and benchmark research reports on large language models, agentic workflows, Model Context Protocol (MCP), and modern web stacks.
More from Mahmudul
Related Articles
Google Search Console API: Automate SEO Reporting and Monitoring With Python
The GSC Search Analytics API lets you pull performance data programmatically, build automated reports, and set up traffic drop alerts - no more manual CSV exports.
Mastering Google EEAT for Developer and Technical Content
An actionable engineering guide to mastering Google EEAT in technical content, moving beyond generic advice to prove firsthand implementation experience.
Google AI Overviews SEO: How to Get Your Content Featured in 2026
Google AI Overviews now appear on over 50% of informational searches. Here is how to write content that gets featured as a source.
// discussion
Comments