Writing content that demonstrates E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) requires: attributing content to named, credentialled experts (Expertise), citing verifiable primary sources and data (Authoritativeness), demonstrating first-hand experience through specific examples and case references rather than theoretical description (Experience), and ensuring accurate, complete, and well-sourced information on a well-secured, transparent site (Trustworthiness). E-E-A-T is particularly critical for YMYL (health, finance, legal) content but increasingly important across all content categories.
E-E-A-T compliance has become the baseline quality standard for content that ranks consistently in Google Search and gets cited by AI tools. The growing proportion of AI-generated content on the web — most of which lacks genuine experience or expertise — has made verifiable human expertise a stronger differentiator than ever before.
How to demonstrate each E-E-A-T dimension in content
- Experience — include specific case examples ('when we implemented X for client Y, we observed...'), first-person observations, and practical lessons from real work rather than theoretical descriptions
- Expertise — display author credentials prominently (professional qualifications, years of experience, institutional affiliation); use technically accurate terminology; demonstrate knowledge of edge cases
- Authoritativeness — cite primary sources (academic research, official data, recognised industry publications); earn backlinks from credible sources in the same topic area; mention client outcomes and recognition
- Trustworthiness — display clear contact information; maintain SSL; publish an accurate privacy policy; correct errors promptly and transparently; do not make claims the content cannot substantiate
AI-generated content as typically deployed — full articles generated by AI without subject matter expert input — generally fails the Experience and Expertise dimensions of E-E-A-T. AI can synthesise existing information accurately, but it cannot provide the first-hand experience, original insight, or genuine expertise that distinguishes E-E-A-T-compliant content. AI-generated content reviewed, enriched with genuine examples, and attributed to named experts can meet E-E-A-T standards. The key is the human expertise layer, not the writing tool.
Author bios are an important E-E-A-T signal — they provide verifiable evidence of the expertise behind the content. An effective author bio for E-E-A-T purposes includes: the author's professional qualifications (specific degrees, certifications, or professional memberships relevant to the content), years of direct experience in the subject area, any publications, speaking engagements, or industry recognition, and a link to a professional profile (LinkedIn) that allows independent verification. Generic bios ('content team at [company]') provide no E-E-A-T value.