What is E-E-A-T?

E-E-A-T is Google's core content quality evaluation framework, expanded from the original E-A-T (Expertise, Authoritativeness, Trustworthiness) in December 2022 to include 'Experience' as a new first-tier signal. The addition of Experience reflects Google's increasing emphasis on first-hand knowledge over secondary research. Content that demonstrates the author personally used a product, visited a location, or executed a strategy ranks higher than content that simply summarizes information found elsewhere. For SaaS companies, demonstrating E-E-A-T in practice requires attention across multiple dimensions. Visible author bylines with verifiable credentials and professional affiliations signal expertise. Publication dates and last-updated timestamps signal that content is maintained and current. Citations to primary research, original data, and authoritative external sources signal trustworthiness. A comprehensive About page with company history, team information, and contact details signals legitimacy. Google's Quality Rater Guidelines — a 170-page internal document made public — specifically state that pages on YMYL (Your Money or Your Life) topics including financial software, health tools, and legal products require significantly higher E-E-A-T standards than pages on entertainment or general knowledge topics. For B2B SaaS products that touch business-critical workflows, this means E-E-A-T is not optional. Content that lacks clear expertise signals will simply not rank for competitive keywords in this category, regardless of technical SEO quality. For Reddit marketing content specifically, first-hand Experience signals include sharing real campaign metrics from your own product data, showing actual screenshots of subreddit engagement, and referencing specific Reddit community dynamics that only someone with direct experience in those communities would know. Generic advice that could have been written without actually using Reddit is the opposite of E-E-A-T. Reddwise demonstrates its product expertise through its proprietary subreddit intelligence data — metrics and behavioral patterns that can only be derived from actually operating within these communities at scale.