Experience Signals

Definition

Experience signals are the specific content characteristics that demonstrate a content creator\'s direct, first-hand experience with the topic they\'re covering — the "first E" in Google\'s E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) quality rater framework. Google added "Experience" to its E-A-T framework in December 2022, distinguishing between theoretical knowledge (expertise) and lived, hands-on experience. Signals of experience in content: (1) **First-person voice with specific outcomes** — "I tested three technical SEO audit tools on a 50-page site and found..." is a stronger experience signal than "Technical SEO audit tools can help identify issues..." (2) **Original photos or screenshots** — images taken by the author demonstrating their own testing or use of the described process or product. Stock photos or manufacturer images are not experience signals. (3) **Specific case studies with named sites or projects** — referencing actual projects worked on (even anonymised) with verifiable outcomes. (4) **Expertise + experience combination** — for medical, legal, and financial (YMYL) content, Google quality raters look for content that combines formal credential-based expertise with evidence of real clinical or practice experience. (5) **Review content based on actual product testing** — product reviews that show evidence of purchase and use (unboxing photos, measurement data, personal test results) vs reviews based on feature lists from manufacturer descriptions. The Product Reviews update (multiple iterations 2021–2023) specifically targeted experience-absent review content. Experience signals matter most for YMYL content, review content, and how-to guides where the credibility of the guidance depends on the author having actually done the thing.

Why it matters for SEO

Google\'s addition of Experience to E-A-T reflects a recognition that expertise credentials alone don\'t guarantee content quality — a doctor with no patient experience writing medical content may be less useful than a patient advocate with decades of lived experience managing a condition. Content in review, how-to, and personal finance categories needs explicit experience signals to compete in Google\'s quality evaluation.

How DeepSEOAnalysis checks this

DeepSEOAnalysis checks for schema-level experience signals: Article schema with author markup (named authors vs anonymous content), Person JSON-LD with sameAs properties linking to author profiles, Review schema with defined reviewer entities, and datePublished accuracy — all signals that help Google attribute content to an identifiable person with verifiable experience.