Experience Expertise Authoritativeness Trust
E-E-A-T
Google's four content-quality considerations: Experience, Expertise, Authoritativeness and Trustworthiness.
Schema describing an individual review, its author, the reviewed item and its rating. Learn how it works and what to consider in practice.
리뷰 구조화 데이터
Review markup describes one review, whereas AggregateRating summarizes multiple reviews. Use itemReviewed to identify the subject, reviewRating for the score and author for attribution. Self-authored or misleading promotional reviews can undermine credibility. Rich-result eligibility depends on the item type and Google’s review policies, including restrictions on self-serving business reviews; it should not be inferred merely from whether a review appears on a first-party or third-party site.
Provides machine-readable evidence of genuine customer experience and attribution.
Mark up genuine reviews only and supply accurate, verifiable author information.
{
"@context": "https://schema.org",
"@type": "Review",
"itemReviewed": {
"@type": "SoftwareApplication",
"name": "Astro Framework"
},
"author": {
"@type": "Person",
"name": "MKTGLab"
},
"reviewRating": {
"@type": "Rating",
"ratingValue": "5",
"bestRating": "5"
},
"reviewBody": "콘텐츠 기반 웹사이트에 가장 최적화된 모던 웹 프레임워크로, 제로 자바스크립트 아키텍처가 매우 인상적입니다."
}
E-E-A-T
Google's four content-quality considerations: Experience, Expertise, Authoritativeness and Trustworthiness.
스니펫
The brief descriptive preview shown beneath a search-result title and URL.
FAQ 구조화 데이터
Markup that describes a set of frequently asked questions and answers, eligible in supported cases for expanded search presentations.
Google Discover
Google's personalized content feed, which recommends material based on interests and activity without requiring a search query.
JSON-LD 구조화 데이터
A structured-data format that expresses linked data as JSON in a script element, commonly used in an HTML head.
Q&A 구조화 데이터
Structured data for a page containing one question with multiple answers contributed by users.