Experience Expertise Authoritativeness Trust
E-E-A-T
Google's four content-quality considerations: Experience, Expertise, Authoritativeness and Trustworthiness.
Foundational schema identifying a person through their name, role, affiliation, qualifications and official profiles. Explore its practical uses.
인물 구조화 데이터
Person is an entity description that can be nested inside an article’s author property, whereas ProfilePage describes the page focused on that person. For coauthored work, list authors as an array so each contributor is identified transparently. As automated content production expands, accurately identifying the people who wrote or reviewed material remains valuable context. Markup should reflect genuine contributions and does not independently establish expertise.
Helps systems reconcile author identity and stated credentials and may contribute to accurate entity understanding.
Use sameAs links that genuinely identify the person and keep jobTitle and worksFor consistent with their actual current role.
{
"@context": "https://schema.org",
"@type": "Person",
"name": "김전문",
"jobTitle": "테크니컬 SEO 리드",
"worksFor": { "@type": "Organization", "name": "MKTGLab" },
"sameAs": ["https://www.linkedin.com/in/kimjeonmun"]
}
E-E-A-T
Google's four content-quality considerations: Experience, Expertise, Authoritativeness and Trustworthiness.
지식 패널
A search-results information panel summarizing an entity such as a person, organization or place.
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.