Snippet
스니펫
The brief descriptive preview shown beneath a search-result title and URL.
A machine-readable metadata format that uses Schema.org vocabulary to describe the meaning of page content. Review implementation considerations.
구조화 데이터
Structured Data is a metadata layer that explicitly describes content using a standardized vocabulary, such as Schema.org, alongside the text that people read. Rather than inferring details from prose, a search engine can read explicit statements that a page describes a product priced at KRW 89,000 with a rating of 4.7. Its relevance also extends to generative AI services such as ChatGPT and Perplexity, where explicit information about entities can support the interpretation of web content; markup alone does not guarantee training use or citation.
Moves beyond text matching to describe entities and their relationships in a Knowledge Graph, while supporting eligibility for rich search results.
Follow Schema.org guidance and ensure the markup accurately reflects the content visible on the page.
<!-- 구조화 데이터의 가장 기본 골격 예시 -->
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebPage",
"name": "구조화 데이터 완벽 가이드",
"description": "Schema.org 어휘를 활용해 콘텐츠 의미를 검색엔진에 전달하는 방법을 설명합니다."
}
</script>
스니펫
The brief descriptive preview shown beneath a search-result title and URL.
Perplexity
An AI search service that combines live web retrieval with LLM-generated summaries and explicit source footnotes for each answer.
엔티티
An independently identifiable concept, such as a person, place, organization or object, with a distinct definition.
지식 그래프
A knowledge database that organizes entities and their relationships as a network of nodes and edges.
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.