Indexing
색인
The process of analyzing retrieved web pages and storing their information in a search engine's index.
Markup describing a dataset’s name, scope, downloadable formats and licensing for dataset discovery. Explore its purpose and practical applications.
데이터셋 구조화 데이터
Dataset can support discovery in Google’s Dataset Search and other systems that consume the vocabulary. Organizations publishing original research or statistics can use it to help researchers find, cite and reuse their work. temporalCoverage and spatialCoverage describe the time period and geographic area, improving the clarity of matching for specialized needs. Publishing trustworthy primary data can also be part of an AI-discovery strategy, but neither AI training use nor citations are guaranteed.
Helps public agencies, research organizations and data businesses make original data discoverable and reusable.
Provide accurate distribution formats such as CSV or JSON and accessible download URLs, alongside clear licensing information.
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "2026년 국내 AI 검색 이용 행태 조사",
"description": "전국 2,000명 대상 AI 검색 서비스 이용 실태 설문 원자료",
"license": "https://creativecommons.org/licenses/by/4.0/",
"distribution": {
"@type": "DataDownload",
"encodingFormat": "CSV",
"contentUrl": "https://mktg.kr/data/ai-search-survey-2026.csv"
}
}
색인
The process of analyzing retrieved web pages and storing their information in a search engine's index.
백링크
An inbound link from an external website referencing a page on your website.
GEO
A marketing strategy designed to improve the opportunity for a brand to be cited in answers from AI-powered generative engines as well as search engines.
RAG
A technique that retrieves current information from external documents or the web and adds it to an LLM prompt to support accurate answers.
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.