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기술

Vector Search

A search method that finds content based on semantic similarity rather than exact keyword matching.

Vector Search 이해하기

Vector search uses embeddings to find content that is conceptually similar to a query, even without matching keywords. This is how AI systems like Perplexity and ChatGPT with browsing find relevant sources. For AI visibility, vector search means your content can be discovered based on meaning and context, making comprehensive, semantically rich content more valuable than keyword-stuffed pages.

관련 리소스

관련 용어

EmbeddingsRAG (Retrieval-Augmented Generation)

유용한 체크리스트

AI SEO Audit ChecklistChatGPT Optimization ChecklistStructured Data Implementation ChecklistProgrammatic SEO Launch Checklist

템플릿

Robots.txt for AI Crawlersllms.txt File TemplateOrganization Schema (JSON-LD)Article Schema (JSON-LD)

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다른 용어 보기

AI AgentAI CrawlersAI HallucinationAI SEOAI VisibilityChain of ThoughtCitation AuthorityContext WindowE-E-A-TEmbeddingsFew-shot LearningFine-tuningGroundingInferenceJSON-LDLLM OptimizationMultimodal AIProgrammatic SEOPrompt EngineeringRAG (Retrieval-Augmented Generation)Robots.txtSemantic HTMLStructured DataTokenizationTopical AuthorityZero-shot Learning