용어집
AI 검색 노출 용어집
AI 검색 노출, AI 최적화, 그리고 검색의 미래를 이해하기 위한 핵심 용어와 개념을 정리했습니다.
전체 용어
AI & LLM
AI 시스템과 대규모 언어 모델 관련 용어
AI Agent
An AI system that can autonomously perform tasks, make decisions, and interact with external tools or services on behalf of users.
자세히 보기AI Hallucination
When an AI system generates false, misleading, or fabricated information that appears plausible but has no basis in reality or training data.
자세히 보기AI SEO
Search engine optimization strategies specifically designed for AI-powered search engines and assistants.
자세히 보기AI Visibility
The degree to which a website or brand is discoverable, understood, and cited by AI systems like ChatGPT, Claude, and Perplexity.
자세히 보기Chain of Thought
A prompting technique that encourages AI models to break down complex problems into step-by-step reasoning.
자세히 보기Citation Authority
A measure of how frequently and reliably AI systems cite your content as a source when generating responses.
자세히 보기Few-shot Learning
An AI model's ability to learn new tasks from just a few examples provided in the prompt or context.
자세히 보기Fine-tuning
The process of training a pre-trained AI model on specific data to improve its performance on particular tasks or domains.
자세히 보기Grounding
Techniques that connect AI responses to verified, factual information sources to reduce hallucinations and improve accuracy.
자세히 보기LLM Optimization
The practice of optimizing content and website structure specifically for large language models to better understand, index, and cite.
자세히 보기Multimodal AI
AI systems that can understand and generate multiple types of content including text, images, audio, and video.
자세히 보기Prompt Engineering
The practice of crafting effective inputs (prompts) to guide AI systems toward desired outputs and behaviors.
자세히 보기RAG (Retrieval-Augmented Generation)
A technique that enhances AI responses by retrieving relevant external information before generating an answer.
자세히 보기Zero-shot Learning
An AI model's ability to perform tasks or answer questions it wasn't explicitly trained on, using only its general knowledge.
자세히 보기SEO & 콘텐츠
검색 최적화 및 콘텐츠 전략 관련 용어
E-E-A-T
Experience, Expertise, Authoritativeness, and Trustworthiness - quality signals that both search engines and AI systems use to evaluate content.
자세히 보기Programmatic SEO
The practice of creating large numbers of SEO-optimized pages automatically using templates and data.
자세히 보기Topical Authority
The perceived expertise a website has on a specific subject, built through comprehensive, high-quality content coverage.
자세히 보기기술
기술 구현 관련 용어
AI Crawlers
Automated bots used by AI companies to index web content for training and retrieval in AI systems.
자세히 보기Context Window
The maximum amount of text (measured in tokens) that an AI model can process and consider in a single interaction.
자세히 보기Embeddings
Numerical representations of text that capture semantic meaning, enabling AI systems to understand relationships between concepts.
자세히 보기Inference
The process of an AI model generating outputs (predictions, text, or decisions) based on input data.
자세히 보기JSON-LD
JavaScript Object Notation for Linked Data - the preferred format for implementing structured data on websites.
자세히 보기Robots.txt
A file that tells web crawlers and AI bots which pages they can and cannot access on your website.
자세히 보기Semantic HTML
HTML markup that uses meaningful tags to describe the structure and content of a webpage, helping AI systems understand context.
자세히 보기Structured Data
A standardized format (typically JSON-LD) for providing explicit information about page content to search engines and AI systems.
자세히 보기Tokenization
The process of breaking text into smaller units (tokens) that AI models can process and understand.
자세히 보기Vector Search
A search method that finds content based on semantic similarity rather than exact keyword matching.
자세히 보기