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AI & LLM

Grounding

Techniques that connect AI responses to verified, factual information sources to reduce hallucinations and improve accuracy.

Grounding 이해하기

Grounding anchors AI outputs to real data, documents, or knowledge bases. Grounded AI systems cite sources and verify claims against known information. For AI visibility, grounding is crucial—being a trusted, verifiable source means AI systems are more likely to ground their responses in your content. Clear facts, citations, and authoritative content improve your grounding potential.

관련 리소스

관련 용어

AI HallucinationCitation AuthorityRAG (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-tuningInferenceJSON-LDLLM OptimizationMultimodal AIProgrammatic SEOPrompt EngineeringRAG (Retrieval-Augmented Generation)Robots.txtSemantic HTMLStructured DataTokenizationTopical AuthorityVector SearchZero-shot Learning