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Methodology · AI Search Infrastructure

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Definition

Prompt engineering is the practice of designing and refining the inputs to an AI model — questions, instructions, context, and formatting — to produce more accurate, useful, or specific outputs. In search contexts, it refers to how users structure queries to get better results from AI search systems. Prompt engineering is relevant to AI SEO from two directions. First, understanding how users structure queries to AI systems helps brands anticipate what questions their content needs to answer. Second, AI systems use internal prompt structures to direct their retrieval and synthesis — and content that is structured to answer the types of prompts users ask performs better in that retrieval process than content organized around keyword targets.

Conversational query

Agentic search

RAG

Retrieval pipeline

Semantic relevance

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