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Prompt engineering is the practice of crafting specific inputs to large language models to produce desired outputs. In the context of AEO/GEO measurement, prompt engineering is the discipline of writing prompts that accurately represent how real customers ask questions — consumer-authentic language, specific intent, and natural phrasing rather than keyword-style searches.

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Why it matters

The quality of AI visibility measurement depends entirely on the quality of the prompts used. A prompt phrased as “best CRM India 2026” (keyword-style) produces different AI responses than “which CRM do Indian startups actually use” (consumer-authentic). Cited’s measurement validity rests on prompts that mirror real customer conversations, not SEO-style keyword constructions. Poor prompt engineering produces measurements that do not reflect actual customer discovery.

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How Cited uses it

Cited’s prompt-generation pipeline is essentially an automated prompt engineering system. It generates consumer-authentic prompts from brand intelligence, filters out marketing jargon, and classifies each prompt by intent type and query archetype. The anti-jargon filter and consumer-authenticity scoring are the prompt engineering quality gates.