Citations

Updated May 25, 2026

Citations is an AI interface design pattern that displays source references as footnotes, links, or inline markers in AI-generated content, allowing users to verify claims and explore original sources. This UX pattern builds trust and transparency by showing where information comes from, enabling users to verify accuracy and dive deeper into source material. Citations typically appear as numbered markers or links that users can click to view the source document, website, or reference. This pattern is essential for research tools, search engines, and knowledge applications where source credibility directly impacts user trust. It transforms AI from a black box into a transparent, verifiable information system.

Use Case

Essential for research tools, AI search engines, and knowledge applications where source citations build trust and enable verification of AI claims.

Examples in Wild

PerplexityGoogle SearchBing ChatElicit

Use this pattern in your project

Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.

Generate a production-ready implementation of the "Citations" AI interface design pattern.

Pattern Description:

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Real-World Examples

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Google Search

The AI Overview displays numbered citation markers throughout the content, with a sidebar showing related source links that users can click to verify information and explore original sources.