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Citations & traceability
Showing how the AI constructed the answer (sources, references) to build user's trust.
User benefits
- Feel confident relying on AI.
- Bias is towards products that “show their work,” even if the output is less refined.
- Able to double-check outputs (especially in legal, financial, academic).
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Browse all examplesWhy does citations matter?
Citations are the trust layer in AI UX. They anchor abstract AI outputs to concrete sources, giving users confidence that answers are verifiable, not hallucinated. This also mirrors how we humans communicate; we quote, we reference, we point to evidence.
From a UX perspective, citations do more than build trust:
- They expose process: showing what the AI is
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patterns and well organised content
patterns and well organised content
Jacob Sullivan, CPO at Faculty.aiUnlock this pattern
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Curated by aiverse team
Last updated on Jun 4, 2026
Published on Jun 4, 2026
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