Source Quality Scores

Updated May 25, 2026

Source quality scores is an AI interface design pattern that displays reliability ratings or quality scores for information sources used by AI, helping users assess source credibility. This UX pattern shows scores, ratings, or badges indicating source reliability based on factors like publication reputation, author expertise, peer review status, and historical accuracy. Sources are categorized or ranked, and users can see why sources received their scores. The interface may highlight high-quality sources and warn about low-quality ones. This pattern is essential for research tools, information platforms, and applications where source credibility directly impacts trust in AI outputs.

Use Case

Ideal for research tools, information platforms, and applications where displaying source quality scores helps users assess information credibility.

Examples in Wild

PerplexityGoogle ScholarResearch toolsAcademic platforms

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