PerplexityOutput & Refinement
Perplexity renders search answers with Answer/Links/Images tabs, research steps, follow-ups, export, rewrite, and selection refinement.
Answer tab with structured prose and inline source chips
What's happening
Perplexity treats search output as a report: tabbed views, visible research steps, contextual follow-ups, export formats, rewrite modes, and structured feedback.
Patterns
Rewrite, follow-up chips, and selection-based refinement
Suggested next questions scoped to the current result
UX Insights
- •Answer / Links / Images tabs share one query without re-searching
- •Research steps build trust before prose appears
- •Wrong sources in feedback signals citation-aware triage
Design Decisions
Perplexity spreads refinement across follow-ups and rewrite rather than in-place edit menus, iteration is a new search depth or chip, not a shorter bubble.
More case studies
ChatGPTOutput & Refinement
ChatGPT renders structured answers in the thread with reasoning activity, version navigation, feedback, sharing, and selection-based refinement into writing blocks.
ClaudeOutput & Refinement
Claude keeps short answers in the message stream with per-message actions, non-destructive Try again, and version navigation.
ChatGPTResponse Refinement
ChatGPT provides a contextual menu on AI responses that allows users to refine or modify the output with specific instructions like "Try again", "Add details", "More concise", "Search the web", or "Think longer" without retyping their prompt.
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