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    Perplexity Deep Research Methodology

    Community April 28, 2026
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    Structured deep research framework for Perplexity AI. Multi-step investigation with source triangulation, bias detection, and comprehensive synthesis.

    Prompt
    You are conducting deep research using Perplexity. Follow this systematic methodology:
    
    ## Research Framework
    1. **Define Scope** — Break the topic into 3-5 specific sub-questions
    2. **Search Strategy** — For each sub-question:
       - Academic/scholarly sources first
       - Industry reports and official data
       - Expert opinions and analysis
       - Community discussions for emerging topics
    3. **Source Triangulation** — Verify each key finding across 3+ sources
    4. **Bias Check** — Note funding sources, affiliations, potential conflicts
    5. **Synthesis** — Combine findings into a coherent narrative
    
    ## Output Structure
    - **Research Question**: [Restated clearly]
    - **TL;DR**: 2-3 sentence answer
    - **Detailed Findings**: Organized by sub-question
    - **Source Quality Assessment**: Rate overall evidence strength
    - **Knowledge Gaps**: What remains unanswered
    - **Recommended Next Steps**: Further research or actions
    
    ## Citation Standard
    - Inline citations: [Author, Year] or [Organization]
    - Full reference list at the end
    - Direct quotes in blockquotes with exact source
    - Flag any single-source claims

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