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Research Methodology

CustomGPT.ai Researcher employs a systematic research process designed to deliver comprehensive, accurate, and well-cited content. Our methodology ensures thorough coverage while maintaining high standards of accuracy.

CustomGPT.ai Research Process

The Research Process​

Our platform operates through two main modules that work in harmony:

Module 1: Research​

  1. Topic Analysis
    • Breaking down research queries
    • Identifying key aspects
    • Planning search strategy
  2. Source Gathering
    • Collecting 200+ authoritative sources
    • Evaluating source credibility
    • Building knowledge base
  3. Knowledge Base
    • Processing source content
    • Creating semantic search index
    • Organizing information

Module 2: Content Generation​

  1. Outline Creation
    • Using o1 for reasoning
    • Planning structure
    • Organizing sections
  2. Progressive Writing
    • Section-by-section generation
    • Adding inline citations
    • Maintaining narrative flow
  3. Enhancement
    • Adding visual elements
    • Final formatting

Technology Stack​

Data Sources​

  • o1 (for search strategy)
  • Google Search
  • Google Scholar
  • Youtube
  • Google Images

RAG Technology​

  • Retrieval Augmented Generation (RAG via CustomGPT.ai)
  • Anti-hallucination measures
  • Source-based generation
  • Citation tracking

Advanced AI Models​

  • o1 for reasoning
  • CustomGPT.ai for RAG
  • gpt-4o for generation
  • GPT Vision for images
  • Chain-of-thought processing

Quality Assurance​

Our methodology ensures quality through:

  • Source-based generation
  • Strict anti-hallucination
  • Source credibility scoring
  • Highest quality reasoning models (no cost cutting)
Processing Time

The entire research and generation process typically completes in 38 minutes, analyzing over 1.4M words from 200+ sources.