Core Deep Research Algorithm for Business Ideas
This is the structured process used to conduct deep research using AI for identifying, validating, and developing business ideas.
1. Define Research Objectives
- Clearly state the goal (e.g., "Find a defensible AI startup idea with a $5M ARR trajectory").
- Identify key constraints (e.g., "MVP budget of $5,000" or "Must be scalable to $100M ARR").
- Specify target audience (B2B, B2C, Enterprises, SMBs, etc.).
2. Construct a Structured AI Prompt
A well-structured prompt includes: 1. Startup Concept → "I want to create a startup. It should be an AI agent focusing on a high-value niche." 2. Defensibility → "It must have a strong competitive advantage." 3. Market Fit → "Identify industries with the highest likelihood of success." 4. Monetization → "Provide revenue models with projected ARR milestones." 5. Go-To-Market Strategy → "Give a tactical plan for growth." 6. MVP Feasibility → "Ensure the MVP costs under $5,000."
3. Data Collection & Market Analysis
AI research tools (ChatGPT Pro Deep Research, Perplexity) execute: - Broad data scraping (e.g., market reports, competitor websites, funding databases). - Comparative analysis (e.g., identifying competitors & whitespace opportunities). - Statistical validation (e.g., demand metrics, search trends, cost analysis).
4. Identify Unique Business Opportunities
- Analyze Competitor Gaps
→ "What market needs are unaddressed by existing players?" - Assess Market Demand
→ "What are the highest-growth areas within AI-driven industries?" - Find Emerging Trends
→ "Which sectors show signs of rapid innovation but lack strong incumbents?"
5. Evaluate Defensibility & Competitive Moats
Assess how the business can maintain long-term advantages: - Proprietary Data Moat (Unique data accumulation over time) - Workflow Embedding (Deep integrations into enterprise systems) - Switching Costs (Difficult for customers to leave) - Regulatory Barriers (Exclusive compliance benefits)
6. Develop MVP Implementation Plan
- Select Core Features
→ "What’s the simplest version of this idea that solves a critical problem?" - Choose Low-Cost Tech Stack
→ "Use no-code, open-source, or API-based solutions." - Plan MVP Timeline & Budget
→ "What’s the fastest way to launch within a $5,000 budget?"
7. Formulate a Go-To-Market Strategy
- Initial Market Penetration
→ "Who are the early adopters most likely to pay for this?" - Viral Growth Tactics
→ "How can this business model create network effects?" - Sales & Distribution Channels
→ "What’s the lowest-cost method to acquire users at scale?"
8. Continuous Iteration & Refinement
- Test Assumptions → Conduct real-world validation via beta users.
- Pivot Based on Data → Adjust based on engagement & market response.
- Re-run Research Cycle → Regularly update findings as the market evolves.
9. Financial Projections & Scalability
- Project Revenue Milestones (ARR targets for Year 1, 2, 3).
- Define Pricing Models (Subscription, usage-based, freemium, etc.).
- Plan for VC Readiness (If scaling beyond $100M ARR).
Final Output
A fully-researched business blueprint with:
✔ A validated startup idea
✔ A tactical growth roadmap
✔ MVP execution plan
✔ Monetization model
✔ Scalability strategy
This framework ensures high-probability success while minimizing risk and development cost. 🚀