Perplexity Researches Context, ChatGPT Writes Perfect Prompts — The $50K System
Perplexity Does Research, ChatGPT Writes Prompts Based on Facts — $50K in 30 Days
Nathan’s prompts were generic because his knowledge was generic. Now Perplexity AI researches deep context while ChatGPT software writes prompts from that research. The combination generated $50K last month.
The old problem: Nathan would write prompts about industries he barely understood. “Create marketing strategy for fintech startup.” ChatGPT would return Wikipedia-level garbage because Nathan’s prompt had Wikipedia-level depth.
Then Nathan discovered the two-step system: Perplexity researches everything about the topic first, then ChatGPT writes prompts using that research. The prompts went from generic to surgical.
Last month alone: Five clients paid $10K each for strategies that took Nathan two hours to create. The secret? His prompts knew more about their industry than they did.
The Knowledge Gap Problem
Nathan’s old process:
- Client asks for fintech marketing strategy
- Nathan Googles “fintech marketing” for 5 minutes
- Writes generic prompt to ChatGPT
- Gets generic output
- Client disappointed
The issue: You can’t prompt about what you don’t understand. ChatGPT isn’t magic—it needs context.
The Perplexity Research Phase
New process starts with deep research:
Perplexity research prompt: Research fintech marketing landscape:
- Current trends and shifts
- Top 10 competitor strategies
- Regulatory constraints
- Customer acquisition costs
- Successful campaign examples
- Failed approaches to avoid
- Industry-specific channels
- Emerging technologies
- Key influencers and thought leaders
- Recent news and developments
Perplexity returns:
- 15 pages of synthesized research
- Current CAC: $1,200-3,000
- Regulatory landmines to avoid
- 7 competitor strategies analyzed
- 3 emerging channels nobody’s using
- 12 recent campaign case studies
Now Nathan knows the industry.
ChatGPT Prompt Creation
With Perplexity’s research, ChatGPT writes informed prompts:
Nathan’s request to ChatGPT: “Based on this fintech industry research [pastes Perplexity findings], create a detailed prompt for generating a marketing strategy that addresses these specific industry challenges and opportunities.”
ChatGPT’s response: ROLE: You are a fintech marketing strategist with deep expertise in regulatory compliance, experience reducing CAC from $3,000 to under $500, and knowledge of emerging embedded finance channels.
CONTEXT:
- Industry: B2B fintech providing banking-as-a-service
- Current CAC industry average: $2,400
- Regulatory environment: Post-SVB collapse scrutiny
- Competitor focus: Enterprise accounts
- Untapped opportunity: SMB segment with embedded finance needs
SPECIFIC CHALLENGES TO ADDRESS:
- Compliance marketing requirements (Reg Z, TCPA)
- Trust deficit post-2023 banking crisis
- Enterprise sales cycles averaging 18 months
- Competition from established players (Stripe, Plaid)
STRATEGY REQUIREMENTS:
- Target CAC under $800
- Compliance-first approach
- Focus on underserved SMB segment
- Leverage embedded finance trend
- Avoid traditional paid channels (saturated)
CREATE:
- 90-day launch strategy
- Channel mix with projected CAC per channel
- Regulatory compliance checklist
- Competitive differentiation approach
- Content strategy targeting CFOs
- Partnership opportunities
- Metrics and KPIs
SUCCESS METRICS:
- CAC under $800 within 90 days
- 50+ qualified leads monthly
- 10% conversion rate
- Full regulatory compliance
This prompt generates strategies worth $10K because it knows the industry cold.
The $50K Month Breakdown
Five projects using the system:
Project 1: Fintech Strategy
- Research time: 30 minutes
- Prompt creation: 15 minutes
- Strategy generation: 15 minutes
- Client refinement: 1 hour
- Payment: $10K
Project 2: Healthcare SaaS
- Research: 45 minutes
- Total time: 2 hours
- Payment: $10K
Project 3: E-commerce Platform
- Research revealed untapped market
- Client pivoted entire business
- Payment: $10K + equity
Project 4: Legal Tech
- Found regulatory opportunity
- First-mover advantage identified
- Payment: $10K
Project 5: Real Estate Tech
- Discovered competitor weakness
- Exploitation strategy created
- Payment: $10K
Total: $50K for 10 hours work
The Compound Knowledge Effect
Each research session builds Nathan’s expertise:
Month 1: Researching everything, slow process Month 3: Pattern recognition across industries Month 6: Instant strategic insights Month 12: Recognized as industry expert
The research compounds. Nathan now knows more about his clients’ industries than most employees.
The Research-to-Prompt Templates
For Strategy Documents:
- Perplexity: Research [industry] strategic landscape
- Identify: Opportunities, threats, gaps
- ChatGPT: Create strategy prompt using research
- Generate: Multiple strategic options
- Select: Best approach for client context
For Content Creation:
- Perplexity: Research topic depth and competition
- Find: Unique angles and gaps
- ChatGPT: Create content prompt with unique angle
- Generate: Differentiated content
- Refine: Based on research insights
For Market Analysis:
- Perplexity: Deep dive on market dynamics
- Extract: Key insights and trends
- ChatGPT: Create analysis prompt with context
- Generate: Professional market analysis
- Validate: Against research data
The Competitive Intelligence Advantage
While competitors guess, Nathan knows:
Competitor approach: “I think fintech needs trust-building content”
Nathan’s approach: “Research shows 67% of fintech decisions involve compliance officers, not CMOs. Content should target compliance concerns, not features.”
Clients pay for insights, not opinions.
The System Evolution
Nathan’s progression:
Before system:
- Generic prompts
- Generic outputs
- $2K projects
- Constant revisions
With research:
- Informed prompts
- Expert outputs
- $10K projects
- One-shot success
Details on implementation here show the full methodology.
The Quality Difference
Without research: “Create fintech marketing strategy” → Generic 5-page document
With research: [Detailed prompt with industry context] → 20-page strategic playbook with competitive analysis, regulatory framework, and implementation roadmap
Same AI. Same time investment. 10x the value.
The Research Prompt Library
Nathan’s research templates:
Industry Deep Dive:
- Market size and growth
- Key players and strategies
- Regulatory environment
- Technology trends
- Customer segments
- Pricing models
- Distribution channels
- Success factors
- Failure patterns
- Future predictions
Competitive Intelligence:
- Top 10 competitors analyzed
- Strategies and positioning
- Strengths and weaknesses
- Pricing and business models
- Marketing channels
- Customer acquisition
- Recent developments
- Gaps and opportunities
<blockquote class=”twitter-tweet”><p lang=”en” dir=”ltr”>Steal this chatgpt cheatsheet for free😍<br><br>It’s time to grow with FREE stuff! <a href=”https://t.co/GfcRNryF7u”>pic.twitter.com/GfcRNryF7u</a></p>— Mohini Goyal (@Mohiniuni) <a href=”https://twitter.com/Mohiniuni/status/1960655371275788726?ref_src=twsrc%5Etfw”>August 27, 2025</a></blockquote> <script async src=”https://platform.twitter.com/widgets.js” charset=”utf-8″></script>
Your Prompts Are Weak Because Your Knowledge Is Weak
Nathan went from $2K to $10K projects by adding research before prompting. Same skills, same tools, 5x the revenue.
Perplexity gives you expert knowledge in minutes. ChatGPT turns that knowledge into expert prompts.
Your competitors are prompting blind. You could be prompting with intelligence.
The system is simple: Research first, prompt second, cash the check.
Stop guessing. Start knowing. The clients pay for the difference.
