I've watched hundreds of people use Perplexity completely wrong.
That's insane.
These 10 prompts replace 20 hours of desk research. Not by being faster, but by being narrower.
Each one answers the concrete business questions founders actually have: Who buys first, why now, what stops them, what incumbents ignore.
Here's what actually works:
1/ "Who are the first 100 customers for [product]? Give me specific personas, where they hang out online, what triggers their buying decision, and which pain point they'll pay to solve first."
2/ "Why would someone switch from [incumbent] to [new solution] right now? What changed in their world that makes timing matter?"
I recently tested Perplexity for a week and it's on a whole different level.
Here are 7 prompts that turn Perplexity into your AI research analyst:
1. Market Timing Intel
Prompt:
"Find every major announcement, funding round, and product launch in [industry] from the last 90 days. For each one, show me: the date it happened, the companies involved, the dollar amounts if applicable, and most importantly - what trend or shift this signals. Then connect the dots: what pattern emerges when you look at all of these together? What's about to happen in this market that most people aren't seeing yet?"
Perplexity pulls real-time data with sources. ChatGPT hallucinates dates and makes up funding rounds.
I used this to spot the AI coding tools wave 4 months early. Built a product that hit $40k MRR because I saw it coming.
2. Competitive Teardown
Prompt:
"Deep dive on [company name]. I need: their actual revenue model (not what they say publicly, what they actually charge), their customer acquisition strategy (which channels they're investing in based on job postings and ads), their product roadmap clues (based on recent hires, patents, and beta features), their weaknesses (negative reviews, customer complaints, what people say on Reddit), and their next move (based on their hiring, funding, and market position). Give me sources for everything."
ChatGPT gives you generic competitive analysis. Perplexity finds the actual Reddit threads where users complain, the actual job postings that reveal strategy, the actual data.
I've used this to reverse-engineer 30+ competitors. Know their playbook before they execute it.
"Analyze the last 3 earnings calls for [company ticker].
Don't summarize what they said - tell me what they're NOT saying.
Focus on:
1) Questions the CEO dodged or gave vague answers to, 2) Metrics they stopped reporting compared to previous quarters, 3) Language changes - where they went from confident to cautious or vice versa, 4) New talking points that appeared suddenly, 5) Guidance changes and the exact wording they used to frame it. Then connect this to their stock performance in the 2 weeks following each call.
What pattern emerges?"
Gemini can process multiple transcripts simultaneously and catch subtle language shifts. I caught a revenue recognition issue 3 weeks before the stock tanked because the CFO changed how he talked about "bookings." Made 34% shorting it.
2. Sector Rotation Signals
Prompt:
"I'm tracking [sector]. Build me a real-time dashboard view:
1) Which stocks in this sector hit 52-week highs this week vs last week, 2) Institutional buying patterns - which funds increased positions based on 13F filings, 3) Insider trading activity with specific executives and dates, 4) Analyst upgrades/downgrades with the reasoning they gave, 5) Options flow - unusual call or put activity that suggests big bets.
Synthesize this: is smart money rotating into or out of this sector right now? Give me the 3 strongest signals."
ChatGPT hallucinates SEC filings. Gemini pulls actual data. I've caught 4 sector rotations early using this. Got into cybersecurity stocks 6 weeks before they ripped because institutional money was quietly accumulating while everyone watched tech.
I switched from ChatGPT to Claude for content writing and my engagement shot up 340% across all platforms. 😳
The secret? These 10 prompts that make Claude write like an actual human.
Here's exactly what I use:
1. The Coffee Shop Test
Prompt:
"Write this like you're explaining it to a friend over coffee. No marketing speak. No corporate jargon. Just straight talk about [topic]. If it sounds like a LinkedIn post, rewrite it."
Claude actually gets this. ChatGPT still sounds like it's pitching a SaaS product.
2. Voice Finder
Prompt:
"Give me 5 different ways to say this same idea. Make each one sound like a different person wrote it - one cynical, one excited, one skeptical, one matter-of-fact, one surprised."
This is how I find MY voice. Pick the version that feels most natural, then Claude refines it.
CHATGPT JUST TURNED MARKET RESEARCH INTO A ONE PERSON SUPERPOWER
You are wasting weeks interviewing customers, stalking competitors, and digging through reports when ChatGPT can compress the entire process into minutes with 5 prompts that feel like you’re plugging into a McKinsey analyst on caffeine.
Here's how:
1/ THE MARKET MAP PROMPT
Everyone starts with “what’s the market size lol”
but winners map the entire battlefield first.
Prompt to steal:
“Give me a complete market map for [industry].
Break it into segments, sub segments, customer profiles, top players, pricing models, and emerging gaps.
Highlight where new entrants have the highest odds of success.”
This gives you clarity fast.
2/ THE COMPETITOR AUTOPSY PROMPT
Stop guessing what your competitors are doing.
Gemini can literally dissect them.
Prompt to steal:
“Analyze the top 5 competitors in [space].
Break down their features, pricing, positioning, value props, moat, weaknesses, customer complaints, and hidden advantages.
Summarize as if you’re preparing a strategy memo for a CEO.”
[Paste your folder structure or describe your architecture]
- Must handle [X] concurrent users
- Need to support [specific features]
- Planning to scale to [target scale]
1. Architecture strengths (what's working well) 2. Critical bottlenecks (what will break at scale) 3. Security vulnerabilities (what could go wrong) 4. Recommended improvements (specific, actionable changes) 5. Implementation priority (what to fix first)
- Focus on production-ready solutions
- Consider cost implications
- Prioritize maintainability over clever code
2/ The Debug Detective
Stop spending 3 hours on bugs that Claude can solve in 3 minutes.
This prompt makes Claude think like a senior engineer tracking down edge cases.
---
[Describe what's happening vs what should happen]
[Paste actual error messages or unexpected behavior]
[Paste the files involved - models, controllers, components]
[What did you change before this broke?]
1. Identify the root cause (not just symptoms) 2. Explain WHY this is happening (teach me) 3. Provide the fix with inline comments 4. Suggest how to prevent this category of bug in the future 5. Write a test case that would have caught this
Think step-by-step like a debugging session. Show your reasoning process.