Research a niche market with AI
Create a fast market scan with customer segments, competitors, pain points, channels, and positioning ideas.
Setup time
1 hour
Time saved
4-7 hours
Best for
Solo founders, Agencies, Product teams
Tools
Perplexity, ChatGPT, Google Sheets
Overview
This workflow gives founders a structured way to understand a niche before building, buying ads, or writing positioning.
When to use this workflow
Tools you need
Perplexity
AI search
Answer engine for web research, source discovery, and market scans.
Visit websiteChatGPT
AI assistant
General AI assistant for drafting, reasoning, rewriting, and structured content generation.
Visit websiteGoogle Sheets
Spreadsheet
Spreadsheet tool for lists, planning, lightweight reporting, and repeatable review workflows.
Visit websiteStep-by-step workflow
Define the market question
Write the market, target customer, geography, price point, and decision you need to make.
Tool used
Google Sheets
Expected output
A clear research brief.
Collect sources
Use AI search to gather competitors, communities, reports, marketplaces, and review sites.
Tool used
Perplexity
Expected output
A source list with notes.
Analyze patterns
Ask AI to extract customer segments, jobs-to-be-done, objections, buying triggers, and channels.
Tool used
ChatGPT
Expected output
A structured market map.
Create positioning options
Generate differentiated positioning angles and testable landing page messages.
Tool used
ChatGPT
Expected output
A set of positioning hypotheses.
Prompt templates
Market map
Create a structured market map for [niche]. Include customer segments, competitors, alternatives, buying triggers, pain points, channels, and open questions.Positioning options
Based on this market research, generate 8 positioning options. For each, include target customer, promise, proof, risk, and a landing page headline. Research: [paste]Automation ideas
- Save source links to Airtable for review
- Create a weekly competitor monitoring digest
- Turn research notes into landing page copy briefs
Common mistakes
- Treating AI output as verified research
- Skipping primary customer conversations
- Researching too broad a market
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