Recursive Niche Deconstruction for Market Research
{ "industry": "${industry}", "region": "${region}", "tree": { "level": "Macro", "name": "...", "market_valuation": "$X", "top_players": [ { "name": "Company A", "type": "Incumbent", "focus": "Broad" }, { "name": "Company B", "type": "Incumbent", "focus": "Broad" } ], "children": [ { "level": "Sub-Niche/Micro", "name": "...", "narrowing_variable": "...", "market_valuation": "$X", "top_players": [ { "name": "Startup C", "type": "Specialist", "focus": "Verticalized" }, { "name": "Tool D", "type": "Micro-SaaS", "focus": "Hyper-Specific" } ], "children": [] } ] }, "keyword_analysis": { "monthly_traffic": "{region-specific traffic data}", "competitiveness": "{region-specific competitiveness data}", "potential_keywords": [ { "keyword": "...", "traffic": "...", "competition": "..." } ] } }
fill the variables
This prompt has 4 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{"industry": "${industry}{region}{"monthly_traffic": "{region-specific traffic data}{region-specific competitiveness data}
Unlock with Pro →when to use it
Community prompt from the open-source awesome-chatgpt-prompts library (CC0 public domain). A proven "Recursive Niche Deconstruction for Market Research" starting point — swap in your own specifics and constraints. Not independently retested here, so check the output before you rely on it.
tags
businesscommunitygeneral
source
awesome-chatgpt-prompts · CC0 1.0 (public domain)