The "Recursive Niche Deconstruction for Market Research" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 284 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 284 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
{
"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": "..."
}
]
}
}