proprietary-data-generator

Proprietary Data Generator

Create original surveys, benchmarks, and aggregated data that nobody else has. Proprietary data is the ultimate content moat — competitors can copy your writing style but they can't copy YOUR data. Automates the design and execution framework for data collection that feeds unique content angles.

Stage

S7: Automation & Scale — Generating data at scale requires automation. This skill designs the collection system, not just one data point. Creates repeatable data assets that compound over time.

When to Use

• User wants to create content that can't be replicated by competitors
• User asks about "original research", "surveys", "benchmarks", "proprietary data"
• User says "data moat", "unique data", "first-party data", "original statistics"
• After content-moat-calculator identifies the need for differentiated content
• User wants to build authority through data-driven content
• User wants to create linkable assets that earn backlinks naturally

Input Schema

niche: string                 # REQUIRED — topic area for data collection
                              # e.g., "AI video tools", "affiliate marketing"

data_type: string             # OPTIONAL — "survey" | "benchmark" | "aggregation" | "case_study"
                              # Default: recommend based on niche and resources

audience_access: string       # OPTIONAL — how you can reach respondents
                              # e.g., "email list of 500", "Reddit community", "Twitter followers"
                              # Default: suggest options

budget: string                # OPTIONAL — "zero" | "low" ($0-100) | "medium" ($100-500) | "high" ($500+)
                              # Default: "zero"

goal: string                  # OPTIONAL — "content_moat" | "backlink_magnet" | "authority" | "lead_gen"
                              # Default: "content_moat"

Chaining from S3 content-moat-calculator: Use competitive_advantages to identify data moat opportunities.