competitor-scan

Analyzes competitive landscapes to produce positioning matrices, messaging gaps, and ad-creative patterns from public libraries.

Updated Jun 1, 2026
One-click install
npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill competitor-scan-nikolaj-storm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitor-scan
Source: https://github.com/Nikolaj-Storm/Mad-Minds/tree/main/onlineminds-marketing/skills/competitor-scan
Command: npx skills add https://github.com/Nikolaj-Storm/Mad-Minds --skill competitor-scan-nikolaj-storm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps marketing teams quickly assess competitive landscapes and generate actionable positioning, messaging, and ad creative insights using public data sources.

Core Features & Use Cases

  • Compare brand positioning and messaging across competitors and markets.
  • Identify gaps, opportunities, and patterns in ads and content to inform strategy.
  • Produce a prioritized report with a clear path to optimization and execution.

Quick Start

Provide a brand and market, then run a competitor-scan to generate a positioning comparison report.

Frequently Asked Questions about competitor-scan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is competitor analysis for brand positioning and messaging?

Competitor analysis assesses the competitive landscape to generate actionable positioning and messaging insights. It produces a positioning matrix, identifies messaging gaps, and analyzes ad-creative patterns using public data sources.

How do I find messaging gaps and ad-creative patterns in my market?

You can identify messaging gaps by analyzing competitive landscapes using public Meta and Google ad libraries. The process produces a prioritized report highlighting opportunities and patterns to optimize your market strategy.

Does competitor-scan use third-party traffic or keyword data for benchmarking?

No, this competitor analysis approach does not use third-party traffic or keyword data sources. It relies strictly on public Meta and Google ad libraries alongside web research to benchmark competitors and generate positioning insights.

What data sources do I need to benchmark competitors and generate a positioning matrix?

You need a defined brand and market context. The scan uses public Meta and Google ad libraries alongside available web research to analyze ad-creative patterns and produce a positioning matrix without requiring third-party traffic data.

Can I analyze ad-creative patterns across different markets using public ad libraries?

Yes, you can analyze ad-creative patterns by leveraging public Meta and Google ad libraries. The scan assesses these public sources to compare brand positioning and identify messaging gaps across competitors and markets.

When should I avoid using public ad libraries for competitor benchmarking?

You should avoid relying solely on public ad libraries if your market lacks defined competitors or active public ad campaigns. The scan also does not provide third-party traffic or keyword data, limiting its use for traffic-based benchmarking.