competitor-profiling

Generate structured competitor profiles from URLs using Firecrawl and DataForSEO.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/fianchettogianni/my-marketing-skills --skill competitor-profiling-fianchettogianni
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitor-profiling
Source: https://github.com/fianchettogianni/my-marketing-skills/tree/main/skills/competitor-profiling
Command: npx skills add https://github.com/fianchettogianni/my-marketing-skills --skill competitor-profiling-fianchettogianni

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manual competitor research is time-consuming, inconsistent, and lacks the structured, comparable data needed for strategic marketing and sales decisions. This Skill automates the end-to-end process of gathering, organizing, and synthesizing competitor intelligence into standardized, actionable profiles.

Core Features & Use Cases

  • Standardized Profile Generation: Creates consistent, side-by-side comparable competitor profiles covering positioning, pricing, product features, SEO strength, customer bases, and review sentiment.
  • Flexible Depth Modes: Supports quick scans for fast, high-level overviews and deep profiles for comprehensive research including backlink analysis, content strategy, and review mining.
  • Use Case: A marketing team profiling 3 key competitors for a product launch can generate full profiles and a cross-competitor summary in minutes, identifying positioning gaps and pricing opportunities without manual data gathering.

Quick Start

Use the competitor-profiling skill to build full profiles for https://competitor-a.com, https://competitor-b.com, and https://competitor-c.com, including pricing, positioning, SEO metrics, and a cross-competitor summary.

Frequently Asked Questions about competitor-profiling

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

FAQPage Schema
How do I automate competitor profiling for multiple URLs at once?

Automated competitor profiling generates structured, comparable documents from a list of competitor URLs by scraping live sites and synthesizing data into standardized templates. This eliminates manual competitive intelligence gathering by producing side-by-side profiles covering positioning, pricing, and SEO strength.

Can I generate a quick competitive intelligence scan instead of a full deep analysis?

Quick competitive intelligence scans support fast, high-level overviews of competitor positioning and product features. Deep profile modes provide comprehensive research including backlink analysis, content strategy, and review mining for more strategic marketing and sales enablement tasks.

What is the best way to structure competitor research for sales enablement?

The best way to structure competitor research for sales enablement is generating standardized, side-by-side comparable profiles. These profiles cover positioning, pricing, product features, customer bases, and review sentiment, providing sales teams with actionable, source-traceable competitive insights.

Does competitor profiling work with SEO analysis and market data APIs?

Competitor profiling combines live site scraping via Firecrawl and SEO market data via DataForSEO. This integration captures SEO strength, backlink profiles, and content strategy metrics to produce actionable competitive intelligence.

How do I uncover market gaps and positioning opportunities from competitor data?

Cross-competitor summaries identify positioning gaps and pricing opportunities by comparing standardized profile data across multiple competitors. This analysis reveals market gaps by evaluating positioning, product features, and customer bases side-by-side.

What limitations exist when profiling competitor pricing and product roadmaps?

Profiling competitor pricing and product roadmaps relies on publicly available site data and SEO metrics. Profiles depend on live site scraping and external data APIs, meaning insights are limited to accessible information rather than internal roadmap details.