A comprehensive competitive intelligence framework to analyze competitor SEO, track AI search citations, and build high-converting product comparison pages.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gingiris-competitor-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install gingiris-competitor-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Competitor Analysis - SEO/GEO Intelligence?
The gingiris-competitor-analysis skill provides a robust, actionable framework designed to map out competitor SEO, AI search presence, and overall market positioning. By identifying content gaps and checking how often competitors are cited in modern search engines, developers and growth marketers can deploy highly effective positioning strategies. Adding this to your library of Openclaw Skills enables automated execution of competitive intelligence tasks, streamlining the path from analysis to comparison page drafts.
With this tool, you can systematize your market research and consistently intercept decision-stage traffic. Rather than relying on sporadic manual audits, the integration of these Openclaw Skills helps developers implement automated triggers to continuously track keyword ranks, AI citations, and content changes across rival domains.
Competitor Analysis - SEO/GEO Intelligence Use Cases
- Identifying high-intent keyword gaps between your platform and competitors.
- Auditing AI search citation frequencies (ChatGPT, Perplexity, Claude) to map Generative Engine Optimization (GEO) performance.
- Designing high-converting "vs" comparison pages (
/vs/[competitor]) that build trust and capture decision-stage traffic. - Establishing a formalized market positioning framework, including differentiation and anti-positioning rules.
How Competitor Analysis - SEO/GEO Intelligence Works
- Competitor Identification: Categorize competitors into Direct, SEO, AI citation, and Content-based rivals to prioritize tracking.
- Keyword Gap Analysis: Export search engine ranking data, cross-reference overlaps, and filter high-volume, low-difficulty opportunities.
- AI Citation Auditing: Query major LLMs and generative search engines to record who gets cited for category queries and why.
- Structure Comparison Pages: Generate objective, E-E-A-T-friendly comparison templates containing schema markup and migration guides.
- Refining Brand Positioning: Define your unique category ownership, proof points, and anti-positioning limits based on collected data.
Competitor Analysis - SEO/GEO Intelligence Setup
To execute this skill within an AI agent framework supporting Openclaw Skills, set up the configuration file:
# Install the agent CLI if not already installed
npm install -g @openclaw/cli
# Add the competitor analysis skill to your agent's workspace
openclaw skill add gingiris-competitor-analysis
Create a skill configuration file competitor_config.json:
{
"your_domain": "mysite.com",
"competitors": ["competitor-a.com", "competitor-b.com"],
"keywords_file": "./data/raw_keywords.csv"
}
Competitor Analysis - SEO/GEO Intelligence Data Schema & Taxonomy
Output Directory Structure
/data/competitors/:matrix.md: Competitor Identification Matrix detailing competitors by priority.keyword_gap.csv: Filtered keywords with search volume, KD, and specific opportunity actions.ai_citation_scorecard.json: Tracking logs for ChatGPT, Perplexity, and Claude queries.
/content/vs/:[competitor]-comparison.md: Completed structured markdown for the vs page containing FAQ Schema markup.
Keyword Gap Data Taxonomy
| Field | Type | Description |
|---|---|---|
Keyword |
String | Target search query |
Competitor Rank |
Integer | Competitor's position on Google/AI search engines |
Volume |
Integer | Monthly search volume metric |
KD |
Integer | Keyword Difficulty score (0-100) |
Opportunity |
String | Recommended content action (e.g., "New Blog Post", "Optimize Page") |
Competitor Analysis - SEO/GEO Intelligence Advanced Features
- Generative Engine Optimization (GEO) Tracking: Tracks citations within modern AI-powered search engines (Perplexity, ChatGPT Search, Gemini).
- E-E-A-T-Compliant Comparison Templates: Automated generation of comparison page structures featuring honest pro/con structures, pricing value frames, and detailed migration steps.
- Automated Schema Generation: Built-in templates for structured FAQPage and Article microdata to optimize comparison pages for search engines.
- Multi-Skill Integration: Seamlessly pipe outputs into the
gingiris-blog-writerto generate content drafts, or thegingiris-seo-geoskill for site-wide technical SEO enhancements.
SKILL.md
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