competitor-analysis▌
aaron-he-zhu/seo-geo-claude-skills · updated May 8, 2026
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Comprehensive competitor SEO and GEO analysis revealing ranking strategies, content approaches, and market opportunities.
- ›Analyzes keyword rankings, content strategies, backlink profiles, and technical SEO across 2-5 competitors to identify performance gaps and actionable insights
- ›Includes GEO/AI citation analysis showing how competitors appear in AI responses and where citation opportunities exist
- ›Supports both automated data collection via SEO tool integrations (Ahrefs API) and man
Competitor Analysis
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This research skill follows the shared Skill Contract and State Model.
This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.
System role: Research layer skill. It turns market signals into reusable strategic inputs for the rest of the library.
When This Must Trigger
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs reusable market intelligence that should influence strategy, not just an ad hoc answer.
- Entering a new market or niche
- Planning content strategy based on competitor success
- Understanding why competitors rank higher
- Finding backlink and partnership opportunities
- Identifying content gaps competitors are missing
- Analyzing competitor AI citation strategies
- Benchmarking your SEO performance
What This Skill Does
- Keyword Analysis: Identifies keywords competitors rank for
- Content Audit: Analyzes competitor content strategies and formats
- Backlink Profiling: Reviews competitor link-building approaches
- Technical Assessment: Evaluates competitor site health
- GEO Analysis: Identifies how competitors appear in AI responses
- Gap Identification: Finds opportunities competitors miss
- Strategy Extraction: Reveals actionable insights from competitor success
Quick Start
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Basic Competitor Analysis
Analyze SEO strategy for [competitor URL]
Compare my site [URL] against [competitor 1], [competitor 2], [competitor 3]
Specific Analysis
What content is driving the most traffic for [competitor]?
Analyze why [competitor] ranks #1 for [keyword]
GEO-Focused Analysis
How is [competitor] getting cited in AI responses? What can I learn?
Skill Contract
Expected output: a prioritized research brief, evidence-backed findings, and a short handoff summary ready for memory/research/.
- Reads: user goals, target market inputs, available tool data, and prior strategy from CLAUDE.md and the shared State Model when available.
- Writes: a user-facing research deliverable plus a reusable summary that can be stored under
memory/research/. - Promotes: durable keyword priorities, competitor facts, entity candidates, and strategic decisions to
CLAUDE.md,memory/decisions.md, andmemory/research/; hand canonical entity work toentity-optimizer. - Next handoff: use the
Next Best Skillbelow when the findings are ready to drive action.
Data Sources
Note: All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
See CONNECTORS.md for tool category placeholders.
With ~~SEO tool + ~~analytics + ~~AI monitor connected: Automatically pull competitor keyword rankings, backlink profiles, top performing content, domain authority metrics from ~~SEO tool. Compare against your site's metrics from ~~analytics and ~~search console. Check AI citation patterns for both your site and competitors using ~~AI monitor.
With manual data only: Ask the user to provide:
- Competitor URLs to analyze (2-5 recommended)
- Your own site URL and current metrics (traffic, rankings if known)
- Industry or niche context
- Specific aspects to focus on (keywords, content, backlinks, etc.)
- Any known competitor strengths or weaknesses
Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
Instructions
When a user requests competitor analysis:
-
Identify Competitors
If not specified, help identify competitors:
### Competitor Identification Framework **Direct Competitors** (same product/service) - Search "[your main keyword]" and note top 5 organic results - Check who's advertising for your keywords - Ask: Who do customers compare you to? **Indirect Competitors** (different solution, same problem) - Search problem-focused keywords - Look at alternative solutions **Content Competitors** (compete for same keywords) - May not sell same product - Rank for your target keywords - Include media sites, blogs, aggregators -
Gather Competitor Data
Collect for each competitor: URL, domain age, estimated traffic, domain authority, business model, target audience, and key offerings.
-
Analyze Keyword Rankings
Document total keywords ranking, top 10/top 3 counts, top performing keywords (with position, volume, traffic, page URL), keyword distribution by intent, and keyword gaps.
-
Audit Content Strategy
Analyze content volume by type, top performing content, content patterns (word count, frequency, formats), content themes, and success factors.
-
Analyze Backlink Profile
Review total backlinks, referring domains, link quality distribution, top linking domains, link acquisition patterns, and linkable assets.
-
Technical SEO Assessment
Evaluate Core Web Vitals, mobile-friendliness, site architecture, internal linking quality, URL structure, and technical strengths/weaknesses.
-
GEO/AI Citation Analysis
Test competitor content in AI systems: document which queries cite them, GEO strategies observed (definitions, statistics, Q&A, authority signals), and GEO opportunities they are missing.
-
Synthesize Competitive Intelligence
Produce a final report with: Executive Summary, Competitive Landscape comparison table, CITE domain authority comparison, Strengths to Learn From, Weaknesses to Exploit, Keyword Opportunities, Content Strategy Recommendations, and Action Plan (Immediate / Short-term / Long-term).
Reference: See references/analysis-templates.md for detailed templates for each step.
Validation Checkpoints
Input Validation
- Competitor URLs verified as relevant to your niche
- Analysis scope defined (comprehensive or specific focus area)
- Your own site metrics available for comparison
- Minimum 2-3 competitors identified for meaningful patterns
Output Validation
- Every recommendation cites specific data points (not generic advice)
- Competitor strengths backed by measurable evidence (metrics, rankings)
- Opportunities based on identifiable gaps, not assumptions
- Action plan items are specific and actionable (not vague strategies)
- Source of each data point clearly stated (~~SEO tool data, ~~analytics data, ~~AI monitor data, user-provided, or estimated)
Example
Reference: See references/example-report.md for a complete example analyzing HubSpot's marketing keyword dominance.
Advanced Analysis Types
Content Gap Analysis
Show me content [competitor] has that I don't, sorted by traffic potential
Link Intersection
Find sites linking to [competitor 1] AND [competitor 2] but not me
SERP Feature Analysis
What SERP features do competitors win? (Featured snippets, PAA, etc.)
Historical Tracking
How has [competitor]'s SEO strategy evolved over the past year?
Tips for Success
- Analyze 3-5 competitors for comprehensive view
- Include indirect competitors - they often have innovative approaches
- Look beyond rankings - analyze content quality, user experience
- Study their failures - avoid their mistakes
- Monitor regularly - competitor strategies evolve
- Focus on actionable insights - what can you actually implement?
Save Results
After delivering findings to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to memory/research/competitor-analysis/YYYY-MM-DD-<topic>.md containing:
- One-line headline finding
- Top 3-5 actionable items
- Open loops or blockers
- Source data references
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.
Reference Materials
- Analysis Templates — Detailed templates for each analysis step (profile, keywords, content, backlinks, technical, GEO, synthesis)
- Battlecard Template — Quick-reference competitive battlecard for sales and marketing teams
- Positioning Frameworks — Positioning maps, messaging matrices, narrative analysis, and differentiation frameworks
- Example Report — Complete example analyzing HubSpot's marketing keyword dominance
Next Best Skill
- Primary: content-gap-analysis — turn competitor findings into a focused opportunity map.
How to use competitor-analysis on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add competitor-analysis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches competitor-analysis from GitHub repository aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate competitor-analysis. Access the skill through slash commands (e.g., /competitor-analysis) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★60 reviews- ★★★★★Dev Jackson· Dec 28, 2024
We added competitor-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 24, 2024
Keeps context tight: competitor-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Kim· Dec 24, 2024
Useful defaults in competitor-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Camila Rao· Dec 20, 2024
competitor-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sofia Desai· Dec 20, 2024
competitor-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Nasser· Dec 4, 2024
Solid pick for teams standardizing on skills: competitor-analysis is focused, and the summary matches what you get after install.
- ★★★★★Noor Harris· Nov 27, 2024
I recommend competitor-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yash Thakker· Nov 23, 2024
I recommend competitor-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nia Haddad· Nov 19, 2024
competitor-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 15, 2024
competitor-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
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