Comprehensive competitor SEO and GEO analysis revealing ranking strategies, content approaches, and market opportunities.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncompetitor-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches competitor-analysis from aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate competitor-analysis. Access via /competitor-analysis in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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.
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Analyze SEO strategy for [competitor URL]
Compare my site [URL] against [competitor 1], [competitor 2], [competitor 3]
What content is driving the most traffic for [competitor]?
Analyze why [competitor] ranks #1 for [keyword]
How is [competitor] getting cited in AI responses? What can I learn?
Expected output: a prioritized research brief, evidence-backed findings, and a short handoff summary ready for memory/research/.
memory/research/.CLAUDE.md, memory/decisions.md, and memory/research/; hand canonical entity work to entity-optimizer.Next Best Skill below when the findings are ready to drive action.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:
Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
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.
Reference: See references/example-report.md for a complete example analyzing HubSpot's marketing keyword dominance.
Show me content [competitor] has that I don't, sorted by traffic potential
Find sites linking to [competitor 1] AND [competitor 2] but not me
What SERP features do competitors win? (Featured snippets, PAA, etc.)
How has [competitor]'s SEO strategy evolved over the past year?
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:
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added competitor-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: competitor-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in competitor-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
competitor-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
competitor-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: competitor-analysis is focused, and the summary matches what you get after install.
I recommend competitor-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend competitor-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
competitor-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
competitor-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
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