backlink-analyzer▌
aaron-he-zhu/seo-geo-claude-skills · updated Apr 8, 2026
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Comprehensive backlink profile analysis with toxic link detection, opportunity discovery, and competitor benchmarking.
- ›Analyzes link authority, quality metrics (DA/DR), anchor text distribution, and link velocity to assess profile health
- ›Identifies toxic and spammy links with risk scoring and generates disavow recommendations
- ›Discovers link building opportunities through competitor intersection analysis, broken links, and unlinked mentions
- ›Tracks new and lost links over time, comp
Backlink Analyzer
SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This monitoring skill follows the shared Skill Contract and State Model.
Analyzes, monitors, and optimizes backlink profiles. Identifies link quality, discovers opportunities, and tracks competitor link building activities.
System role: Monitoring layer skill. It turns performance changes into deltas, alerts, and next actions.
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 time-aware change detection, escalation, or stakeholder-ready visibility.
- Auditing your current backlink profile
- Identifying toxic or harmful links
- Discovering link building opportunities
- Analyzing competitor backlink strategies
- Monitoring new and lost links
- Evaluating link quality for outreach
- Preparing for link disavow
What This Skill Does
- Profile Analysis: Comprehensive backlink profile overview
- Quality Assessment: Evaluates link authority and relevance
- Toxic Link Detection: Identifies harmful links
- Competitor Analysis: Compares link profiles across competitors
- Opportunity Discovery: Finds link building prospects
- Trend Monitoring: Tracks link acquisition over time
- Disavow Guidance: Helps create disavow files
Quick Start
Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.
Analyze Your Profile
Analyze backlink profile for [domain]
Find Opportunities
Find link building opportunities by analyzing [competitor domains]
Detect Issues
Check for toxic backlinks on [domain]
Compare Profiles
Compare backlink profiles: [your domain] vs [competitor domains]
Skill Contract
Expected output: a delta summary, alert/report output, and a short handoff summary ready for memory/monitoring/.
- Reads: current metrics, previous baselines, alert thresholds, and reporting context from CLAUDE.md and the shared State Model when available.
- Writes: a user-facing monitoring deliverable plus a reusable summary that can be stored under
memory/monitoring/. - Promotes: significant changes, confirmed anomalies, and follow-up actions to
memory/open-loops.mdandmemory/decisions.md. - Next handoff: use the
Next Best Skillbelow when a change needs 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 ~~link database + ~~SEO tool connected: Automatically pull comprehensive backlink profiles including referring domains, anchor text distribution, link quality metrics (DA/DR), link velocity, and toxic link detection from ~~link database. Competitor backlink data from ~~SEO tool for gap analysis.
With manual data only: Ask the user to provide:
- Backlink export CSV (with source domains, anchor text, link type)
- Referring domains list with authority metrics
- Competitor domains for comparison
- Recent link gains/losses if tracking changes
- Any known toxic or spammy links
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 backlink analysis:
-
Generate Profile Overview -- Key metrics (total backlinks, referring domains, DA/DR, dofollow ratio), link velocity (30d/90d/year), authority distribution chart, profile health score.
-
Analyze Link Quality -- Top quality backlinks table, link type distribution, anchor text analysis (brand/exact/partial/URL/generic), geographic distribution.
-
Identify Toxic Links -- Toxic score, risk indicators by type (spam, PBN, link farms, irrelevant), high-risk links to review, disavow recommendations (domain-level and URL-level).
-
Compare Against Competitors -- Profile comparison table (referring domains, DA/DR, velocity, avg link DA), unique referring domains, link intersection analysis, competitor content attracting most links.
-
Find Link Building Opportunities -- Link intersection prospects, broken link opportunities, unlinked mentions, resource page opportunities, guest post prospects, priority matrix (effort vs impact).
-
Track Link Changes -- New and lost links for last 30 days with DA, type, anchor, dates. Net change and links to recover.
-
Generate Backlink Report -- Executive summary, strengths, concerns, opportunities, competitive position, recommended actions (immediate/short-term/long-term), KPIs to track.
Reference: See references/analysis-templates.md for complete output templates for all 7 steps above.
CITE Item Mapping
When running domain-authority-auditor after this analysis, the following data feeds directly into CITE scoring:
| Backlink Metric | CITE Item | Dimension |
|---|---|---|
| Referring domains count | C01 (Referring Domain Volume) | Citation |
| Authority distribution (DA breakdown) | C02 (Referring Domains Quality) | Citation |
| Link velocity | C04 (Link Velocity) | Citation |
| Geographic distribution | C10 (Link Source Diversity) | Citation |
| Dofollow/Nofollow ratio | T02 (Dofollow Ratio Normality) | Trust |
| Toxic link analysis | T01 (Link Profile Naturalness), T03 (Link-Traffic Coherence) | Trust |
| Competitive link intersection | T05 (Profile Uniqueness) | Trust |
Validation Checkpoints
Input Validation
- Target domain backlink data is complete and current
- Competitor domains specified for comparison analysis
- Backlink data includes necessary fields (source domain, anchor text, link type)
- Authority metrics available (DA/DR or equivalent)
Output Validation
- Every metric cites its data source and collection date
- Toxic link assessments include risk justification
- Link opportunity recommendations are specific and actionable
- Source of each data point clearly stated (~~link database data, ~~SEO tool data, user-provided, or estimated)
Example
User: "Find link building opportunities by analyzing HubSpot, Salesforce, and Mailchimp"
Output:
## Link Intersection Analysis
### Sites linking to 2+ competitors (not you)
| Domain | DA | HubSpot | Salesforce | Mailchimp | Opportunity |
|--------|-----|---------|------------|-----------|-------------|
| g2.com | 91 | ✅ | ✅ | ✅ | Get listed/reviewed |
| capterra.com | 89 | ✅ | ✅ | ✅ | Submit for review |
| entrepreneur.com | 92 | ✅ | ✅ | ❌ | Pitch guest post |
| techcrunch.com | 94 | ✅ | ❌ | ✅ | PR/news pitch |
### Top 5 Immediate Opportunities
1. **G2.com** (DA 91) - All competitors listed
- Action: Create detailed G2 profile
- Effort: Low
- Impact: High authority + referral traffic
2. **Entrepreneur.com** (DA 92) - 2 competitors have links
- Action: Pitch contributed article
- Effort: High
- Impact: High authority + brand exposure
3. **MarketingProfs** (DA 75) - All competitors featured
- Action: Apply for expert contribution
- Effort: Medium
- Impact: Relevant audience + quality link
### Estimated Impact
If you acquire links from top 10 opportunities:
- New referring domains: +10
- Average DA of new links: 82
- Estimated ranking impact: +2-5 positions for competitive keywords
Tips for Success
- Quality over quantity - One DA 80 link beats ten DA 20 links
- Monitor regularly - Catch lost links and toxic links early
- Study competitors - Learn from their link building success
- Diversify your profile - Mix of link types and anchors
- Disavow carefully - Only disavow clearly toxic links
Link Quality and Strategy Reference
Reference: See references/link-quality-rubric.md for the complete link quality scoring matrix (6 weighted factors), toxic link identification criteria, link profile health benchmarks, and disavow file guidance.
Reference: See references/outreach-templates.md for email outreach frameworks, subject line formulas, response rate benchmarks, follow-up sequences, and templates for each link building strategy.
Save Results
After delivering monitoring data or reports to the user, ask:
"Save these results for future sessions?"
If yes, write a dated summary to memory/monitoring/YYYY-MM-DD-<topic>.md containing:
- One-line headline finding or status change
- Top 3-5 actionable items
- Open loops or anomalies requiring follow-up
- Source data references
If any findings should influence ongoing strategy, recommend promoting key conclusions to memory/hot-cache.md.
Gate check recommended: If toxic link ratio exceeds 15%, recommend running domain-authority-auditor to assess overall domain trust impact.
Reference Materials
- Link Quality Rubric — Quality scoring matrix with weighted factors and toxic link identification criteria
- Outreach Templates — Email frameworks, subject line formulas, and response rate benchmarks
Next Best Skill
- Primary: domain-authority-auditor — translate link findings into a domain-level trust view.
How to use backlink-analyzer 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 backlink-analyzer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches backlink-analyzer 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 backlink-analyzer. Access the skill through slash commands (e.g., /backlink-analyzer) 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
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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★★★★★73 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
backlink-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Camila Perez· Dec 28, 2024
We added backlink-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sophia Martin· Dec 28, 2024
backlink-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakura Taylor· Dec 16, 2024
Keeps context tight: backlink-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Luis Ghosh· Dec 12, 2024
backlink-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yusuf Martin· Dec 12, 2024
Registry listing for backlink-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ren Gonzalez· Dec 4, 2024
backlink-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Bansal· Dec 4, 2024
backlink-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diego Chen· Nov 23, 2024
backlink-analyzer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Nov 19, 2024
I recommend backlink-analyzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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