What is Competitor Analyzer?
The Competitor Analyzer skill is a systematic framework for gathering and analyzing competitive intelligence using AnySite MCP tools. It combines web scraping, LinkedIn data, social media monitoring, leadership analysis, GitHub activity, and community insights to create comprehensive competitor profiles.Prerequisites
Before using this skill, ensure you have:Install AnySite MCP Server
Learn About Skills
Download Competitor Analyzer Skill
Download Competitor Analyzer Skill
Installation
- Download the skill file using the button above
- Upload to Claude Desktop (drag and drop or use upload button)
- Skill is ready - Start analyzing competitors immediately
Overview
The Competitor Analyzer skill performs multi-source competitive intelligence gathering:- Web Presence - Homepage, pricing, documentation, and product pages
- LinkedIn Intelligence - Company profile, team growth, leadership, content strategy
- Deep Social Intelligence - 300+ Twitter tweets across 4 layers, 300-500 Reddit posts across 5 layers, cross-platform sentiment analysis
- Leadership Analysis - Founders and C-level profiles, activity, thought leadership
- Technical Discovery - GitHub presence, API documentation, integration ecosystem
- Alternative Data - Glassdoor reviews, employee sentiment, hiring signals
- Strategic Synthesis - SWOT analysis, competitive positioning, actionable insights, trust scoring
Deep Social Intelligence
The skill includes advanced Twitter and Reddit research capabilities for comprehensive social media analysis.Twitter Intelligence (Layer 1-4)
Layer 1: Company Account Deep Dive
Layer 1: Company Account Deep Dive
- 100 posts analyzed for comprehensive content strategy
- Content mix analysis (product/thought leadership/engagement %)
- Engagement rate tracking
- Best performing content identification
- Response time patterns
Layer 2: Leadership Twitter Intelligence
Layer 2: Leadership Twitter Intelligence
- Founder/CEO Twitter presence analysis
- Personal brand strength assessment
- Technical credibility evaluation
- Thought leadership quality scoring
- Founder archetypes classification:
- The Builder - Technical focus
- The Evangelist - Industry leader
- The Engager - Community-focused
- The Silent - Minimal presence
Layer 3: Brand Mentions & Sentiment
Layer 3: Brand Mentions & Sentiment
- 100 positive signals (“love”, “great”, “recommend”)
- 100 negative signals (“problem”, “bug”, “expensive”)
- 100+ competitive mentions (“vs”, “alternative”)
Layer 4: Customer Voice Analysis
Layer 4: Customer Voice Analysis
- Real user mentions analysis
- Power users identification
- Success stories extraction
- Pain points detection
- Feature requests mapping
- Support quality assessment
Deep Reddit Research (Layer 1-5)
Layer 1: Multi-Subreddit Mapping
Layer 1: Multi-Subreddit Mapping
- r/SaaS, r/startups, r/webdev, r/programming
- r/nocode, r/automation, and more
Layer 2: Competitive Intelligence
Layer 2: Competitive Intelligence
- Direct “vs” comparisons (100 mentions)
- “Alternative to” searches (100 mentions)
- “Better than” queries (50 mentions)
- Problem space research
Layer 3: Deep Thread Analysis
Layer 3: Deep Thread Analysis
- Threads with 20+ comments
- Posts with 50+ upvotes
- Full discussion retrieval with comments
- Technical depth analysis
- User experience insights extraction
Layer 4: Sentiment Classification
Layer 4: Sentiment Classification
- “I love [tool]”, “Best [category]”
- “Highly recommend”
- User-created tutorials
- “Waste of money”, “Switched away”
- “Constant issues”
- “Cancelling subscription”
- “Not worth the price”
- “Moving to [competitor]”
Layer 5: Community Health Metrics
Layer 5: Community Health Metrics
Cross-Platform Intelligence Synthesis
New capability: Compare Twitter vs Reddit insights to identify authenticity gaps:| Aspect | Intelligence Value | ||
|---|---|---|---|
| Authenticity | Mixed (marketing + real) | High (anonymous honesty) | Truth detection |
| Depth | Surface-level | Deep technical | Real problems |
| Speed | Real-time | Slower, considered | Trend timing |
| Sentiment | More positive | More honest | Reality check |
| Best For | Brand monitoring | True insights | Combined view |
Marketing vs Reality
Organic Growth
Support Theater
Community Love
- High (> 0.6): Consistent positive across platforms
- Medium (0.3-0.6): Mixed or inconsistent feedback
- Low (< 0.3): Negative or fake positive signals
Social Intelligence Metrics
The skill analyzes comprehensive social media data:| Data Source | Volume Analyzed | Intelligence Type |
|---|---|---|
| Twitter posts | 100+ company posts | Content strategy, engagement patterns |
| Twitter mentions | 300+ brand mentions | Sentiment, customer voice, competitive |
| Reddit posts | 300-500 mentions | Community discussions, authentic feedback |
| Reddit threads | 5-10 deep dives | Technical insights, user experiences |
| Subreddits | 6-10 communities | Market awareness, niche presence |
| Sentiment analysis | Formula-based scoring | Trust score, authenticity assessment |
| Total social data | ~800 data points | Comprehensive social intelligence |
Usage Examples
Quick Competitor Scan
For rapid competitive assessment:Deep Competitive Intelligence
For comprehensive analysis:Pricing-Focused Analysis
When you need pricing intelligence:Leadership Team Research
For founder and executive intelligence:Battle Card Creation
For sales team enablement:Deep Twitter Intelligence
For brand and community analysis:Reddit Community Deep Dive
For authentic customer insights:Cross-Platform Sentiment Analysis
For authenticity assessment:Customer Voice Analysis
For real user experiences:Analysis Depths
The skill supports three levels of analysis depth:Quick Assessment
- Homepage & pricing scrape
- LinkedIn company profile
- Recent social posts (20 total)
- Core sections only
- Brief summary (1 page)
Deep Intelligence
- Full web presence (7-10 pages)
- Complete LinkedIn intelligence
- Social media deep dive (50-100 posts)
- Community sentiment analysis
- Technical documentation review
- Detailed markdown report
Specialized Focus
- Pricing Focus: Tier structures, unit economics, strategy
- Leadership Focus: Founder profiles, thought leadership
- Technical Focus: API docs, GitHub, integrations
- Battle Card: Head-to-head comparison
Key Features
Multi-Phase Intelligence Gathering
The skill uses a systematic 6-phase approach:Phase 1: Foundation
Phase 2: LinkedIn Intelligence
Phase 3: Deep Social & Community Research
Phase 4: Leadership Intelligence
Phase 5: Technical Discovery
Phase 6: Strategic Synthesis
Comprehensive Data Sources
The skill gathers intelligence from multiple channels:Web Scraping
Web Scraping
- Homepage and product pages
- Pricing and plans
- Documentation and API reference
- Integration marketplace
- About and company pages
LinkedIn Data
LinkedIn Data
- Company profile and metrics
- Employee count and growth
- Job postings and hiring signals
- Leadership team identification
- Content and posting strategy
- Engagement patterns
Social Media
Social Media
Leadership Intelligence
Leadership Intelligence
- Founder and C-level profiles
- Career history and expertise
- Personal posting activity
- Thought leadership quality
- Public credibility signals
- Network influence
Technical Signals
Technical Signals
- GitHub organization and repos
- Open source presence
- Star and fork counts
- Development velocity
- API documentation quality
- SDK availability
Alternative Data
Alternative Data
- Glassdoor employee reviews
- CEO approval ratings
- Salary ranges
- Interview difficulty
- Work-life balance scores
Strategic Analysis Framework
The skill synthesizes data into actionable insights:SWOT Analysis
- Strengths: What they do well
- Weaknesses: Where they struggle
- Opportunities: What you can exploit
- Threats: What you need to watch
Positioning Assessment
- Market positioning
- Value proposition analysis
- Differentiation strategy
- Target customer segments
Competitive Intelligence
- Pricing strategy
- Feature comparison
- GTM approach
- Growth signals
Strategic Insights
- Key takeaways (3-5 bullets)
- Competitive threats (2-3 bullets)
- Opportunities to exploit (3-5 bullets)
- Watch areas for monitoring
Analysis Phases in Detail
Phase 1: Foundation (15-20 min)
Data Collection:- Homepage messaging and positioning
- Pricing structure and tiers
- Company background and history
- Core features and capabilities
parse_webpage- Web scraping for key pagesget_sitemap- Site structure discovery
- Positioning statement
- Feature list
- Pricing model
- Company overview
Phase 2: LinkedIn Intelligence (10-15 min)
Data Collection:- Company profile and metrics
- Employee count and growth trends
- Leadership team identification
- Content and posting strategy
search_linkedin_companies- Find company profileget_linkedin_company- Detailed company dataget_linkedin_company_employees- Team analysisget_linkedin_company_posts- Content strategy
- Team size and growth rate
- Hiring signals
- Content themes and frequency
- Engagement levels
Phase 3: Deep Social & Community Research (20-30 min)
Data Collection:- Twitter Layer 1-4: Company account, leadership, mentions, customer voice (300+ tweets)
- Reddit Layer 1-5: Multi-subreddit mapping, competitive intel, deep threads (300-500 posts)
- Cross-platform synthesis: Pattern recognition and authenticity assessment
- Sentiment scoring: Formula-based analysis with trust scores
get_twitter_user- Profile and metricsget_twitter_user_posts- Activity analysis (100 posts)search_twitter_posts- Multi-layer mention tracking (300+ tweets)search_reddit_posts- Multi-subreddit intelligence (300-500 posts)get_reddit_post_comments- Deep thread analysis
- Social reach: Followers, engagement rates, community size
- Advanced sentiment: Twitter score, Reddit score, combined trust score
- Customer voice: Real experiences, success stories, pain points
- Competitive positioning: How they’re compared to alternatives
- Community health: Awareness score, health metrics, organic growth signals
- Authenticity assessment: Marketing vs reality gap identification
- Churn signals: Cancellation reasons, switching patterns
- Feature requests: What users want, what’s missing
Phase 4: Leadership Intelligence (15-20 min)
Data Collection:- Founder and C-level profiles
- Career history and expertise
- Personal posting activity
- Thought leadership quality
search_linkedin_users- Leadership identificationget_linkedin_profile- Detailed profilesget_linkedin_user_posts- Personal activityget_linkedin_user_comments- Engagement styleget_twitter_user- Personal brand
- Leadership team profiles
- Founder backgrounds
- Thought leadership assessment
- Public credibility signals
Phase 5: Technical Discovery (10-15 min)
Data Collection:- Documentation quality
- API capabilities
- GitHub presence
- Integration ecosystem
parse_webpage- Documentation scrapingget_sitemap- Integration discovery
- Technical capabilities assessment
- Developer experience quality
- Open source presence
- Integration partners
Phase 6: Strategic Synthesis (15-20 min)
Analysis Framework:- SWOT analysis
- Competitive positioning
- Strategic insights
- Action recommendations
- Comprehensive report
- Battle card (optional)
- Monitoring plan
- Strategic recommendations
Output Format
The skill produces two formats:JSON Template
Structured data for programmatic processing:Markdown Report
Human-readable comprehensive analysis:Common Use Cases
Market Entry
Product Strategy
Pricing Strategy
Sales Enablement
M&A Due Diligence
Partnership Evaluation
Quarterly Monitoring
Fundraising Prep
Behind the Scenes
The skill uses these AnySite MCP tools:- Web Intelligence
- LinkedIn Tools
- Search & Discovery
parse_webpage- Web page scrapingget_sitemap- Site structure discovery
- Homepage and product pages
- Pricing and documentation
- Integration marketplaces
Tips for Best Results
Advanced Techniques
Multi-Competitor Analysis
For analyzing 3-5 competitors simultaneously:- Run analysis workflow for each competitor
- Create comparison matrix
- Build feature comparison table
- Map pricing across competitors
- Identify market positioning clusters
Ongoing Monitoring
For quarterly updates without full re-analysis: Quick Check (3-5 minutes):- Re-scrape pricing page
- Check 10 recent LinkedIn posts
- Review employee count changes
- Scan Twitter mentions from last quarter
Battle Card Creation
For sales team enablement: Key Elements:- Quick facts (1-2 sentences)
- Feature comparison (table)
- Pricing comparison (clear numbers)
- 3 reasons we win
- 3 reasons we might lose
- Talk tracks
Leadership-Focused Deep Dive
For partnership or M&A scenarios:- Identify all founders and C-level
- Deep dive into each profile (50+ posts)
- Track personal brand evolution
- Map network and influence
- Assess credibility and expertise
- Evaluate cultural fit signals
Social Intelligence Playbook
Advanced techniques for ongoing social monitoring:- Weekly Monitoring
- Monthly Deep Dive
- Quarterly Battle Card Update
- Twitter mentions from last 7 days
- Reddit top discussions
- Sentiment trending up or down?
- New complaints emerged?
- Viral content patterns
Advanced Social Insights
What you’ll discover from deep social research:From Twitter
- Founder credibility and thought leadership
- Real-time customer support quality
- Feature request velocity
- Churn warning signals
- Power user identification
- Viral content patterns
From Reddit
- Unfiltered technical problems
- Pricing sensitivity insights
- Competitive win/loss factors
- Implementation challenges
- Workaround patterns (missing features)
- Community-driven solutions
From Cross-Platform Analysis
- Marketing vs reality gap
- Organic vs paid growth signals
- Support theater detection
- True product-market fit assessment
- Community health trajectory
- Trust score calculation
Strategic Signals
- Churn patterns and reasons
- Feature gap opportunities
- Pricing pressure points
- Customer success factors
- Community advocate identification
- Competitive vulnerability spots
Example Output Preview
Troubleshooting
Can't find company on LinkedIn
Can't find company on LinkedIn
- Try variations of company name (Inc., LLC, etc.)
- Search for CEO name, find company from their profile
- Check if they use different legal name vs brand name
- Try domain-based search if available
Pricing page missing or unclear
Pricing page missing or unclear
- Try alternative URLs: /plans, /buy, /subscribe, /get-started
- Look for pricing calculator or ROI tools
- Check for “Contact Sales” (signal of enterprise focus)
- Review archived pages on Wayback Machine
- Note absence as strategic signal (high-touch sales model)
No social media presence
No social media presence
Too much data, feeling overwhelmed
Too much data, feeling overwhelmed
- Start with Phase 1 & 2 only (foundation + LinkedIn)
- Generate partial report with what you have
- Use Quick Assessment mode (3-5 min)
- Focus on your specific research questions
- Add depth incrementally as needed
Leadership profiles are private or limited
Leadership profiles are private or limited
- Check their Twitter/personal websites instead
- Look for podcast appearances or interviews
- Review company blog posts authored by them
- Check conference speaking history
- Analyze what IS public for signals
Conflicting data across sources
Conflicting data across sources
- Note the conflict and both data points
- Prioritize official sources (website, LinkedIn)
- Check dates - newer information likely more accurate
- Look for third source to triangulate
- Document confidence level as “unclear”
Quality Standards
Good competitive analysis includes:Related Resources
Person Analyzer Skill
MCP Server Tools
Claude Desktop Setup
API Documentation
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Last Updated: November 18, 2025 Maintained by: AnySite.io