anysite Competitor Intelligence Skill

anysite Competitor Intelligence

Comprehensive competitive intelligence gathering using anysite MCP server. Track competitors across LinkedIn, social media, and the web to understand their strategies, monitor their activities, and identify competitive opportunities.

Overview

The anysite Competitor Intelligence skill helps you:

Track competitor companies on LinkedIn and Y Combinator
Monitor hiring patterns to identify growth areas and strategic priorities
Analyze content strategies across social platforms
Benchmark positioning and messaging
Identify key employees and leadership changes
Track competitive movements like funding, launches, partnerships

This skill provides 90% coverage of competitive intelligence capabilities with excellent LinkedIn and social media monitoring.

v2 Tool Interface

All data fetching uses the universal execute() meta-tool:

execute(source, category, endpoint, params) → returns data + cache_key

After fetching, use these for analysis and export:

get_page(cache_key, offset, limit) — paginate through large result sets
query_cache(cache_key, conditions, sort_by, aggregate, group_by) — filter/sort/aggregate cached data without re-fetching
export_data(cache_key, format) — export to CSV, JSON, or JSONL for sharing

Always call discover(source, category) first if unsure about endpoint names or params.

Error handling: Check response for llm_hint field on errors — it provides actionable guidance (e.g., "Likely passed fsd_company URN instead of company: prefix").

Supported Platforms

LinkedIn (Primary): Company pages, employee search, post monitoring, job listings, growth tracking
Y Combinator: Startup competitor research, funding data, batch analysis
Twitter/X: Social presence monitoring, content strategy, engagement analysis
Reddit: Community sentiment, product discussions, competitor mentions
Instagram: Brand presence, visual content strategy, influencer partnerships
YouTube: Video content, channel growth, community engagement
Web Scraping: Company websites, press releases, blog content
SEC: Public company filings for competitors

Quick Start

Step 1: Identify Competitors

Choose your competitor identification method:

| Goal | v2 Call | Output | |------|---------|--------| | Find similar companies | execute("linkedin", "search", "search_companies", {"keywords": "...", "count": 50}) | Company list with metrics | | Research startup competitors | execute("yc", "search", "search_companies", {"query": "...", "count": 50}) | YC startups by industry/batch | | Discover by employee search | execute("linkedin", "search", "search_users", {...}) → extract companies | Companies from employee profiles | | Find by keywords/industry | execute("linkedin", "search", "search_companies", {"keywords": "...", "industry": "...", "count": 50}) | Filtered company list |

Step 2: Gather Competitive Intelligence

Execute MCP tools to collect competitor data:

Company Profile Analysis

execute("linkedin", "company", "company", {"company": "competitor-name"})
→ Returns: Description, size, location, website, specialties, URN

Employee Intelligence

execute("linkedin", "search", "search_users", {
  "company_keywords": "Competitor Inc",
  "title": "VP OR Director OR Head",
  "count": 50
})
→ Returns: Key employees, org structure insights
→ Use get_page(cache_key, 10, 50) to load more results

Hiring Velocity Analysis

execute("linkedin", "company", "company_employee_stats", {
  "urn": {"type": "company", "value": "<company_id>"}
})
→ Returns: Growth metrics, department distribution
→ Use query_cache(cache_key, sort_by=[{"field": "count", "order": "desc"}]) to rank departments

Content Strategy

execute("linkedin", "company", "company_posts", {
  "urn": {"type": "company", "value": "<company_id>"},
  "count": 20
})
→ Returns: Recent posts, engagement, messaging themes
→ Use query_cache(cache_key, aggregate=[{"field": "reactions", "function": "avg"}]) for engagement stats

Step 3: Process and Analyze

Analyze gathered data for:

Growth signals: Hiring velocity, funding, expansion
Strategic priorities: Department hiring, job postings, content themes
Market positioning: Messaging, target audience, value props
Competitive threats: New products, partnerships, key hires

Use query_cache() to filter and aggregate without re-fetching:

query_cache(cache_key, conditions=[{"field": "department", "operator": "contains", "value": "Engineering"}])

Step 4: Format Output

Chat Summary: Competitive insights with key findings CSV Export: export_data(cache_key, "csv") → Competitor comparison matrix JSON Export: export_data(cache_key, "json") → Complete data for tracking over time

Common Workflows

Workflow 1: Comprehensive Competitor Profile

Scenario: Deep dive on a specific competitor

Steps:

Company Overview

execute("linkedin", "company", "company", {"company": "competitor"})
→ Size, industry, description, website, founding year
→ Save the URN (convert fsd_company to company: prefix for sub-endpoints)

Leadership Team

execute("linkedin", "search", "search_users", {
  "company_keywords": "Competitor Inc",
  "title": "C-level OR VP OR SVP OR President",
  "count": 50
})
→ C-suite and VP-level executives
→ Use get_page(cache_key, 10, 50) for more results

Organizational Structure

execute("linkedin", "company", "company_employee_stats", {
  "urn": {"type": "company", "value": "<company_id>"}
})
→ Total employees, growth rate, department breakdown

For each department:
  execute("linkedin", "search", "search_users", {
    "company_keywords": "Competitor Inc",
    "title": "<department_title>",
    "count": 50
  })
→ Team sizes, key roles

Hiring Intelligence

execute("linkedin", "search", "search_jobs", {"keywords": "Competitor Inc", "count": 50})
→ Open positions, hiring priorities, expansion areas
→ Use query_cache(cache_key, group_by="location") to see geographic expansion

Content Strategy

execute("linkedin", "company", "company_posts", {
  "urn": {"type": "company", "value": "<company_id>"},
  "count": 50
})
→ Posting frequency, themes, engagement levels

execute("twitter", "user", "user", {"user": "competitor"})
execute("twitter", "user", "user_posts", {"user": "competitor", "count": 50})
→ Social media presence and strategy

Product/Market Intelligence

execute("webparser", "parse", "parse", {"url": "https://competitor.com"})
→ Positioning, messaging, product offerings

execute("webparser", "parse", "parse", {"url": "https://competitor.com/blog"})
→ Content topics, thought leadership

execute("reddit", "search", "search_posts", {"query": "Competitor Inc", "count": 20})
→ Customer sentiment, product feedback

Expected Output:

Complete company profile
Leadership team roster (10-20 executives)
Hiring velocity and priorities
Content strategy analysis
Product positioning insights
Customer sentiment summary
Use export_data(cache_key, "csv") to create downloadable competitor report

Workflow 2: Competitive Landscape Mapping

Scenario: Map all competitors in your space

Steps:

Identify Competitors

execute("linkedin", "search", "search_companies", {
  "keywords": "<your industry keywords>",
  "industry": "<industry>",
  "employee_count": ["51-200", "201-500", "501-1000"],
  "count": 50
})

Filter and Prioritize

For each company:
  execute("linkedin", "company", "company", {"company": "<alias>"})
  → Review description for relevance
  → Check employee count and growth
  → Verify competitive overlap

Categorize Competitors

Direct: Same products, same market
Indirect: Similar products, different market
Potential: Adjacent space, could expand

Size and Growth Metrics

For each competitor:
  execute("linkedin", "company", "company_employee_stats", {
    "urn": {"type": "company", "value": "<company_id>"}
  })
  → Employee count, growth rate
  → Department distribution
  → Use query_cache() to compare across competitors

Positioning Analysis

For each competitor:
  execute("linkedin", "company", "company_posts", {
    "urn": {"type": "company", "value": "<company_id>"},
    "count": 10
  })
  → Key messaging themes

  execute("webparser", "parse", "parse", {"url": "<website>/about"})
  → Value proposition, target market

Funding and Traction (for startups)

execute("yc", "search", "search_companies", {"query": "<industry>", "count": 50})
→ YC competitors with funding data
→ Use query_cache(cache_key, sort_by=[{"field": "team_size", "order": "desc"}]) to rank by size

For each YC company:
  execute("yc", "company", "get", {"slug": "<company_slug>"})
  → Batch, team size, description

Expected Output:

20-50 competitors identified
Categorized by competitive threat level
Size and growth metrics for each
Positioning and messaging summaries
Competitive landscape map
Use export_data(cache_key, "csv") for the full comparison matrix

Workflow 3: Hiring Velocity Tracking

Scenario: Monitor competitor hiring to identify growth areas

Steps:

Baseline Employee Count

execute("linkedin", "company", "company_employee_stats", {
  "urn": {"type": "company", "value": "<company_id>"}
})
→ Current total employees
→ Department distribution

Track Open Positions

execute("linkedin", "search", "search_jobs", {"keywords": "Competitor Inc", "count": 100})
→ All open positions
→ Use query_cache(cache_key, group_by="location") to group by office

Group by department:
- Engineering roles
- Sales roles
- Marketing roles
- Operations roles

Analyze Recent Hires

execute("linkedin", "search", "search_users", {
  "company_keywords": "Competitor Inc",
  "count": 100
})
→ Get all employees
→ Use get_page(cache_key, 10, 100) to paginate through full list

Filter for recent joins:
execute("linkedin", "user", "user_experience", {
  "urn": {"type": "fsd_profile", "value": "<profile_id>"},
  "count": 5
})
→ Start date at current company
→ Identify hires from last 3-6 months

Track Key Departures

For former employees:
execute("linkedin", "search", "search_users", {"keywords": "Competitor Inc", "count": 50})
→ Filter profiles showing "Former" or past employment

Identify:
- Leadership departures
- Team exodus (multiple from same department)
- Moves to other competitors

Competitive Recruiting Analysis

Identify where competitors hire from:
- For each new hire: get previous companies
- Track talent pipelines
- Identify poaching patterns
→ Use export_data(cache_key, "csv") to build a hiring tracker spreadsheet

Expected Output:

Hiring velocity (hires per month/quarter)
Department growth priorities
Key hires and their backgrounds
Leadership changes
Talent pipeline insights

Workflow 4: Content Strategy Benchmarking

Scenario: Analyze competitor content across platforms

Steps:

LinkedIn Content

execute("linkedin", "company", "company_posts", {
  "urn": {"type": "company", "value": "<company_id>"},
  "count": 50
})
→ Use query_cache(cache_key, aggregate=[{"field": "comment_count", "function": "avg"}]) for engagement stats

Analyze:
- Posting frequency (posts/week)
- Content types (articles, videos, polls)
- Engagement rates (likes, comments, shares)
- Topics and themes
- Employee advocacy (shares/comments from team)

Twitter/X Content

execute("twitter", "user", "user", {"user": "competitor"})
execute("twitter", "user", "user_posts", {"user": "competitor", "count": 100})

Analyze:
- Tweet frequency
- Engagement metrics
- Content themes
- Use of threads/media
- Response rates

YouTube Content

execute("youtube", "channel", "channel_videos", {"channel": "competitor", "count": 30})

For each video:
  execute("youtube", "video", "video", {"video": "<video_id>"})

Analyze:
- Upload frequency
- View counts
- Engagement (likes, comments)
- Content types (demos, webinars, customer stories)
- Video length and production quality
→ Use query_cache(cache_key, sort_by=[{"field": "view_count", "order": "desc"}]) to find top videos

Instagram Content (if B2C)

execute("instagram", "user", "user", {"user": "competitor"})
execute("instagram", "user", "user_posts", {"user": "competitor", "count": 50})

Analyze:
- Post frequency
- Visual style/branding
- Engagement rates
- Use of Reels vs. static posts
- Influencer partnerships

Blog/Website Content

execute("webparser", "parse", "parse", {"url": "https://competitor.com/blog"})
execute("webparser", "sitemap", "sitemap", {"url": "https://competitor.com"})
→ Find all blog posts

Analyze:
- Publishing frequency
- Content topics
- SEO keywords
- Thought leadership positioning

Community Sentiment

execute("reddit", "search", "search_posts", {"query": "Competitor Inc", "count": 50})
execute("reddit", "search", "search_posts", {"query": "competitor product name", "count": 50})

Analyze:
- Customer feedback
- Common complaints
- Product strengths
- Feature requests
→ Use query_cache(cache_key, sort_by=[{"field": "comment_count", "order": "desc"}]) to find most-discussed threads

Expected Output:

Cross-platform content strategy matrix
Engagement benchmarks
Content themes and messaging
Platform prioritization insights
Community sentiment summary
Use export_data(cache_key, "csv") for cross-platform content comparison

MCP Tools Reference (v2)

LinkedIn Company Intelligence

Company Profile — execute("linkedin", "company", "company", {"company": "..."})

Get detailed company profile
Returns: Description, website, size, industry, specialties, URN

Employee Stats — execute("linkedin", "company", "company_employee_stats", {"urn": {"type": "company", "value": "..."}})

Get employee statistics and growth
Returns: Total employees, growth metrics, department distribution
Note: URN must use company: prefix (not fsd_company). Convert: urn:li:fsd_company:1441 → company:1441

Company Posts — execute("linkedin", "company", "company_posts", {"urn": {"type": "company", "value": "..."}, "count": N})

Get recent company posts
Returns: Posts with engagement metrics, content, timestamps

LinkedIn People Intelligence

Search Users — execute("linkedin", "search", "search_users", {"company_keywords": "...", "title": "...", "count": N})

Find employees at competitor companies
Filter by title, department, location
Returns: Employee profiles with titles and URLs

User Profile — execute("linkedin", "user", "user", {"user": "..."})

Get detailed employee profile
Returns: Work history, education, skills

User Experience — execute("linkedin", "user", "user_experience", {"urn": {"type": "fsd_profile", "value": "..."}, "count": N})

Get detailed work history
Returns: All positions with dates and descriptions

LinkedIn Jobs

Search Jobs — execute("linkedin", "search", "search_jobs", {"keywords": "...", "count": N})

Search job listings by keywords, location, and filters
Returns: Open positions with company, location, work type

Y Combinator Intelligence

Search Companies — execute("yc", "search", "search_companies", {"query": "...", "count": N})

Search YC companies by industry, batch, filters
Returns: Company list with batch, team size, status

Company Details — execute("yc", "company", "get", {"slug": "..."})

Get detailed YC company profile
Returns: Description, founders, batch, status, links

Search Founders — execute("yc", "search", "search_founders", {"query": "...", "count": N})

Search for founders by criteria
Returns: Founder profiles with company associations

Social Media Monitoring

Twitter/X:

execute("twitter", "search", "search_posts", {"query": "...", "count": N}) — Find competitor mentions
execute("twitter", "user", "user", {"user": "..."}) — Get competitor profile
execute("twitter", "user", "user_posts", {"user": "...", "count": N}) — Get recent tweets

Instagram:

execute("instagram", "search", "search_posts", {"query": "...", "count": N}) — Find hashtag/keyword mentions
execute("instagram", "user", "user", {"user": "..."}) — Get profile stats
execute("instagram", "user", "user_posts", {"user": "...", "count": N}) — Get recent posts

Reddit:

execute("reddit", "search", "search_posts", {"query": "...", "count": N}) — Find discussions about competitors
execute("reddit", "posts", "posts", {"post_url": "..."}) — Get post details and sentiment

YouTube:

execute("youtube", "search", "search_videos", {"query": "...", "count": N}) — Find competitor videos
execute("youtube", "channel", "channel_videos", {"channel": "...", "count": N}) — Get all channel videos
execute("youtube", "video", "video", {"video": "..."}) — Get video details and metrics

Web Intelligence

Parse Webpage — execute("webparser", "parse", "parse", {"url": "..."})

Extract content from competitor websites
Returns: Text content, links, contacts

Sitemap — execute("webparser", "sitemap", "sitemap", {"url": "..."})

Get all pages on competitor site
Returns: URL list for comprehensive analysis

Web Search — execute("duckduckgo", "search", "search", {"query": "..."})

Search for competitor mentions across the web
Returns: Search results with URLs and descriptions

Data Analysis Tools (use with any cache_key from execute)

Pagination — get_page(cache_key, offset, limit)

Load more results beyond first page when next_offset is returned

Filter/Aggregate — query_cache(cache_key, conditions, sort_by, aggregate, group_by)

Filter, sort, aggregate cached data without new API calls
Example: query_cache(cache_key, sort_by=[{"field": "employee_count", "order": "desc"}])

Export — export_data(cache_key, format)

Export to "csv", "json", or "jsonl"
Returns downloadable URL

Output Formats

Chat Summary

Provides competitive intelligence highlights:

Key findings and insights
Competitive threats identified
Growth signals and strategic moves
Recommended actions
Top 3-5 competitors to watch

CSV Export

Use export_data(cache_key, "csv") for competitor comparison matrix with:

Company name, size, location
Employee count and growth rate
Posting frequency and engagement
Key differentiators
Competitive threat score

JSON Export

Use export_data(cache_key, "json") for complete competitive data for:

Time-series tracking
Dashboard visualization
Automated monitoring
Integration with BI tools

Advanced Features

Competitive Intelligence Dashboard

Track competitors over time by storing data and comparing:

Monthly Snapshot:

{
  "date": "2026-01-29",
  "competitors": [
    {
      "name": "Competitor A",
      "employees": 350,
      "monthly_growth": 8,
      "open_positions": 25,
      "linkedin_posts": 12,
      "twitter_followers": 5400,
      "funding_stage": "Series B"
    }
  ]
}

Trend Analysis:

Employee growth over 6 months
Content output changes
Positioning shifts
Leadership changes

SWOT Analysis Framework

Strengths (from LinkedIn, website, reviews):

Team expertise (LinkedIn profiles)
Product features (website, Reddit feedback)
Market position (company size, growth)
Brand recognition (social followers, engagement)

Weaknesses (from reviews, job postings, employee turnover):

Customer complaints (Reddit, review sites)
Hiring challenges (multiple re-postings)
Employee turnover (LinkedIn departures)
Product gaps (feature requests in forums)

Opportunities (from market analysis):

Underserved segments (job posting patterns)
Geographic expansion (new office locations)
Product expansion (new roles, content themes)

Threats (from competitive monitoring):

New entrants (YC batch analysis)
Competitive hiring (talent poaching)
Product launches (company posts, blogs)
Pricing changes (website updates)

Win/Loss Analysis

Track deals against specific competitors:

Data Points to Collect:

Competitor encountered (company name)
Deal stage (lost/won)
Key differentiators discussed
Pricing comparison
Feature comparison
Decision factors

Intelligence Gathering:

For each competitor in win/loss:
1. execute("linkedin", "company", "company", {"company": "..."}) → Current positioning
2. execute("webparser", "parse", "parse", {"url": "<website>/pricing"}) → Pricing strategy
3. execute("webparser", "parse", "parse", {"url": "<website>/features"}) → Feature set
4. execute("reddit", "search", "search_posts", {"query": "competitor", "count": 20}) → Customer feedback
5. execute("linkedin", "company", "company_posts", {"urn": {"type": "company", "value": "..."}, "count": 10}) → Recent messaging

Analysis:

Win rate by competitor
Common objections
Competitive advantages/disadvantages
Pricing positioning
Feature gaps

Recommendations

For Local/Retail Competitors: Focus on:

LinkedIn company presence
Instagram brand content
Website location pages
Reddit community discussions

For Tech/SaaS Competitors: Excellent coverage through:

LinkedIn (primary intelligence)
Y Combinator (for startups)
Twitter (tech community presence)
Product Hunt mentions

For Enterprise Competitors:

LinkedIn extremely comprehensive
SEC filings for public companies
Professional social presence
Limited need for consumer platforms

Reference Documentation

ANALYSIS_PATTERNS.md - Competitive analysis frameworks, SWOT templates, and intelligence gathering patterns

Troubleshooting

Issue: Competitor Not Found on LinkedIn

Solution:

Try company name variations
Search for employees and extract company
Check if using DBA vs. legal name
Try website domain search
Error 412 means not found — check the llm_hint in the response for guidance

Issue: Limited Employee Data

Solution:

Employees may have privacy settings
Try searching by title without company filter
Focus on public leadership team
Use website team pages as alternative

Issue: No Recent Company Posts

Solution:

Company may not be active on LinkedIn
Check Twitter/Instagram instead
Use website blog for content analysis
Focus on employee posts mentioning company

Issue: URN Format Errors (422)

Solution:

Company sub-endpoints require company: prefix, NOT fsd_company
Convert: urn:li:fsd_company:1441 → use {"type": "company", "value": "1441"}
User sub-endpoints require fsd_profile URN from /linkedin/user response
Always get URNs from the parent endpoint response first

Ready to analyze competitors? Ask Claude to help you research competitors, track hiring patterns, or benchmark competitive positioning using this skill!

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