> ## Documentation Index
> Fetch the complete documentation index at: https://docs.anysite.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Competitor Analyzer Skill

> Deep competitive intelligence for analyzing competitors, leadership teams, and market positioning

## 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:

<Card title="Install Anysite MCP Server" icon="plug" href="/mcp-server/claude-desktop-tool/installation">
  The Competitor Analyzer skill requires Anysite MCP Server with active subscription
</Card>

<Card title="Learn About Skills" icon="graduation-cap" href="/claude-skills/skills">
  New to Claude Desktop Skills? Read the complete guide on how to install and use skills
</Card>

## Download Competitor Analyzer Skill

<Card title="Download Competitor Analyzer Skill" icon="download" href="https://github.com/anysiteio/cookbook/raw/main/competitor-analyzer.skill">
  Click to download the Competitor Analyzer skill file
</Card>

### Installation

1. **Download** the skill file using the button above
2. **Upload** to Claude Desktop (drag and drop or use upload button)
3. **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)

<AccordionGroup>
  <Accordion title="Layer 1: Company Account Deep Dive" icon="building">
    * **100 posts analyzed** for comprehensive content strategy
    * Content mix analysis (product/thought leadership/engagement %)
    * Engagement rate tracking
    * Best performing content identification
    * Response time patterns
  </Accordion>

  <Accordion title="Layer 2: Leadership Twitter Intelligence" icon="user-tie">
    * 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
  </Accordion>

  <Accordion title="Layer 3: Brand Mentions & Sentiment" icon="hashtag">
    **300+ tweets analyzed:**

    * 100 positive signals ("love", "great", "recommend")
    * 100 negative signals ("problem", "bug", "expensive")
    * 100+ competitive mentions ("vs", "alternative")

    **Sentiment Scoring:**

    ```
    Score = (positive - negative) / total
    Range: -1.0 to +1.0

    > 0.3: Very positive
    0.1 to 0.3: Positive
    -0.1 to 0.1: Neutral/Mixed
    -0.3 to -0.1: Negative
    < -0.3: Very negative
    ```
  </Accordion>

  <Accordion title="Layer 4: Customer Voice Analysis" icon="comments">
    * Real user mentions analysis
    * Power users identification
    * Success stories extraction
    * Pain points detection
    * Feature requests mapping
    * Support quality assessment
  </Accordion>
</AccordionGroup>

### Deep Reddit Research (Layer 1-5)

<AccordionGroup>
  <Accordion title="Layer 1: Multi-Subreddit Mapping" icon="map">
    **Targeted search across 6-10 relevant subreddits:**

    * r/SaaS, r/startups, r/webdev, r/programming
    * r/nocode, r/automation, and more

    **50 mentions per subreddit = 300-500 total Reddit mentions**
  </Accordion>

  <Accordion title="Layer 2: Competitive Intelligence" icon="chess">
    * Direct "vs" comparisons (100 mentions)
    * "Alternative to" searches (100 mentions)
    * "Better than" queries (50 mentions)
    * Problem space research
  </Accordion>

  <Accordion title="Layer 3: Deep Thread Analysis" icon="messages">
    **High-value threads identification:**

    * Threads with 20+ comments
    * Posts with 50+ upvotes
    * Full discussion retrieval with comments
    * Technical depth analysis
    * User experience insights extraction
  </Accordion>

  <Accordion title="Layer 4: Sentiment Classification" icon="face-smile">
    **Positive indicators:**

    * "I love \[tool]", "Best \[category]"
    * "Highly recommend"
    * User-created tutorials

    **Negative indicators:**

    * "Waste of money", "Switched away"
    * "Constant issues"

    **Churn signals:**

    * "Cancelling subscription"
    * "Not worth the price"
    * "Moving to \[competitor]"
  </Accordion>

  <Accordion title="Layer 5: Community Health Metrics" icon="chart-line">
    **Metrics calculated:**

    ```
    awareness_score = total_mentions × unique_subreddits
    health_score = positive_ratio × community_help
    ```

    Tracks community vitality and organic growth
  </Accordion>
</AccordionGroup>

### Cross-Platform Intelligence Synthesis

**New capability:** Compare Twitter vs Reddit insights to identify authenticity gaps:

| Aspect           | Twitter                  | Reddit                   | 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      |

**Pattern Recognition Examples:**

<CardGroup cols={2}>
  <Card title="Marketing vs Reality" icon="mask">
    **Twitter:** All positive, high engagement
    **Reddit:** Mixed reviews, specific complaints
    **→ Signal:** Strong marketing, product gaps exist
  </Card>

  <Card title="Organic Growth" icon="seedling">
    **Twitter:** Moderate following, real conversations
    **Reddit:** Many mentions, users helping users
    **→ Signal:** True product-market fit
  </Card>

  <Card title="Support Theater" icon="theater-masks">
    **Twitter:** Quick responses, surface fixes
    **Reddit:** Unresolved complaints, workarounds
    **→ Signal:** Support theater vs real problems
  </Card>

  <Card title="Community Love" icon="heart">
    **Twitter:** Genuine praise, power users active
    **Reddit:** Advocates defending, tutorials
    **→ Signal:** Strong community, loyal users
  </Card>
</CardGroup>

**Combined Sentiment Formula:**

```python theme={null}
# Reddit weighted 70% (more authentic)
combined_sentiment = (twitter_sentiment × 0.3) + (reddit_sentiment × 0.7)

# Consistency check
consistency = 1 - abs(twitter_sentiment - reddit_sentiment)

# Final trust score
trust_score = combined_sentiment × consistency
```

**Trust Score Interpretation:**

* **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:

```
Analyze our competitor Acme Corp (acme.com)
Focus on pricing and positioning
```

### Deep Competitive Intelligence

For comprehensive analysis:

```
Do a deep competitive analysis of TechCo
I need to understand their:
- Leadership team and founders
- Product positioning
- Pricing strategy
- Technical capabilities
- Market threats they pose
```

### Pricing-Focused Analysis

When you need pricing intelligence:

```
Analyze competitor pricing for CloudService Inc
Compare their tiers, unit economics, and free tier limits
```

### Leadership Team Research

For founder and executive intelligence:

```
Research the founding team and C-level executives at StartupX
Analyze their backgrounds, thought leadership, and public presence
```

### Battle Card Creation

For sales team enablement:

```
Create a competitive battle card for CompanyY
Focus on feature comparison, pricing, and win/loss scenarios
```

### Deep Twitter Intelligence

For brand and community analysis:

```
Analyze Twitter presence for Firecrawl:
- What does the company post?
- What do founders share?
- What are users saying?
- What's the overall sentiment?
```

### Reddit Community Deep Dive

For authentic customer insights:

```
Do deep Reddit research on Browse.ai:
- Which subreddits mention them?
- What are top discussions about?
- What pain points do users report?
- How do they compare with competitors?
```

### Cross-Platform Sentiment Analysis

For authenticity assessment:

```
Compare Twitter vs Reddit sentiment for Apify
Are reviews consistent? Where's the truth?
```

### Customer Voice Analysis

For real user experiences:

```
Find real customer experiences with Firecrawl on Twitter and Reddit
What works? What doesn't? Why do people churn?
```

## Analysis Depths

The skill supports three levels of analysis depth:

<CardGroup cols={3}>
  <Card title="Quick Assessment" icon="bolt">
    **3-5 minutes**

    * Homepage & pricing scrape
    * LinkedIn company profile
    * Recent social posts (20 total)
    * Core sections only
    * Brief summary (1 page)
  </Card>

  <Card title="Deep Intelligence" icon="microscope">
    **5-10 minutes** (Default)

    * 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
  </Card>

  <Card title="Specialized Focus" icon="crosshairs">
    **3-7 minutes**

    * **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
  </Card>
</CardGroup>

## Key Features

### Multi-Phase Intelligence Gathering

The skill uses a systematic 6-phase approach:

<Steps>
  <Step title="Phase 1: Foundation">
    Web presence reconnaissance - homepage, pricing, about pages, core messaging
  </Step>

  <Step title="Phase 2: LinkedIn Intelligence">
    Company profile, team analysis, employee growth signals, content strategy
  </Step>

  <Step title="Phase 3: Deep Social & Community Research" icon="hashtag">
    Twitter Layer 1-4 (300+ tweets), Reddit Layer 1-5 (300-500 posts), cross-platform synthesis, advanced sentiment scoring
  </Step>

  <Step title="Phase 4: Leadership Intelligence">
    Founder/C-level profiles, career history, personal brand, thought leadership
  </Step>

  <Step title="Phase 5: Technical Discovery">
    Documentation quality, GitHub presence, API capabilities, integration ecosystem
  </Step>

  <Step title="Phase 6: Strategic Synthesis">
    SWOT analysis, competitive positioning, actionable insights, watch areas
  </Step>
</Steps>

### Comprehensive Data Sources

The skill gathers intelligence from multiple channels:

<AccordionGroup>
  <Accordion title="Web Scraping" icon="globe">
    * Homepage and product pages
    * Pricing and plans
    * Documentation and API reference
    * Integration marketplace
    * About and company pages
  </Accordion>

  <Accordion title="LinkedIn Data" icon="linkedin">
    * Company profile and metrics
    * Employee count and growth
    * Job postings and hiring signals
    * Leadership team identification
    * Content and posting strategy
    * Engagement patterns
  </Accordion>

  <Accordion title="Social Media" icon="hashtag">
    * Twitter presence and activity
    * Reddit mentions and sentiment
    * Community discussions
    * Customer complaints and praise
    * Feature requests
  </Accordion>

  <Accordion title="Leadership Intelligence" icon="user-tie">
    * Founder and C-level profiles
    * Career history and expertise
    * Personal posting activity
    * Thought leadership quality
    * Public credibility signals
    * Network influence
  </Accordion>

  <Accordion title="Technical Signals" icon="code">
    * GitHub organization and repos
    * Open source presence
    * Star and fork counts
    * Development velocity
    * API documentation quality
    * SDK availability
  </Accordion>

  <Accordion title="Alternative Data" icon="chart-line">
    * Glassdoor employee reviews
    * CEO approval ratings
    * Salary ranges
    * Interview difficulty
    * Work-life balance scores
  </Accordion>
</AccordionGroup>

### Strategic Analysis Framework

The skill synthesizes data into actionable insights:

<CardGroup cols={2}>
  <Card title="SWOT Analysis" icon="grid">
    * **Strengths**: What they do well
    * **Weaknesses**: Where they struggle
    * **Opportunities**: What you can exploit
    * **Threats**: What you need to watch
  </Card>

  <Card title="Positioning Assessment" icon="bullseye">
    * Market positioning
    * Value proposition analysis
    * Differentiation strategy
    * Target customer segments
  </Card>

  <Card title="Competitive Intelligence" icon="chess">
    * Pricing strategy
    * Feature comparison
    * GTM approach
    * Growth signals
  </Card>

  <Card title="Strategic Insights" icon="lightbulb">
    * Key takeaways (3-5 bullets)
    * Competitive threats (2-3 bullets)
    * Opportunities to exploit (3-5 bullets)
    * Watch areas for monitoring
  </Card>
</CardGroup>

## 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

**Tools Used:**

* `parse_webpage` - Web scraping for key pages
* `get_sitemap` - Site structure discovery

**Output:**

* 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

**Tools Used:**

* `search_linkedin_companies` - Find company profile
* `get_linkedin_company` - Detailed company data
* `get_linkedin_company_employees` - Team analysis
* `get_linkedin_company_posts` - Content strategy

**Output:**

* 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

**Tools Used:**

* `get_twitter_user` - Profile and metrics
* `get_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

**Output:**

* **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

**Tools Used:**

* `search_linkedin_users` - Leadership identification
* `get_linkedin_profile` - Detailed profiles
* `get_linkedin_user_posts` - Personal activity
* `get_linkedin_user_comments` - Engagement style
* `get_twitter_user` - Personal brand

**Output:**

* 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

**Tools Used:**

* `parse_webpage` - Documentation scraping
* `get_sitemap` - Integration discovery

**Output:**

* 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

**Output:**

* Comprehensive report
* Battle card (optional)
* Monitoring plan
* Strategic recommendations

## Output Format

The skill produces two formats:

### JSON Template

Structured data for programmatic processing:

```json theme={null}
{
  "company_overview": {
    "name": "Competitor Name",
    "website": "https://competitor.com",
    "description": "...",
    "headquarters": "San Francisco, CA",
    "employee_count": 150,
    "founded_year": 2020
  },
  "positioning": {
    "positioning_statement": "...",
    "value_proposition": "...",
    "target_market": "...",
    "core_features": ["feature1", "feature2"]
  },
  "pricing": {
    "model": "Subscription",
    "tiers": [...],
    "entry_price": 49,
    "unit_economics": "..."
  },
  "swot_analysis": {
    "strengths": [...],
    "weaknesses": [...],
    "opportunities": [...],
    "threats": [...]
  },
  "strategic_insights": {
    "key_takeaways": [...],
    "competitive_threats": [...],
    "opportunities_to_exploit": [...],
    "watch_areas": [...]
  }
}
```

### Markdown Report

Human-readable comprehensive analysis:

```markdown theme={null}
# Competitive Intelligence Report: Competitor Name

**Analysis Date:** November 18, 2025
**Analysis Depth:** Deep Intelligence
**Analyst:** Claude with Competitor Analyzer Skill

## Executive Summary

[3-5 paragraph overview of key findings]

## Company Overview

- **Headquarters:** Location
- **Team Size:** Employee count
- **Funding:** Round and amount
- **Founded:** Year

## Positioning & Market Approach

### Value Proposition
[Their core pitch and positioning]

### Target Market
[Who they sell to and why]

### Key Features
1. Feature 1
2. Feature 2
3. Feature 3

## Pricing Analysis

[Detailed pricing breakdown with tier comparison]

## Leadership Team

### Founders
[Founder profiles with backgrounds]

### C-Level Executives
[Executive team analysis]

## SWOT Analysis

### Strengths (What They Do Well)
- Strength 1
- Strength 2

### Weaknesses (Where They Struggle)
- Weakness 1
- Weakness 2

### Opportunities (What We Can Exploit)
- Opportunity 1
- Opportunity 2

### Threats (What We Need to Watch)
- Threat 1
- Threat 2

## Strategic Insights

### Key Takeaways
1. Takeaway 1
2. Takeaway 2
3. Takeaway 3

### Competitive Threats
1. Threat 1
2. Threat 2

### Opportunities to Exploit
1. Opportunity 1
2. Opportunity 2
3. Opportunity 3

### Watch Areas
- Area 1 to monitor quarterly
- Area 2 to monitor quarterly
```

## Common Use Cases

<CardGroup cols={2}>
  <Card title="Market Entry" icon="door-open">
    Analyze 3-5 competitors before entering a market segment
  </Card>

  <Card title="Product Strategy" icon="map">
    Identify feature gaps and differentiation opportunities
  </Card>

  <Card title="Pricing Strategy" icon="dollar-sign">
    Benchmark pricing and understand competitive positioning
  </Card>

  <Card title="Sales Enablement" icon="handshake">
    Create battle cards for sales team competitive wins
  </Card>

  <Card title="M&A Due Diligence" icon="magnifying-glass-chart">
    Assess acquisition targets and strategic fit
  </Card>

  <Card title="Partnership Evaluation" icon="link">
    Evaluate potential partners and collaboration opportunities
  </Card>

  <Card title="Quarterly Monitoring" icon="calendar-check">
    Track competitor changes and strategic shifts
  </Card>

  <Card title="Fundraising Prep" icon="chart-line-up">
    Understand competitive landscape for investor conversations
  </Card>
</CardGroup>

## Behind the Scenes

The skill uses these Anysite MCP tools:

<Tabs>
  <Tab title="Web Intelligence">
    **Tools:**

    * `parse_webpage` - Web page scraping
    * `get_sitemap` - Site structure discovery

    **Usage:**

    * Homepage and product pages
    * Pricing and documentation
    * Integration marketplaces
  </Tab>

  <Tab title="LinkedIn Tools">
    **Tools:**

    * `search_linkedin_companies` - Company discovery
    * `get_linkedin_company` - Company profiles
    * `get_linkedin_company_employees` - Team analysis
    * `get_linkedin_company_posts` - Content strategy
    * `search_linkedin_users` - People search
    * `get_linkedin_profile` - Detailed profiles
    * `get_linkedin_user_posts` - Personal activity
    * `get_linkedin_user_comments` - Engagement analysis
    * `get_linkedin_user_reactions` - Interest patterns

    **Usage:**

    * Company intelligence
    * Team size and growth
    * Leadership identification
    * Content analysis
  </Tab>

  <Tab title="Social Media">
    **Tools:**

    * `get_twitter_user` - Profile data
    * `get_twitter_user_posts` - Activity tracking (100 posts)
    * `search_twitter_posts` - Multi-layer mention monitoring (300+ tweets)
    * `search_reddit_posts` - Multi-subreddit intelligence (300-500 posts)
    * `get_reddit_post_comments` - Deep thread analysis

    **Usage:**

    * Twitter Layer 1-4 analysis
    * Reddit Layer 1-5 research
    * Cross-platform sentiment scoring
    * Community health metrics
    * Customer voice extraction
    * Churn signal detection
  </Tab>

  <Tab title="Search & Discovery">
    **Tools:**

    * `duckduckgo_search` - Web search

    **Usage:**

    * News and announcements
    * Third-party reviews
    * Media coverage
  </Tab>
</Tabs>

## Tips for Best Results

<Tip>
  **Start with clear objectives**

  Define what you need to know before starting:

  * Pricing comparison?
  * Feature gaps?
  * Leadership assessment?
  * Market positioning?
</Tip>

<Tip>
  **Follow the phase order**

  The 6-phase framework is designed to build context progressively. Don't skip phases - later insights depend on earlier data.
</Tip>

<Tip>
  **Verify across multiple sources**

  Don't rely on a single data point:

  * Cross-reference website claims with social media
  * Validate pricing with customer reviews
  * Check leadership claims against LinkedIn profiles
</Tip>

<Tip>
  **Focus on recent data**

  Competitive landscapes change fast:

  * Prioritize data from last 3-6 months
  * Note staleness of older information
  * Plan quarterly updates for key competitors
</Tip>

<Tip>
  **Think strategically, not just descriptively**

  Don't just report what you find:

  * Analyze WHY they made certain choices
  * Consider their constraints (funding, team size)
  * Identify patterns and strategic shifts
  * Translate findings into action items
</Tip>

<Tip>
  **Document confidence levels**

  Be clear about what you know vs. estimate:

  * "Verified" - From official sources
  * "Estimated" - Based on signals and inference
  * "Unclear" - Insufficient data
</Tip>

## Advanced Techniques

### Multi-Competitor Analysis

For analyzing 3-5 competitors simultaneously:

1. Run analysis workflow for each competitor
2. Create comparison matrix
3. Build feature comparison table
4. Map pricing across competitors
5. Identify market positioning clusters

**Output:** Competitive landscape matrix with clear differentiation

### 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

**Update only changed sections** in existing reports.

### Battle Card Creation

For sales team enablement:

**Key Elements:**

1. Quick facts (1-2 sentences)
2. Feature comparison (table)
3. Pricing comparison (clear numbers)
4. 3 reasons we win
5. 3 reasons we might lose
6. Talk tracks

**Keep to 1-2 pages maximum** for quick reference.

### Leadership-Focused Deep Dive

For partnership or M\&A scenarios:

1. Identify all founders and C-level
2. Deep dive into each profile (50+ posts)
3. Track personal brand evolution
4. Map network and influence
5. Assess credibility and expertise
6. Evaluate cultural fit signals

### Social Intelligence Playbook

Advanced techniques for ongoing social monitoring:

<Tabs>
  <Tab title="Weekly Monitoring">
    **Quick pulse check (3-5 minutes):**

    1. Twitter mentions from last 7 days
    2. Reddit top discussions
    3. Sentiment trending up or down?
    4. New complaints emerged?
    5. Viral content patterns

    **Tools:** Quick searches with date filters
  </Tab>

  <Tab title="Monthly Deep Dive">
    **Comprehensive review (10-15 minutes):**

    1. Full Twitter Layer 1-4 analysis
    2. Reddit Layer 1-5 comprehensive scan
    3. Cross-platform synthesis
    4. Community health trends
    5. Competitive positioning shifts
    6. Update sentiment scores

    **Output:** Trend report with month-over-month changes
  </Tab>

  <Tab title="Quarterly Battle Card Update">
    **Strategic refresh (15-20 minutes):**

    1. Complete Phase 3 refresh (all layers)
    2. Update sentiment scores and patterns
    3. New pain points identification
    4. Competitive comparison refresh
    5. Strategic recommendations update
    6. Customer voice evolution tracking

    **Output:** Updated battle card with latest intelligence
  </Tab>
</Tabs>

### Advanced Social Insights

What you'll discover from deep social research:

<CardGroup cols={2}>
  <Card title="From Twitter" icon="twitter">
    * Founder credibility and thought leadership
    * Real-time customer support quality
    * Feature request velocity
    * Churn warning signals
    * Power user identification
    * Viral content patterns
  </Card>

  <Card title="From Reddit" icon="reddit">
    * Unfiltered technical problems
    * Pricing sensitivity insights
    * Competitive win/loss factors
    * Implementation challenges
    * Workaround patterns (missing features)
    * Community-driven solutions
  </Card>

  <Card title="From Cross-Platform Analysis" icon="chart-network">
    * Marketing vs reality gap
    * Organic vs paid growth signals
    * Support theater detection
    * True product-market fit assessment
    * Community health trajectory
    * Trust score calculation
  </Card>

  <Card title="Strategic Signals" icon="bullseye">
    * Churn patterns and reasons
    * Feature gap opportunities
    * Pricing pressure points
    * Customer success factors
    * Community advocate identification
    * Competitive vulnerability spots
  </Card>
</CardGroup>

## Example Output Preview

```markdown theme={null}
# Competitive Intelligence Report: TechStartup Inc.

**Analysis Date:** November 18, 2025
**Analysis Depth:** Deep Intelligence

## Executive Summary

TechStartup Inc. is a Series B SaaS company ($25M raised) targeting mid-market
companies with an API-first development platform. They've grown from 50 to 150
employees in the past year, indicating strong traction. Their pricing is
aggressive (20% below market average), suggesting a land-grab strategy. The
founding team has strong technical credibility (ex-Google, ex-Stripe) but
limited enterprise sales experience, which may constrain upmarket expansion.

## Key Findings

### Strengths
- **Developer Experience**: Excellent API documentation, 7K GitHub stars
- **Pricing Advantage**: 20% below market with generous free tier
- **Technical Team**: Strong engineering pedigree, fast feature velocity

### Weaknesses
- **Enterprise Features**: Limited SSO, RBAC, audit logs
- **Sales Capacity**: Small sales team (5 people) for enterprise push
- **Documentation Gaps**: Missing advanced use cases, limited video content

### Opportunities to Exploit
- **Enterprise Focus**: We can win upmarket with better security/compliance
- **Customer Support**: Their response time is 24-48hrs vs our 2-4hrs
- **Integration Ecosystem**: We have 3x more pre-built integrations

### Competitive Threats
- **Growth Velocity**: Adding 10 engineers/month, feature parity coming fast
- **Brand Momentum**: Strong developer community, high social engagement
- **Recent Funding**: $25M runway enables aggressive pricing and hiring

## Strategic Recommendations

1. **Accelerate enterprise feature development** - They're 12-18 months behind
2. **Double down on customer support** - Clear differentiation opportunity
3. **Build developer community** - Match their GitHub/Twitter presence
4. **Monitor their Series C** - Next funding round will fuel upmarket push

## Watch Areas (Quarterly Review)

- Employee count growth (tracking at 10/month currently)
- GitHub star growth (2K stars in last quarter)
- Pricing changes (they're currently underpriced)
- Leadership hires (need enterprise sales VP)
```

## Troubleshooting

<AccordionGroup>
  <Accordion title="Can't find company on LinkedIn">
    **Solutions:**

    * 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
  </Accordion>

  <Accordion title="Pricing page missing or unclear">
    **Solutions:**

    * 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)
  </Accordion>

  <Accordion title="No social media presence">
    **Solutions:**

    * Document the absence (itself a signal about strategy)
    * Check founder personal accounts instead
    * Look for employee posting activity
    * Review company blog as alternative channel
    * Consider it a differentiation opportunity
  </Accordion>

  <Accordion title="Too much data, feeling overwhelmed">
    **Solutions:**

    * 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
  </Accordion>

  <Accordion title="Leadership profiles are private or limited">
    **Solutions:**

    * 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
  </Accordion>

  <Accordion title="Conflicting data across sources">
    **Solutions:**

    * 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"
  </Accordion>
</AccordionGroup>

## Quality Standards

**Good competitive analysis includes:**

<Check>
  ✅ Clear positioning statement with quotes
  ✅ Quantified metrics (prices, team size, followers)
  ✅ Specific examples from actual data
  ✅ Strategic implications explained
  ✅ Data sources and dates noted
  ✅ Confidence levels indicated
  ✅ Actionable recommendations
</Check>

**Avoid:**

<Warning>
  ❌ Vague assessments ("they seem good at marketing")
  ❌ Unsupported claims ("probably losing money")
  ❌ Missing pricing details
  ❌ Outdated data without timestamps
  ❌ Pure feature lists without analysis
  ❌ Personal opinions vs data-driven insights
</Warning>

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***

**Last Updated:** November 18, 2025
**Maintained by:** Anysite.io