home / skills / a5c-ai / babysitter / competitive-landscape-analyzer

This skill helps you map and analyze competitive landscapes by tracking funding, product positioning, and market share to inform strategic decisions.

npx playbooks add skill a5c-ai/babysitter --skill competitive-landscape-analyzer

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: competitive-landscape-analyzer
description: Automated competitive mapping with funding history, product positioning, market share
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: venture-capital
  domain: business
  skill-id: vc-skill-008
---

# Competitive Landscape Analyzer

## Overview

The Competitive Landscape Analyzer skill provides comprehensive mapping and analysis of competitive dynamics within a market. It tracks competitor funding, product positioning, market share, and strategic movements to inform investment decisions.

## Capabilities

### Competitor Identification
- Identify direct and indirect competitors
- Map emerging and potential future competitors
- Track new market entrants and pivots
- Monitor acqui-hire and consolidation activity

### Funding History Analysis
- Track competitor funding rounds and valuations
- Analyze investor syndicate composition
- Identify funding gaps and runway situations
- Monitor secondary and insider transactions

### Product Positioning Mapping
- Feature-by-feature competitive comparison
- Pricing and packaging analysis
- Target customer segment mapping
- Technology and platform differentiation

### Market Share Analysis
- Estimate market share distribution
- Track share changes over time
- Identify market concentration trends
- Analyze customer win/loss patterns

## Usage

### Map Competitive Landscape
```
Input: Target company or market definition
Process: Identify competitors, gather data, analyze positioning
Output: Competitive landscape map, positioning matrix
```

### Analyze Specific Competitor
```
Input: Competitor company
Process: Deep dive on funding, product, strategy
Output: Competitor profile, threat assessment
```

### Track Competitive Dynamics
```
Input: Market, monitoring parameters
Process: Ongoing monitoring, change detection
Output: Competitive intelligence alerts, trend reports
```

### Assess Competitive Position
```
Input: Target company, competitive context
Process: Position against competitors, identify advantages
Output: Competitive position assessment, moat analysis
```

## Analysis Frameworks

| Framework | Use Case | Output |
|-----------|----------|--------|
| Porter's Five Forces | Industry analysis | Competitive intensity assessment |
| Positioning Map | Product comparison | 2x2 positioning visualization |
| Moat Analysis | Defensibility | Competitive advantage scoring |
| War Gaming | Strategic planning | Competitive response scenarios |

## Integration Points

- **Commercial Due Diligence**: Feed competitive analysis into DD
- **Market Sizer**: Understand market share distribution
- **Deal Scoring Engine**: Competitive position in scoring
- **IC Memo Generator**: Include competitive analysis

## Data Sources

- PitchBook and Crunchbase for funding data
- G2, Capterra for product reviews and comparisons
- LinkedIn for team and hiring signals
- Web traffic data (SimilarWeb, etc.)
- Patent filings and IP databases
- Customer interviews and win/loss data

## Best Practices

1. Define competitive scope clearly (direct, indirect, substitutes)
2. Update competitive maps regularly as markets evolve
3. Distinguish between current and future competitive threats
4. Consider non-traditional competitors and disruption risks
5. Validate desk research with customer conversations

Overview

This skill performs automated competitive mapping and intelligence to inform product, investment, and strategy decisions. It consolidates funding histories, product positioning, market share estimates, and trend signals into actionable artifacts. Use it to continuously monitor rivals, detect pivots, and quantify competitive threats.

How this skill works

The analyzer ingests a market definition or target company, then identifies direct and indirect competitors using public data and signals. It extracts funding events, investor composition, product features, pricing and customer segments, and traffic/hiring indicators to build competitor profiles. Outputs include positioning matrices, market share estimates, trend alerts, and threat assessments ready for integration with due diligence or strategy workflows.

When to use it

  • Preparing commercial due diligence for an investment or acquisition
  • Designing product strategy or positioning against competitors
  • Monitoring market entrants and consolidation activity over time
  • Assessing a target company’s defensibility and moat
  • Feeding competitive signals into scoring, IC memos, or strategic planning

Best practices

  • Define scope up front: direct, indirect, substitutes and potential disruptors
  • Combine desk data (funding, traffic, reviews) with primary validation like customer interviews
  • Refresh maps and share estimates regularly to capture pivots and new entrants
  • Annotate confidence levels for funding and market-share estimates and surface data sources
  • Use multiple frameworks (Porter’s Five Forces, positioning map, moat scoring) for balanced assessments

Example use cases

  • Map the competitive landscape for a SaaS submarket and produce a 2x2 positioning matrix
  • Deep-dive a specific competitor’s funding history, runway risks, and investor syndicate
  • Set up ongoing monitoring for hiring spikes, M&A signals, and traffic shifts with alerting
  • Generate a competitive position assessment and moat score for inclusion in an IC memo
  • Estimate market share distribution and track shifts to identify emerging leaders

FAQ

What data sources does the skill use?

It synthesizes public funding databases, product review platforms, web-traffic and hiring signals, patent/IP records, and customer win/loss inputs for triangulation.

How accurate are market share estimates?

Estimates are derived from multiple signals and are presented with confidence levels; they are best used for directional insight and trend detection rather than exact figures.