afrexai-competitive-intel
Complete competitive intelligence system — market mapping, product teardowns, pricing intel, win/loss analysis, battlecards, and strategic monitoring. Goes far beyond SEO to cover the full business landscape.
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curl -fsSL https://skills.taituai.com/api/skills/github%3ALeoYeAI~openclaw-master-skills~afrexai-competitive-intel/file -o afrexai-competitive-intel.md# Competitive Intelligence Engine
A complete system for understanding, tracking, and outmaneuvering competitors. Covers market mapping, product analysis, pricing intelligence, sales battlecards, win/loss analysis, and ongoing monitoring.
## When to Use
- Entering a new market or launching a product
- Losing deals to competitors and need to understand why
- Quarterly strategy reviews
- Pricing decisions (new product or adjustment)
- Sales team needs competitive talking points
- M&A due diligence on a target or acquirer
- Investor pitch prep (show you understand the landscape)
- Content strategy informed by competitor gaps
---
## Phase 1: Market Mapping
### 1.1 Competitor Identification
Classify every competitor into one of four tiers:
| Tier | Definition | Example | Monitoring Frequency |
|------|-----------|---------|---------------------|
| **Direct** | Same product, same buyer | Your closest rivals | Weekly |
| **Adjacent** | Different product, overlapping buyer | Platform expanding into your space | Bi-weekly |
| **Indirect** | Different solution to same problem | Spreadsheets replacing your SaaS | Monthly |
| **Emerging** | Early-stage, same vision | YC startups in your category | Monthly |
### Discovery Methods
Search these sources systematically:
1. **Google**: "[your category] software/tool/service" — note top 10 organic + ads
2. **G2/Capterra/TrustRadius**: Your category page — note top 10 by reviews
3. **Product Hunt**: Search your keywords — sort by votes
4. **Crunchbase**: Search your category — filter funded companies
5. **LinkedIn**: "[competitor name]" company pages — note employee count trends
6. **Reddit/HN**: "alternative to [leader]" or "[category] recommendations"
7. **Customer interviews**: "Who else did you evaluate?"
8. **Lost deal notes**: Who did you lose to and why?
### Market Map YAML
```yaml
market_map:
category: "[Your Category]"
date: "YYYY-MM-DD"
total_addressable_market: "$XB"
competitors:
- name: "Competitor A"
tier: "direct"
website: "https://..."
founded: 2019
funding: "$50M Series B"
estimated_revenue: "$10-20M ARR"
employee_count: 150
employee_trend: "growing" # growing | stable | shrinking
hq: "San Francisco, CA"
key_customers: ["Customer 1", "Customer 2"]
primary_market: "mid-market" # smb | mid-market | enterprise
positioning: "All-in-one platform for X"
strengths: ["Feature A", "Strong brand"]
weaknesses: ["Expensive", "Slow support"]
threat_level: "high" # low | medium | high | critical
notes: ""
```
---
## Phase 2: Product Teardown
### 2.1 Feature Matrix
For each direct competitor, build a feature comparison:
```yaml
feature_matrix:
last_updated: "YYYY-MM-DD"
categories:
- name: "Core Features"
features:
- name: "Feature X"
us: "full" # none | partial | full | superior
competitor_a: "full"
competitor_b: "partial"
weight: 5 # 1-5 importance to buyer
notes: "We have deeper customization"
- name: "Feature Y"
us: "none"
competitor_a: "full"
competitor_b: "full"
weight: 3
notes: "On our roadmap for Q3"
- name: "Integrations"
features:
- name: "Salesforce"
us: "full"
competitor_a: "partial"
weight: 4
```
### 2.2 Product Teardown Template
For each major competitor, conduct a structured teardown:
```markdown
## [Competitor Name] Product Teardown
**Date:** YYYY-MM-DD
**Analyst:** [name]
### First Impressions (0-5 min)
- Homepage messaging: What problem do they lead with?
- Sign-up friction: How many steps? What info required?
- Time to value: How fast can you DO something?
- Design quality: Modern, dated, cluttered, clean?
### Onboarding (5-30 min)
- Guided tour? Checklist? Video? Nothing?
- Sample data provided? Sandbox mode?
- How quickly did you feel competent?
- What confused you?
### Core Workflow
- Complete their primary use case end-to-end
- Note: steps required, clicks per task, speed, error handling
- Screenshot key screens
### Differentiators
- What can they do that we can't? (be honest)
- What's their "magic moment"?
- What do their happiest customers praise? (check G2 reviews)
### Weaknesses
- Where did you get stuck?
- What felt missing or half-baked?
- What do their angriest customers complain about? (check G2 1-2 star reviews)
### Pricing vs Value
- What plan would a typical customer need?
- Price per user/month at that tier?
- Any hidden costs (implementation, support, integrations)?
- Free trial? Freemium? Money-back guarantee?
### Technical Assessment
- Stack: (check Wappalyzer, BuiltWith, job postings)
- API: Public? REST/GraphQL? Rate limits? Docs quality?
- Mobile: Native app? Responsive web? PWA?
- Performance: Page load speed, UI responsiveness
- Uptime: Status page? Historical incidents?
```
### 2.3 UX Scoring Rubric
Score each competitor's product (0-10 per dimension):
| Dimension | What to Evaluate | Weight |
|-----------|-----------------|--------|
| **Ease of Setup** | Time to first value, onboarding friction | 15% |
| **Core UX** | Primary workflow efficiency, intuitiveness | 25% |
| **Feature Depth** | Covers edge cases, power user needs | 20% |
| **Reliability** | Uptime, bugs encountered, error handling | 15% |
| **Integrations** | Ecosystem breadth, API quality | 10% |
| **Support** | Response time, quality, self-serve resources | 10% |
| **Mobile** | Native quality, feature parity | 5% |
**Total = weighted sum. Compare across competitors.**
---
## Phase 3: Pricing Intelligence
### 3.1 Pricing Comparison Table
```yaml
pricing_intel:
date: "YYYY-MM-DD"
competitors:
- name: "Us"
model: "per-seat" # per-seat | usage | flat | hybrid | freemium
entry_price: "$29/user/mo"
mid_price: "$79/user/mo"
enterprise_price: "Custom"
free_tier: true
free_limits: "5 users, 1000 records"
annual_discount: "20%"
contract_required: false
implementation_fee: "$0"
hidden_costs: []
- name: "Competitor A"
model: "per-seat"
entry_price: "$49/user/mo"
mid_price: "$99/user/mo"
enterprise_price: "Custom ($150+/user)"
free_tier: false
annual_discount: "15%"
contract_required: true # annual minimum
implementation_fee: "$5,000"
hidden_costs: ["API access on enterprise only", "SSO $50/user extra"]
```
### 3.2 Price Positioning Analysis
Answer these questions:
1. **Where do we sit?** Map all competitors on a 2x2: Price (low→high) vs Feature depth (basic→advanced)
2. **Who's cheapest?** At 10 users? 50 users? 200 users? (pricing often crosses over at scale)
3. **Total Cost of Ownership**: Include implementation, training, migration, hidden fees
4. **Value ratio**: Features-per-dollar compared to each competitor
5. **Pricing trend**: Are competitors raising prices? (check Wayback Machine on /pricing)
6. **Discount behavior**: Do they discount aggressively in deals? (ask sales team, check G2 reviews mentioning price)
### 3.3 Pricing Strategy Recommendations
Based on analysis, recommend one of:
| Strategy | When to Use | Risk |
|----------|------------|------|
| **Premium** | Clearly superior product + brand | Losing price-sensitive deals |
| **Parity** | Similar product, compete on other axes | Race to bottom |
| **Penetration** | New entrant, need market share fast | Perception of low quality |
| **Value** | Better product at lower price | Margin pressure if costs rise |
| **Niche** | Specialized for segment competitors ignore | Small TAM |
---
## Phase 4: Sales Battlecards
### 4.1 Battlecard Template
Create one per direct competitor:
```markdown
# 🏆 Battlecard: Us vs [Competitor]
**Last Updated:** YYYY-MM-DD | **Confidence:** High/Medium/Low
## Quick Stats
| Metric | Us | Them |
|--------|-----|------|
| Founded | | |
| Fun