Competitive Intel

Competitive Intelligence

Systematic competitor tracking. Not obsession -- intelligence that drives real decisions. Know competitors well enough to win against them. Do not let them set your agenda.

Keywords

competitive intelligence, competitor analysis, battlecard, win/loss analysis, competitive positioning, competitive tracking, market intelligence, competitor research, SWOT, competitive map, feature gap analysis, competitive strategy, market share, competitive advantage, moat, switching costs

Clarify First

Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Which output is needed (battlecard, positioning map, win/loss analysis, or board summary) — each has a different template and data requirement
• Which competitors and their tier (direct, adjacent, future) — sets tracking intensity and which competitors appear in the artifact
• Your ICP and the problem you solve — drives the threat-classification matrix and what counts as a real competitor vs. noise
• Your actual differentiators with proof points — the "why we win" and "killer questions" sections are worthless without concrete, evidence-backed advantages

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

5-Layer Intelligence System

Layer 1: Competitor Identification

Threat Classification Matrix

Competitor Tiers

Layer 2: Tracking Dimensions

Layer 3: Analysis Frameworks

SWOT Per Competitor

Feature Gap Analysis Template

Competitive Positioning Map

Choose 2 axes that show YOUR differentiation:

Layer 4: Output Formats

Battlecard Template (Sales Use)

BATTLECARD: [Competitor Name]
Last Updated: [Date]

OVERVIEW
  Company: [name, founded, HQ, funding, size]
  Product: [1-sentence description]
  ICP overlap: [High/Medium/Low]
  Threat level: [High/Medium/Low]

WHY WE WIN
  1. [Advantage 1 with proof point]
  2. [Advantage 2 with proof point]
  3. [Advantage 3 with proof point]

WHERE THEY WIN
  1. [Their advantage -- be honest]
  2. [Their advantage]

LANDMINES (what they say about us)
  - "[Their claim]" --> Counter: "[Your response with evidence]"
  - "[Their claim]" --> Counter: "[Your response with evidence]"

KILLER QUESTIONS (ask the prospect)
  1. "[Question that exposes competitor weakness]"
  2. "[Question that highlights your strength]"
  3. "[Question that validates your differentiation]"

RECENT MOVES
  - [Date]: [What they did, what it means]

CUSTOMER REFERENCES (ask for these)
  - [Customer name, use case, result]

Board Competitive Summary (Monthly)

COMPETITIVE INTELLIGENCE SUMMARY -- [Month]

MARKET MOVEMENTS
  [Competitor A]: [What happened, significance]
  [Competitor B]: [What happened, significance]

WIN/LOSS SNAPSHOT
  Win rate vs [Comp A]: [X]% (trend: [up/down/stable])
  Win rate vs [Comp B]: [X]% (trend: [up/down/stable])
  Top win reason: [reason]
  Top loss reason: [reason]

RECOMMENDED RESPONSE
  [1 specific action with owner and timeline]

RISK WATCH
  [Specific risk with probability and impact]

Layer 5: Intelligence Cadence

Win/Loss Analysis

When to Conduct

Interview Protocol

Aggregate Analysis

The Balance: Intelligence vs. Obsession

Over-Tracking Signals

Under-Tracking Signals

The Right Posture

• Know competitors well enough to win against them
• Do not let them set your agenda
• Roadmap is led by customer problems, informed by competitive gaps
• Pricing is anchored to your value, not their price

Intelligence Distribution

One source of truth: All competitive intel in one place (Notion, Confluence, etc.). Slack-only distribution disappears.

Red Flags

Integration with C-Suite

Output Artifacts

Tool Reference

1. market_landscape_mapper.py

Maps the competitive landscape across configurable dimensions, classifying competitors by tier, plotting market positioning, and identifying whitespace opportunities.

python scripts/market_landscape_mapper.py --input competitors.json --json
python scripts/market_landscape_mapper.py --input competitors.json

2. competitor_tracker.py

Tracks competitor movements over time across 8 dimensions (product, pricing, funding, hiring, partnerships, customers, messaging, market share). Detects significant changes and generates alerts.

python scripts/competitor_tracker.py --input tracking_data.json --json
python scripts/competitor_tracker.py --input tracking_data.json

3. swot_analyzer.py

Performs structured SWOT analysis with weighted scoring, cross-impact assessment (SO/WO/ST/WT strategies), and strategic priority recommendations.

python scripts/swot_analyzer.py --input swot_data.json --json
python scripts/swot_analyzer.py --input swot_data.json

Troubleshooting

Success Criteria

• Battlecards updated within 48 hours of significant Tier 1 competitor moves
• Win rate against top 3 competitors stable or improving quarter-over-quarter
• Win/loss interviews conducted for 90%+ of lost deals above $50K ACV
• Sales team can articulate top 3 differentiators vs each Tier 1 competitor without reference material
• Competitive intelligence influences at least 2 roadmap decisions per quarter
• Time from competitor event to internal awareness is under 72 hours
• Positioning refreshed at least once per year based on landscape analysis

Scope & Limitations

In scope: Competitor identification and tier classification, 8-dimension tracking across product/pricing/funding/hiring/partnerships/customers/messaging/market share, SWOT analysis per competitor, feature gap analysis, battlecard creation and distribution, win/loss analysis, competitive positioning maps, board-level competitive summaries, and market landscape mapping via Python tools.

Out of scope: Real-time competitor monitoring (tools analyze point-in-time data exports), pricing intelligence from competitor internal data, customer-level deal coaching (tools flag patterns but do not prescribe sales tactics), market research surveys or primary research, and competitor financial modeling beyond publicly available data.

Limitations: SWOT and landscape analysis depend on the quality and recency of input data. Competitive intelligence older than 6 months should be treated as directional only. Win/loss analysis requires a minimum of 10 interviews per quarter for statistical significance. Market positioning maps are subjective and should be validated with customer perception data.

Integration Points

• cro-advisor -- Battlecards feed directly into sales enablement; win/loss data informs pipeline strategy and quota setting
• cpo-advisor -- Feature gap analysis influences product roadmap prioritization and portfolio investment decisions
• cmo-advisor -- Competitive positioning informs messaging, content strategy, and campaign differentiation
• ceo-advisor -- Board-level competitive summaries inform strategic direction and M&A evaluation
• board-deck-builder -- Monthly competitive landscape slides feed into quarterly board presentations
• sales-success/ -- Battlecards and killer questions enable sales team competitive selling