Gone are the days of spending weeks building competitive battle cards that are outdated before they're even finished. With Large Language Models (LLMs), you can create, maintain, and customize competitive intelligence in minutes, not months. Here's your comprehensive guide to building better battle cards with AI.
The Modern Battle Card Framework
Phase 1: Comprehensive Data Gathering
10-K Analysis Prompt
Analyze this 10-K report for [COMPETITOR] and extract:
1. Core business strategies
2. Revenue streams and growth rates
3. Technology investments
4. Risk factors and challenges
5. Market positioning
6. Key partnerships and integrations
Format: Provide specific page references and direct quotes for each insight.Earnings Call Analysis
Review these earnings call transcripts and identify:
1. Strategic initiatives mentioned
2. Product roadmap hints
3. Market challenges discussed
4. Customer wins/losses
5. Competitive positioning statements
6. Forward-looking statements
Include timestamp references for each insight.Phase 2: Digital Footprint Analysis
Product Marketing Intelligence
Analyze [COMPETITOR]'s website, blog posts, and marketing materials from the past 3 months to identify:
1. Key messaging themes
2. Primary value propositions
3. Target customer profiles
4. Feature announcements
5. Case studies and success metrics
6. Pricing strategy changes
