AI/ML

AI Competitor Intelligence & Battlecard Generator

An automated competitor analysis system using SpyFu API, GPT, and Claude to generate structured PDF battlecards and dashboards for marketing teams.

Client: Digital Marketing Agency (Confidential)

01 Overview

Marketing and sales teams at growth-stage companies spend dozens of hours per month manually researching competitors - pulling ad data, analyzing messaging, and assembling battlecards for the sales team. This client needed the entire workflow automated: input a competitor domain, receive a structured competitive intelligence report within minutes.

We built an end-to-end pipeline that queries the SpyFu API for ad intelligence, uses LLMs to analyze messaging patterns, and generates polished PDF battlecards and interactive dashboards automatically.

02 The Challenge

• SpyFu API returns raw ad data - extracting strategic messaging signals and positioning patterns requires LLM-based interpretation, not simple parsing
• Battlecards need a consistent, opinionated format that sales reps can scan quickly - requiring careful prompt engineering and output structuring
• Some competitor analysis requires multi-source fusion: SpyFu ad data, LinkedIn job postings, and public pricing pages provide different intelligence signals
• PDF generation needed to handle variable-length content elegantly without layout breaks
• The client wanted a self-service dashboard, not just a file download

03 Our Solution

• **Multi-source intelligence pipeline**: SpyFu API provides ad history, keywords, and estimated ad spend. A scraping layer pulls public pricing and feature pages. LinkedIn API (where authorized) surfaces hiring signals. All sources feed a unified context builder.
• **LLM battlecard generation**: GPT analyzes messaging themes, unique selling propositions, and apparent target audiences. Claude handles objection handling suggestions and head-to-head positioning. Outputs are structured JSON before rendering to ensure consistent format.
• **ReportLab PDF generation**: Template-based PDF generation with dynamic sections, charts, and consistent branding - handles variable-length content without layout issues
• **Interactive dashboard**: FastAPI backend serves a React dashboard where users can request new battlecards, view historical reports, and export in multiple formats
• **LangChain orchestration**: The full multi-source retrieval + analysis pipeline orchestrated as a LangChain chain with retry logic and partial result caching

04 Results & Impact

Battlecard generation time reduced from 6–8 hours of manual work to under 8 minutes
Sales team reported 40% improvement in competitive conversation preparedness
System monitors 50+ competitors continuously, triggering alerts on significant changes
Marketing team produces 3x more competitive content without additional headcount
Dashboard adopted as the single source of truth for competitive intelligence

Project Details

Category
AI/ML
Client
Digital Marketing Agency (Confidential)

Technologies Used

LangChain GPT Claude API SpyFu API FastAPI React Python ReportLab Redis PostgreSQL Docker

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