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By Dean Adrian Divković
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Automating Competitive Intelligence
📌 Leverage AI-driven competitive intelligence to monitor market shifts, pricing changes, and competitor content without manual effort.
🤖 Use Claude Code to create "Skills"—specialized SOPs that automate data collection and analysis tasks via an IDE or console.
📊 Output data directly into CSV/Google Sheets to maintain a structured, searchable library of competitor activity, including ad formats, blog updates, and PR mentions.
Data Collection & Integration
🌐 Utilize the Perplexity API to pull real-time internet data, such as recent blog posts, awards, and web presence updates.
🔍 Integrate Apify to scrape structured data from platforms like the Facebook Ad Library, allowing you to analyze competitor hooks, CTAs, and creative performance (video/image/text).
⚙️ Manage your workflow by securing API keys in environment variables (`.env`) to ensure sensitive credentials remain protected while enabling seamless connectivity between tools.
Advanced Analysis & Deployment
🧠 Enhance insights by feeding collected ad copies and transcripts into Claude (or other advanced LLMs) to perform deep qualitative analysis on messaging angles and creative strategies.
🚀 Deploy automated scripts on Modal to run your intelligence pipeline on a Cron schedule (e.g., every morning at 8:00 AM), ensuring the data remains fresh with minimal operational costs.
📈 Filter competitive noise by focusing on high-impact metrics such as ad longevity, engagement rates, and positioning shifts to identify what is truly working in your market.
Key Points & Insights
➡️ Prioritize Quality Sources: When using platforms like Apify, choose "actors" with the highest number of reviews and best ratings to ensure data reliability.
➡️ Optimize Costs: For Perplexity, budget approximately $0.10 per search; for Modal, costs are granular, typically fractions of a cent per execution, making this a highly scalable solution.
➡️ Iterate on Structure: Don't settle for raw data dumps; continuously refine your prompts to request specific, actionable table structures in your CSV outputs, such as distinct tabs for pricing, ads, and news.
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