competitor▌

Automated scraping and AI-powered analysis of e-commerce products across Amazon, Temu, and Shopee. \n \n Extracts product data (title, price, rating, reviews) from multiple platforms via batch scraping with error isolation, ensuring single failures don't halt processing \n Analyzes each product across four dimensions: copywriting strategy and keyword frequency, visual design methodology, customer review sentiment, and market positioning gaps \n Outputs results in dual formats: structured Google

Monitor competitor pricing pages and send alerts when prices change. Track discount patterns, promotional cycles, and pricing strategy shifts.

Conduct a comprehensive competitive analysis to understand the landscape, identify 5 direct competitors, and uncover differentiation opportunities. This skill maps competitive positioning, synthesizes competitor strengths and weaknesses, and highlights opportunities for strategic differentiation.

SEO-optimized competitor comparison and alternative pages that position your product against rivals. \n \n Covers four page formats: singular alternatives, plural alternatives, you vs. competitor, and competitor vs. competitor comparisons \n Includes centralized competitor data architecture for consistent, maintainable information across all comparison pages \n Provides structured research process covering product features, pricing, reviews, and customer feedback with quarterly update cadence \n

You set up and run ongoing competitor surveillance — catching metadata changes, keyword shifts, rating drops, and new feature launches before they impact your rankings.

Structured competitive analysis with feature matrices, pricing breakdowns, SWOT analysis, and positioning maps. \n \n Provides a 7-layer analysis framework covering product, pricing, positioning, traction, reviews, content, and team across competitors \n Includes templates and commands for feature matrices, pricing comparisons, SWOT analysis, and 2x2 positioning maps with visual generation \n Integrates web search (Tavily, Exa), browser automation for UX screenshots, and Python for positioning m