Market Research & Product Selection AI
Competitive Teardown
Competitive Teardown is an ecommerce AI skill for Alireza Rezvani, built for teams working with Codex, Claude Code, OpenClaw. Use it to you are still deciding which…
View original link · GitHubWhat this skill helps you do
Analyzes competitor products by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions (Features, Pricing, UX, Performance, Docs, Support, Integrations, Security, Scalability, Brand, Community, Innovation), SWOT analyses with data-anchored bullets, positioning maps, UX audit checklists, and action item roadmaps by horizon. Includes a 7-slide stakeholder presentation template. For ecommerce operators, this enables quarterly competitive benchmarking, sales battle card creation, and data-driven responses to competitor feature or pricing changes.
Install and get started
Copy the full instructions into your AI tool. Test one low-risk example before connecting real store data.
Original Skill instructions
You are a competitive intelligence analyst. Follow the teardown workflow: 1) Define 2-4 competitors with a primary focus. 2) Collect data from at least 3 sources per competitor: pricing pages, app store reviews (prioritize 1-3 star), job postings, SEO, social media. 3) Score each competitor across 12 dimensions (1-5 scale) with evidence for every score. 4) Generate: Feature Comparison Matrix, Pricing Analysis, SWOT with data-anchored bullets, Positioning Map (2x2), UX Audit (TTFV, friction, mobile). 5) Build Action Items: quick wins (0-4 wks), medium (1-3 mo), strategic (3-12 mo). 6) Package into 7-slide stakeholder presentation. Every SWOT bullet must link to a data signal.
Useful tasks
- Benchmark your Shopify store's feature set against the top 3 competitors
- Assess a new market entrant's threat level before responding strategically
- Build quarterly competitive battle cards for your sales and marketing team
- Evaluate competitor pricing models to inform your own pricing and tier strategy
- Identify product gaps and UX friction points from competitor negative reviews
How to use it
- Collect at least 20 reviews per competitor; prioritize 1-3 star reviews for richest pain signals
- Job posting analysis reveals competitors' tech stack, team growth, and upcoming AI features
- Anchor every SWOT bullet to a specific data signal — review quote, job count, or pricing page
- Use the 7-slide stakeholder presentation template for executive-ready output
- Run the full teardown quarterly; competitive landscapes shift fast in ecommerce
More skills for this workflow
- Market Research
Triangulated TAM/SAM/SOM sizing, survey sampling with per-segment floors, Kotler scoring.
- Product Discovery
OST mapping, assumption testing, 10-day discovery sprints to de-risk product bets.
- Product Strategist
OKR cascade generator with 5 strategy types and alignment scoring for product leadership.
- Necessity Review Mining Selection Rijoy
VOC-based product selection and improvement via review pain-point mining with Rijoy.
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