ecommerce-keyword-research

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Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. Analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities.

Data & Documents 493 stars 73 forks Updated 4 days ago MIT

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Skill Content

# E-Commerce Keyword Research ๐Ÿ” Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. Analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities. **Supported platforms:** Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce. Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) โ€” your AI assistant for smarter e-commerce decisions. ## Install ```bash npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -g ``` ## Usage ``` Find the best keywords for my bamboo cutting board. I sell on Amazon US and my own Shopify store. ``` ## Capabilities - Cross-platform keyword discovery (Amazon, Google, Etsy, Walmart, TikTok) - Long-tail keyword expansion with commercial intent scoring - Keyword grouping by search intent (informational, commercial, transactional) - Competition assessment based on keyword structure and modifier analysis - Seasonal trend identification and keyword calendar planning - Platform-specific keyword optimization (Amazon A9, Etsy SEO, Google Shopping) ## How This Skill Works **Step 1:** Collect information from the user's message โ€” product, platform, current situation, and goals. **Step 2:** Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a"). **Step 3:** Research and analyze using the frame...

Details

Author
nexscope-ai
Repository
nexscope-ai/eCommerce-Skills
Created
4 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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