amazon-backend-keywords

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Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and formatting keywords that aren't already in your listing.

Data & Documents 200 stars 32 forks Updated 6 days ago MIT

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Skill Content

# Amazon Backend Keywords ๐Ÿท๏ธ Optimize Amazon backend search terms for maximum discoverability. Generate the optimal 250-byte backend keyword set by deduplicating, prioritizing, and formatting keywords that aren't already in your listing. **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 amazon-backend-keywords -g ``` ## Usage ``` Optimize my backend keywords. My product is a bamboo laptop stand. Here are my current title and bullets: [paste listing]. Here are 50 keyword candidates: [paste keywords]. ``` ## Capabilities - 250-byte limit optimization (maximum keyword coverage in minimum space) - Deduplication against title, bullets, and description - Keyword prioritization by relevance and search volume signals - Spanish/multilingual keyword inclusion strategy - Misspelling and synonym coverage - Prohibited term filtering (competitor brands, restricted claims) - Before/after coverage comparison ## 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 frameworks and methodology below. *...

Details

Author
nexscope-ai
Repository
nexscope-ai/Amazon-Skills
Created
2 months ago
Last Updated
6 days ago
Language
Python
License
MIT

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