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ecommerce-keyword-research

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English
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Chinese

E-Commerce Keyword Research 🔍

电商关键词研究 🔍

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 — your AI assistant for smarter e-commerce decisions.
面向电商的跨平台关键词研究工具，可在Amazon、Shopify、Etsy、Google Shopping、TikTok Shop、沃尔玛等平台发掘高转化关键词，分析搜索量信号、竞争指标、商业意图及长尾机会。
支持平台： Amazon、Shopify、WooCommerce、沃尔玛、TikTok Shop、Etsy、eBay、BigCommerce。
由Nexscope开发——你制定更明智电商决策的AI助手。

Install

安装

bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -g

Usage

使用示例

Find the best keywords for my bamboo cutting board. I sell on Amazon US and my own Shopify store.
Find the best keywords for my bamboo cutting board. I sell on Amazon US and my own Shopify store.

Capabilities

功能

  • 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)
  • 跨平台关键词发掘（Amazon、Google、Etsy、沃尔玛、TikTok）
  • 附带商业意图评分的长尾关键词拓展
  • 按搜索意图分组关键词（信息类、商业类、交易类）
  • 基于关键词结构和修饰词分析的竞争度评估
  • 季节性趋势识别与关键词日历规划
  • 平台专属关键词优化（Amazon A9、Etsy SEO、Google Shopping）

How This Skill Works

本Skill工作原理

Step 1: Collect information from the user's message — 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.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
步骤1： 从用户消息中收集信息——产品、平台、现状与目标。
步骤2： 用选择题形式一次性提出所有剩余的跟进问题，允许简写回答（例如："1b 2c 3a"）。
步骤3： 采用对应框架和方法开展调研与分析。
步骤4： 输出结构化、可落地的结果，附带具体建议，而非模糊指导。

Output Format

输出格式

  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps
  • 以调研结果总结开头
  • 如有可用数据，需包含具体数据点和基准值
  • 提供优先级排序的行动项
  • 若基于不完整数据得出估算值，需标注⚠️
  • 以具体后续步骤收尾

Other Skills

其他Skill

More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
更多电商Skill：nexscope-ai/eCommerce-Skills
亚马逊专属Skill：nexscope-ai/Amazon-Skills
由Nexscope开发——你制定更明智电商决策的AI助手。