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。