Ecommerce Keyword Research

作者 nexscope-aiee0fb29433d0无许可证收录于 2026年10月8日更新于 2026年10月8日

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.

仅含说明Marketing & Sales
AI 生成的概览

面向亚马逊、Etsy、沃尔玛和 Google Shopping 等平台的跨平台电商关键词研究。

功能
引导智能体收集产品与平台信息,提出一次多选式追问,然后分析关键词机会。产出结构化结果,涵盖关键词发现、长尾扩展、意图分组、竞争评估和季节性规划。建议按优先级排列,数据不完整时会对估算值加以标注。
适用场景
适用于卖家希望为某产品在多个电商平台获取关键词思路或 SEO 定位的场景。适合围绕商业意图和长尾搜索词规划商品页面、广告或内容。
运行要求
仅为说明文档,不附带脚本。依赖智能体自身的研究与分析能力,用户需提供产品、平台和目标信息。

E-Commerce Keyword Research 🔍

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.

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 — 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.

Output Format

  • 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

Other Skills

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.

来源与署名

来源:nexscope-ai/ecommerce-skills位于ecommerce-keyword-research提交ee0fb29

许可证: 无许可证

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