ecommerce-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.
Use this skill
$ npx skills add seoskills.sh/ecommerce-keyword-researchSKILL.md
---
name: ecommerce-keyword-research
description: "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."
metadata:
nexscope:
emoji: "๐"
category: ecommerce
---
# E-Commerce Keyword Research ๐
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 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 โ ๏ธ when based on incomplete data
- End with concrete next steps
## Other Skills
More e-commerce skills: [nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills)
Amazon-specific skills: [nexscope-ai/Amazon-Skills](https://github.com/nexscope-ai/Amazon-Skills)
Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) โ your AI assistant for smarter e-commerce decisions.
Not using the CLI? Copy the SKILL.md and paste it straight into ChatGPT, Claude, or any agent.
Embed a badge
More in Keyword Research
find-keywords
Build a prioritized keyword list for a website, topic, or campaign. Use when the user asks about keyword research, finding keywords to target, building a keyword list, search demand, keyword difficulty, intent mapping, or which keywords to prioritize. For writing content around keywords, see brief. For grouping keywords into clusters, see build-clusters.
seo-plan
Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says "SEO plan", "SEO strategy", "SEO planning", "content strategy", "keyword strategy", "content calendar", "site architecture", or "SEO roadmap".
seo-cluster
SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".
seo-sxo
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
target-serp
Identify and capture SERP features for target keywords โ featured snippets, People Also Ask boxes, knowledge panels, and rich results. Use when the user asks about featured snippets, position zero, PAA optimization, rich results, schema markup for SERP features, or how to get more SERP real estate.
amazon-keyword-research
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete da