Ecommerce Keyword Research
- 595 installs
- 558 repo stars
- Updated July 23, 2026
- nexscope-ai/ecommerce-skills
ecommerce-keyword-research is an agent skill that discovers high-intent product and category keywords across six ecommerce marketplaces for developers who need SEO and paid-search terms for listings, collections, ads, an
About
ecommerce-keyword-research is a cross-platform keyword research skill from nexscope-ai/ecommerce-skills that guides agents through discovering high-converting terms for Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. The workflow analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities to prioritize keywords for product listings, collection pages, paid ads, and blog posts. Developers reach for ecommerce-keyword-research when launching or optimizing an ecommerce storefront and need marketplace-specific keyword lists instead of generic Google SEO guesses. The skill fits teams building Shopify themes, Amazon listing tools, or multi-channel commerce integrations who want structured keyword artifacts tied to real platform search behavior.
- Search intent clustering
- Long-tail opportunity mining
- Listing and PDP term maps
- Cannibalization checks
- Ad group seed lists
Ecommerce Keyword Research by the numbers
- 595 all-time installs (skills.sh)
- +92 installs in the week ending Jul 26, 2026 (Skillselion tracking)
- Ranked #691 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
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| Installs | 595 |
|---|---|
| repo stars | ★ 558 |
| Last updated | July 23, 2026 |
| Repository | nexscope-ai/ecommerce-skills ↗ |
How do you find high-intent ecommerce keywords across marketplaces?
Discover high-intent product and category keywords for ecommerce listings, collection pages, ads, and blog content to improve organic visibility and paid efficiency.
Who is it for?
Developers building or optimizing multi-channel ecommerce stores who need marketplace-specific keyword research before writing listings, collection pages, or ad copy.
Skip if: Developers seeking general B2B SaaS blog SEO or non-commerce site keyword research without product listing or marketplace context.
When should I use this skill?
A developer asks for Amazon, Shopify, Etsy, Walmart, Google Shopping, or TikTok Shop keywords for product pages, collections, ads, or ecommerce blog content.
What you get
Prioritized keyword lists with search volume signals, competition scores, commercial intent ratings, and long-tail opportunities per marketplace.
- Prioritized cross-platform keyword list
- Commercial intent and competition scoring per term
- Long-tail opportunity recommendations by marketplace
By the numbers
- Covers 6 ecommerce platforms: Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart
- Analyzes 4 keyword dimensions: search volume, competition, commercial intent, and long-tail opportunities
Files
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
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-keyword-research -gUsage
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.
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Choose ecommerce-keyword-research over general SEO skills when keyword output must map to specific marketplace listing fields, shopping feeds, or multi-channel product ads rather than informational blog rankings alone.
FAQ
Which ecommerce platforms does ecommerce-keyword-research cover?
ecommerce-keyword-research covers six marketplaces: Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. The skill tailors keyword discovery and intent scoring to each platform's search and listing context.
What signals does ecommerce-keyword-research analyze per keyword?
ecommerce-keyword-research evaluates search volume signals, competition indicators, commercial intent, and long-tail opportunities. Results help developers prioritize terms for product listings, collection pages, paid ads, and blog content.
When should developers use ecommerce-keyword-research?
Developers should invoke ecommerce-keyword-research when launching or optimizing ecommerce storefronts and need marketplace-specific keywords for listings, collections, Google Shopping feeds, or multi-channel ad campaigns.