seo-ecommerce
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill seo-ecommerce --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# E-commerce SEO Analysis Comprehensive product page optimization, marketplace intelligence, and competitive pricing analysis. Works standalone (on-page + schema) and with DataForSEO Merchant API for live Google Shopping and Amazon data. ## Commands | Command | Purpose | DataForSEO? | |---------|---------|-------------| | `/seo ecommerce <url>` | Full e-commerce SEO analysis of a product page or store | Optional | | `/seo ecommerce products <keyword>` | Google Shopping competitive analysis | Required | | `/seo ecommerce gaps <domain>` | Keyword gap: organic vs Shopping visibility | Required | | `/seo ecommerce schema <url>` | Product schema validation and enhancement | No | --- ## 1. Product Page Analysis (No DataForSEO Needed) Fetch and parse any product page for on-page SEO quality. ### Workflow ``` 1. python scripts/fetch_page.py <url> → raw HTML 2. python scripts/parse_html.py --url <url> → SEO elements 3. Analyze product-specific signals (below) ``` ### Product SEO Checklist #### Title Tag - [ ] Contains primary product keyword - [ ] Includes brand name - [ ] Under 60 characters (no truncation in SERPs) - [ ] Format: `[Product Name] - [Key Feature] | [Brand]` #### Meta Descrip
- Commands
- 1. Product Page Analysis (No DataForSEO Needed)
- Workflow
- Product SEO Checklist
- Scoring
- 2. Google Shopping Intelligence (DataForSEO Merchant API)
- Cost Guardrail (MANDATORY)
- Analysis Outputs
- 3. Amazon Marketplace (DataForSEO)
- Cross-Marketplace Report
- 4. Marketplace Keyword Gaps
- Gap Types
- Output Format
- 5. Product Schema Enhancement
python scripts/dataforseo_costs.py check merchant_google_products_search python scripts/dataforseo_costs.py log merchant_google_products_search <cost> Product search: who sells what at what price python scripts/dataforseo_merchant.py search "<keyword>" --marketplace google Seller analysis: merchant ratings and dominance python scripts/dataforseo_merchant.py sellers "<keyword>" Normalize results for analysis python scripts/dataforseo_normalize.py results.json --module merchant python scripts/dataforseo_costs.py check merchant_amazon_products_search Amazon product search
What does the seo-ecommerce skill do?
E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace keyword gaps. Combines on-page product SEO with marketplace data from DataForSEO Merchant API. Use when user says "ecommerce SEO", "product SEO", "Google Shopping", "marketplace SEO", "product schema", "Amazon SEO", "product listings", "shopping ads", or "merchant SEO".
How do I install it?
Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill seo-ecommerce --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Infrasity-Labs/dev-gtm-claude-skills, a repository with 97 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.