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

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1. Product Page Analysis (No DataForSEO Needed)

Fetch and parse any product page for on-page SEO quality.

Workflow

1. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --mode auto → raw/rendered HTML
2. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run 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 Description

• Contains product keyword + benefit
• Includes price or "from $XX" (triggers rich snippet interest)
• Call-to-action present (Shop now, Buy, Free shipping)
• Under 155 characters

Heading Structure

• Single H1 matching primary product name
• H2s for: Features, Specifications, Reviews, Related Products
• No duplicate H1 tags across product variants