seo-ecommerce

# 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 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 - [ ] H2...