Seo Ecommerce

This handles the full e-commerce SEO stack: on-page product optimization, Google Shopping competitive analysis, Amazon marketplace intel, and schema validation. You can run basic product page audits without any API keys, but the real value unlocks with DataForSEO's Merchant API for live pricing data, seller rankings, and keyword gap analysis between organic and Shopping visibility. It's thorough on the checklist side (image alt text, breadcrumbs, review signals) and includes cost guardrails before hitting paid endpoints. Originally from Matej Marjanovic's Pro Hub Challenge, now maintained by AgriciDaniel. If you're optimizing product pages or trying to figure out why competitors own Google Shopping for your keywords, this covers it.

skills.sh installs: 6.9K
GitHub stars: 27.8K
last updated: Aug 21, 2026

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Install

$ npx -y skills add agricidaniel/claude-seo --skill seo-ecommerce --agent claude-code

Installs into .claude/skills of the current project.

Files

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. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --mode auto → raw/rendered HTML
2. "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py --url <url>   → SEO elements
3. Analyze product-specific signals (below)