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// SKILL

E-COMMERCE SEO
SHOPPING + MARKETPLACE

E-commerce SEO is the practice of improving product and category visibility across web search and shopping surfaces. Claude SEO combines on-page product optimization, Product schema validation, Google Shopping analysis, Amazon marketplace intelligence, pricing comparisons, and live DataForSEO Merchant API data in one workflow.

By Daniel Agrici · Last updated:

CONTRIBUTED BY MATEJ MARJANOVIC · PRO HUB CHALLENGE · original repo
$
/seo ecommerce https://your-store.com

REQUIRES CLAUDE SEO INSTALLED IN CLAUDE CODE

Claude SEO e-commerce SEO with Google Shopping, Amazon marketplace, and product schema
// HOW IT WORKS

How does e-commerce SEO analysis work?

E-commerce teams often manage several discovery surfaces at once: Google web search, Google Shopping experiences, and marketplace search such as Amazon. Each surface has different eligibility rules, data formats, result features, query patterns, and reporting limitations.

The skill runs a unified analysis. On-page audits cover Product schema completeness, title and meta structure, image quality, content uniqueness, and internal linking. Marketplace audits pull live data from the DataForSEO Merchant API: Google Shopping SERPs, Amazon search results, seller and pricing distributions, and keyword visibility gaps between organic and Shopping channels.

Primary references: Google's Product structured data documentation explains product search appearances, and its merchant listing documentation defines the markup used for shopping experiences.

/seo ecommerce <url> GOOGLE WEB product schema on-page audit GOOGLE SHOPPING free listings + ads merchant API AMAZON search + BSR ASIN or keyword UNIFIED E-COMMERCE REPORT Schema score, pricing analysis, marketplace gaps, action plan

The Six Coverage Areas

One skill, six analytical lenses. Run them all with the full command or scope to a single area with subcommands.

01
PRODUCT SCHEMA
Validates Product, Offer, AggregateRating, Review schema against Google Merchant Center requirements. Auto-generates JSON-LD for missing fields.
02
GOOGLE SHOPPING
Live Shopping SERP analysis via DataForSEO Merchant API. Identifies competing sellers, their pricing, organic vs paid placement.
03
AMAZON MARKETPLACE
Amazon search rank, sponsored placements, Best Sellers Rank, ratings distribution, top reviews keyword frequency. ASIN or keyword input.
04
COMPETITOR PRICING
Track competitor pricing across Google Shopping and Amazon. Flags pricing changes that may affect your visibility.
05
MARKETPLACE KEYWORDS
Marketplace keyword gap analysis. Marketplace shoppers search differently than web users. Find the gaps.
06
CATEGORY ARCHITECTURE
Validates your product category and faceted-navigation architecture against SERPs. Flags thin categories and over-pagination.
// USAGE

How do you run an e-commerce SEO audit?

Commands

CommandWhat it does
/seo ecommerce <url>Full e-commerce SEO analysis of a product page or store
/seo ecommerce shopping <query>Google Shopping SERP analysis: sellers, pricing, organic vs paid
/seo ecommerce amazon <asin|keyword>Amazon marketplace data: rank, BSR, ratings, review keywords
/seo ecommerce schema <url>Product schema validation only (no marketplace data required)
/seo ecommerce pricing <competitor-url>Competitor pricing snapshot across Shopping and Amazon

DataForSEO Merchant API

The Shopping, Amazon, pricing, and marketplace-gaps surfaces all rely on the DataForSEO Merchant API. This is a paid endpoint unlocked through the DataForSEO extension, with cost guardrails built in. Every Merchant API call is gated by claude-seo run dataforseo_costs.py check <endpoint>, which returns approved, needs_approval, or blocked based on your daily budget. Amazon endpoints sit in the warn_endpoints set and always require explicit approval. The cost configuration was also contributed by Matej as part of the same Pro Hub Challenge submission.

Schema validation, on-page product audits, image checks, and content quality scoring run without DataForSEO. You can use those surfaces on a free, MIT-licensed install with no API keys.

Cross-Skill Integration

E-commerce SEO is not isolated. It cross-references the specialist skills:

  • Product schema/seo schema for full structured-data coverage beyond Product
  • Live marketplace data/seo dataforseo for SERP, keywords, backlinks beyond Merchant API
  • Product images/seo images for alt-text, format, and Google Shopping dimension checks
  • Description quality/seo content for E-E-A-T scoring on product copy
  • Full site audit/seo audit orchestrator auto-detects e-commerce sites and spawns this skill

Output

A unified e-commerce SEO report with an overall score, sub-scores per area, marketplace intelligence (when DataForSEO is available), and a prioritized list of recommendations tagged Critical, High, Medium.

// FAQ

What should you know about e-commerce SEO?

Product pages combine product structured data, offers, availability, merchant feeds, variants, images, reviews, and marketplace-specific data. Google web search, Shopping experiences, and Amazon expose different result features and reporting. The skill reviews those surfaces separately without promising a ranking response time.
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$
git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git && bash claude-seo/install.sh
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