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seo-ecommerce

Audit online store product pages for descriptions, images, metadata, links, and structured data that helps search engines understand products. With optional DataForSEO access, compare marketplace prices and identify differences between organic search and Google Shopping visibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Analyze ecommerce SEO across product pages, product schema, Shopping visibility, marketplace signals, and keyword gaps. Use only for stores, catalogs, or product listings.

설치 방법 보기

이럴 때 유용합니다

  • Find SEO improvements for a product page
  • Validate and improve Product structured data
  • Compare Google Shopping and Amazon prices
  • Find keyword gaps between organic search and Shopping

포함된 파일(3)

  • SKILL.md14.6 KB
  • references/marketplace-endpoints.md3.8 KB
  • references/ucp-universal-commerce-protocol.md8.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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

CommandPurposeDataForSEO?
/seo ecommerce <url>Full e-commerce SEO analysis of a product page or storeOptional
/seo ecommerce products <keyword>Google Shopping competitive analysisRequired
/seo ecommerce gaps <domain>Keyword gap: organic vs Shopping visibilityRequired
/seo ecommerce schema <url>Product schema validation and enhancementNo

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

Product Images

  • Alt text includes product name + distinguishing feature
  • File names are descriptive (not IMG_001.jpg)
  • WebP format served (with JPEG fallback)
  • At least 3 images per product (hero, detail, lifestyle)
  • High-resolution images: Google recommends at least 50K pixels (width x height) for merchant listings; larger (for example 800px+) is common practice, not a rule
  • Lazy loading on below-fold images only

Internal Linking

  • Breadcrumb navigation: Home > Category > Subcategory > Product
  • Related products section (cross-sell / upsell)
  • Link back to category page with keyword-rich anchor
  • Reviews section links to full review page (if separate)

Content Quality

  • Unique product description (not manufacturer copy-paste)
  • Word count >= 200 for product description body
  • Specs table present (not just prose)
  • User reviews on-page (UGC signals)

Scoring

CategoryWeightCriteria
Schema completeness25%Required + recommended Product fields
Title & meta15%Keyword placement, length, format
Image optimization20%Alt text, format, sizing, count
Content quality20%Unique description, specs, reviews
Internal linking10%Breadcrumbs, related products, categories
Technical10%Page speed, mobile rendering, canonical

2. Google Shopping Intelligence (DataForSEO Merchant API)

Live competitive analysis from Google Shopping results.

Cost Guardrail (MANDATORY)

Before EVERY Merchant API call:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check merchant_google_products_search
  • "status": "approved" -- proceed
  • "status": "needs_approval" -- show cost, ask user
  • "status": "blocked" -- stop, inform user

After each call:

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py log merchant_google_products_search <cost>

Workflow

# Product search: who sells what at what price
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search "<keyword>" --marketplace google

# Seller analysis: merchant ratings and dominance
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py sellers "<keyword>"

# Normalize results for analysis
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_normalize.py results.json --module merchant

Analysis Outputs

Pricing Intelligence

  • Price distribution: min, max, median, P25, P75
  • Price outliers (> 2 standard deviations from median)
  • Price-to-rating correlation
  • Currency normalization to USD (or user-specified)

Seller Landscape

  • Top 10 sellers by listing count
  • Merchant rating distribution
  • Free shipping prevalence
  • New vs established sellers

Product Listing Quality

  • Title keyword patterns in top listings
  • Average rating and review count benchmarks
  • Image count per listing
  • Availability status distribution

Load references/marketplace-endpoints.md for full API parameter details.


3. Amazon Marketplace (DataForSEO)

Cross-marketplace intelligence comparing Google Shopping and Amazon.

Cost Guardrail (MANDATORY)

"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_costs.py check merchant_amazon_products_search

Amazon endpoints are in the warn_endpoints set -- always requires user approval.

Workflow

# Amazon product search
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search "<keyword>" --marketplace amazon

# Cross-marketplace comparison
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py compare "<keyword>"

Cross-Marketplace Report

MetricGoogle ShoppingAmazon
Avg price$$
Median ratingX.XX.X
Avg review countNN
Top seller share%%
Free shipping %%%

4. Marketplace Keyword Gaps

Identify mismatches between organic and Shopping visibility.

Workflow

  1. Fetch organic rankings via seo-dataforseo: dataforseo_labs_google_ranked_keywords for domain
  2. Fetch Google Shopping presence through the Merchant REST script (not an MCP tool; the cost-ledger key is merchant_google_products_search): "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run dataforseo_merchant.py search <keyword> for the top organic keywords
  3. Cross-reference results

Gap Types

Gap TypeMeaningAction
Organic OnlyRanks organically but no Shopping adsCreate Google Merchant Center feed, bid on these keywords
Shopping OnlyShopping visibility but weak/no organicCreate content (buying guides, comparison pages) for these keywords
Both PresentVisible in both channelsOptimize: ensure price consistency, enhance schema
NeitherNo visibility in eitherLow priority unless high volume

Output Format

## Keyword Gap Analysis: example.com

### Opportunities: Organic → Shopping (12 keywords)
| Keyword | Organic Pos | Volume | CPC | Recommended Action |
|---------|------------|--------|-----|-------------------|

### Opportunities: Shopping → Organic (8 keywords)
| Keyword | Shopping Rank | Volume | CPC | Content Type Needed |
|---------|-------------|--------|-----|-------------------|

5. Product Schema Enhancement

Validate and generate Product schema following Google's current requirements.

Confirmed Required Properties (Google Merchant)

Confirmed required fields are name, image, and offers; use Offer, not AggregateOffer, for merchant listings. Merchant listings require a price greater than zero, and priceCurrency whenever price is set.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "",
  "image": [""],
  "offers": {
    "@type": "Offer",
    "url": "",
    "priceCurrency": "USD",
    "price": "49.00",
    "availability": "https://schema.org/InStock"
  }
}

Recommended Properties (Enhance Rich Results)

  • sku -- product identifier
  • description, brand, offers.seller -- recommended context fields
  • gtin13 / gtin14 / mpn -- global trade identifiers
  • aggregateRating -- star rating + review count
  • review -- individual reviews (minimum 1)
  • color, material, size -- variant attributes
  • shippingDetails -- ShippingDetails with rate and delivery time (merchant-level shipping via ShippingService is also supported; shipping/returns can be set in Search Console without a Merchant Center account)
  • hasMerchantReturnPolicy -- MerchantReturnPolicy with type and days
  • hasAdultConsideration -- required for adult-oriented products (added 2026-05-20 to Product variant / Merchant listing); Google Search supports only the value https://schema.org/SexualContentConsideration
  • category -- Text, CategoryCode, or an array mixing both. Use custom text for merchant-defined product types and CategoryCode with Google's taxonomy URL plus codeValue for Google Product Categories.

Validation Rules

  1. price must be a number string, not "$29.99" (no currency symbol)
  2. availability must use full Schema.org URL enum
  3. image should be array with >= 1 high-res image URL
  4. priceCurrency must be ISO 4217 (USD, EUR, GBP)
  5. If brand is present, brand.name must not be empty or "N/A"
  6. Sale periods use validFrom plus either validThrough or priceValidUntil, in ISO 8601 format. Include time and timezone when known.
  7. If aggregateRating present: ratingValue and reviewCount required (the merchant-listing docs list reviewCount; the review-snippet docs also accept ratingCount)
  8. Do not include fake reviews or undisclosed incentivized reviews in visible content or structured data. Clearly and prominently disclose incentives.

Schema Scoring

CompletenessScore
All required fields50/100
+ aggregateRating65/100
+ sku/gtin/mpn75/100
+ shippingDetails85/100
+ merchantReturnPolicy90/100
+ reviews (3+)100/100

Cross-Skill Integration

SkillIntegration Point
seo-schemaDelegates Product schema generation; reuses validation logic
seo-imagesProduct image audit (alt text, format, dimensions), plus DigitalSourceType: TrainedAlgorithmicMedia IPTC label for AI-generated product images (Merchant Center requirement)
seo-contentProduct description E-E-A-T and uniqueness analysis
seo-dataforseoOrganic keyword rankings for gap analysis
seo-technicalCore Web Vitals for product pages (LCP on hero image)
seo-hreflangRegion-specific result units: in the EEA, product and (since 2026-09-18) local business queries can show aggregator and supplier units; the EEA, South Africa and Türkiye also have structured data carousels, each with its own eligibility rules (documented 2026-09-08)
seo-googleGSC indexation + Performance data for product URLs (NOT Merchant Center feed validation, that is done in Merchant Center / the Merchant API; the legacy Content API for Shopping sunsets 2026-08-18)

UCP: Universal Commerce Protocol (live)

Google-initiated open standard (co-developed with Shopify, Etsy, Wayfair, Target, Walmart; payment partners Visa/Mastercard/Stripe/Adyen/Amex) for letting AI agents discover, negotiate, and transact with merchants without one-off integrations. Google confirms a first reference implementation for conversational buying in AI Mode in Search. Broader Universal Cart rollout details are reported from Google I/O 2026 keynote coverage; not confirmed on a Google-owned source. ucp.dev lists 2026-08-25 as the latest spec release (Google's merchant guide still documents 2026-04-08) in its date-based versioning scheme, not 1.0; two integration paths: Native (default) and Embedded (approved merchants). Pairs with AP2 (reportedly moving toward FIDO governance). Canonical: developers.google.com/merchant/ucp and ucp.dev.

Merchants already on Google Merchant Center with clean Product schema can declare a UCP profile at /.well-known/ucp listing capabilities (dev.ucp.shopping.checkout, .fulfillment, .discount). See references/ucp-universal-commerce-protocol.md for audit criteria, capability examples, and the relationship to AP2 (Agent Payments Protocol).

Audit command

# Discover and validate the UCP profile
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run ucp_check.py https://store.example.com --json

# With endpoint reachability probes (HEAD each declared capability)
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run ucp_check.py https://store.example.com --probe-endpoints --json

The script returns: profile presence, version, declared capabilities, structural issues (missing fields, unknown capability IDs), and (with --probe-endpoints) per-endpoint reachability. SSRF-blocked endpoints are reported explicitly. Missing profile is reported as opportunity, not failure. UCP itself is live; what's early is broad merchant adoption. Flag a literal "version": "1.0" as invalid (UCP versions are date-based, e.g. 2026-04-08).


Error Handling

ErrorCauseResponse
No Product schema foundPage lacks JSON-LDAnalyze page content, generate recommended schema
DataForSEO credentials missingEnv vars not setRun analysis without marketplace data, note limitation
Cost check blockedDaily budget exceededInform user, offer free-only analysis
Empty Shopping resultsNo products for keywordSuggest broader keyword, check location settings
Amazon API timeoutNetwork/rate limitRetry with backoff, fall back to Google-only
Invalid URLMalformed inputValidate via google_auth.validate_url(), show error
Non-product pageURL is category/homepageRun the store-level checks (UCP profile, category structure, feeds) and ask for a product URL for the product-level checks

Output Template

## E-commerce SEO Report: [URL or Keyword]

### Overall Score: XX/100

### Product Page SEO
- Schema Completeness: XX/100
- Title & Meta: XX/100
- Image Optimization: XX/100
- Content Quality: XX/100
- Internal Linking: XX/100

### Marketplace Intelligence (if DataForSEO available)
- Google Shopping Listings: N products found
- Price Range: $XX - $XX (median: $XX)
- Top Seller: [name] (XX% market share)
- Amazon Comparison: [available/not checked]

### Top Recommendations
1. [Critical] ...
2. [High] ...
3. [Medium] ...

Generate a PDF report? Use `/seo google report`

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