seo-ecommerce

E-commerce SEO analysis: Google Shopping visibility, Amazon marketplace intelligence, product schema validation, competitor pricing analysis, and marketplace…

INSTALLATION
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-ecommerce
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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 Full e-commerce SEO analysis of a product page or storeOptional
/seo ecommerce products Google Shopping competitive analysisRequired
/seo ecommerce gaps Keyword gap: organic vs Shopping visibilityRequired
/seo ecommerce schema 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-seo run render_page.py <url> --mode auto → raw/rendered HTML

2. 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)
  • Image dimensions >= 800px for Google Shopping eligibility
  • 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-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-seo run dataforseo_costs.py log merchant_google_products_search <cost>

Workflow

# Product search: who sells what at what price

claude-seo run dataforseo_merchant.py search "<keyword>" --marketplace google

# Seller analysis: merchant ratings and dominance

claude-seo run dataforseo_merchant.py sellers "<keyword>"

# Normalize results for analysis

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-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-seo run dataforseo_merchant.py search "<keyword>" --marketplace amazon

# Cross-marketplace comparison

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

  • Fetch organic rankings via seo-dataforseo:

dataforseo_labs_google_ranked_keywords for domain

  • Fetch Google Shopping presence via Merchant API:

merchant_google_products_search for top organic keywords

  • 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.

{

  "@context": "https://schema.org",

  "@type": "Product",

  "name": "",

  "image": [""],

  "offers": {

    "@type": "Offer",

    "url": "",

    "priceCurrency": "USD",

    "price": "0.00",

    "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

Validation Rules

  • price must be a number string, not "$29.99" (no currency symbol)
  • availability must use full Schema.org URL enum
  • image should be array with >= 1 high-res image URL
  • priceCurrency must be ISO 4217 (USD, EUR, GBP)
  • If brand is present, brand.name must not be empty or "N/A"
  • Dates in priceValidUntil must be ISO 8601
  • If aggregateRating present: ratingValue and reviewCount required

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-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 2026-04-08 as the latest release 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-seo run ucp_check.py https://store.example.com --json

# With endpoint reachability probes (HEAD each declared capability)

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/homepageDetect page type, suggest /seo ecommerce schema instead

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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