seo-ecommerce
agricidaniel/claude-seo
Analyze ecommerce SEO across product pages, schema, Shopping visibility, and keyword gaps.
What is seo-ecommerce?
Comprehensive SEO analysis tool for ecommerce stores and product listings. Evaluates on-page optimization, product schema validation, Google Shopping competitive intelligence, and keyword visibility gaps between organic and marketplace channels. Works standalone for on-page analysis or with DataForSEO Merchant API for live marketplace data.
- Analyze product page SEO quality including title, meta, images, content, and internal linking
- Validate and enhance Product schema markup for Google Merchant Center compliance
- Fetch live Google Shopping competitive data including pricing, sellers, and listing quality
- Compare Amazon and Google Shopping marketplace presence for the same products
- Identify keyword gaps between organic rankings and Shopping visibility
How to install seo-ecommerce
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-ecommerce- DataForSEO API key (optional for on-page analysis only; required for Shopping/Amazon data)
- Product page URL or keyword to analyze
- Google Merchant Center account (for implementing recommendations)
How to use seo-ecommerce
- 1.Run `/seo ecommerce <url>` to analyze a product page for on-page SEO quality and schema
- 2.Run `/seo ecommerce schema <url>` to validate and enhance Product schema markup
- 3.Run `/seo ecommerce products <keyword>` to see Google Shopping competitive landscape (requires DataForSEO)
- 4.Run `/seo ecommerce gaps <domain>` to identify keywords visible organically but missing from Shopping
- 5.Review the scoring breakdown and prioritize fixes by impact (schema, title/meta, images, content)
Use cases
- Optimize product pages before launching in Google Shopping or Amazon
- Analyze competitor pricing and seller strategies in your product category
- Find high-volume keywords ranking organically but missing from Shopping feeds
- Validate product schema before submitting to Google Merchant Center
- Compare your product visibility across Google Shopping and Amazon marketplaces
- Ecommerce store owners and operators
- SEO specialists managing product listings
- Digital marketers optimizing for Shopping channels
- Marketplace sellers on Amazon or Google Shopping
- Product managers evaluating marketplace strategy
seo-ecommerce FAQ
On-page analysis (no API needed) checks title, meta, images, content, and schema on your product page. Shopping analysis requires DataForSEO API and fetches live competitor data from Google Shopping and Amazon to show pricing, sellers, and visibility gaps.
No. You can analyze your own product pages without it. DataForSEO is required only for competitive Shopping analysis, Amazon data, and keyword gap reports.
Product schema following Google Merchant Center requirements. It checks for required fields (name, image, offers, price, priceCurrency) and recommends optional fields like rating, review count, and availability.
It compares your organic keyword rankings (from seo-dataforseo) against your Google Shopping and Amazon visibility for the same keywords, showing which channels you're missing and what content or feeds to prioritize.
Before each Merchant API call, the skill checks estimated cost and asks for approval if it exceeds your budget. After each call, it logs the actual cost to prevent overspending.
Full instructions (SKILL.md)
Source of truth, from agricidaniel/claude-seo.
name: seo-ecommerce description: > Analyze ecommerce SEO across product pages, product schema, Shopping visibility, marketplace signals, and keyword gaps. Use only for stores, catalogs, or product listings. user-invocable: true argument-hint: "<url or keyword>" license: MIT compatibility: "Enhanced with DataForSEO Merchant API (optional)" metadata: author: AgriciDaniel original_author: "Matej Marjanovic (Pro Hub Challenge)" version: "2.4.1" category: seo
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)
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 $XX" (triggers rich snippet interest)
- Call-to-action present (Shop now, Buy, Free shipping)
- Under 155 characters
Heading Structure
- Single H1 matching primary product name
- H2s for: Features, Specifications, Reviews, Related Products
- No duplicate H1 tags across product variants
Product Images
- Alt text includes product name + distinguishing feature
- File names are descriptive (not
IMG_001.jpg) - WebP format served (with JPEG fallback)
- At least 3 images per product (hero, detail, lifestyle)
- High-resolution images: Google recommends at least 50K pixels (width x height) for merchant listings; larger (for example 800px+) is common practice, not a rule
- Lazy loading on below-fold images only
Internal Linking
- Breadcrumb navigation: Home > Category > Subcategory > Product
- Related products section (cross-sell / upsell)
- Link back to category page with keyword-rich anchor
- Reviews section links to full review page (if separate)
Content Quality
- Unique product description (not manufacturer copy-paste)
- Word count >= 200 for product description body
- Specs table present (not just prose)
- User reviews on-page (UGC signals)
Scoring
| Category | Weight | Criteria |
|---|---|---|
| Schema completeness | 25% | Required + recommended Product fields |
| Title & meta | 15% | Keyword placement, length, format |
| Image optimization | 20% | Alt text, format, sizing, count |
| Content quality | 20% | Unique description, specs, reviews |
| Internal linking | 10% | Breadcrumbs, related products, categories |
| Technical | 10% | Page speed, mobile rendering, canonical |
2. Google Shopping Intelligence (DataForSEO Merchant API)
Live competitive analysis from Google Shopping results.
Cost Guardrail (MANDATORY)
Before EVERY Merchant API call:
"${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
| Metric | Google Shopping | Amazon |
|---|---|---|
| Avg price | $ | $ |
| Median rating | X.X | X.X |
| Avg review count | N | N |
| 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_keywordsfor domain - 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 - Cross-reference results
Gap Types
| Gap Type | Meaning | Action |
|---|---|---|
| Organic Only | Ranks organically but no Shopping ads | Create Google Merchant Center feed, bid on these keywords |
| Shopping Only | Shopping visibility but weak/no organic | Create content (buying guides, comparison pages) for these keywords |
| Both Present | Visible in both channels | Optimize: ensure price consistency, enhance schema |
| Neither | No visibility in either | Low 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 identifierdescription,brand,offers.seller-- recommended context fieldsgtin13/gtin14/mpn-- global trade identifiersaggregateRating-- star rating + review countreview-- individual reviews (minimum 1)color,material,size-- variant attributesshippingDetails-- ShippingDetails with rate and delivery time (merchant-level shipping viaShippingServiceis also supported; shipping/returns can be set in Search Console without a Merchant Center account)hasMerchantReturnPolicy-- MerchantReturnPolicy with type and dayshasAdultConsideration-- required for adult-oriented products (added 2026-05-20 to Product variant / Merchant listing); Google Search supports only the valuehttps://schema.org/SexualContentConsiderationcategory--Text,CategoryCode, or an array mixing both. Use custom text for merchant-defined product types andCategoryCodewith Google's taxonomy URL pluscodeValuefor Google Product Categories.
Validation Rules
pricemust be a number string, not "$29.99" (no currency symbol)availabilitymust use full Schema.org URL enumimageshould be array with >= 1 high-res image URLpriceCurrencymust be ISO 4217 (USD, EUR, GBP)- If
brandis present,brand.namemust not be empty or "N/A" - Sale periods use
validFromplus eithervalidThroughorpriceValidUntil, in ISO 8601 format. Include time and timezone when known. - If
aggregateRatingpresent:ratingValueandreviewCountrequired (the merchant-listing docs listreviewCount; the review-snippet docs also acceptratingCount) - Do not include fake reviews or undisclosed incentivized reviews in visible content or structured data. Clearly and prominently disclose incentives.
Schema Scoring
| Completeness | Score |
|---|---|
| All required fields | 50/100 |
| + aggregateRating | 65/100 |
| + sku/gtin/mpn | 75/100 |
| + shippingDetails | 85/100 |
| + merchantReturnPolicy | 90/100 |
| + reviews (3+) | 100/100 |
Cross-Skill Integration
| Skill | Integration Point |
|---|---|
| seo-schema | Delegates Product schema generation; reuses validation logic |
| seo-images | Product image audit (alt text, format, dimensions), plus DigitalSourceType: TrainedAlgorithmicMedia IPTC label for AI-generated product images (Merchant Center requirement) |
| seo-content | Product description E-E-A-T and uniqueness analysis |
| seo-dataforseo | Organic keyword rankings for gap analysis |
| seo-technical | Core Web Vitals for product pages (LCP on hero image) |
| seo-hreflang | Region-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-google | GSC 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
| Error | Cause | Response |
|---|---|---|
| No Product schema found | Page lacks JSON-LD | Analyze page content, generate recommended schema |
| DataForSEO credentials missing | Env vars not set | Run analysis without marketplace data, note limitation |
| Cost check blocked | Daily budget exceeded | Inform user, offer free-only analysis |
| Empty Shopping results | No products for keyword | Suggest broader keyword, check location settings |
| Amazon API timeout | Network/rate limit | Retry with backoff, fall back to Google-only |
| Invalid URL | Malformed input | Validate via google_auth.validate_url(), show error |
| Non-product page | URL is category/homepage | Run 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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