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. python scripts/fetch_page.py <url>         → raw HTML
2. python scripts/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

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:

bash

python scripts/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:

bash

python scripts/dataforseo_costs.py log merchant_google_products_search <cost>

Workflow

bash

# Product search: who sells what at what price
python scripts/dataforseo_merchant.py search "<keyword>" --marketplace google

# Seller analysis: merchant ratings and dominance
python scripts/dataforseo_merchant.py sellers "<keyword>"

# Normalize results for analysis
python scripts/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)

bash

python scripts/dataforseo_costs.py check merchant_amazon_products_search

Amazon endpoints are in the

warn_endpoints

set -- always requires user approval.

Workflow

bash

# Amazon product search
python scripts/dataforseo_merchant.py search "<keyword>" --marketplace amazon

# Cross-marketplace comparison
python scripts/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_keywords
```
for domain
Fetch Google Shopping presence via Merchant API:
```
merchant_google_products_search
```
for 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.

Required Properties (Google Merchant)

json

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "",
  "image": [""],
  "description": "",
  "brand": { "@type": "Brand", "name": "" },
  "offers": {
    "@type": "Offer",
    "url": "",
    "priceCurrency": "USD",
    "price": "0.00",
    "availability": "https://schema.org/InStock",
    "seller": { "@type": "Organization", "name": "" }
  }
}

Recommended Properties (Enhance Rich Results)

```
sku
```
-- product identifier
```
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
```
hasMerchantReturnPolicy
```
-- MerchantReturnPolicy with type and days

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)
```
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

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)
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-google	Google Merchant Center feed validation via GSC

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	Detect 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`

seo-ecommerce

NPX Install

Tags

SKILL.md Content

E-commerce SEO Analysis

Commands

1. Product Page Analysis (No DataForSEO Needed)

Workflow

Product SEO Checklist

Title Tag

Meta Description

Heading Structure

Product Images

Internal Linking

Content Quality

Scoring

2. Google Shopping Intelligence (DataForSEO Merchant API)

Cost Guardrail (MANDATORY)

Workflow

Analysis Outputs

Pricing Intelligence

Seller Landscape

Product Listing Quality

3. Amazon Marketplace (DataForSEO)

Cost Guardrail (MANDATORY)

Workflow

Cross-Marketplace Report

4. Marketplace Keyword Gaps

Workflow

Gap Types

Output Format

5. Product Schema Enhancement

Required Properties (Google Merchant)

Recommended Properties (Enhance Rich Results)

Validation Rules

Schema Scoring

Cross-Skill Integration

Error Handling

Output Template