# CLAUDE.md

## Overview

E-commerce SEO audit tool for product page optimization, product schema validation, category taxonomy analysis, and marketplace presence checking. Supports Naver Smart Store optimization and Korean marketplace platforms (Coupang, Gmarket, 11번가).

## Quick Start

```bash
pip install -r scripts/requirements.txt

# E-commerce SEO audit
python scripts/ecommerce_auditor.py --url https://example.com --json

# Product schema validation
python scripts/product_schema_checker.py --url https://example.com/product --json
```

## Scripts

| Script | Purpose | Key Output |
|--------|---------|------------|
| `ecommerce_auditor.py` | Full e-commerce SEO audit | Product page issues, category structure, marketplace presence |
| `product_schema_checker.py` | Validate product structured data | Schema completeness, errors, rich result eligibility |
| `base_client.py` | Shared utilities | RateLimiter, ConfigManager, BaseAsyncClient |

## E-Commerce Auditor

```bash
# Full audit
python scripts/ecommerce_auditor.py --url https://example.com --json

# Product page audit only
python scripts/ecommerce_auditor.py --url https://example.com --scope products --json

# Category taxonomy analysis
python scripts/ecommerce_auditor.py --url https://example.com --scope categories --json

# Check Korean marketplace presence
python scripts/ecommerce_auditor.py --url https://example.com --korean-marketplaces --json
```

**Capabilities**:
- Product page SEO audit (titles, meta descriptions, image alt text, H1 structure)
- Category taxonomy analysis (depth, breadcrumb implementation, faceted navigation)
- Duplicate content detection (parameter URLs, product variants, pagination)
- Pagination/infinite scroll SEO validation (rel=prev/next, canonical tags)
- Internal linking structure for product discovery
- Naver Smart Store optimization checks
- Korean marketplace presence (Coupang, Gmarket, 11번가 product listing detection)

## Product Schema Checker

```bash
# Validate single product page
python scripts/product_schema_checker.py --url https://example.com/product/123 --json

# Batch validate from sitemap
python scripts/product_schema_checker.py --sitemap https://example.com/product-sitemap.xml --sample 50 --json
```

**Capabilities**:
- Product schema validation (Product, Offer, AggregateRating, Review, BreadcrumbList)
- Required property completeness check (name, image, description, offers, price, availability)
- Optional property recommendations (brand, sku, gtin, mpn, review, aggregateRating)
- Rich result eligibility assessment
- Price and availability markup validation
- Merchant listing schema support
- Korean market: Naver Shopping structured data requirements

## Data Sources

| Source | Purpose |
|--------|---------|
| `our-seo-agent` CLI | Primary data source (future); use `--input` for pre-fetched JSON |
| WebSearch / WebFetch | Supplementary live data |
| Notion MCP | Save audit report to database |

## Output Format

```json
{
  "url": "https://example.com",
  "product_pages_audited": 50,
  "issues": {
    "critical": [...],
    "high": [...],
    "medium": [...],
    "low": [...]
  },
  "category_structure": {
    "max_depth": 4,
    "breadcrumbs_present": true,
    "faceted_nav_issues": [...]
  },
  "schema_validation": {
    "pages_with_schema": 42,
    "pages_without_schema": 8,
    "common_errors": [...]
  },
  "korean_marketplaces": {
    "naver_smart_store": {"found": true, "url": "..."},
    "coupang": {"found": false},
    "gmarket": {"found": false}
  },
  "score": 65,
  "timestamp": "2025-01-01T00:00:00"
}
```

## Notion Output (Required)

**IMPORTANT**: All audit reports MUST be saved to the OurDigital SEO Audit Log database.

### Database Configuration

| Field | Value |
|-------|-------|
| Database ID | `2c8581e5-8a1e-8035-880b-e38cefc2f3ef` |
| URL | https://www.notion.so/dintelligence/2c8581e58a1e8035880be38cefc2f3ef |

### Required Properties

| Property | Type | Description |
|----------|------|-------------|
| Issue | Title | Report title (Korean + date) |
| Site | URL | Audited website URL |
| Category | Select | E-Commerce SEO |
| Priority | Select | Based on issue severity |
| Found Date | Date | Audit date (YYYY-MM-DD) |
| Audit ID | Rich Text | Format: ECOM-YYYYMMDD-NNN |

### Language Guidelines

- Report content in Korean (한국어)
- Keep technical English terms as-is (e.g., Schema Markup, Product, Offer)
- URLs and code remain unchanged