Restructure skill numbering: SEO 11-30, GTM 60-69, reserve 19-28 for future skills

Renumber 12 existing skills to new ranges:
- SEO: 11→13, 12→18, 13→16, 14→17, 15→14, 16→15, 17→29, 18→30, 19→12
- GTM: 20→60, 21→61, 22→62

Update cross-references in gateway architect/builder skills, GTM guardian
README, CLAUDE.md (skill tables + directory layout), and AGENTS.md
(domain routing ranges).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-02-13 02:37:39 +09:00
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# SEO Gateway Page Strategist Skill
## Overview
A comprehensive Claude Skill for creating SEO-focused gateway page strategies optimized for Korean medical and service websites, with specific optimization for both Naver and Google.
## Installation
1. Download and extract the skill package
2. In Claude Desktop, go to Settings > Skills
3. Click "Add Skill" and select the folder
4. The skill will be available in your conversations
## File Structure
```
seo-gateway-strategist/
├── SKILL.md # Main skill definition
├── README.md # This file
├── scripts/
│ ├── keyword_analyzer.py # Keyword research automation
│ └── requirements.txt # Python dependencies
├── templates/
│ ├── keyword-research-template.md
│ ├── content-architecture-template.md
│ └── seo-checklist-template.md
└── examples/
└── eye-surgery-strategy-example.md
```
## Quick Start
### Basic Usage
Simply ask Claude:
```
"Use the SEO Gateway Page Strategist skill to create a strategy for [your service]"
```
### Example Prompts
```
"Create an SEO gateway page strategy for 눈 성형"
"Use SEO Gateway Page Strategist skill for laser hair removal targeting Gangnam area"
"Apply the gateway strategist skill for 동안 성형 with competitor analysis"
```
## Features
### 1. Keyword Research & Analysis
- Primary keyword identification
- 10+ LSI keyword suggestions
- Long-tail keyword generation
- Question keywords for FAQs
- User intent distribution analysis
### 2. Content Architecture Planning
- Complete H1-H3 hierarchy
- Section-by-section word counts
- Keyword placement strategy
- Internal linking map
- Content depth recommendations
### 3. Technical SEO Specifications
- Meta tag templates
- Schema markup code
- Performance requirements
- Mobile optimization guidelines
- Core Web Vitals targets
### 4. Performance Tracking
- 30/60/90-day KPI targets
- Measurement methodologies
- Competitive benchmarking
- ROI tracking framework
## Python Scripts Usage
### keyword_analyzer.py
Automated keyword research and analysis tool.
#### Installation
```bash
cd scripts
pip install -r requirements.txt
```
#### Usage
```bash
python keyword_analyzer.py "눈 성형"
```
#### Output
- Keyword analysis report (console)
- JSON export file with all data
- Strategic recommendations
## Templates
### keyword-research-template.md
Comprehensive worksheet for keyword planning:
- Primary keyword metrics
- LSI keyword matrix
- Intent distribution
- Competitor gaps
- Seasonal trends
### content-architecture-template.md
Page structure blueprint:
- Complete heading hierarchy
- Content blocks with word counts
- Keyword density mapping
- Schema markup templates
### seo-checklist-template.md
Technical implementation checklist:
- Meta tags optimization
- Performance requirements
- Mobile optimization
- Naver-specific elements
- Tracking setup
## Best Practices
### For Medical Services
1. Always verify medical claims compliance
2. Include trust signals prominently
3. Focus on E-A-T (Expertise, Authority, Trust)
4. Use medical schema markup
5. Include comprehensive FAQs
### For Local SEO
1. Include location modifiers in keywords
2. Optimize for "near me" searches
3. Add local business schema
4. Create location-specific content
5. Build local citations
### For Naver Optimization
1. Keep titles under 30 Korean characters
2. Optimize image-to-text ratio (40:60)
3. Minimize outbound links
4. Focus on brand searches
5. Integrate Naver Blog content
## Customization
### Industry Adaptation
Replace medical-specific terms with your industry:
- Medical → Your Industry
- 시술 → Service/Product
- 전문의 → Specialist/Expert
- 클리닉 → Business Name
### Language Settings
The skill supports:
- Korean (primary)
- English
- Bilingual optimization
### Market Specifics
Adjust for your market:
- Change location references
- Update competitor examples
- Modify pricing strategies
- Adapt cultural considerations
## Integration Points
### Analytics Tools
- Google Analytics 4
- Google Search Console
- Naver Analytics
- Naver Webmaster Tools
### CMS Platforms
- WordPress
- Ghost
- Strapi
- Custom CMS
### Marketing Tools
- SEMrush
- Ahrefs
- Screaming Frog
- PageSpeed Insights
## Troubleshooting
### Common Issues
**Q: The skill isn't appearing in Claude**
A: Ensure the SKILL.md file is in the root folder and restart Claude Desktop
**Q: Python script not working**
A: Check Python 3.7+ is installed and dependencies are met
**Q: Keywords seem generic**
A: Provide more specific context about your market and competitors
## Updates
### Version History
- v1.0.0 (2024-12-28): Initial release
- Complete keyword research system
- Content architecture planning
- Technical SEO checklist
- Korean market optimization
### Planned Features
- [ ] AI-powered competitor analysis
- [ ] Automated content generation
- [ ] Real-time SERP tracking
- [ ] Multi-language support
- [ ] API integrations
## Support
### Documentation
- Full examples in `/examples/` folder
- Templates in `/templates/` folder
- Skill documentation in `SKILL.md`
### Feedback
Please provide feedback to improve this skill:
- What features would you like added?
- What industries need specific templates?
- What integrations would be helpful?
## License
This skill is provided as-is for use with Claude Desktop. Feel free to modify and adapt for your specific needs.
---
**Created by**: OurDigital SEO Team
**Last Updated**: December 28, 2024
**Version**: 1.0.0

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# CLAUDE.md
## Overview
SEO gateway page strategist for Korean medical/service websites. Creates keyword strategies, content architecture, and technical SEO plans.
## Quick Start
```bash
pip install -r scripts/requirements.txt
# Keyword analysis
python scripts/keyword_analyzer.py --topic "눈 성형" --market "강남"
```
## Scripts
| Script | Purpose |
|--------|---------|
| `keyword_analyzer.py` | Analyze keywords, search volume, competitor gaps |
## Keyword Analyzer
```bash
# Basic analysis
python scripts/keyword_analyzer.py --topic "눈 성형"
# With location targeting
python scripts/keyword_analyzer.py --topic "눈 성형" --market "강남" --output strategy.json
# Competitor analysis
python scripts/keyword_analyzer.py --topic "눈 성형" --competitors url1,url2
```
## Output
Generates strategic document with:
- Primary keyword + monthly search volume
- LSI keywords (7-10)
- User intent distribution
- Competitor gap analysis
- Content architecture (H1-H3 structure)
- Technical SEO checklist
## Templates
See `templates/` for:
- `keyword-research-template.md`
- `content-architecture-template.md`
- `seo-checklist-template.md`
## Workflow
1. Run keyword analyzer for target topic
2. Review search volume and intent data
3. Use output to plan content architecture
4. Hand off to `30-seo-gateway-builder` for content generation
## Configuration
```bash
# Optional: API keys for enhanced data
GOOGLE_API_KEY=xxx
NAVER_API_KEY=xxx
```
## 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 | Technical SEO, On-page SEO, Performance, Schema/Structured Data, Sitemap, Robots.txt, Content, Local SEO |
| Priority | Select | Critical, High, Medium, Low |
| Found Date | Date | Audit date (YYYY-MM-DD) |
| Audit ID | Rich Text | Format: [TYPE]-YYYYMMDD-NNN |
### Language Guidelines
- Report content in Korean (한국어)
- Keep technical English terms as-is (e.g., SEO Audit, Core Web Vitals, Schema Markup)
- URLs and code remain unchanged
### Example MCP Call
```bash
mcp-cli call notion/API-post-page '{"parent": {"database_id": "2c8581e5-8a1e-8035-880b-e38cefc2f3ef"}, "properties": {...}}'
```

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#!/usr/bin/env python3
"""
Keyword Analyzer for SEO Gateway Pages
Analyzes keywords and generates SEO strategy recommendations
"""
import json
from typing import Dict, List, Tuple
from dataclasses import dataclass
from datetime import datetime
@dataclass
class KeywordData:
"""Data structure for keyword information"""
keyword: str
search_volume: int
difficulty: float
intent: str
cpc: float = 0.0
trend: str = "stable"
class KeywordAnalyzer:
"""Analyzes keywords for SEO gateway pages"""
def __init__(self, primary_keyword: str):
self.primary_keyword = primary_keyword
self.results = {
"primary": None,
"lsi": [],
"long_tail": [],
"questions": [],
"intent_distribution": {},
"recommendations": []
}
def analyze_primary_keyword(self) -> KeywordData:
"""
Analyzes the primary keyword
In production, this would call actual keyword research APIs
"""
# Simulated data - replace with actual API calls
keyword_data = {
"눈 성형": {"volume": 12000, "difficulty": 65, "intent": "informational", "cpc": 2500},
"이마 성형": {"volume": 5500, "difficulty": 55, "intent": "informational", "cpc": 3000},
"동안 성형": {"volume": 8000, "difficulty": 70, "intent": "comparative", "cpc": 2800},
}
data = keyword_data.get(self.primary_keyword, {
"volume": 1000,
"difficulty": 50,
"intent": "informational",
"cpc": 1000
})
self.results["primary"] = KeywordData(
keyword=self.primary_keyword,
search_volume=data["volume"],
difficulty=data["difficulty"],
intent=data["intent"],
cpc=data["cpc"]
)
return self.results["primary"]
def generate_lsi_keywords(self) -> List[KeywordData]:
"""Generates LSI (Latent Semantic Indexing) keywords"""
lsi_patterns = {
"눈 성형": [
("쌍꺼풀 수술", 8000, "transactional"),
("눈매교정", 5500, "informational"),
("앞트임", 4000, "informational"),
("뒤트임", 3500, "informational"),
("눈 성형 비용", 2000, "comparative"),
("눈 성형 부작용", 1500, "informational"),
("눈 성형 회복기간", 1800, "informational"),
("눈 성형 전후", 3000, "comparative"),
("남자 눈 성형", 2500, "informational"),
("눈 성형 잘하는곳", 2200, "comparative")
],
"이마 성형": [
("이마거상술", 3000, "informational"),
("이마축소술", 2500, "informational"),
("헤어라인교정", 4000, "transactional"),
("이마 성형 비용", 1200, "comparative"),
("이마 보톡스", 6000, "transactional"),
("M자 탈모 수술", 5000, "informational"),
("이마 필러", 4500, "transactional"),
("이마 성형 부작용", 800, "informational"),
("이마 리프팅", 3500, "comparative"),
("이마 주름 제거", 2800, "transactional")
],
"동안 성형": [
("안면 리프팅", 7000, "transactional"),
("실리프팅", 9000, "transactional"),
("보톡스 시술", 15000, "transactional"),
("필러 시술", 12000, "transactional"),
("동안 성형 비용", 2500, "comparative"),
("울쎄라", 8000, "comparative"),
("써마지", 6500, "comparative"),
("동안 시술 종류", 1800, "informational"),
("주름 제거 시술", 4000, "transactional"),
("동안 성형 추천", 2200, "comparative")
]
}
lsi_list = lsi_patterns.get(self.primary_keyword, [
(f"{self.primary_keyword} 비용", 1000, "comparative"),
(f"{self.primary_keyword} 부작용", 800, "informational"),
(f"{self.primary_keyword} 후기", 1200, "comparative"),
])
for keyword, volume, intent in lsi_list:
self.results["lsi"].append(KeywordData(
keyword=keyword,
search_volume=volume,
difficulty=45 + (volume/1000), # Simple difficulty calculation
intent=intent
))
return self.results["lsi"]
def generate_long_tail_keywords(self) -> List[str]:
"""Generates long-tail keyword variations"""
location_modifiers = ["강남", "신사", "청담", "압구정", "서울"]
action_modifiers = ["잘하는곳", "추천", "유명한", "전문", "비용"]
long_tails = []
for location in location_modifiers:
long_tails.append(f"{location} {self.primary_keyword}")
for action in action_modifiers[:2]: # Limit combinations
long_tails.append(f"{location} {self.primary_keyword} {action}")
self.results["long_tail"] = long_tails
return long_tails
def generate_question_keywords(self) -> List[str]:
"""Generates question-based keywords for featured snippets"""
question_templates = [
f"{self.primary_keyword} 비용은 얼마인가요?",
f"{self.primary_keyword} 회복기간은 얼마나 걸리나요?",
f"{self.primary_keyword} 부작용이 있나요?",
f"{self.primary_keyword} 통증이 심한가요?",
f"{self.primary_keyword} 효과는 얼마나 지속되나요?",
f"{self.primary_keyword} 나이 제한이 있나요?",
f"{self.primary_keyword} 후 주의사항은 무엇인가요?"
]
self.results["questions"] = question_templates
return question_templates
def calculate_intent_distribution(self) -> Dict[str, float]:
"""Calculates user intent distribution across keywords"""
intent_counts = {
"informational": 0,
"comparative": 0,
"transactional": 0,
"navigational": 0
}
# Count primary keyword intent
if self.results["primary"]:
intent_counts[self.results["primary"].intent] += self.results["primary"].search_volume
# Count LSI keyword intents
for kw in self.results["lsi"]:
intent_counts[kw.intent] += kw.search_volume
# Calculate percentages
total_volume = sum(intent_counts.values())
if total_volume > 0:
self.results["intent_distribution"] = {
intent: round((count/total_volume) * 100, 1)
for intent, count in intent_counts.items()
if count > 0
}
return self.results["intent_distribution"]
def generate_recommendations(self) -> List[str]:
"""Generates SEO recommendations based on analysis"""
recommendations = []
# Based on search volume
if self.results["primary"] and self.results["primary"].search_volume > 10000:
recommendations.append("High search volume detected - prioritize this page for development")
# Based on intent distribution
intent_dist = self.results["intent_distribution"]
if intent_dist.get("informational", 0) > 50:
recommendations.append("Focus on educational content and comprehensive guides")
if intent_dist.get("comparative", 0) > 30:
recommendations.append("Include comparison tables and competitive differentiators")
if intent_dist.get("transactional", 0) > 20:
recommendations.append("Optimize conversion elements and CTAs above the fold")
# Based on competition
if self.results["primary"] and self.results["primary"].difficulty > 60:
recommendations.append("High competition - invest in quality content and backlinks")
recommendations.append("Target long-tail keywords for quicker wins")
# Question keywords
if len(self.results["questions"]) > 5:
recommendations.append("Implement FAQ schema markup for featured snippets")
self.results["recommendations"] = recommendations
return recommendations
def export_analysis(self, filename: str = None) -> str:
"""Exports the analysis results to JSON"""
if not filename:
filename = f"keyword_analysis_{self.primary_keyword.replace(' ', '_')}_{datetime.now().strftime('%Y%m%d')}.json"
export_data = {
"analysis_date": datetime.now().isoformat(),
"primary_keyword": self.primary_keyword,
"primary_data": {
"keyword": self.results["primary"].keyword,
"search_volume": self.results["primary"].search_volume,
"difficulty": self.results["primary"].difficulty,
"intent": self.results["primary"].intent
} if self.results["primary"] else None,
"lsi_keywords": [
{
"keyword": kw.keyword,
"volume": kw.search_volume,
"intent": kw.intent
} for kw in self.results["lsi"]
],
"long_tail_keywords": self.results["long_tail"],
"question_keywords": self.results["questions"],
"intent_distribution": self.results["intent_distribution"],
"recommendations": self.results["recommendations"]
}
with open(filename, 'w', encoding='utf-8') as f:
json.dump(export_data, f, ensure_ascii=False, indent=2)
return filename
def generate_report(self) -> str:
"""Generates a formatted text report"""
report = f"""
# Keyword Analysis Report
Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}
## Primary Keyword: {self.primary_keyword}
- Search Volume: {self.results['primary'].search_volume:,}
- Difficulty: {self.results['primary'].difficulty}/100
- Primary Intent: {self.results['primary'].intent.capitalize()}
## LSI Keywords (Top 10)
"""
for i, kw in enumerate(self.results['lsi'][:10], 1):
report += f"{i}. {kw.keyword} - Volume: {kw.search_volume:,} ({kw.intent})\n"
report += f"\n## User Intent Distribution\n"
for intent, percentage in self.results['intent_distribution'].items():
report += f"- {intent.capitalize()}: {percentage}%\n"
report += f"\n## Long-tail Opportunities\n"
for keyword in self.results['long_tail'][:5]:
report += f"- {keyword}\n"
report += f"\n## Question Keywords (FAQ Optimization)\n"
for question in self.results['questions'][:5]:
report += f"- {question}\n"
report += f"\n## Strategic Recommendations\n"
for i, rec in enumerate(self.results['recommendations'], 1):
report += f"{i}. {rec}\n"
return report
def main():
"""Main execution function"""
import argparse
parser = argparse.ArgumentParser(
description='Analyze keywords for SEO gateway page strategy',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog='''
Examples:
python keyword_analyzer.py --topic "눈 성형"
python keyword_analyzer.py --topic "이마 성형" --market "강남"
python keyword_analyzer.py --topic "동안 성형" --output strategy.json
'''
)
parser.add_argument('--topic', '-t', required=True,
help='Primary keyword to analyze (e.g., "눈 성형")')
parser.add_argument('--market', '-m', default=None,
help='Target market/location (e.g., "강남")')
parser.add_argument('--output', '-o', default=None,
help='Output JSON file path')
parser.add_argument('--competitors', '-c', default=None,
help='Comma-separated competitor URLs for analysis')
args = parser.parse_args()
keyword = args.topic
if args.market:
keyword = f"{args.market} {args.topic}"
print(f"Analyzing keyword: {keyword}")
print("-" * 50)
analyzer = KeywordAnalyzer(keyword)
# Run analysis
analyzer.analyze_primary_keyword()
analyzer.generate_lsi_keywords()
analyzer.generate_long_tail_keywords()
analyzer.generate_question_keywords()
analyzer.calculate_intent_distribution()
analyzer.generate_recommendations()
# Generate and print report
report = analyzer.generate_report()
print(report)
# Export to JSON
filename = analyzer.export_analysis(args.output)
print(f"\nAnalysis exported to: {filename}")
if __name__ == "__main__":
main()

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# Python dependencies for SEO Gateway Page Strategist scripts
# Install with: pip install -r requirements.txt
# Core dependencies
requests>=2.28.0
beautifulsoup4>=4.11.0
pandas>=1.5.0
numpy>=1.23.0
# For API integrations (optional)
google-api-python-client>=2.70.0
pytrends>=4.9.0
# For data visualization (optional)
matplotlib>=3.6.0
seaborn>=0.12.0
# For export formats
openpyxl>=3.0.0
jinja2>=3.1.0
# Development tools
pytest>=7.2.0
black>=22.0.0
pylint>=2.15.0

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# Content Architecture Template
## Page Hierarchy Structure
```
[Page URL: /service-name]
├── H1: [Primary Keyword-Optimized Headline]
│ Example: "강남 눈 성형 전문의가 만드는 자연스러운 눈매"
│ Word Count Target: 15-25 characters
│ Keyword Placement: Primary keyword at beginning
├── Hero Section [Above Fold]
│ ├── Value Proposition (30-50 words)
│ │ └── Keywords: Primary + 1 LSI
│ ├── Trust Signals (3-5 items)
│ │ ├── Certification badges
│ │ ├── Years of experience
│ │ └── Success cases number
│ └── Primary CTA
│ └── Text: "무료 상담 신청하기"
├── H2: [Service Name] 이란? [Problem/Solution Framework]
│ Word Count: 200-300 words
│ Keywords: Primary (1x), LSI (2-3x)
│ ├── H3: 이런 고민이 있으신가요? [Pain Points]
│ │ ├── Pain point 1 (include LSI keyword)
│ │ ├── Pain point 2 (include LSI keyword)
│ │ └── Pain point 3 (include LSI keyword)
│ └── H3: [Clinic Name]의 솔루션 [Benefits]
│ ├── Benefit 1 (address pain point 1)
│ ├── Benefit 2 (address pain point 2)
│ └── Benefit 3 (address pain point 3)
├── H2: [Service Name] 종류 및 방법 [Service Categories]
│ Word Count: 400-500 words total
│ Keywords: Category-specific LSI keywords
│ ├── H3: [Sub-service 1] - [LSI Keyword Variation]
│ │ ├── Description (80-100 words)
│ │ ├── Best for (target audience)
│ │ ├── Duration & Recovery
│ │ └── CTA: "자세히 보기"
│ ├── H3: [Sub-service 2] - [LSI Keyword Variation]
│ │ └── [Same structure as above]
│ └── H3: [Sub-service 3] - [LSI Keyword Variation]
│ └── [Same structure as above]
├── H2: [Clinic Name] [Service Name]만의 차별점 [Trust & Authority]
│ Word Count: 300-400 words
│ Keywords: Brand + Primary keyword combinations
│ ├── H3: 전문 의료진 [Doctor Credentials]
│ │ ├── Doctor profile summary
│ │ ├── Specializations
│ │ └── Certifications
│ ├── H3: 검증된 시술 결과 [Success Metrics]
│ │ ├── Number statistics
│ │ ├── Success rate
│ │ └── Patient satisfaction
│ └── H3: 첨단 장비 및 시설 [Facilities]
│ ├── Equipment descriptions
│ └── Safety protocols
├── H2: [Service Name] 자주 묻는 질문 [FAQ Section]
│ Word Count: 500-700 words
│ Keywords: Long-tail question keywords
│ ├── Q1: [Long-tail keyword as question]?
│ │ └── A: [40-60 word answer, keyword in first sentence]
│ ├── Q2: [Price-related question]?
│ │ └── A: [Include "비용" LSI keyword]
│ ├── Q3: [Recovery-related question]?
│ │ └── A: [Include "회복기간" LSI keyword]
│ ├── Q4: [Side-effect question]?
│ │ └── A: [Include "부작용" LSI keyword]
│ ├── Q5: [Process question]?
│ │ └── A: [Include process-related LSI]
│ ├── Q6: [Candidacy question]?
│ │ └── A: [Include target audience keywords]
│ └── Q7: [Results duration question]?
│ └── A: [Include maintenance keywords]
├── H2: [Service Name] 시술 과정 [Process Guide]
│ Word Count: 300-400 words
│ Keywords: "과정", "단계", procedural LSI
│ ├── H3: 상담 및 검사 [Consultation]
│ ├── H3: 시술 당일 [Procedure Day]
│ ├── H3: 회복 과정 [Recovery]
│ └── H3: 사후 관리 [Aftercare]
├── H2: 실제 고객 후기 [Social Proof]
│ Word Count: 200-300 words
│ Keywords: "후기", "리뷰", satisfaction keywords
│ ├── Review snippet 1
│ ├── Review snippet 2
│ ├── Review snippet 3
│ └── Before/After gallery teaser
└── H2: 상담 예약 안내 [Conversion Section]
Word Count: 150-200 words
Keywords: CTA-related, location keywords
├── H3: 상담 예약 방법
├── H3: 오시는 길
└── H3: 문의 정보
```
## Keyword Density Map
| Section | Primary Keyword | LSI Keywords | Total Keywords |
|---------|----------------|--------------|----------------|
| Hero | 1 | 1-2 | 2-3 |
| Problem/Solution | 1 | 2-3 | 3-4 |
| Service Categories | 1-2 | 4-6 | 5-8 |
| Trust & Authority | 1 | 2-3 | 3-4 |
| FAQ | 2-3 | 5-7 | 7-10 |
| Process | 1 | 2-3 | 3-4 |
| Social Proof | 0-1 | 1-2 | 1-3 |
| Conversion | 1 | 1-2 | 2-3 |
| **Total** | **8-11** | **18-29** | **26-40** |
## Internal Linking Strategy
| From Section | To Page | Anchor Text | Purpose |
|-------------|---------|-------------|---------|
| Service Categories | Sub-service page | [Sub-service name] | Deep dive |
| FAQ | Price page | "비용 안내 페이지" | Conversion |
| Trust section | Doctor profile | "[Doctor name] 원장" | Authority |
| Process section | Consultation form | "상담 예약하기" | Conversion |
| Social proof | Gallery page | "더 많은 전후 사진" | Engagement |
## Content Length Guidelines
- **Total Page Length**: 2,000-2,500 words
- **Above Fold Content**: 100-150 words
- **Each H2 Section**: 200-500 words
- **Each H3 Subsection**: 80-150 words
- **Meta Description**: 150-160 characters
- **Image Alt Text**: 10-15 words each
## Schema Markup Requirements
```json
{
"@context": "https://schema.org",
"@type": "MedicalProcedure",
"name": "[Service Name]",
"description": "[Meta description]",
"procedureType": "Cosmetic",
"provider": {
"@type": "MedicalOrganization",
"name": "[Clinic Name]"
}
}
```
## Mobile Content Adaptation
- Reduce hero text by 30%
- Show 3 FAQs initially (expand for more)
- Simplify navigation to single-column
- Increase CTA button size
- Compress trust signals to carousel

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# Keyword Research Template
## Primary Keyword Analysis
| Metric | Value | Notes |
|--------|-------|-------|
| **Primary Keyword** | [KEYWORD] | Main target keyword |
| **Monthly Search Volume** | [VOLUME] | Average monthly searches |
| **Keyword Difficulty** | [0-100] | Competition score |
| **Current Ranking** | #[POSITION] | Current SERP position |
| **Search Trend** | ↑ ↓ → | Trending direction |
## LSI Keywords Matrix
| LSI Keyword | Search Volume | Intent Type | Priority |
|------------|--------------|-------------|----------|
| [keyword 1] | [volume] | Informational | High |
| [keyword 2] | [volume] | Transactional | Medium |
| [keyword 3] | [volume] | Comparative | High |
| [keyword 4] | [volume] | Informational | Medium |
| [keyword 5] | [volume] | Transactional | Low |
| [keyword 6] | [volume] | Comparative | High |
| [keyword 7] | [volume] | Informational | Medium |
| [keyword 8] | [volume] | Navigational | Low |
| [keyword 9] | [volume] | Transactional | High |
| [keyword 10] | [volume] | Informational | Medium |
## User Intent Distribution
```
Informational (Research Phase): ___%
- Common queries: "what is", "how to", "benefits of"
- Content needed: Educational guides, FAQs, process explanations
Comparative (Evaluation Phase): ___%
- Common queries: "best", "vs", "reviews", "비교"
- Content needed: Comparison tables, reviews, case studies
Transactional (Ready to Convert): ___%
- Common queries: "price", "book", "consultation", "예약"
- Content needed: CTAs, pricing, booking forms
```
## Long-tail Keyword Opportunities
### Question-based Keywords
- [질문 키워드 1]
- [질문 키워드 2]
- [질문 키워드 3]
### Location-based Keywords
- [지역] + [primary keyword]
- [지역] + [primary keyword] + 잘하는곳
- [지역] + [primary keyword] + 추천
### Modifier-based Keywords
- [primary keyword] + 비용
- [primary keyword] + 부작용
- [primary keyword] + 회복기간
- [primary keyword] + 전후
## Competitor Keyword Analysis
| Competitor | Target Keywords | Ranking Keywords | Gap Opportunities |
|------------|----------------|------------------|-------------------|
| Competitor 1 | [keywords] | [keywords] | [missing keywords] |
| Competitor 2 | [keywords] | [keywords] | [missing keywords] |
| Competitor 3 | [keywords] | [keywords] | [missing keywords] |
## Seasonal Trends
| Month | Search Volume | Events/Factors |
|-------|--------------|----------------|
| January | [volume] | New year resolutions |
| February | [volume] | [factor] |
| March | [volume] | [factor] |
| ... | ... | ... |
## Platform-Specific Keywords
### Naver-Optimized
- [네이버 specific keyword 1]
- [네이버 specific keyword 2]
### Google-Optimized
- [Google specific keyword 1]
- [Google specific keyword 2]
## Action Items
- [ ] Target primary keyword in H1 and title tag
- [ ] Include 3-5 LSI keywords naturally in content
- [ ] Create content matching user intent distribution
- [ ] Optimize for question-based featured snippets
- [ ] Add location modifiers for local SEO

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# SEO Technical Checklist Template
## Meta Tags Optimization
### Title Tag
- [ ] Length: 50-60 characters
- [ ] Primary keyword at beginning
- [ ] Brand name at end
- [ ] Unique for each page
- [ ] Formula: `[Primary Keyword] - [Value Proposition] | [Brand]`
**Template**: `{primary_keyword} 전문 - {unique_value} | {clinic_name}`
**Example**: `눈 성형 전문 - 자연스러운 라인 | 제이미클리닉`
### Meta Description
- [ ] Length: 150-160 characters
- [ ] Include primary keyword
- [ ] Include 1-2 LSI keywords
- [ ] Clear CTA
- [ ] Unique for each page
**Template**: `{location} {primary_keyword} 전문의가 {benefit}. {credential}. 무료상담 ☎ {phone}`
**Example**: `강남 눈 성형 전문의가 자연스러운 눈매를 디자인합니다. 15년 경력, 10,000건 시술. 무료상담 ☎ 02-1234-5678`
### Open Graph Tags
```html
<meta property="og:title" content="{page_title}">
<meta property="og:description" content="{meta_description}">
<meta property="og:image" content="{featured_image_url}">
<meta property="og:url" content="{page_url}">
<meta property="og:type" content="website">
<meta property="og:locale" content="ko_KR">
```
## Header Tags Structure
- [ ] Only one H1 per page
- [ ] H1 contains primary keyword
- [ ] H2 tags for main sections (5-7)
- [ ] H3 tags for subsections
- [ ] Logical hierarchy maintained
- [ ] Keywords distributed naturally
## Content Optimization
### Keyword Density
- [ ] Primary keyword: 2-3% (20-30 times per 1000 words)
- [ ] LSI keywords: 1-2% each
- [ ] Natural placement (no stuffing)
- [ ] Synonyms and variations used
### Content Structure
- [ ] First 100 words include primary keyword
- [ ] Short paragraphs (3-4 sentences)
- [ ] Bullet points and lists
- [ ] Bold important keywords (sparingly)
- [ ] Internal links: 5-10
- [ ] External links: 2-3 (authoritative)
## Schema Markup
### Medical Procedure Schema
```json
{
"@context": "https://schema.org",
"@type": "MedicalProcedure",
"name": "{procedure_name}",
"procedureType": "Cosmetic",
"bodyLocation": "{body_part}",
"outcome": "{expected_outcome}",
"preparation": "{preparation_required}",
"followup": "{followup_care}",
"provider": {
"@type": "MedicalOrganization",
"name": "{clinic_name}",
"address": {
"@type": "PostalAddress",
"streetAddress": "{street}",
"addressLocality": "{city}",
"addressCountry": "KR"
}
}
}
```
### FAQ Schema
```json
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "{question}",
"acceptedAnswer": {
"@type": "Answer",
"text": "{answer}"
}
}]
}
```
## Image Optimization
- [ ] Descriptive file names: `eye-surgery-before-after-case1.jpg`
- [ ] Alt text with keywords: `눈 성형 전후 사진 - 30대 여성 사례`
- [ ] Compressed file size (< 200KB)
- [ ] WebP format with fallback
- [ ] Lazy loading implemented
- [ ] Image sitemap created
## Performance Optimization
### Page Speed
- [ ] Load time < 3 seconds
- [ ] First Contentful Paint < 1.8s
- [ ] Time to Interactive < 3.8s
- [ ] Total page size < 3MB
- [ ] Requests minimized (< 50)
### Core Web Vitals
- [ ] LCP (Largest Contentful Paint) < 2.5s
- [ ] FID (First Input Delay) < 100ms
- [ ] CLS (Cumulative Layout Shift) < 0.1
## Mobile Optimization
- [ ] Mobile-responsive design
- [ ] Viewport meta tag set
- [ ] Touch-friendly buttons (44x44px minimum)
- [ ] Readable font size (16px minimum)
- [ ] No horizontal scrolling
- [ ] Mobile page speed < 3s
## URL Structure
- [ ] SEO-friendly URL: `/eye-surgery` or `/눈-성형`
- [ ] No special characters
- [ ] Lowercase only
- [ ] Hyphens for word separation
- [ ] Under 60 characters
- [ ] Include primary keyword
## Internal Linking
| From Page | To Page | Anchor Text | Purpose |
|-----------|---------|-------------|---------|
| Gateway | Service Detail | {service_name} | Deep content |
| Gateway | Doctor Profile | {doctor_name} 원장 | Authority |
| Gateway | Pricing | 비용 안내 | Conversion |
| Gateway | Gallery | 시술 전후 사진 | Engagement |
| Gateway | Contact | 상담 예약 | Conversion |
## Naver-Specific Optimization
### Naver Webmaster Tools
- [ ] Site verification complete
- [ ] XML sitemap submitted
- [ ] Robots.txt configured
- [ ] Syndication feed active
- [ ] Site optimization report reviewed
### Naver SEO Elements
- [ ] Title under 30 Korean characters
- [ ] C-Rank tags implemented
- [ ] Image-to-text ratio optimized (40:60)
- [ ] Outbound links minimized
- [ ] Brand search optimization
## Tracking & Analytics
- [ ] Google Analytics 4 installed
- [ ] Google Search Console verified
- [ ] Naver Analytics installed
- [ ] Conversion tracking configured
- [ ] Event tracking for CTAs
- [ ] Heatmap tool installed
## Security & Technical
- [ ] SSL certificate active (HTTPS)
- [ ] WWW/non-WWW redirect configured
- [ ] 404 error page customized
- [ ] XML sitemap generated
- [ ] Robots.txt optimized
- [ ] Canonical URLs set
- [ ] Hreflang tags (if multi-language)
## Quality Checks
### Content Quality
- [ ] No spelling/grammar errors
- [ ] Medical information accurate
- [ ] Legal compliance verified
- [ ] Contact information correct
- [ ] CTAs working properly
### Cross-browser Testing
- [ ] Chrome (Desktop/Mobile)
- [ ] Safari (Desktop/Mobile)
- [ ] Firefox
- [ ] Samsung Internet
- [ ] Naver Whale
## Monthly Monitoring Tasks
- [ ] Keyword ranking check
- [ ] Organic traffic analysis
- [ ] Bounce rate monitoring
- [ ] Conversion rate tracking
- [ ] Competitor analysis
- [ ] Content freshness update
- [ ] Broken link check
- [ ] Page speed test
## Priority Levels
1. **Critical (Day 1)**
- Title and meta tags
- H1 optimization
- Mobile responsiveness
- Page speed < 4s
2. **High (Week 1)**
- Schema markup
- Internal linking
- Image optimization
- Content optimization
3. **Medium (Week 2-3)**
- Naver optimization
- FAQ implementation
- Social proof elements
- Analytics setup
4. **Low (Month 2)**
- A/B testing
- Advanced schema
- Link building
- Content expansion

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---
name: seo-gateway-architect
description: |
Gateway page strategy planner for keyword research, content architecture, and SEO KPIs.
Triggers: SEO strategy, gateway pages, keyword research, content architecture.
---
# SEO Gateway Page Strategist
This skill helps you create comprehensive SEO-focused gateway page strategies for Korean medical/service websites, optimized for both Naver and Google.
## Core Competencies
1. **Keyword Research & Analysis**: Identifies primary and LSI keywords with search intent mapping
2. **Content Architecture**: Creates hierarchical page structure optimized for SEO
3. **Technical SEO Planning**: Defines specific technical requirements and meta optimizations
4. **Performance Targeting**: Sets measurable KPIs and tracking methodologies
5. **Competitor Analysis**: Analyzes top-ranking competitors for gap identification
## When to Use This Skill
Use this skill when:
- Planning a new gateway page for any service/procedure category
- Restructuring existing pages for better SEO performance
- Conducting keyword research for content planning
- Setting SEO performance targets and KPIs
- Analyzing competitor strategies
## Instructions
When using this skill, provide:
1. **Service/Procedure Name**: The main topic for the gateway page (e.g., "눈 성형", "이마 성형")
2. **Target Market**: Location and demographic information
3. **Current Performance** (optional): Existing rankings, traffic data if available
4. **Competitor URLs** (optional): Known competitors to analyze
## Process Workflow
### Step 1: Keyword & Intent Analysis
```python
# The skill will generate:
- Primary keyword with monthly search volume
- 7-10 LSI (Latent Semantic Indexing) keywords
- User intent distribution (Informational/Comparative/Transactional)
- Top 3 competitor analysis
```
### Step 2: Content Architecture
The skill creates a complete H1-H3 structure with keyword placement strategy:
```
H1: [Primary keyword-optimized headline]
├── Hero Section
├── Problem/Solution Framework
├── Service Categories
├── Trust & Authority
├── FAQ Section
└── Consultation Guide
```
### Step 3: Technical SEO Requirements
Generates specific technical specifications:
- Meta tags formulas and character limits
- Schema markup recommendations
- Internal linking strategy
- Image optimization guidelines
- Core Web Vitals targets
### Step 4: Performance Metrics
Sets 30/60/90-day KPIs with tracking methodology
## Example Usage
### Basic Request:
```
"Create an SEO gateway page strategy for 눈 성형"
```
### Detailed Request:
```
"Create an SEO gateway page strategy for 눈 성형 targeting women aged 25-45 in Gangnam.
Current ranking: page 2 for main keyword.
Competitor: www.example-clinic.com/eye-surgery"
```
## Output Format
The skill delivers a structured report containing:
1. **Keyword Strategy Table**
- Primary and LSI keywords with search volumes
- User intent percentages
- Competitor gap analysis
2. **Content Architecture Document**
- Complete page hierarchy (H1-H3)
- Word count targets per section
- Keyword placement map
3. **Technical SEO Checklist**
- Meta tag templates
- Schema markup code
- Performance requirements
4. **Performance Dashboard**
- Current baseline metrics
- Target KPIs with timeline
- Tracking methodology
## Templates Included
- `keyword-research-template.md`: Keyword analysis worksheet
- `content-architecture-template.md`: Page structure template
- `seo-checklist-template.md`: Technical SEO requirements
- `performance-tracking-template.md`: KPI tracking sheet
## Scripts Included
- `keyword_analyzer.py`: Automates keyword research and intent analysis
- `competitor_analyzer.py`: Scrapes and analyzes competitor pages
- `seo_scorer.py`: Calculates SEO optimization score
## Best Practices
1. **Mobile-First Approach**: Always optimize for mobile (70%+ traffic in Korea)
2. **Naver vs Google**: Consider platform-specific optimization differences
3. **Local SEO**: Include location modifiers for local intent
4. **Medical Compliance**: Ensure content meets Korean medical advertising regulations
5. **User Intent Matching**: Align content with search intent distribution
## Common Patterns
### For Medical Services:
```
Primary: [시술명]
LSI: [시술명 비용], [시술명 부작용], [시술명 회복기간], [시술명 전후]
Intent: 60% Informational, 30% Comparative, 10% Transactional
```
### For Local Services:
```
Primary: [지역] [서비스명]
LSI: [지역] [서비스명] 추천, [지역] [서비스명] 잘하는곳, [지역] [서비스명] 가격
Intent: 40% Informational, 40% Comparative, 20% Transactional
```
## Integration Points
This skill integrates with:
- Google Search Console for current performance data
- Naver Webmaster Tools for Naver-specific metrics
- Analytics platforms for user behavior data
- Keyword research tools APIs
## Notes
- Always validate keyword search volumes with actual tools
- Consider seasonal trends in search behavior
- Update strategy based on algorithm changes
- Monitor competitor movements regularly
## Notion Output (Required)
All audit reports MUST be saved to OurDigital SEO Audit Log:
- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
- **Properties**: Issue (title), Site (url), Category, Priority, Found Date, Audit ID
- **Language**: Korean with English technical terms
- **Audit ID Format**: [TYPE]-YYYYMMDD-NNN

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# SEO Gateway Page Strategy: 눈 성형
**Generated by SEO Gateway Page Strategist Skill**
**Date:** 2024-12-28
**Target Market:** Gangnam, Seoul - Women 25-45
---
## 1. Keyword Strategy Analysis
### Primary Keyword Research
| Metric | Value | Analysis |
|--------|-------|----------|
| **Primary Keyword** | 눈 성형 | High-volume medical keyword |
| **Monthly Search Volume** | 12,000 | Excellent traffic potential |
| **Keyword Difficulty** | 65/100 | Moderate-high competition |
| **CPC** | ₩2,500 | High commercial intent |
| **Trend** | ↑ 15% YoY | Growing interest |
### LSI Keywords Matrix
| LSI Keyword | Monthly Volume | Intent Type | Implementation Priority |
|------------|---------------|-------------|------------------------|
| 쌍꺼풀 수술 | 8,000 | Transactional | High - Sub-category page |
| 눈매교정 | 5,500 | Informational | High - Sub-category page |
| 앞트임 | 4,000 | Informational | High - Sub-category page |
| 뒤트임 | 3,500 | Informational | Medium - Sub-category |
| 눈 성형 비용 | 2,000 | Comparative | High - FAQ section |
| 눈 성형 부작용 | 1,500 | Informational | High - FAQ section |
| 눈 성형 회복기간 | 1,800 | Informational | High - Process section |
| 눈 성형 전후 | 3,000 | Comparative | High - Gallery section |
| 강남 눈 성형 | 2,200 | Local | High - Hero/title |
| 눈 성형 잘하는곳 | 2,200 | Comparative | High - Trust section |
### User Intent Distribution
```
Informational (Research): 55%
- Users researching procedures, risks, recovery
- Content needed: Educational guides, process explanations, FAQs
Comparative (Evaluation): 35%
- Users comparing clinics, prices, results
- Content needed: Before/after gallery, reviews, differentiators
Transactional (Booking): 10%
- Users ready to book consultation
- Content needed: Clear CTAs, contact forms, pricing info
```
### Competitor Analysis
| Competitor | Domain Authority | Target Keywords | Content Gap Opportunities |
|-----------|-----------------|-----------------|--------------------------|
| Competitor A | 45 | 눈 성형, 쌍꺼풀 | Lacks detailed recovery guide |
| Competitor B | 52 | 강남 눈 성형 | No video content |
| Competitor C | 38 | 눈 성형 비용 | Limited trust signals |
---
## 2. Content Architecture
```
H1: 강남 눈 성형 전문의가 디자인하는 자연스러운 눈매
├── Hero Section [100-150 words]
│ ├── Value Proposition: "15년 경력 전문의가 만드는 당신만의 아름다운 눈매"
│ ├── Trust Signals:
│ │ • 보건복지부 인증 의료기관
│ │ • 10,000+ 성공 사례
│ │ • 대한성형외과학회 정회원
│ │ • 2024 의료서비스 대상 수상
│ └── Primary CTA: "무료 상담 신청하기"
├── H2: 눈 성형, 이런 고민이 있으신가요? [200-250 words]
│ ├── H3: 작고 답답한 눈매로 인한 스트레스
│ ├── H3: 나이들어 보이는 처진 눈꺼풀
│ └── H3: 좌우 비대칭으로 인한 불균형
├── H2: 제이미클리닉 눈 성형 종류 [400-500 words]
│ ├── H3: 자연스러운 쌍꺼풀 성형 - 매몰법 & 절개법
│ │ ├── Description (100 words)
│ │ ├── 시술시간: 30-60분
│ │ ├── 회복기간: 5-10일
│ │ └── CTA: "쌍꺼풀 자세히 보기"
│ │
│ ├── H3: 또렷한 눈매교정술
│ │ ├── Description (100 words)
│ │ ├── 시술시간: 45분
│ │ ├── 회복기간: 7일
│ │ └── CTA: "눈매교정 자세히 보기"
│ │
│ ├── H3: 시원한 앞트임 & 뒤트임
│ │ ├── Description (100 words)
│ │ ├── 시술시간: 30-45분
│ │ ├── 회복기간: 5-7일
│ │ └── CTA: "트임 수술 자세히 보기"
│ │
│ └── H3: 상안검 & 하안검 성형
│ ├── Description (100 words)
│ ├── 시술시간: 60-90분
│ ├── 회복기간: 10-14일
│ └── CTA: "안검 성형 자세히 보기"
├── H2: 제이미클리닉만의 차별점 [300-350 words]
│ ├── H3: 전문 의료진의 노하우
│ ├── H3: 1:1 맞춤 디자인 시스템
│ └── H3: 최신 장비와 안전 시스템
├── H2: 눈 성형 자주 묻는 질문 (FAQ) [500-600 words]
│ ├── Q: 눈 성형 비용은 얼마인가요?
│ ├── Q: 눈 성형 회복기간은 얼마나 걸리나요?
│ ├── Q: 눈 성형 부작용은 없나요?
│ ├── Q: 쌍꺼풀 라인은 어떻게 결정하나요?
│ ├── Q: 재수술도 가능한가요?
│ ├── Q: 나이 제한이 있나요?
│ └── Q: 수술 후 일상생활은 언제부터 가능한가요?
├── H2: 눈 성형 시술 과정 [250-300 words]
│ ├── H3: STEP 1. 1:1 맞춤 상담
│ ├── H3: STEP 2. 정밀 검사 및 디자인
│ ├── H3: STEP 3. 안전한 수술 진행
│ └── H3: STEP 4. 체계적인 사후 관리
├── H2: 실제 고객 후기 및 전후 사진 [200-250 words]
│ ├── Review snippets (3-5)
│ ├── Before/After gallery teaser
│ └── CTA: "더 많은 후기 보기"
└── H2: 상담 예약 안내 [150-200 words]
├── H3: 온라인 상담 예약
├── H3: 오시는 길
└── H3: 문의: 02-1234-5678
```
---
## 3. Technical SEO Requirements
### Meta Tags
```html
<title>강남 눈 성형 전문 - 자연스러운 눈매 디자인 | 제이미클리닉</title>
<meta name="description" content="강남 눈 성형 15년 전문의가 만드는 자연스러운 눈매. 쌍꺼풀, 눈매교정, 트임 수술 10,000건 이상. 무료상담 ☎ 02-1234-5678">
<meta name="keywords" content="눈 성형, 강남 눈 성형, 쌍꺼풀 수술, 눈매교정, 앞트임, 뒤트임">
```
### Schema Markup
```json
{
"@context": "https://schema.org",
"@type": "MedicalProcedure",
"name": "눈 성형",
"procedureType": "Cosmetic",
"bodyLocation": "Eye",
"outcome": "Enhanced eye appearance with natural-looking results",
"preparation": "Consultation and design planning required",
"followup": "Regular check-ups for 3 months",
"provider": {
"@type": "MedicalOrganization",
"name": "제이미클리닉",
"address": {
"@type": "PostalAddress",
"streetAddress": "테헤란로 123",
"addressLocality": "강남구",
"addressRegion": "서울특별시",
"addressCountry": "KR"
},
"telephone": "+82-2-1234-5678"
}
}
```
### Internal Linking Strategy
| From Section | To Page | Anchor Text | Priority |
|-------------|---------|-------------|----------|
| 쌍꺼풀 section | /double-eyelid | "쌍꺼풀 자세히 보기" | High |
| FAQ 비용 | /pricing | "자세한 비용 안내" | High |
| 의료진 section | /doctors | "전문의 프로필 보기" | Medium |
| 후기 section | /reviews | "더 많은 후기 보기" | Medium |
| 상담 section | /consultation | "온라인 상담 신청" | High |
### Performance Targets
- Page Load Speed: < 2.5 seconds
- Mobile Score: > 95/100
- Core Web Vitals: All green
- Image Optimization: WebP format, < 150KB each
---
## 4. Performance KPIs & Tracking
### 30-Day Targets
| Metric | Current | 30-Day Target | Measurement Tool |
|--------|---------|---------------|------------------|
| Primary Keyword Ranking | #8 | #5 | Search Console |
| Organic Traffic | 500/month | 750/month | GA4 |
| Bounce Rate | 65% | 55% | GA4 |
| Avg. Time on Page | 1:30 | 2:30 | GA4 |
| Conversion Rate | 1.5% | 2.5% | GA4 Goals |
### 60-Day Targets
| Metric | Target | Strategy |
|--------|--------|----------|
| Primary Keyword Ranking | #3 | Content expansion + backlinks |
| Organic Traffic | 1,200/month | Long-tail optimization |
| Featured Snippets | 2+ | FAQ schema implementation |
| Page Authority | 25+ | Link building campaign |
### 90-Day Targets
| Metric | Target | Success Indicator |
|--------|--------|-------------------|
| Primary Keyword Ranking | #1-3 | Page 1 dominant position |
| Organic Traffic | 2,000/month | 300% increase |
| Conversion Rate | 3-5% | Industry-leading performance |
| Revenue Attribution | ₩50M+ | Positive ROI |
---
## 5. Implementation Roadmap
### Week 1: Foundation
- [ ] Implement title and meta tags
- [ ] Create H1 and basic structure
- [ ] Optimize hero section
- [ ] Set up tracking codes
### Week 2: Content Development
- [ ] Write all H2 sections
- [ ] Create FAQ content
- [ ] Develop procedure descriptions
- [ ] Add trust signals
### Week 3: Technical Optimization
- [ ] Implement schema markup
- [ ] Optimize images
- [ ] Set up internal linking
- [ ] Mobile optimization
### Week 4: Enhancement
- [ ] Add reviews and testimonials
- [ ] Create before/after gallery
- [ ] Implement CTA variations
- [ ] A/B testing setup
### Month 2-3: Growth
- [ ] Content expansion based on data
- [ ] Link building outreach
- [ ] Naver optimization
- [ ] Conversion rate optimization
---
## 6. Strategic Recommendations
### High Priority Actions
1. **Content Depth**: Create comprehensive 2,500+ word content to outrank competitors
2. **E-A-T Signals**: Emphasize doctor credentials and certifications prominently
3. **Local SEO**: Optimize for "강남 눈 성형" with location-specific content
4. **Mobile UX**: Ensure thumb-friendly CTAs and fast mobile load times
### Quick Wins (Implement Immediately)
1. Add FAQ schema markup for featured snippets
2. Compress and optimize all images
3. Add trust badges above fold
4. Implement click-to-call for mobile
5. Create location-specific landing pages
### Long-term Strategy
1. Build topical authority with supporting content
2. Develop video content for higher engagement
3. Create interactive tools (virtual consultation)
4. Establish thought leadership through blog
5. Implement review generation system
---
## Notes for Implementation
- **Legal Compliance**: Ensure all medical claims are verified and compliant with KFDA regulations
- **Image Rights**: Use only authorized before/after photos with patient consent
- **Pricing Display**: Follow Korean medical advertising laws regarding price disclosure
- **Mobile First**: With 70% mobile traffic, prioritize mobile experience in all decisions
- **Naver Specific**: Create separate content strategy for Naver Blog integration
---
**End of Strategy Document**
*Generated by SEO Gateway Page Strategist Skill v1.0*

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# Skill metadata (extracted from SKILL.md frontmatter)
name: seo-gateway-strategist
description: |
Creates comprehensive SEO-focused gateway page strategies for Korean medical/service websites
# Optional fields
license: OurDigital internal-use ONLY
# triggers: [] # TODO: Extract from description

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# Content Architecture Template
## Page Hierarchy Structure
```
[Page URL: /service-name]
├── H1: [Primary Keyword-Optimized Headline]
│ Example: "강남 눈 성형 전문의가 만드는 자연스러운 눈매"
│ Word Count Target: 15-25 characters
│ Keyword Placement: Primary keyword at beginning
├── Hero Section [Above Fold]
│ ├── Value Proposition (30-50 words)
│ │ └── Keywords: Primary + 1 LSI
│ ├── Trust Signals (3-5 items)
│ │ ├── Certification badges
│ │ ├── Years of experience
│ │ └── Success cases number
│ └── Primary CTA
│ └── Text: "무료 상담 신청하기"
├── H2: [Service Name] 이란? [Problem/Solution Framework]
│ Word Count: 200-300 words
│ Keywords: Primary (1x), LSI (2-3x)
│ ├── H3: 이런 고민이 있으신가요? [Pain Points]
│ │ ├── Pain point 1 (include LSI keyword)
│ │ ├── Pain point 2 (include LSI keyword)
│ │ └── Pain point 3 (include LSI keyword)
│ └── H3: [Clinic Name]의 솔루션 [Benefits]
│ ├── Benefit 1 (address pain point 1)
│ ├── Benefit 2 (address pain point 2)
│ └── Benefit 3 (address pain point 3)
├── H2: [Service Name] 종류 및 방법 [Service Categories]
│ Word Count: 400-500 words total
│ Keywords: Category-specific LSI keywords
│ ├── H3: [Sub-service 1] - [LSI Keyword Variation]
│ │ ├── Description (80-100 words)
│ │ ├── Best for (target audience)
│ │ ├── Duration & Recovery
│ │ └── CTA: "자세히 보기"
│ ├── H3: [Sub-service 2] - [LSI Keyword Variation]
│ │ └── [Same structure as above]
│ └── H3: [Sub-service 3] - [LSI Keyword Variation]
│ └── [Same structure as above]
├── H2: [Clinic Name] [Service Name]만의 차별점 [Trust & Authority]
│ Word Count: 300-400 words
│ Keywords: Brand + Primary keyword combinations
│ ├── H3: 전문 의료진 [Doctor Credentials]
│ │ ├── Doctor profile summary
│ │ ├── Specializations
│ │ └── Certifications
│ ├── H3: 검증된 시술 결과 [Success Metrics]
│ │ ├── Number statistics
│ │ ├── Success rate
│ │ └── Patient satisfaction
│ └── H3: 첨단 장비 및 시설 [Facilities]
│ ├── Equipment descriptions
│ └── Safety protocols
├── H2: [Service Name] 자주 묻는 질문 [FAQ Section]
│ Word Count: 500-700 words
│ Keywords: Long-tail question keywords
│ ├── Q1: [Long-tail keyword as question]?
│ │ └── A: [40-60 word answer, keyword in first sentence]
│ ├── Q2: [Price-related question]?
│ │ └── A: [Include "비용" LSI keyword]
│ ├── Q3: [Recovery-related question]?
│ │ └── A: [Include "회복기간" LSI keyword]
│ ├── Q4: [Side-effect question]?
│ │ └── A: [Include "부작용" LSI keyword]
│ ├── Q5: [Process question]?
│ │ └── A: [Include process-related LSI]
│ ├── Q6: [Candidacy question]?
│ │ └── A: [Include target audience keywords]
│ └── Q7: [Results duration question]?
│ └── A: [Include maintenance keywords]
├── H2: [Service Name] 시술 과정 [Process Guide]
│ Word Count: 300-400 words
│ Keywords: "과정", "단계", procedural LSI
│ ├── H3: 상담 및 검사 [Consultation]
│ ├── H3: 시술 당일 [Procedure Day]
│ ├── H3: 회복 과정 [Recovery]
│ └── H3: 사후 관리 [Aftercare]
├── H2: 실제 고객 후기 [Social Proof]
│ Word Count: 200-300 words
│ Keywords: "후기", "리뷰", satisfaction keywords
│ ├── Review snippet 1
│ ├── Review snippet 2
│ ├── Review snippet 3
│ └── Before/After gallery teaser
└── H2: 상담 예약 안내 [Conversion Section]
Word Count: 150-200 words
Keywords: CTA-related, location keywords
├── H3: 상담 예약 방법
├── H3: 오시는 길
└── H3: 문의 정보
```
## Keyword Density Map
| Section | Primary Keyword | LSI Keywords | Total Keywords |
|---------|----------------|--------------|----------------|
| Hero | 1 | 1-2 | 2-3 |
| Problem/Solution | 1 | 2-3 | 3-4 |
| Service Categories | 1-2 | 4-6 | 5-8 |
| Trust & Authority | 1 | 2-3 | 3-4 |
| FAQ | 2-3 | 5-7 | 7-10 |
| Process | 1 | 2-3 | 3-4 |
| Social Proof | 0-1 | 1-2 | 1-3 |
| Conversion | 1 | 1-2 | 2-3 |
| **Total** | **8-11** | **18-29** | **26-40** |
## Internal Linking Strategy
| From Section | To Page | Anchor Text | Purpose |
|-------------|---------|-------------|---------|
| Service Categories | Sub-service page | [Sub-service name] | Deep dive |
| FAQ | Price page | "비용 안내 페이지" | Conversion |
| Trust section | Doctor profile | "[Doctor name] 원장" | Authority |
| Process section | Consultation form | "상담 예약하기" | Conversion |
| Social proof | Gallery page | "더 많은 전후 사진" | Engagement |
## Content Length Guidelines
- **Total Page Length**: 2,000-2,500 words
- **Above Fold Content**: 100-150 words
- **Each H2 Section**: 200-500 words
- **Each H3 Subsection**: 80-150 words
- **Meta Description**: 150-160 characters
- **Image Alt Text**: 10-15 words each
## Schema Markup Requirements
```json
{
"@context": "https://schema.org",
"@type": "MedicalProcedure",
"name": "[Service Name]",
"description": "[Meta description]",
"procedureType": "Cosmetic",
"provider": {
"@type": "MedicalOrganization",
"name": "[Clinic Name]"
}
}
```
## Mobile Content Adaptation
- Reduce hero text by 30%
- Show 3 FAQs initially (expand for more)
- Simplify navigation to single-column
- Increase CTA button size
- Compress trust signals to carousel

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# Keyword Research Template
## Primary Keyword Analysis
| Metric | Value | Notes |
|--------|-------|-------|
| **Primary Keyword** | [KEYWORD] | Main target keyword |
| **Monthly Search Volume** | [VOLUME] | Average monthly searches |
| **Keyword Difficulty** | [0-100] | Competition score |
| **Current Ranking** | #[POSITION] | Current SERP position |
| **Search Trend** | ↑ ↓ → | Trending direction |
## LSI Keywords Matrix
| LSI Keyword | Search Volume | Intent Type | Priority |
|------------|--------------|-------------|----------|
| [keyword 1] | [volume] | Informational | High |
| [keyword 2] | [volume] | Transactional | Medium |
| [keyword 3] | [volume] | Comparative | High |
| [keyword 4] | [volume] | Informational | Medium |
| [keyword 5] | [volume] | Transactional | Low |
| [keyword 6] | [volume] | Comparative | High |
| [keyword 7] | [volume] | Informational | Medium |
| [keyword 8] | [volume] | Navigational | Low |
| [keyword 9] | [volume] | Transactional | High |
| [keyword 10] | [volume] | Informational | Medium |
## User Intent Distribution
```
Informational (Research Phase): ___%
- Common queries: "what is", "how to", "benefits of"
- Content needed: Educational guides, FAQs, process explanations
Comparative (Evaluation Phase): ___%
- Common queries: "best", "vs", "reviews", "비교"
- Content needed: Comparison tables, reviews, case studies
Transactional (Ready to Convert): ___%
- Common queries: "price", "book", "consultation", "예약"
- Content needed: CTAs, pricing, booking forms
```
## Long-tail Keyword Opportunities
### Question-based Keywords
- [질문 키워드 1]
- [질문 키워드 2]
- [질문 키워드 3]
### Location-based Keywords
- [지역] + [primary keyword]
- [지역] + [primary keyword] + 잘하는곳
- [지역] + [primary keyword] + 추천
### Modifier-based Keywords
- [primary keyword] + 비용
- [primary keyword] + 부작용
- [primary keyword] + 회복기간
- [primary keyword] + 전후
## Competitor Keyword Analysis
| Competitor | Target Keywords | Ranking Keywords | Gap Opportunities |
|------------|----------------|------------------|-------------------|
| Competitor 1 | [keywords] | [keywords] | [missing keywords] |
| Competitor 2 | [keywords] | [keywords] | [missing keywords] |
| Competitor 3 | [keywords] | [keywords] | [missing keywords] |
## Seasonal Trends
| Month | Search Volume | Events/Factors |
|-------|--------------|----------------|
| January | [volume] | New year resolutions |
| February | [volume] | [factor] |
| March | [volume] | [factor] |
| ... | ... | ... |
## Platform-Specific Keywords
### Naver-Optimized
- [네이버 specific keyword 1]
- [네이버 specific keyword 2]
### Google-Optimized
- [Google specific keyword 1]
- [Google specific keyword 2]
## Action Items
- [ ] Target primary keyword in H1 and title tag
- [ ] Include 3-5 LSI keywords naturally in content
- [ ] Create content matching user intent distribution
- [ ] Optimize for question-based featured snippets
- [ ] Add location modifiers for local SEO

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# SEO Technical Checklist Template
## Meta Tags Optimization
### Title Tag
- [ ] Length: 50-60 characters
- [ ] Primary keyword at beginning
- [ ] Brand name at end
- [ ] Unique for each page
- [ ] Formula: `[Primary Keyword] - [Value Proposition] | [Brand]`
**Template**: `{primary_keyword} 전문 - {unique_value} | {clinic_name}`
**Example**: `눈 성형 전문 - 자연스러운 라인 | 제이미클리닉`
### Meta Description
- [ ] Length: 150-160 characters
- [ ] Include primary keyword
- [ ] Include 1-2 LSI keywords
- [ ] Clear CTA
- [ ] Unique for each page
**Template**: `{location} {primary_keyword} 전문의가 {benefit}. {credential}. 무료상담 ☎ {phone}`
**Example**: `강남 눈 성형 전문의가 자연스러운 눈매를 디자인합니다. 15년 경력, 10,000건 시술. 무료상담 ☎ 02-1234-5678`
### Open Graph Tags
```html
<meta property="og:title" content="{page_title}">
<meta property="og:description" content="{meta_description}">
<meta property="og:image" content="{featured_image_url}">
<meta property="og:url" content="{page_url}">
<meta property="og:type" content="website">
<meta property="og:locale" content="ko_KR">
```
## Header Tags Structure
- [ ] Only one H1 per page
- [ ] H1 contains primary keyword
- [ ] H2 tags for main sections (5-7)
- [ ] H3 tags for subsections
- [ ] Logical hierarchy maintained
- [ ] Keywords distributed naturally
## Content Optimization
### Keyword Density
- [ ] Primary keyword: 2-3% (20-30 times per 1000 words)
- [ ] LSI keywords: 1-2% each
- [ ] Natural placement (no stuffing)
- [ ] Synonyms and variations used
### Content Structure
- [ ] First 100 words include primary keyword
- [ ] Short paragraphs (3-4 sentences)
- [ ] Bullet points and lists
- [ ] Bold important keywords (sparingly)
- [ ] Internal links: 5-10
- [ ] External links: 2-3 (authoritative)
## Schema Markup
### Medical Procedure Schema
```json
{
"@context": "https://schema.org",
"@type": "MedicalProcedure",
"name": "{procedure_name}",
"procedureType": "Cosmetic",
"bodyLocation": "{body_part}",
"outcome": "{expected_outcome}",
"preparation": "{preparation_required}",
"followup": "{followup_care}",
"provider": {
"@type": "MedicalOrganization",
"name": "{clinic_name}",
"address": {
"@type": "PostalAddress",
"streetAddress": "{street}",
"addressLocality": "{city}",
"addressCountry": "KR"
}
}
}
```
### FAQ Schema
```json
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "{question}",
"acceptedAnswer": {
"@type": "Answer",
"text": "{answer}"
}
}]
}
```
## Image Optimization
- [ ] Descriptive file names: `eye-surgery-before-after-case1.jpg`
- [ ] Alt text with keywords: `눈 성형 전후 사진 - 30대 여성 사례`
- [ ] Compressed file size (< 200KB)
- [ ] WebP format with fallback
- [ ] Lazy loading implemented
- [ ] Image sitemap created
## Performance Optimization
### Page Speed
- [ ] Load time < 3 seconds
- [ ] First Contentful Paint < 1.8s
- [ ] Time to Interactive < 3.8s
- [ ] Total page size < 3MB
- [ ] Requests minimized (< 50)
### Core Web Vitals
- [ ] LCP (Largest Contentful Paint) < 2.5s
- [ ] FID (First Input Delay) < 100ms
- [ ] CLS (Cumulative Layout Shift) < 0.1
## Mobile Optimization
- [ ] Mobile-responsive design
- [ ] Viewport meta tag set
- [ ] Touch-friendly buttons (44x44px minimum)
- [ ] Readable font size (16px minimum)
- [ ] No horizontal scrolling
- [ ] Mobile page speed < 3s
## URL Structure
- [ ] SEO-friendly URL: `/eye-surgery` or `/눈-성형`
- [ ] No special characters
- [ ] Lowercase only
- [ ] Hyphens for word separation
- [ ] Under 60 characters
- [ ] Include primary keyword
## Internal Linking
| From Page | To Page | Anchor Text | Purpose |
|-----------|---------|-------------|---------|
| Gateway | Service Detail | {service_name} | Deep content |
| Gateway | Doctor Profile | {doctor_name} 원장 | Authority |
| Gateway | Pricing | 비용 안내 | Conversion |
| Gateway | Gallery | 시술 전후 사진 | Engagement |
| Gateway | Contact | 상담 예약 | Conversion |
## Naver-Specific Optimization
### Naver Webmaster Tools
- [ ] Site verification complete
- [ ] XML sitemap submitted
- [ ] Robots.txt configured
- [ ] Syndication feed active
- [ ] Site optimization report reviewed
### Naver SEO Elements
- [ ] Title under 30 Korean characters
- [ ] C-Rank tags implemented
- [ ] Image-to-text ratio optimized (40:60)
- [ ] Outbound links minimized
- [ ] Brand search optimization
## Tracking & Analytics
- [ ] Google Analytics 4 installed
- [ ] Google Search Console verified
- [ ] Naver Analytics installed
- [ ] Conversion tracking configured
- [ ] Event tracking for CTAs
- [ ] Heatmap tool installed
## Security & Technical
- [ ] SSL certificate active (HTTPS)
- [ ] WWW/non-WWW redirect configured
- [ ] 404 error page customized
- [ ] XML sitemap generated
- [ ] Robots.txt optimized
- [ ] Canonical URLs set
- [ ] Hreflang tags (if multi-language)
## Quality Checks
### Content Quality
- [ ] No spelling/grammar errors
- [ ] Medical information accurate
- [ ] Legal compliance verified
- [ ] Contact information correct
- [ ] CTAs working properly
### Cross-browser Testing
- [ ] Chrome (Desktop/Mobile)
- [ ] Safari (Desktop/Mobile)
- [ ] Firefox
- [ ] Samsung Internet
- [ ] Naver Whale
## Monthly Monitoring Tasks
- [ ] Keyword ranking check
- [ ] Organic traffic analysis
- [ ] Bounce rate monitoring
- [ ] Conversion rate tracking
- [ ] Competitor analysis
- [ ] Content freshness update
- [ ] Broken link check
- [ ] Page speed test
## Priority Levels
1. **Critical (Day 1)**
- Title and meta tags
- H1 optimization
- Mobile responsiveness
- Page speed < 4s
2. **High (Week 1)**
- Schema markup
- Internal linking
- Image optimization
- Content optimization
3. **Medium (Week 2-3)**
- Naver optimization
- FAQ implementation
- Social proof elements
- Analytics setup
4. **Low (Month 2)**
- A/B testing
- Advanced schema
- Link building
- Content expansion