---
name: seo-content-strategy
description: |
  Content strategy and planning for SEO. Triggers: content audit, content strategy, content gap, topic clusters, content brief, editorial calendar, content decay, 콘텐츠 전략, 콘텐츠 감사.
---

# SEO Content Strategy

## Purpose

Audit existing content performance, identify topic gaps vs competitors, map topic clusters, detect content decay, and generate SEO content briefs. Supports Korean content patterns (Naver Blog format, 후기/review content, 추천 listicles).

## Core Capabilities

1. **Content Audit** - Inventory, performance scoring, decay detection
2. **Content Gap Analysis** - Topic gaps vs competitors, cluster mapping
3. **Content Brief Generation** - Outlines, keywords, word count targets
4. **Editorial Calendar** - Prioritized content creation schedule
5. **Korean Content Patterns** - Naver Blog style, 후기, 추천 format analysis

## MCP Tool Usage

### SEO Data
```
our-seo-agent CLI: Primary content/traffic data source (future); use --input for pre-fetched JSON
WebSearch / WebFetch: Supplementary content data
```

### WebSearch for Content Research
```
WebSearch: Research content topics and competitor strategies
WebFetch: Analyze competitor page content and structure
```

### Notion for Report Storage
```
notion-create-pages: Save audit reports to SEO Audit Log
```

## Workflow

### 1. Content Audit
1. Crawl sitemap to discover all content URLs
2. Fetch top pages data via our-seo-agent CLI, pre-fetched JSON, or WebSearch
3. Classify content types (blog, product, service, landing, resource)
4. Score each page performance (0-100 composite)
5. Detect decaying content (traffic decline patterns)
6. Analyze freshness distribution (fresh/aging/stale)
7. Identify Korean content patterns (후기, 추천, 방법 formats)
8. Generate recommendations

### 2. Content Gap Analysis
1. Gather target site keywords via our-seo-agent CLI or pre-fetched data
2. Gather competitor top pages and keywords
3. Identify topics present in competitors but missing from target
4. Score gaps by priority (traffic potential + competition coverage)
5. Build topic clusters using TF-IDF + hierarchical clustering
6. Generate editorial calendar with priority and dates
7. Detect Korean market content opportunities

### 3. Content Brief Generation
1. Analyze top 5-10 ranking pages for target keyword
2. Extract headings, word counts, content features (FAQ, images, video)
3. Build recommended H2/H3 outline from competitor patterns
4. Suggest primary, secondary, and LSI keywords
5. Calculate target word count (avg of top 5 +/- 20%)
6. Find internal linking opportunities on the target site
7. Detect search intent (informational, commercial, transactional, navigational)
8. Add Korean format recommendations based on intent

## Output Format

```markdown
## Content Audit: [domain]

### Content Inventory
- Total pages: [count]
- By type: blog [n], product [n], service [n], other [n]
- Average performance score: [score]/100

### Top Performers
1. [score] [url] (traffic: [n])
...

### Decaying Content
1. [decay rate] [url] (traffic: [n])
...

### Content Gaps vs Competitors
1. [priority] [topic] (est. traffic: [n], difficulty: [level])
...

### Topic Clusters
1. **[Pillar Topic]** ([n] subtopics)
   - [subtopic 1]
   - [subtopic 2]

### Editorial Calendar
- [date] [topic] ([type], [word count], priority: [level])
...

### Recommendations
1. [Priority actions]
```

## Common Issues

| Issue | Impact | Fix |
|-------|--------|-----|
| No blog content | High | Build blog content strategy with topic clusters |
| Content decay (traffic loss) | High | Refresh and update declining pages |
| Missing competitor topics | Medium | Create content for high-priority gaps |
| No 후기/review content | Medium | Add Korean review-style content for conversions |
| Stale content (>12 months) | Medium | Update or consolidate outdated pages |
| No topic clusters | Medium | Organize content into pillar/cluster structure |
| Missing FAQ sections | Low | Add FAQ schema for featured snippet opportunities |

## Limitations

- our-seo-agent CLI or pre-fetched JSON required for traffic and keyword data
- Competitor analysis limited to publicly available content
- Content decay detection uses heuristic without historical data in standalone mode
- Topic clustering requires minimum 3 topics per cluster
- Word count analysis requires accessible competitor pages (no JS rendering)

## 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**: CONTENT-YYYYMMDD-NNN