---
name: seo-link-building
description: |
  Link building diagnosis and backlink analysis tool.
  Triggers: backlink audit, link building, referring domains, toxic links, link gap, broken backlinks, 백링크 분석, 링크빌딩.
---

# SEO Link Building Diagnosis

## Purpose

Analyze backlink profiles, detect toxic links, find competitor link gaps, track link velocity, and map Korean platform links. Provides actionable link building recommendations.

## Core Capabilities

1. **Backlink Profile Audit** - DR, referring domains, dofollow ratio, anchor distribution
2. **Toxic Link Detection** - PBN patterns, spam domains, link farm identification
3. **Competitor Link Gap Analysis** - Domains linking to competitors but not target
4. **Link Velocity Tracking** - New/lost referring domains over time
5. **Broken Backlink Recovery** - Find and reclaim broken high-DR backlinks
6. **Korean Platform Mapping** - Naver Blog, Cafe, Tistory, Brunch, Korean news

## MCP Tool Usage

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

### Notion for Report Storage
```
mcp__notion__notion-create-pages: Save audit report to SEO Audit Log
mcp__notion__notion-update-page: Update existing audit entries
```

## Workflow

### 1. Backlink Profile Audit
1. Fetch Domain Rating via `site-explorer-domain-rating`
2. Get backlink stats via `site-explorer-backlinks-stats`
3. Retrieve referring domains via `site-explorer-referring-domains`
4. Analyze anchor distribution via `site-explorer-anchors`
5. Detect toxic links (PBN patterns, spam keywords, suspicious TLDs)
6. Map Korean platform links from referring domains
7. Report with issues and recommendations

### 2. Link Gap Analysis
1. Fetch target referring domains
2. Fetch competitor referring domains (parallel)
3. Compute set difference (competitor - target)
4. Score opportunities by DR, traffic, category
5. Categorize sources (news, blog, forum, directory, Korean platform)
6. Rank by feasibility and impact
7. Report top opportunities with recommendations

### 3. Link Velocity Check
1. Fetch refdomains-history for last 90 days
2. Calculate new/lost referring domains per period
3. Determine velocity trend (growing/stable/declining)
4. Flag declining velocity as issue

### 4. Broken Backlink Recovery
1. Fetch broken backlinks via `site-explorer-broken-backlinks`
2. Sort by DR (highest value first)
3. Recommend 301 redirects or content recreation

## Output Format

```markdown
## Link Building Audit: [domain]

### Overview
- Domain Rating: [DR]
- Referring Domains: [count]
- Dofollow Ratio: [ratio]
- Toxic Links: [count] ([risk level])

### Anchor Distribution
| Type | Count | % |
|------|-------|---|
| Branded | [n] | [%] |
| Exact Match | [n] | [%] |
| Generic | [n] | [%] |
| Naked URL | [n] | [%] |

### Toxic Links (Top 10)
| Domain | Risk Score | Reason |
|--------|-----------|--------|

### Korean Platform Links
| Platform | Count |
|----------|-------|

### Link Velocity
| Period | New | Lost |
|--------|-----|------|

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

## 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 (Link Building), Priority, Found Date, Audit ID
- **Language**: Korean with English technical terms
- **Audit ID Format**: LINK-YYYYMMDD-NNN