our-claude-skills/custom-skills/19-seo-keyword-strategy/desktop/SKILL.md

name, description

name	description
seo-keyword-strategy	Keyword strategy and research for SEO campaigns. Triggers: keyword research, keyword analysis, keyword gap, search volume, keyword clustering, intent classification, 키워드 전략, 키워드 분석, 키워드 리서치, 검색량 분석, 키워드 클러스터링.

SEO Keyword Strategy & Research

Purpose

Expand seed keywords, classify search intent, cluster topics, and identify competitor keyword gaps for comprehensive keyword strategy development.

Core Capabilities

1. Keyword Expansion - Matching terms, related terms, search suggestions
2. Korean Market - Suffix expansion, Naver autocomplete, Korean intent patterns
3. Intent Classification - Informational, navigational, commercial, transactional
4. Topic Clustering - Group keywords into semantic clusters
5. Gap Analysis - Find competitor keywords missing from target site

MCP Tool Usage

SEO Data

our-seo-agent CLI: Primary keyword data source (future); use --input for pre-fetched JSON
WebSearch / WebFetch: Live keyword research and autocomplete data

Web Search for Naver Discovery

WebSearch: Naver autocomplete and trend discovery

Workflow

1. Seed Keyword Expansion

1. Input seed keyword (Korean or English)
2. Query keyword data via our-seo-agent CLI, pre-fetched JSON, or WebSearch
3. Get search suggestions for long-tail variations
4. Apply Korean suffix expansion if Korean market
5. Deduplicate and merge results

2. Intent Classification & Clustering

1. Classify each keyword by search intent
2. Group keywords into topic clusters
3. Identify pillar topics and supporting terms
4. Calculate cluster-level metrics (total volume, avg KD)

3. Gap Analysis

1. Pull organic keywords for target and competitors
2. Identify keywords present in competitors but missing from target
3. Score opportunities by volume/difficulty ratio
4. Prioritize by intent alignment with business goals

Output Format

## Keyword Strategy Report: [seed keyword]

### Overview
- Total keywords discovered: [count]
- Topic clusters: [count]
- Total search volume: [sum]

### Top Clusters
| Cluster | Keywords | Total Volume | Avg KD |
|---------|----------|-------------|--------|
| ... | ... | ... | ... |

### Top Opportunities
| Keyword | Volume | KD | Intent | Cluster |
|---------|--------|-----|--------|---------|
| ... | ... | ... | ... | ... |

### Keyword Gaps (vs competitors)
| Keyword | Volume | Competitor Position | Opportunity Score |
|---------|--------|-------------------|-------------------|
| ... | ... | ... | ... |

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: KW-YYYYMMDD-NNN