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 (DataForSEO)

Primary — our-seo-agent CLI:

our keywords volume "<keyword>" --location 2410 --language ko
our keywords ideas "<keyword>" --location 2410 --limit 50
our keywords for-site <competitor.com> --location 2410 --limit 100
our keywords intent "<kw1>" "<kw2>" "<kw3>"
our keywords difficulty "<kw1>" "<kw2>"

Interactive fallback — DataForSEO MCP:

mcp__dfs-mcp__dataforseo_labs_google_keyword_overview
mcp__dfs-mcp__dataforseo_labs_google_keyword_ideas
mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions
mcp__dfs-mcp__dataforseo_labs_search_intent
mcp__dfs-mcp__dataforseo_labs_bulk_keyword_difficulty
mcp__dfs-mcp__kw_data_google_ads_search_volume
mcp__dfs-mcp__dataforseo_labs_google_keywords_for_site

Common Parameters

• location_code: 2410 (Korea), 2840 (US), 2392 (Japan)
• language_code: ko, en, ja

Web Search for Naver Discovery

WebSearch: Naver autocomplete and trend discovery

Workflow

1. Seed Keyword Expansion

1. Input seed keyword (Korean or English)
2. Fetch search volume via our keywords volume "<seed>" --location 2410 --language ko
3. Expand with our keywords ideas "<seed>" --location 2410 --limit 50
4. Get autocomplete suggestions via MCP: mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions
5. Apply Korean suffix expansion if Korean market
6. 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: our keywords for-site <target.com> --location 2410 --limit 100
2. Pull organic keywords for competitors: our keywords for-site <competitor.com> --location 2410 --limit 100
3. Identify keywords present in competitors but missing from target
4. Score opportunities by volume/difficulty ratio
5. 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