113 lines
3.9 KiB
Markdown
113 lines
3.9 KiB
Markdown
---
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name: seo-keyword-strategy
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description: |
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Keyword strategy and research for SEO campaigns.
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Triggers: keyword research, keyword analysis, keyword gap, search volume,
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keyword clustering, intent classification, 키워드 전략, 키워드 분석,
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키워드 리서치, 검색량 분석, 키워드 클러스터링.
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---
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# SEO Keyword Strategy & Research
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## Purpose
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Expand seed keywords, classify search intent, cluster topics, and identify competitor keyword gaps for comprehensive keyword strategy development.
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## Core Capabilities
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1. **Keyword Expansion** - Matching terms, related terms, search suggestions
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2. **Korean Market** - Suffix expansion, Naver autocomplete, Korean intent patterns
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3. **Intent Classification** - Informational, navigational, commercial, transactional
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4. **Topic Clustering** - Group keywords into semantic clusters
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5. **Gap Analysis** - Find competitor keywords missing from target site
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## MCP Tool Usage
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### SEO Data (DataForSEO)
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**Primary — our-seo-agent CLI:**
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```bash
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our keywords volume "<keyword>" --location 2410 --language ko
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our keywords ideas "<keyword>" --location 2410 --limit 50
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our keywords for-site <competitor.com> --location 2410 --limit 100
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our keywords intent "<kw1>" "<kw2>" "<kw3>"
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our keywords difficulty "<kw1>" "<kw2>"
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```
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**Interactive fallback — DataForSEO MCP:**
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```
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mcp__dfs-mcp__dataforseo_labs_google_keyword_overview
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mcp__dfs-mcp__dataforseo_labs_google_keyword_ideas
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mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions
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mcp__dfs-mcp__dataforseo_labs_search_intent
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mcp__dfs-mcp__dataforseo_labs_bulk_keyword_difficulty
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mcp__dfs-mcp__kw_data_google_ads_search_volume
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mcp__dfs-mcp__dataforseo_labs_google_keywords_for_site
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```
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### Common Parameters
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- **location_code**: 2410 (Korea), 2840 (US), 2392 (Japan)
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- **language_code**: ko, en, ja
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### Web Search for Naver Discovery
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```
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WebSearch: Naver autocomplete and trend discovery
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```
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## Workflow
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### 1. Seed Keyword Expansion
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1. Input seed keyword (Korean or English)
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2. Fetch search volume via `our keywords volume "<seed>" --location 2410 --language ko`
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3. Expand with `our keywords ideas "<seed>" --location 2410 --limit 50`
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4. Get autocomplete suggestions via MCP: `mcp__dfs-mcp__dataforseo_labs_google_keyword_suggestions`
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5. Apply Korean suffix expansion if Korean market
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6. Deduplicate and merge results
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### 2. Intent Classification & Clustering
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1. Classify each keyword by search intent
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2. Group keywords into topic clusters
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3. Identify pillar topics and supporting terms
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4. Calculate cluster-level metrics (total volume, avg KD)
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### 3. Gap Analysis
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1. Pull organic keywords for target: `our keywords for-site <target.com> --location 2410 --limit 100`
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2. Pull organic keywords for competitors: `our keywords for-site <competitor.com> --location 2410 --limit 100`
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3. Identify keywords present in competitors but missing from target
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4. Score opportunities by volume/difficulty ratio
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5. Prioritize by intent alignment with business goals
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## Output Format
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```markdown
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## Keyword Strategy Report: [seed keyword]
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### Overview
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- Total keywords discovered: [count]
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- Topic clusters: [count]
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- Total search volume: [sum]
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### Top Clusters
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| Cluster | Keywords | Total Volume | Avg KD |
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|---------|----------|-------------|--------|
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| ... | ... | ... | ... |
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### Top Opportunities
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| Keyword | Volume | KD | Intent | Cluster |
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|---------|--------|-----|--------|---------|
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| ... | ... | ... | ... | ... |
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### Keyword Gaps (vs competitors)
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| Keyword | Volume | Competitor Position | Opportunity Score |
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|---------|--------|-------------------|-------------------|
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| ... | ... | ... | ... |
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```
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## Notion Output (Required)
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All audit reports MUST be saved to OurDigital SEO Audit Log:
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- **Database ID**: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
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- **Properties**: Issue (title), Site (url), Category, Priority, Found Date, Audit ID
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- **Language**: Korean with English technical terms
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- **Audit ID Format**: KW-YYYYMMDD-NNN
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