Andrew Yim
a3ff965b87
12 new skills: Keyword Strategy, SERP Analysis, Position Tracking, Link Building, Content Strategy, E-Commerce SEO, KPI Framework, International SEO, AI Visibility, Knowledge Graph, Competitor Intel, and Crawl Budget. ~20K lines of Python across 25 domain scripts. Updated skill 11 pipeline table and repo CLAUDE.md. Enhanced skill 18 local SEO workflow from jamie.clinic audit. Note: Skill 26 hreflang_validator.py pending (content filter block). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
240 lines
8.3 KiB
Markdown
240 lines
8.3 KiB
Markdown
---
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name: seo-local-audit
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description: |
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Local business SEO auditor for Korean-market businesses. Covers business identity extraction,
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NAP consistency, Google Business Profile, Naver Smart Place, Kakao Map, local citations,
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and LocalBusiness schema validation.
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Triggers: local SEO, NAP audit, Google Business Profile, GBP optimization, local citations,
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네이버 스마트플레이스, 카카오맵, 로컬 SEO.
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---
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# SEO Local Audit
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## Purpose
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Audit local business SEO for Korean-market businesses: business identity extraction, NAP consistency, GBP optimization, Naver Smart Place, Kakao Map, local citations, and LocalBusiness schema markup.
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## Core Capabilities
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1. **Business Identity** - Extract official names, address, phone from website schema/content
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2. **NAP Consistency** - Cross-platform verification against canonical NAP
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3. **GBP Optimization** - Layered discovery + profile completeness audit
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4. **Naver Smart Place** - Layered discovery + listing completeness audit
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5. **Kakao Map** - Presence verification + NAP check
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6. **Citation Audit** - Korean-first directory presence
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7. **Schema Validation** - LocalBusiness JSON-LD markup
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## MCP Tool Usage
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```
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mcp__firecrawl__scrape: Extract NAP and schema from website
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mcp__perplexity__search: Find citations, GBP, Naver Place listings
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mcp__notion__create-page: Save audit findings
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```
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## Workflow
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### Step 0: Business Identity (MANDATORY FIRST STEP)
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Before any audit, establish the official business identity.
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**Sources (in priority order):**
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1. Website schema markup (JSON-LD `Organization`, `Hospital`, `LocalBusiness`) — `name` field is authoritative
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2. Contact page / About page
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3. Footer (address, phone, social links)
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4. User-provided information
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**Data to collect:**
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| Field | Example |
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|-------|---------|
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| Official name (Korean) | 제이미성형외과의원 |
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| Official name (English) | Jamie Plastic Surgery Clinic |
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| Brand/display name | Jamie Clinic |
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| Website URL | https://www.jamie.clinic |
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| Address (Korean) | 서울특별시 강남구 ... |
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| Phone | 02-XXX-XXXX |
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| Known GBP URL | (if available) |
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| Known Naver Place URL | (if available) |
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| Known Kakao Map URL | (if available) |
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Look for these URL patterns in `sameAs`, footer links, or embedded iframes:
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- GBP: `maps.app.goo.gl/*`, `google.com/maps/place/*`, `g.page/*`
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- Naver Place: `naver.me/*`, `map.naver.com/*/place/*`, `m.place.naver.com/*`
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- Kakao Map: `place.map.kakao.com/*`, `kko.to/*`
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### Step 1: Website NAP Extraction
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Scrape header, footer, contact page, about page. Cross-reference with schema markup. Establish the **canonical NAP** baseline.
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### Step 2: GBP Verification & Audit
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**Layered discovery (try in order, stop when found):**
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1. Use provided GBP URL (from Step 0 or user input)
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2. Check website for GBP link (footer, contact, schema `sameAs`, embedded Google Maps iframe)
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3. Search: `"[Korean Name]" "[City/District]" Google Maps`
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4. Search: `"[English Name]" Google Maps [City]`
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5. Search: `"[exact phone number]" site:google.com/maps`
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**Important**: Google Maps is JS-rendered — scraping tools cannot extract business data. Use search for discovery, verify via search result snippets.
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**If found — audit checklist (score /10):**
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- [ ] Business name matches canonical NAP
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- [ ] Address is complete and accurate
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- [ ] Phone number matches
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- [ ] Business hours are current
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- [ ] Primary + secondary categories appropriate
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- [ ] Business description complete
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- [ ] 10+ photos uploaded
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- [ ] Posts are recent (within 7 days)
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- [ ] Reviews are responded to
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- [ ] Q&A section is active
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**If NOT found:** Report as **"not discoverable via web search"** (distinct from "does not exist").
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### Step 3: Naver Smart Place Verification & Audit
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**Layered discovery (try in order, stop when found):**
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1. Use provided Naver Place URL (from Step 0 or user input)
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2. Check website for Naver Place link (footer, contact, schema `sameAs`)
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3. Search: `"[Korean Name]" site:map.naver.com`
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4. Search: `"[Korean Name]" 네이버 지도 [district]`
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5. Search: `"[Korean Name]" 네이버 스마트플레이스`
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6. Search: `"[exact phone number]" site:map.naver.com`
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**Important**: Naver Map is JS-rendered — scraping tools cannot extract data. Use search for discovery, verify via snippets.
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**If found — audit checklist (score /10):**
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- [ ] Business name matches canonical NAP
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- [ ] Address is complete and accurate
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- [ ] Phone number matches
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- [ ] Business hours are current
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- [ ] Place is "claimed" (owner-managed / 업주 등록)
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- [ ] Keywords/tags are set
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- [ ] Booking/reservation link present
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- [ ] Recent blog reviews linked
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- [ ] Photos uploaded and current
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- [ ] Menu/service/price information present
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**If NOT found:** Report as **"not discoverable via web search"** (not "does not exist" or "not registered").
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### Step 4: Kakao Map Verification
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**Discovery:**
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1. Use provided Kakao Map URL (from Step 0)
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2. Check website for Kakao Map link (`place.map.kakao.com/*`, `kko.to/*`)
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3. Search: `"[Korean Name]" site:place.map.kakao.com`
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4. Search: `"[Korean Name]" 카카오맵 [district]`
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**If found:** Verify NAP consistency against canonical NAP.
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### Step 5: Citation Discovery
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**Korean market platform priorities:**
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| Platform | Priority | Market |
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|----------|----------|--------|
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| Google Business Profile | Critical | Global |
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| Naver Smart Place (네이버 스마트플레이스) | Critical | Korea |
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| Kakao Map (카카오맵) | High | Korea |
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| Industry-specific directories | High | Varies |
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| Apple Maps | Medium | Global |
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| Bing Places | Low | Global |
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**Korean medical/cosmetic industry directories:**
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- 강남언니 (Gangnam Unni)
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- 바비톡 (Babitalk)
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- 성예사 (Sungyesa)
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- 굿닥 (Goodoc)
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- 똑닥 (Ddocdoc)
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- 모두닥 (Modoodoc)
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- 하이닥 (HiDoc)
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### Step 6: NAP Consistency Report
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Cross-reference all sources against canonical NAP.
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**Common inconsistency points:**
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- Building/landmark names — authoritative source is the **business registration certificate** (사업자등록증)
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- Phone format variations (02-XXX-XXXX vs +82-2-XXX-XXXX)
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- Address format (road-name vs lot-number / 도로명 vs 지번)
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- Korean vs English name spelling variations
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- Suite/floor number omissions
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### Step 7: LocalBusiness Schema Validation
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Validate JSON-LD completeness: @type, name, address, telephone, openingHours, geo (GeoCoordinates), sameAs (GBP, Naver, Kakao, social), url, image.
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## Scoring
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| Component | Weight | Max Score |
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|-----------|--------|-----------|
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| Business Identity completeness | 5% | /10 |
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| NAP Consistency | 20% | /10 |
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| GBP Optimization | 20% | /10 |
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| Naver Smart Place | 20% | /10 |
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| Kakao Map presence | 10% | /10 |
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| Citations (directories) | 10% | /10 |
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| LocalBusiness Schema | 15% | /10 |
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**Overall Local SEO Score** = weighted average, normalized to /100.
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## Output Format
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```markdown
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## Local SEO Audit: [Business]
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### Business Identity
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| Field | Value |
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|-------|-------|
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| Korean Name | ... |
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| English Name | ... |
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| Address | ... |
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| Phone | ... |
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### NAP Consistency: X/10
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| Source | Name | Address | Phone | Status |
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|--------|------|---------|-------|--------|
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| Website | OK/Issue | OK/Issue | OK/Issue | Match/Mismatch |
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| GBP | OK/Issue | OK/Issue | OK/Issue | Match/Mismatch |
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| Naver Place | OK/Issue | OK/Issue | OK/Issue | Match/Mismatch |
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| Kakao Map | OK/Issue | OK/Issue | OK/Issue | Match/Mismatch |
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### GBP Score: X/10
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[Checklist results]
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### Naver Smart Place: X/10
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[Checklist results]
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### Kakao Map: X/10
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[Status + NAP check]
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### Citations: X/10
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| Platform | Found | NAP Match |
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|----------|-------|-----------|
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| ... | | |
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### LocalBusiness Schema: X/10
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- Present: Yes/No
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- Valid: Yes/No
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- Missing fields: [list]
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### Overall Score: XX/100 (Grade)
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### Priority Actions
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1. [Recommendations]
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```
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## Notes
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- GBP and Naver Map are JS-rendered — scraping tools cannot extract listing data. Always use search for discovery.
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- "Not discoverable via web search" != "does not exist." Always use this precise language.
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- For Korean businesses, Naver Smart Place is as important as GBP (often more so for domestic traffic).
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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 (Local SEO), Priority, Found Date, Audit ID
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- **Language**: Korean with English technical terms
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- **Audit ID Format**: LOCAL-YYYYMMDD-NNN
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