Renumber 12 existing skills to new ranges: - SEO: 11→13, 12→18, 13→16, 14→17, 15→14, 16→15, 17→29, 18→30, 19→12 - GTM: 20→60, 21→61, 22→62 Update cross-references in gateway architect/builder skills, GTM guardian README, CLAUDE.md (skill tables + directory layout), and AGENTS.md (domain routing ranges). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
3.8 KiB
3.8 KiB
CLAUDE.md
Overview
Local SEO auditor for businesses with physical locations: NAP consistency, Google Business Profile optimization, local citations, and LocalBusiness schema validation.
Quick Start
This skill primarily uses MCP tools (Firecrawl, Perplexity) for data collection. Scripts are helpers for validation.
# NAP consistency check (manual data input)
python scripts/nap_checker.py --business "Business Name" --address "123 Main St" --phone "555-1234"
# LocalBusiness schema validation
python scripts/local_schema_validator.py --url https://example.com
Audit Components
1. NAP Consistency
Name, Address, Phone consistency across:
- Website (header, footer, contact page)
- Google Business Profile
- Local directories (Yelp, Yellow Pages, etc.)
- Social media profiles
2. Google Business Profile (GBP)
Optimization checklist:
- Business name matches website
- Address is complete and accurate
- Phone number is local
- Business hours are current
- Categories are appropriate
- Photos uploaded (exterior, interior, products)
- Posts are recent (within 7 days)
- Reviews are responded to
3. Local Citations
Priority directories to check:
- Google Business Profile
- Apple Maps
- Bing Places
- Yelp
- Facebook Business
- Industry-specific directories
4. LocalBusiness Schema
Required properties:
- @type (LocalBusiness or subtype)
- name
- address (PostalAddress)
- telephone
- openingHours
Workflow
1. Collect NAP from client
2. Scrape website for NAP mentions
3. Search citations using Perplexity
4. Check GBP data (manual or API)
5. Validate LocalBusiness schema
6. Generate consistency report
Output Format
## Local SEO Audit: [Business Name]
### NAP Consistency Score: X/10
| Source | Name | Address | Phone | Status |
|--------|------|---------|-------|--------|
| Website | ✓ | ✓ | ✓ | Match |
| GBP | ✓ | ✗ | ✓ | Mismatch |
### GBP Optimization: X/10
- [ ] Issue 1
- [x] Completed item
### Citation Audit
- Found: X citations
- Consistent: X
- Needs update: X
### Recommendations
1. Fix address mismatch on GBP
2. Add LocalBusiness schema
Common Issues
| Issue | Impact | Fix |
|---|---|---|
| NAP inconsistency | High | Update all directories |
| Missing GBP categories | Medium | Add relevant categories |
| No LocalBusiness schema | Medium | Add JSON-LD markup |
| Outdated business hours | Medium | Update GBP hours |
| No review responses | Low | Respond to all reviews |
Notes
- GBP API requires enterprise approval (use manual audit)
- Citation discovery limited to public data
- Use schema generator skill (14) for creating LocalBusiness markup
Notion Output (Required)
IMPORTANT: All audit reports MUST be saved to the OurDigital SEO Audit Log database.
Database Configuration
| Field | Value |
|---|---|
| Database ID | 2c8581e5-8a1e-8035-880b-e38cefc2f3ef |
| URL | https://www.notion.so/dintelligence/2c8581e58a1e8035880be38cefc2f3ef |
Required Properties
| Property | Type | Description |
|---|---|---|
| Issue | Title | Report title (Korean + date) |
| Site | URL | Audited website URL |
| Category | Select | Technical SEO, On-page SEO, Performance, Schema/Structured Data, Sitemap, Robots.txt, Content, Local SEO |
| Priority | Select | Critical, High, Medium, Low |
| Found Date | Date | Audit date (YYYY-MM-DD) |
| Audit ID | Rich Text | Format: [TYPE]-YYYYMMDD-NNN |
Language Guidelines
- Report content in Korean (한국어)
- Keep technical English terms as-is (e.g., SEO Audit, Core Web Vitals, Schema Markup)
- URLs and code remain unchanged
Example MCP Call
mcp-cli call notion/API-post-page '{"parent": {"database_id": "2c8581e5-8a1e-8035-880b-e38cefc2f3ef"}, "properties": {...}}'