Tool Integration

Local SEO Data + Claude: The Default Data Layer for Local SEO

36 endpoints delivering real-time local SEO data. GBP profiles, local pack, geogrids, citations, AI visibility. The integration that makes every other skill work with your actual client data.

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Local SEO Data Tool Integration: The Default Data Layer

Without Local SEO Data connected, Local SEO Skills works from training data — Claude knows about local SEO but doesn’t know about your client’s GBP profile, your client’s competitors, or your client’s actual geogrid rankings right now.

The skills are present. The live data isn’t.

What This Integration Unlocks

36 endpoints delivering real-time local SEO data directly into every skill workflow:

  • GBP data: business_profile, profile_health, local_pack
  • Ranking data: geogrid_scan, local_finder, maps
  • Citation data: citation_audit, business_listings
  • Review data: google_reviews, review_velocity, multi_platform_reviews
  • Keyword data: keyword_suggestions, search_volume, related_keywords
  • AI visibility: ai_visibility, ai_mentions, ai_llm_response, ai_overview
  • Competitive data: competitor_gap, backlink_gap, local_authority
  • And more — 36 endpoints total

This is the integration that makes every other skill capable of working with your actual client data instead of generalized advice.

Dispatch Routing

Local SEO Data is the default tool. Dispatch routes to it automatically for any workflow requiring live data:

  • GBP audits → business_profile, profile_health
  • Competitive analysis → local_pack, competitor_gap
  • Geogrid scans → geogrid_scan
  • Citation checks → citation_audit
  • Review pulls → google_reviews, review_velocity
  • AI visibility → ai_visibility, ai_mentions

The three skill categories that call Local SEO Data most frequently:

Audit skills (local-seo-audit, gbp-optimization) → business_profile, profile_health, competitor_gap

Ranking skills (geogrid-analysis, local-competitor-analysis) → geogrid_scan, local_pack

AI visibility skills (ai-local-search) → ai_visibility, ai_mentions, ai_llm_response

Three Workflows

Workflow 1 — Live GBP Audit:

Prompt: "Audit the GBP for [Business Name] vs. current local pack for 'dentist Phoenix'."
Endpoints: business_profile, profile_health, local_pack, competitor_gap
Output: Completeness score, category gap, attribute gap, competitive benchmark

Workflow 2 — Geographic Rank Scan:

Prompt: "Run a 7x7 geogrid for [Business Name] for 'plumber near me' in Buffalo at 1mi spacing."
Endpoint: geogrid_scan
Output: 49-point ranking map, ARP/ATRP/SoLV, pattern interpretation, action plan

Workflow 3 — AI Visibility Audit:

Prompt: "Check [Business Name]'s AI visibility for 'HVAC Austin' across all platforms."
Endpoints: ai_visibility, ai_mentions, ai_llm_response, ai_overview
Output: Platform-by-platform visibility score, competitor comparison, fix priority list

Setup

  1. Sign up at localseodata.com — get your API key
  2. In Claude Code: Settings → MCP Servers → Add Server
    • Name: Local SEO Data
    • URL: https://mcp.localseodata.com/mcp?key=YOUR_API_KEY
  3. Restart Claude Code
  4. Verify connection

First Prompt After Setup

"Using Local SEO Data, pull the top 3 businesses in the local pack for
'coffee shop' in Austin TX and give me a quick profile snapshot of each."

If you see live data with business names, ratings, and review counts — the integration is working.

Skill Documentation

For technical details on how this skill works, what data it pulls, and complete prompt reference, see the full skill documentation.