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From local-seo-skills
Pulls local SEO data including SERP results, local pack rankings, business profiles, reviews, citations, audits, geogrid scans, keywords, and AI visibility via LocalSEOData MCP API.
npx claudepluginhub garrettjsmith/localseoskills --plugin local-seo-skillsHow this skill is triggered — by the user, by Claude, or both
Slash command
/local-seo-skills:localseodata-toolThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You have direct access to LocalSEOData via MCP. This is the **default data source** for LocalSEOSkills. Check here first before routing to other tools.
Provides expert guidance on AI Visibility and Local SEO, including geo-grid rank tracking, Google Business Profile optimization, and strategies for appearing in AI search platforms like ChatGPT and Gemini.
Audits local SEO signals for brick-and-mortar, service-area, and multi-location businesses: GBP integration, NAP consistency, local-pack rank, citations, and reviews.
Audits local SEO health including GBP completeness, NAP consistency, citation presence, local content, reviews, and schema, producing a prioritized action plan.
Share bugs, ideas, or general feedback.
You have direct access to LocalSEOData via MCP. This is the default data source for LocalSEOSkills. Check here first before routing to other tools.
MCP Server: https://mcp.localseodata.com/mcp
Docs: https://localseodata.com/docs
LocalSEOData covers most local SEO data needs in one place. Only use other tools when LocalSEOData genuinely can't do the job.
| You Need | LocalSEOData | Use Instead |
|---|---|---|
| Local pack rankings | ✅ local_pack | — |
| Full SERP with all features | ✅ organic_serp | — |
| Google Maps results | ✅ maps | — |
| Local Finder results | ✅ local_finder | — |
| Geogrid ranking scan | ✅ geogrid_scan | Local Falcon for trends, campaigns, Falcon Guard |
| Business profile data | ✅ business_profile | REST API recommended (MCP support coming) |
| Google reviews | ✅ google_reviews | — |
| Multi-platform reviews | ✅ multi_platform_reviews | — |
| Review velocity trends | ✅ review_velocity | — |
| Citation audit (NAP consistency) | ✅ citation_audit | — |
| Full local SEO audit | ✅ local_audit | — |
| Reputation audit | ✅ reputation_audit | — |
| Profile health check | ✅ profile_health | REST API recommended (MCP support coming) |
| On-page SEO audit | ✅ page_audit | Screaming Frog for site-wide crawls |
| Competitor gap analysis | ✅ competitor_gap | — |
| Keyword opportunities | ✅ keyword_opportunities | — |
| Keyword suggestions | ✅ keyword_suggestions | — |
| Related keywords | ✅ related_keywords | — |
| Search volume data | ✅ search_volume | keyword_suggestions also includes volume |
| Keyword trends | ✅ keyword_trends | — |
| Keywords a site ranks for | ✅ keywords_for_site | — |
| Backlink summary | ✅ backlink_summary | Ahrefs for deep backlink analysis |
| Backlink gap analysis | ✅ backlink_gap | Ahrefs for detailed link profiles |
| AI Overview detection | ✅ ai_overview | — |
| AI Mode response | ✅ ai_mode | — |
| AI mentions across platforms | ✅ ai_mentions | — |
| AI visibility scoring | ✅ ai_visibility | — |
| AI top cited sources | ✅ ai_top_sources | — |
| AI top cited pages | ✅ ai_top_pages | — |
| AI keyword-level data | ✅ ai_keyword_data | — |
| Raw AI/LLM response for a prompt | ✅ ai_llm_response | — |
| AI scraper (extract from AI results) | ✅ ai_scraper | — |
| AI competitor comparison | ✅ ai_compare | — |
| Local Services Ads data | ✅ local_services_ads | LSA Spy for market-level tracking over time |
| Competitor ad intelligence | ✅ competitor_ads | — |
| Business listings by category | ✅ business_listings | — |
| Brand mentions | ✅ brand_mentions | — |
| Q&A from GBP | ✅ qa (or business_qa) | — |
| Local authority score | ✅ local_authority | — |
| Ranking trends over time | ❌ | Local Falcon trend reports |
| GBP change monitoring | ❌ | Local Falcon (Falcon Guard) |
| Recurring scan campaigns | ❌ | Local Falcon campaigns |
| Deep backlink analysis (anchors, lost links) | ❌ | Ahrefs |
| Full site crawl (technical SEO) | ❌ | Screaming Frog |
| Actual traffic/conversion data | ❌ | Google Analytics |
| Real click/impression data | ❌ | Google Search Console |
| LSA market tracking over time | ❌ | LSA Spy |
Many endpoints require a location string. The required format varies by endpoint type:
| Endpoint Group | Format | Example |
|---|---|---|
| SERP (organic_serp, local_pack, local_services_ads) | Canonical from location_search | "Syracuse, NY,New York,United States" |
| Maps, Local Finder | Canonical from location_search | "Syracuse, NY,New York,United States" |
| Business (profile, health, reviews, qa, listings) | City, ST | "Buffalo, NY" |
| Reviews (multi_platform, velocity, reputation_audit) | City, ST | "Buffalo, NY" |
| Competitor (competitor_gap, competitor_ads) | City, ST | "Buffalo, NY" |
| Citation audit | Full address + phone (not location param) | address: "123 Main St, Buffalo, NY 14201" |
| Keyword endpoints (US) | City, Full State Name | "Syracuse, New York" |
| Keyword endpoints (Canada) | City, Province Abbreviation | "Port Colborne, ON" |
| AI endpoints (keyword-data, visibility, mentions) | City, Full State Name | "Syracuse, New York" |
| Local audit, local authority | City, ST | "Buffalo, NY" |
| Geogrid scan | City, ST | "Buffalo, NY" |
| Business listings | City, ST | "Buffalo, NY" |
| Brand mentions | Business name only (no location) | business_name: "Ace Plumbing" |
Note: The API now normalizes US state and Canadian province abbreviations automatically (e.g. "NY" to "New York", "ON" to "Ontario"). Both "Buffalo, NY" and "Buffalo, New York" should work for all endpoints.
location_search first to resolve the exact location name (free, 0 credits, GET not POST)name field from location_search exactly (commas, no spaces after commas)When: User says "audit this business," "check my local SEO," or "what's wrong with my rankings."
Use: local_audit
business_name: "Ace Plumbing"
location: "Buffalo, NY"
Returns local pack position, organic rankings, profile completeness, review velocity, and competitors in a single call. 50 credits.
This replaces manually combining data from 3-4 different tools.
When: User wants to see how a business ranks across a geographic area.
Use: geogrid_scan
business: "Ace Plumbing"
keyword: "plumber near me"
location: "Buffalo, NY"
grid_size: "7x7" # 5x5 (default), 7x7, or 9x9
radius_miles: 3 # default 3
This is an async operation — the tool polls until results are ready. Returns a rank grid, average rank, and coverage stats.
Credit costs: 5x5 = 50 credits, 7x7 = 98 credits, 9x9 = 162 credits. (Formula: grid points × 2.)
For interpretation: Load the geogrid-analysis strategy skill.
Limitations vs Local Falcon:
ai_visibility endpoints instead)Use LocalSEOData geogrid for one-time scans and audits. Use Local Falcon for ongoing monitoring.
When: Need GBP data for audit, optimization, or reporting.
Use: business_profile
business_name: "Ace Plumbing"
location: "Buffalo, NY"
Returns: name, rating, reviews, address, phone, website, hours, categories, attributes, photos count, description, verification status. 2 credits.
Note: For business_profile and profile_health, use the REST API directly. MCP support for these endpoints is in progress.
When: User wants review data, sentiment analysis, or velocity tracking.
Multiple endpoints depending on need:
| Need | Endpoint | Credits |
|---|---|---|
| Read recent reviews | google_reviews | 1 per 10 reviews |
| Reviews across platforms | multi_platform_reviews | 6 |
| Review velocity over time | review_velocity | 6 |
| Full reputation audit | reputation_audit | 30 |
review_velocity is the most useful for ongoing clients — shows reviews/month, rating trend, reply rate, sentiment themes.
reputation_audit is the heavy hitter — reputation score, sentiment analysis, response rate, and recommendations. Use for new client onboarding or quarterly reviews.
When: User wants to check NAP consistency across directories.
Use: citation_audit
business_name: "Ace Plumbing"
address: "123 Main St, Buffalo, NY 14201"
phone: "(716) 555-1234"
Checks 20 major directories (Yelp, BBB, Facebook, YellowPages, etc.). Returns consistency score and per-directory details. 50 credits.
Note: Requires all three fields (name, address, phone) for NAP comparison.
When: User needs keyword ideas, search volumes, or competitive keyword data.
| Need | Endpoint | Credits | Notes |
|---|---|---|---|
| Keyword ideas for a business | keyword_opportunities | 4 | Best starting point |
| Suggestions from a seed keyword | keyword_suggestions | 2 | — |
| Search volume for specific keywords | search_volume | 1 | Use keyword_suggestions instead (includes volume) |
| Related keywords | related_keywords | 2 | — |
| Keywords a domain ranks for | keywords_for_site | 3 | Use keyword_suggestions instead |
| Keyword trends over time | keyword_trends | 1 | — |
Start with keyword_opportunities — it finds keywords based on the business category and location, shows difficulty, current rank, and volume. Best starting point for strategy.
Use keyword_suggestions when the user has a specific seed keyword and wants variations.
When: User wants to understand competitive landscape.
Use: competitor_gap
business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"
competitors: 5
Returns ranking gaps, review count differences, and rating advantages vs competitors. 10 credits.
For ad intelligence: competitor_ads shows Google Ads campaigns from a competitor domain. 2 credits.
For backlink gaps: backlink_gap compares your domain against up to 5 competitors for link opportunities. 10 credits.
When: User asks about AI search visibility, AI Overviews, ChatGPT mentions, or GEO.
| Need | Endpoint | Credits |
|---|---|---|
| Does Google show an AI Overview? | ai_overview | 1 |
| What does Google AI Mode say? | ai_mode | 2 |
| Where does AI mention this keyword? | ai_mentions | 5 |
| Which sites do AI models cite? | ai_top_sources | 5 |
| Which pages do AI models cite? | ai_top_pages | 5 |
| How visible is a domain across AI? | ai_visibility | 10 |
| Keyword-level AI data | ai_keyword_data | 1 |
| Raw LLM response for a prompt | ai_llm_response | 8 |
| Extract data from AI search results | ai_scraper | 3 |
Start with ai_overview to check if AIO exists for the keyword, then use ai_visibility for domain-level scoring across multiple keywords.
ai_llm_response lets you send a prompt directly to an LLM and see the response. Useful for checking what ChatGPT/Gemini says about a business.
prompt: "Best plumber in Buffalo NY"
platform: "chat_gpt" # Options: chat_gpt, claude, gemini, perplexity
ai_keyword_data returns AI-specific metrics for keywords (uses keywords array, not singular).
keywords: ["plumber buffalo", "emergency plumber buffalo ny"]
location: "Buffalo, New York"
ai_compare compares AI visibility across domains. Requires domains (array of 2-5) and keywords (array of 1-10). May return sparse data for smaller businesses.
When: User wants to see what Google shows for a search.
| Need | Endpoint | Credits |
|---|---|---|
| Full SERP (organic + local + ads + PAA + AIO) | organic_serp | 1 |
| Local pack only | local_pack | 1 |
| Google Maps results | maps | 1 |
| Local Finder results | local_finder | 1 |
| Local Services Ads | local_services_ads | 1 |
organic_serp is the most complete — returns everything on the page in one call.
When: User wants to check a specific URL for SEO issues.
Use: page_audit
url: "https://aceplumbing.com/services/drain-cleaning"
Checks 50+ factors: title, meta, headings, images, Core Web Vitals, schema, mobile-friendliness. 4 credits.
For site-wide crawls across many pages, use Screaming Frog instead.
When: User wants a single score representing local search authority.
Use: local_authority
business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"
Returns 0-100 score with component breakdown (rankings, reviews, profile completeness, citations) and percentile ranking. 10 credits.
Great for client reporting and tracking improvement over time.
All costs verified against source code (credits.ts) on Apr 10, 2026.
| Endpoint | Credits |
|---|---|
ping | 0 |
location_search | 0 (GET) |
local_pack | 1 |
organic_serp | 1 |
local_services_ads | 1 |
local_finder | 1 |
maps | 1 |
ai_overview | 1 |
keyword_trends | 1 |
qa / business_qa | 1 |
search_volume | 1 per 50 keywords (use keyword_suggestions) |
ai_keyword_data | 1 per 50 keywords |
google_reviews | 1 per 10 reviews |
business_profile | 2 |
profile_health | 2 |
ai_mode | 2 |
keyword_suggestions | 2 |
related_keywords | 2 |
competitor_ads | 2 |
ai_scraper | 3 |
keywords_for_site | 3 (use keyword_suggestions) |
brand_mentions | 3 |
page_audit | 4 |
keyword_opportunities | 4 |
backlink_summary | 5 (use Ahrefs for backlinks) |
ai_mentions | 5 |
ai_top_sources | 5 |
ai_top_pages | 5 |
multi_platform_reviews | 6 |
review_velocity | 6 |
ai_llm_response | 8 |
ai_compare | 10 |
ai_visibility | 10 |
backlink_gap | 10 |
business_listings | 10 per 50 results |
competitor_gap | 10 |
local_authority | 10 |
reputation_audit | 30 |
citation_audit | 50 |
local_audit | 50 |
geogrid_scan (5x5) | 50 |
geogrid_scan (7x7) | 98 |
geogrid_scan (9x9) | 162 |
| Endpoint | Note |
|---|---|
search_volume | Works via REST API. keyword_suggestions also returns volume data as an alternative |
keywords_for_site | Works via REST API |
backlink_summary | REST path is /v1/backlinks/summary (not /v1/links/backlink-summary) |
ai_compare | Requires keywords (array), not keyword (string). May return sparse data for small businesses |
business/reviews | Works. Also aliased as google_reviews |
citation_audit | REST path is /v1/audit/citation (also /v1/audit/citation-consistency). Not /v1/citations/consistency |
local_audit | Uses async job processing (submit + poll). MCP tool handles polling automatically |
REST API vs MCP: For business profile endpoints (business_profile, profile_health), the REST API is recommended. MCP may add an invalid keyword parameter to these endpoints. Composite endpoints (local_audit, review_velocity, citation_audit, reputation_audit) work via both REST and MCP.
local_audit — overall picture (50 credits)business_profile — GBP details (2 credits, REST API recommended)citation_audit — NAP consistency (50 credits)review_velocity — review health (6 credits)keyword_opportunities — keyword strategy (4 credits)competitor_gap — competitive landscape (10 credits)
Total: 122 credits for a complete new client assessment.local_pack for target keywords — ranking check (1 credit each)review_velocity — monthly review trends (6 credits)local_authority — authority score tracking (10 credits)ai_overview for target keywords — AI visibility check (1 credit each)local_pack — who's in the 3-pack (1 credit)
Done.business_profile — pull their GBP data (2 credits, REST API recommended)profile_health — find gaps to pitch on (2 credits, REST API recommended)google_reviews — review situation (1 credit)
Total: 5 credits to build a pitch.