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Seo Local

  • 3.7k installs
  • 12.5k repo stars
  • Updated July 27, 2026
  • agricidaniel/claude-seo

seo-local is an agent skill that analyzes a business site for local SEO across GBP, NAP, citations, reviews, schema, and industry-specific local ranking factors.

About

seo-local is a March 2026 local SEO analysis skill that detects business type before running checks. It classifies brick-and-mortar locations with visible street addresses, service area businesses without public addresses, and hybrid models that combine both signals. Industry vertical detection routes recommendations for restaurants, healthcare, legal, home services, real estate, automotive, and related categories using page and GBP category cues. Analysis spans Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and service-area coverage. The skill cites benchmark stats such as GBP signals at 32 percent of local pack weight, review signals near 20 percent, and rising ChatGPT usage for local recommendations. SABs skip embedded map verification while brick-and-mortar rows get full NAP and map checks. Developers invoke it when users mention local SEO, Google Business Profile, map pack rankings, citations, NAP consistency, service areas, or multi-location search. Output is an actionable audit tailored to detected business and industry context rather than a generic checklist.

  • Detects brick-and-mortar, service area business, or hybrid models before choosing which local checks apply.
  • Routes industry-specific recommendations for restaurant, healthcare, legal, home services, real estate, and automotive v
  • Covers GBP optimization, NAP consistency, citations, reviews, local schema, and multi-location page quality.
  • Applies different map and address checks for SABs versus brick-and-mortar locations with physical addresses.
  • Includes March 2026 benchmark stats on GBP weight, review signals, and AI local recommendation usage.

Seo Local by the numbers

  • 3,735 all-time installs (skills.sh)
  • +433 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #183 of 1,881 Marketing & SEO skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

seo-local capabilities & compatibility

Capabilities
business type and industry vertical detection · gbp and nap consistency review · citation, review, and local schema analysis
Use cases
seo · marketing · research
From the docs

What seo-local says it does

Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup
SKILL.md
Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical
SKILL.md
SABs skip embedded map verification and physical address consistency.
SKILL.md
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-local

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Installs3.7k
repo stars12.5k
Security audit2 / 3 scanners passed
Last updatedJuly 27, 2026
Repositoryagricidaniel/claude-seo

How do I audit my site and Google Business Profile for local pack rankings, NAP consistency, and location-page quality?

Run a local SEO analysis covering Google Business Profile, NAP consistency, citations, reviews, local schema, and industry-specific checks for brick-and-mortar, SAB, or hybrid businesses.

Who is it for?

Marketing teams or site owners optimizing brick-and-mortar, service area, or hybrid businesses for Google local search and map pack visibility.

Skip if: Skip when the goal is national editorial SEO only with no local intent, GBP presence, or location pages to audit.

When should I use this skill?

User mentions local SEO, Google Business Profile, GBP, map pack, citations, NAP consistency, service area, or multi-location SEO.

What you get

A structured local SEO report with business-type and industry-specific recommendations for GBP, citations, reviews, and schema fixes.

  • Local SEO audit report
  • Industry-specific optimization checklist

By the numbers

  • Covers 6 industry verticals: restaurant, healthcare, legal, home services, real estate, automotive
  • Detects 3 business types: brick-and-mortar, SAB, hybrid

Files

SKILL.mdMarkdownGitHub ↗

Local SEO Analysis (March 2026)

Key Statistics

MetricValueSource
GBP signals share of local pack weight32%Whitespark 2026
Proximity share of ranking variance55.2%Search Atlas ML study
Review signals share (up from 16%)~20%Whitespark 2026
Google searches seeking local info46%Industry data
Mobile "near me" searches leading to visit in 24h76%Google confirmed
ChatGPT/AI usage for local recommendations45% (up from 6%)BrightLocal LCRS 2026
ChatGPT local conversion rate15.9%Seer Interactive
Google organic local conversion rate1.76%Seer Interactive
Local pack ads growth (Jan 2025 to Jan 2026)1% to 22%Sterling Sky

---

Business Type Detection

Detect from page signals before analysis. This determines which checks apply.

Brick-and-Mortar

  • Physical street address visible in page content or footer
  • Google Maps embed with pin/directions
  • "Visit us at", "Located at", "Come see us"
  • Structured address in LocalBusiness schema

Service Area Business (SAB)

  • No visible physical address
  • Service area mentions: "serving [city/region]", "service area includes"
  • "We come to you", "On-site service", "Mobile [service]"
  • areaServed in schema without address.streetAddress

Hybrid

  • Both physical address AND service area language present
  • "Visit our showroom" combined with "We also serve [areas]"

Impact on checks: SABs skip embedded map verification and physical address consistency. Brick-and-mortar gets full NAP + map checks.

---

Industry Vertical Detection

Detect from page signals and GBP category patterns. Routes to industry-specific checks from ../seo/references/local-schema-types.md.

VerticalDetection Signals
Restaurant/menu, menu items, reservations, cuisine types, food ordering, "dine-in", "takeout"
Healthcareinsurance accepted, patients, appointments, NPI, medical terms, "Dr.", HIPAA notice
Legalattorney, lawyer, practice areas, bar admission, case results, "free consultation"
Home Servicesservice area, emergency service, "free estimate", licensed/insured/bonded, "24/7"
Real Estatelistings, MLS, properties for sale/rent, agent bio, brokerage, "open house"
Automotiveinventory, VIN, test drive, dealership, service department, "new/used/certified"

If no vertical detected, use generic LocalBusiness analysis path.

---

Analysis Dimensions

1. GBP Signals (25%)

Primary category is the single most important local pack factor (Whitespark #1, score: 193). Incorrect primary category is the #1 negative factor (score: 176).

Check for:

  • GBP embed or reference detectable on page (Maps iframe, place ID, reviews widget)
  • Primary category appropriateness (infer from page content vs visible GBP data)
  • Evidence of secondary categories (optimal: 4 additional per BrightLocal)
  • GBP posts presence (no direct ranking impact per WebFX, but triggers Post Justifications)
  • Photos/video evidence (45% more direction requests with photos, Agency Jet)
  • Q&A content (deprecated Dec 2025, replaced by Ask Maps Gemini AI -- recommend recreating Q&A content as FAQ sections on website; GBP removed existing Q&A with no export available)
  • Google Verified badge eligibility (replaced Guaranteed/Screened in Oct 2025)
  • GBP link URL strategy: do NOT link to strongest website page (Sterling Sky Diversity Update -- risks suppressing organic rankings)
  • Business hours visibility on page (businesses open at search time rank higher, factor #5)

Scoring guide:

  • Full: GBP embed present, category signals align, posts active, photos present
  • Partial: Some GBP signals present but incomplete
  • Low: No visible GBP integration on website

2. Reviews & Reputation (20%)

Review velocity matters more than total count. The 18-day rule (Sterling Sky): rankings cliff if no new reviews for 3 weeks.

Check for:

  • Total Google review count visible on page or schema (magic threshold: 10, Sterling Sky)
  • Star rating (31% of consumers only use 4.5+, 68% only use 4+, BrightLocal 2026)
  • Review recency indicators (74% only care about reviews in last 3 months)
  • aggregateRating in schema (ratingValue, reviewCount, bestRating)
  • Third-party review presence (consumers use average of 6 review sites, BrightLocal 2026)
  • Owner response patterns (88% would use business that responds, BrightLocal)
  • Review gating detection: any pre-screening of satisfaction before directing to review platform is prohibited by Google (fake engagement policy) and FTC ($53,088/violation)

Industry-specific:

  • Healthcare: HIPAA prohibits confirming/denying reviewer is a patient in responses
  • Legal: attorney-client privilege considerations in review responses

Scoring guide:

  • Full: 10+ reviews, 4.5+ stars, recent activity, owner responses, multi-platform presence
  • Partial: Some reviews but gaps in recency, rating, or response rate
  • Low: <10 reviews, no recent activity, no responses, single platform only

3. Local On-Page SEO (20%)

Dedicated service pages = #1 local organic factor AND #2 AI visibility factor (Whitespark 2026).

Check for:

  • Title tag contains city/service keywords
  • H1 tag with local intent (city + service)
  • NAP (Name, Address, Phone) visible in page HTML (footer, contact section, header)
  • Dedicated service pages (one page per core service)
  • Location page quality for multi-location sites:
  • >60-70% unique content minimum (industry consensus, no Google-confirmed threshold)
  • Swap test: if you can swap the city name and content still makes sense, it's a doorway page (RicketyRoo method). HVAC company lost 80% rankings + 63% traffic after March 2024 Core Update for this pattern
  • Local photos, area-specific testimonials, local FAQs
  • Embedded Google Map (geographic signal reinforcement, not direct ranking factor -- lazy-load to mitigate speed impact)
  • Click-to-call button (tel: link) and contact form above the fold
  • Internal linking architecture: hub-and-spoke, every critical page within 3 clicks of homepage
  • 2-5 contextual internal links per 1,000 words with descriptive anchor text

Multi-location specific:

  • Store locator with individual crawlable URLs (SSR/SSG preferred over CSR)
  • Subdirectory structure: domain.com/locations/city-name/ (subdirectories consolidate link equity better, Bruce Clay: 50%+ traffic lift)
  • Each location page has unique LocalBusiness schema with @id

Scoring guide:

  • Full: City in title + H1, NAP visible, dedicated service pages, no doorway patterns, good internal linking
  • Partial: Some local signals but missing service pages or doorway page risk
  • Low: Generic title/H1, NAP not visible, thin location pages

4. NAP Consistency & Citations (15%)

Citations declining for traditional pack rankings but 3 of top 5 AI visibility factors are citation-related (Whitespark 2026). Google's July 2025 documentation update removed "directories" from prominence definition.

Check for:

  • NAP extraction: compare Name, Address, Phone from:

1. Visible page HTML (footer, contact page) 2. LocalBusiness JSON-LD schema 3. Any visible GBP data

  • Flag any discrepancies between these three sources
  • Citation presence on Tier 1 directories (check via WebFetch or site: search patterns):
  • Google Business Profile signals on page
  • Yelp: site:yelp.com "Business Name"
  • BBB: site:bbb.org "Business Name"
  • Facebook business page references
  • Apple Business Connect awareness (usage doubled to 27%, BrightLocal 2026 -- recommend claiming)
  • Bing Places awareness (powers ChatGPT, Copilot, Alexa -- recommend claiming and optimizing)
  • Industry-specific directory recommendations: load ../seo/references/local-schema-types.md for per-vertical citation sources
  • Data aggregator awareness: Data Axle, Foursquare, Neustar/TransUnion (recommend submission for downstream distribution)

Scoring guide:

  • Full: Consistent NAP across page/schema, Tier 1 citations detected, industry directories present
  • Partial: NAP present but inconsistencies, some citations missing
  • Low: NAP discrepancies, no detectable citations, no schema address

5. Local Schema Markup (10%)

Schema is NOT a direct ranking factor (John Mueller confirmed). But enables rich results (43% CTR increase, Webstix case study) and helps AI systems parse business information.

Check for:

  • LocalBusiness schema presence (extract JSON-LD blocks)
  • Required properties: name, address with PostalAddress sub-properties
  • Recommended properties: geo (minimum 5 decimal places, Confirmed), openingHoursSpecification, telephone, url, priceRange (<100 chars), image, aggregateRating
  • Correct subtype for industry -- load ../seo/references/local-schema-types.md:
  • Restaurant using Restaurant not generic LocalBusiness
  • Legal using LegalService not deprecated Attorney
  • Auto dealer using AutoDealer not deprecated VehicleListing
  • Healthcare using MedicalClinic/Hospital/Dentist not generic MedicalBusiness
  • SAB-specific: areaServed with named cities (recommended, not in Google's official list but Schema.org supported)
  • Multi-location: each location page has own LocalBusiness with unique @id, linked via branchOf to Organization on homepage
  • Industry-specific schema patterns (per ../seo/references/local-schema-types.md):
  • Restaurant: Menu + MenuSection + MenuItem + ReserveAction
  • Healthcare: Physician (Person) + MedicalSpecialty + sameAs to NPI
  • Legal: LegalService + Person + Service (practice areas)
  • Home Services: Subtype + areaServed + Service
  • Real Estate: RealEstateAgent + Person + RealEstateListing
  • Automotive: AutoDealer + Car + Offer (separate dept schemas)

Scoring guide:

  • Full: Correct subtype, all recommended properties, industry-specific patterns, valid JSON-LD
  • Partial: LocalBusiness present but generic type or missing recommended properties
  • Low: No local schema, or schema with errors/placeholder content

6. Local Link & Authority Signals (10%)

Links declining for local pack but remain ~26% of local organic ranking (Whitespark 2026, #2 factor group). "Best of" list placements = #1 AI visibility citation factor.

Check for:

  • Local backlink indicators detectable from page:
  • Chamber of Commerce mentions or links (high Trust Flow, ~80% more consumer visits, GlueUp)
  • BBB accreditation/badge (Google uses BBB for business verification)
  • Local news/press mentions
  • Community involvement signals (sponsorships, local events, partnerships)
  • "Best of" list presence (top AI visibility factor per Whitespark 2026)
  • Digital PR signals: 66.2% of PR practitioners now track AI citations as KPI (BuzzStream 2026)
  • Brand mentions correlate 3x more strongly with AI visibility than traditional backlinks (Ahrefs: 0.664 vs 0.218 correlation)
  • Link velocity benchmark: 5-10 quality local links/month for small businesses (consensus)

Scoring guide:

  • Full: Local authority signals visible (chamber, BBB, press), community involvement evident
  • Partial: Some authority signals but limited local link indicators
  • Low: No detectable local authority signals

---

AI Search Impact on Local

Do not duplicate seo-geo analysis. Provide local-specific AI context and recommend /seo geo <url> for full analysis.

Key local AI facts:

  • AI Overviews appear on up to 68% of local searches (Whitespark Q2 2025)
  • ChatGPT converts at 15.9% vs Google organic at 1.76% (Seer Interactive)
  • 3 of top 5 AI visibility factors are citation-related (Whitespark 2026)
  • ChatGPT does NOT access GBP directly -- sources from Bing index, Yelp, TripAdvisor, BBB, Reddit
  • Bing Places is critical: powers ChatGPT, Copilot, Alexa
  • AI-powered local packs (mobile US) show only 1-2 businesses, 32% fewer shown (Sterling Sky)

Recommendation: Run /seo geo <url> for comprehensive AI search visibility analysis including citability scoring, llms.txt check, and brand mention audit.

---

Reference Files

Load on-demand as needed:

  • ../seo/references/local-seo-signals.md: Ranking factors, review benchmarks, citation tiers, GBP feature status, algorithm updates
  • ../seo/references/local-schema-types.md: LocalBusiness subtypes by industry, schema patterns, citation sources per vertical

---

Output

Generate LOCAL-SEO-ANALYSIS-{domain}.md with:

1. Local SEO Score: XX/100 with dimension breakdown table 2. Business type: Brick-and-mortar / SAB / Hybrid 3. Industry vertical detected + industry-specific findings 4. GBP optimization checklist (detected signals vs missing) 5. Review health snapshot (rating, count, velocity indicators, response patterns) 6. NAP consistency audit (page vs schema discrepancies, cross-source comparison) 7. Citation presence check (Tier 1 directory status) 8. Local schema status (present/missing/malformed + ready-to-use fix) 9. Location page quality (if multi-location: unique content %, doorway risk, store locator) 10. Top 10 prioritized actions (Critical > High > Medium > Low) 11. Limitations disclaimer: What this analysis could NOT assess (geo-grid ranking, Domain Authority, comprehensive backlinks, GBP Insights data, real-time local pack position) and which paid tools can fill those gaps

---

Quick Wins

1. Claim and optimize Apple Business Connect (usage doubled to 27%) 2. Claim and optimize Bing Places (powers ChatGPT, Copilot, Alexa) 3. Fix any NAP discrepancies between page, schema, and GBP 4. Add LocalBusiness schema with correct industry subtype 5. Add geo coordinates with 5+ decimal precision 6. Ensure phone number uses tel: link for click-to-call 7. Add city + service keyword to title tag and H1

Medium Effort

1. Create dedicated page for each core service (Whitespark: #1 local organic factor) 2. Build review generation strategy maintaining 18-day minimum cadence 3. Submit to three data aggregators (Data Axle, Foursquare, Neustar/TransUnion) for downstream distribution 4. Claim industry-specific directory listings (per vertical recommendations) 5. Add industry-specific schema patterns (Menu for restaurants, Physician for healthcare, etc.) 6. Implement hub-and-spoke internal linking for service/location pages

High Impact

1. Build local digital PR strategy targeting "best of" lists (#1 AI visibility factor) 2. Develop unique, non-swappable content for each location page (>60% unique) 3. Establish presence on platforms ChatGPT sources from (Yelp, TripAdvisor, BBB, Reddit) 4. Pursue Chamber of Commerce and BBB membership (authority + verification signals) 5. Create community involvement content (sponsorships, local events, partnerships)

---

DataForSEO Integration (Optional)

If DataForSEO MCP tools are available, use local_business_data for live GBP data extraction, google_local_pack_serp for real-time local pack positions, and business_listings for automated citation auditing across directories.

---

Error Handling

ScenarioAction
URL unreachable (DNS failure, connection refused)Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again.
No local signals detected on pageReport that no local business indicators were found. Suggest the user confirm this is a local business and provide the GBP listing URL if available.
NAP not found in page HTMLCheck schema and meta tags. If still absent, flag as Critical issue. Recommend adding visible NAP to footer and contact page.
Industry vertical unclearPresent the top two detected verticals with supporting signals. Ask the user to confirm before applying industry-specific recommendations.
Multi-location with 50+ location pagesApply the quality gates from seo orchestrator: WARNING at 30+ pages (enforce 60%+ unique), HARD STOP at 50+ pages (require user justification before continuing).

FLOW Framework Integration

For prompt-guided local optimization, use /seo flow local <url> — FLOW's 11 local-stage prompts cover GBP optimization, meta descriptions, title tags, and structured local audit workflows.

Related skills

Forks & variants (1)

Seo Local has 1 known copy in the catalog totaling 28 installs. They canonicalize to this original listing.

How it compares

Local search audit with business-type routing, not a generic on-page SEO pass.

FAQ

What business types does seo-local detect?

Brick-and-mortar with a visible address, service area businesses without a public address, and hybrid models with both address and service-area language.

Which local signals does the skill analyze?

Google Business Profile, NAP consistency, citations, reviews, local schema, location pages, and multi-location SEO patterns.

Do SABs get the same map checks as storefronts?

No. Service area businesses skip embedded map verification and physical address consistency checks that apply to brick-and-mortar locations.

Is Seo Local safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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