[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C2MRA74VPA18Z72FXRR2M0":3,"skill-same:01M6C2MRA74VPA18Z72FXRR2M0":93},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":29,"publishedAt":57,"linkOnly":58,"markdownContent":59,"markdownBody":60,"frontMatter":61,"refName":68,"commitSha":69,"skillDirectory":70,"forksCount":14,"repositoryHtmlUrl":71,"repositoryHomepageUrl":6,"ownerHtmlUrl":72,"ownerBlogUrl":6,"ownerDescription":73,"updatedAt":74,"install":75,"resources":87},"01M6C2MRA74VPA18Z72FXRR2M0","seo-local",null,"Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical. Use when user says \"local SEO\", \"Google Business Profile\", \"GBP\", \"map pack\", \"local pack\", \"citations\", \"NAP consistency\", \"service area\", or \"multi-location\".","noirelab\u002Flinux-setup","noirelab","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142925921?v=4","01M6C29R3FEDGFAXAT0KXY28QX","Kaíque M. Lima","01M6C29R811WX04B0GYHTH1XV6",0,"MIT","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-local\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-local\u002FSKILL.md",[19,24],{"categoryNo":20,"categoryName":21,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":25,"categoryName":26,"taxonomyType":27,"taxonomyTypeDesc":28},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],"seo","local","seo local","business","when","hybrid","true","consistency","URL","seo analysis","recommendations","signals","map","schema","use","google","profile","user","quality","page","health","analysis","schema markup","Citations","Optimization","nap","review","2026-11-10 10:12:30",false,"---\nname: seo-local\ndescription: >\n  Local SEO analysis covering Google Business Profile optimization, NAP\n  consistency, citation health, review signals, local schema markup,\n  location page quality, multi-location SEO, and industry-specific\n  recommendations. Detects business type (brick-and-mortar, SAB, hybrid)\n  and industry vertical. Use when user says \"local SEO\", \"Google Business\n  Profile\", \"GBP\", \"map pack\", \"local pack\", \"citations\", \"NAP\n  consistency\", \"service area\", or \"multi-location\".\nuser-invocable: true\nargument-hint: \"[url]\"\nlicense: MIT\nmetadata:\n  author: AgriciDaniel\n  version: \"2.2.4\"\n  category: seo\n---\n\n# Local SEO Analysis (March 2026)\n\n## Key Statistics\n\n| Metric | Value | Source |\n|--------|-------|--------|\n| GBP signals share of local pack weight | 32% | Whitespark 2026 |\n| Proximity share of ranking variance | 55.2% | Search Atlas ML study |\n| Review signals share (up from 16%) | ~20% | Whitespark 2026 |\n| Google searches seeking local info | 46% | Industry data |\n| Mobile \"near me\" searches leading to visit in 24h | 76% | Google confirmed |\n| ChatGPT\u002FAI usage for local recommendations | 45% (up from 6%) | BrightLocal LCRS 2026 |\n| ChatGPT local conversion rate | 15.9% | Seer Interactive |\n| Google organic local conversion rate | 1.76% | Seer Interactive |\n| Local pack ads growth (Jan 2025 to Jan 2026) | 1% to 22% | Sterling Sky |\n\n---\n\n## Business Type Detection\n\nDetect from page signals before analysis. This determines which checks apply.\n\n### Brick-and-Mortar\n- Physical street address visible in page content or footer\n- Google Maps embed with pin\u002Fdirections\n- \"Visit us at\", \"Located at\", \"Come see us\"\n- Structured address in LocalBusiness schema\n\n### Service Area Business (SAB)\n- No visible physical address\n- Service area mentions: \"serving [city\u002Fregion]\", \"service area includes\"\n- \"We come to you\", \"On-site service\", \"Mobile [service]\"\n- `areaServed` in schema without `address.streetAddress`\n\n### Hybrid\n- Both physical address AND service area language present\n- \"Visit our showroom\" combined with \"We also serve [areas]\"\n\n**Impact on checks**: SABs skip embedded map verification and physical address consistency. Brick-and-mortar gets full NAP + map checks.\n\n---\n\n## Industry Vertical Detection\n\nDetect from page signals and GBP category patterns. Routes to industry-specific checks from `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`.\n\n| Vertical | Detection Signals |\n|----------|------------------|\n| **Restaurant** | \u002Fmenu, menu items, reservations, cuisine types, food ordering, \"dine-in\", \"takeout\" |\n| **Healthcare** | insurance accepted, patients, appointments, NPI, medical terms, \"Dr.\", HIPAA notice |\n| **Legal** | attorney, lawyer, practice areas, bar admission, case results, \"free consultation\" |\n| **Home Services** | service area, emergency service, \"free estimate\", licensed\u002Finsured\u002Fbonded, \"24\u002F7\" |\n| **Real Estate** | listings, MLS, properties for sale\u002Frent, agent bio, brokerage, \"open house\" |\n| **Automotive** | inventory, VIN, test drive, dealership, service department, \"new\u002Fused\u002Fcertified\" |\n\nIf no vertical detected, use generic `LocalBusiness` analysis path.\n\n---\n\n## Analysis Dimensions\n\n### 1. GBP Signals (25%)\n\nPrimary category is the **single most important local pack factor** (Whitespark #1, score: 193). Incorrect primary category is the **#1 negative factor** (score: 176).\n\n**Check for:**\n- GBP embed or reference detectable on page (Maps iframe, place ID, reviews widget)\n- Primary category appropriateness (infer from page content vs visible GBP data)\n- Evidence of secondary categories (optimal: 4 additional per BrightLocal)\n- GBP posts presence (no direct ranking impact per WebFX, but triggers Post Justifications)\n- Photos\u002Fvideo evidence (45% more direction requests with photos, Agency Jet)\n- Q&A content: check whether GBP Q&A is available for the business category\u002Fregion; optimize questions and owner answers when available\n- Google Verified badge eligibility (replaced Guaranteed\u002FScreened in Oct 2025)\n- GBP link URL strategy: do NOT link to strongest website page (Sterling Sky Diversity Update -- risks suppressing organic rankings)\n- Business hours visibility on page (businesses open at search time rank higher, factor #5)\n\n**Scoring guide:**\n- Full: GBP embed present, category signals align, posts active, photos present\n- Partial: Some GBP signals present but incomplete\n- Low: No visible GBP integration on website\n\n### 2. Reviews & Reputation (20%)\n\nReview velocity matters more than total count. The **18-day rule** (Sterling Sky): rankings cliff if no new reviews for 3 weeks.\n\n**Check for:**\n- Total Google review count visible on page or schema (magic threshold: 10, Sterling Sky)\n- Star rating (31% of consumers only use 4.5+, 68% only use 4+, BrightLocal 2026)\n- Review recency indicators (74% only care about reviews in last 3 months)\n- `aggregateRating` in schema (ratingValue, reviewCount, bestRating)\n- Third-party review presence (consumers use average of 6 review sites, BrightLocal 2026)\n- Owner response patterns (88% would use business that responds, BrightLocal)\n- Review gating detection: any pre-screening of satisfaction before directing to review platform is prohibited by Google (fake engagement policy) and FTC ($53,088\u002Fviolation)\n\n**Industry-specific:**\n- Healthcare: HIPAA prohibits confirming\u002Fdenying reviewer is a patient in responses\n- Legal: attorney-client privilege considerations in review responses\n\n**Scoring guide:**\n- Full: 10+ reviews, 4.5+ stars, recent activity, owner responses, multi-platform presence\n- Partial: Some reviews but gaps in recency, rating, or response rate\n- Low: \u003C10 reviews, no recent activity, no responses, single platform only\n\n### 3. Local On-Page SEO (20%)\n\nDedicated service pages = **#1 local organic factor AND #2 AI visibility factor** (Whitespark 2026).\n\n**Check for:**\n- Title tag contains city\u002Fservice keywords\n- H1 tag with local intent (city + service)\n- NAP (Name, Address, Phone) visible in page HTML (footer, contact section, header)\n- Dedicated service pages (one page per core service)\n- Location page quality for multi-location sites:\n  - **>60-70% unique content** minimum (industry consensus, no Google-confirmed threshold)\n  - **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\n  - Local photos, area-specific testimonials, local FAQs\n- Embedded Google Map (geographic signal reinforcement, not direct ranking factor -- lazy-load to mitigate speed impact)\n- Click-to-call button (`tel:` link) and contact form above the fold\n- Internal linking architecture: hub-and-spoke, every critical page within 3 clicks of homepage\n- 2-5 contextual internal links per 1,000 words with descriptive anchor text\n\n**Multi-location specific:**\n- Store locator with individual crawlable URLs (SSR\u002FSSG preferred over CSR)\n- Subdirectory structure: `domain.com\u002Flocations\u002Fcity-name\u002F` (subdirectories consolidate link equity better, Bruce Clay: 50%+ traffic lift)\n- Each location page has unique LocalBusiness schema with `@id`\n\n**Scoring guide:**\n- Full: City in title + H1, NAP visible, dedicated service pages, no doorway patterns, good internal linking\n- Partial: Some local signals but missing service pages or doorway page risk\n- Low: Generic title\u002FH1, NAP not visible, thin location pages\n\n### 4. NAP Consistency & Citations (15%)\n\nCitations 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.\n\n**Check for:**\n- NAP extraction: compare Name, Address, Phone from:\n  1. Visible page HTML (footer, contact page)\n  2. LocalBusiness JSON-LD schema\n  3. Any visible GBP data\n  - Flag any discrepancies between these three sources\n- Citation presence on Tier 1 directories (check via WebFetch or site: search patterns):\n  - Google Business Profile signals on page\n  - Yelp: `site:yelp.com \"Business Name\"`\n  - BBB: `site:bbb.org \"Business Name\"`\n  - Facebook business page references\n- **Apple Maps \u002F Apple business listings** awareness: claim and maintain Apple listings; treat Apple Business unified-platform launch\u002Frename claims as TechRadar-sourced and verify against Apple primary before asserting.\n- Bing Places awareness (powers ChatGPT, Copilot, Alexa -- recommend claiming and optimizing)\n- Industry-specific directory recommendations: load `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md` for per-vertical citation sources\n- Data aggregator awareness: Data Axle, Foursquare, Neustar\u002FTransUnion (recommend submission for downstream distribution)\n\n**Scoring guide:**\n- Full: Consistent NAP across page\u002Fschema, Tier 1 citations detected, industry directories present\n- Partial: NAP present but inconsistencies, some citations missing\n- Low: NAP discrepancies, no detectable citations, no schema address\n\n### 5. Local Schema Markup (10%)\n\nSchema 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.\n\n**Check for:**\n- LocalBusiness schema presence (extract JSON-LD blocks)\n- Required properties: `name`, `address` with PostalAddress sub-properties\n- Recommended properties: `geo` (minimum 5 decimal places, Confirmed), `openingHoursSpecification`, `telephone`, `url`, `priceRange` (\u003C100 chars), `image`, `aggregateRating`\n- **Correct subtype for industry** -- load `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`:\n  - Restaurant using `Restaurant` not generic `LocalBusiness`\n  - Legal using `LegalService` not deprecated `Attorney`\n  - Auto dealer using `AutoDealer` not deprecated `VehicleListing`\n  - Healthcare using `MedicalClinic`\u002F`Hospital`\u002F`Dentist` not generic `MedicalBusiness`\n- SAB-specific: `areaServed` with named cities (recommended, not in Google's official list but Schema.org supported)\n- Multi-location: each location page has own LocalBusiness with unique `@id`, linked via `branchOf` to Organization on homepage\n- Industry-specific schema patterns (per `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`):\n  - Restaurant: Menu + MenuSection + MenuItem + ReserveAction (note: Reservation\u002FOrder actions are not Google-supported rich results; value is machine-readable business data)\n  - Healthcare: Physician (Person) + MedicalSpecialty + sameAs to NPI\n  - Legal: LegalService + Person + Service (practice areas)\n  - Home Services: Subtype + areaServed + Service\n  - Real Estate: RealEstateAgent + Person + RealEstateListing\n  - Automotive: AutoDealer + Car + Offer (separate dept schemas)\n\n**Scoring guide:**\n- Full: Correct subtype, all recommended properties, industry-specific patterns, valid JSON-LD\n- Partial: LocalBusiness present but generic type or missing recommended properties\n- Low: No local schema, or schema with errors\u002Fplaceholder content\n\n### 6. Local Link & Authority Signals (10%)\n\nLinks 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**.\n\n**Check for:**\n- Local backlink indicators detectable from page:\n  - Chamber of Commerce mentions or links (high Trust Flow, ~80% more consumer visits, GlueUp)\n  - BBB accreditation\u002Fbadge (Google uses BBB for business verification)\n  - Local news\u002Fpress mentions\n  - Community involvement signals (sponsorships, local events, partnerships)\n- \"Best of\" list presence (top AI visibility factor per Whitespark 2026)\n- Digital PR signals: 66.2% of PR practitioners now track AI citations as KPI (BuzzStream 2026)\n- Brand mentions correlate **3x more strongly** with AI visibility than traditional backlinks (Ahrefs: 0.664 vs 0.218 correlation)\n- Link velocity benchmark: 5-10 quality local links\u002Fmonth for small businesses (consensus)\n\n**Scoring guide:**\n- Full: Local authority signals visible (chamber, BBB, press), community involvement evident\n- Partial: Some authority signals but limited local link indicators\n- Low: No detectable local authority signals\n\n---\n\n## AI Search Impact on Local\n\n**Do not duplicate seo-geo analysis.** Provide local-specific AI context and recommend `\u002Fseo geo \u003Curl>` for full analysis.\n\nKey local AI facts:\n- AI Overviews appear on up to 68% of local searches (Whitespark Q2 2025)\n- ChatGPT converts at 15.9% vs Google organic at 1.76% (Seer Interactive)\n- 3 of top 5 AI visibility factors are citation-related (Whitespark 2026)\n- ChatGPT does NOT access GBP directly -- sources from Bing index, Yelp, TripAdvisor, BBB, Reddit\n- Bing Places is critical: powers ChatGPT, Copilot, Alexa\n- Third-party observed local AI interface changes (mobile US) may show only 1-2 businesses, 32% fewer shown (Sterling Sky)\n\n**Recommendation**: Run `\u002Fseo geo \u003Curl>` for comprehensive AI search visibility analysis including citability scoring, llms.txt check, and brand mention audit.\n\n---\n\n## Reference Files\n\nLoad on-demand as needed:\n- `..\u002Fseo\u002Freferences\u002Flocal-seo-signals.md`: Ranking factors, review benchmarks, citation tiers, GBP feature status, algorithm updates\n- `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`: LocalBusiness subtypes by industry, schema patterns, citation sources per vertical\n\n---\n\n## Output\n\nGenerate `LOCAL-SEO-ANALYSIS-{domain}.md` with:\n\n1. **Local SEO Score: XX\u002F100** with dimension breakdown table\n2. **Business type**: Brick-and-mortar \u002F SAB \u002F Hybrid\n3. **Industry vertical detected** + industry-specific findings\n4. **GBP optimization checklist** (detected signals vs missing)\n5. **Review health snapshot** (rating, count, velocity indicators, response patterns)\n6. **NAP consistency audit** (page vs schema discrepancies, cross-source comparison)\n7. **Citation presence check** (Tier 1 directory status)\n8. **Local schema status** (present\u002Fmissing\u002Fmalformed + ready-to-use fix)\n9. **Location page quality** (if multi-location: unique content %, doorway risk, store locator)\n10. **Top 10 prioritized actions** (Critical > High > Medium > Low)\n11. **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\n\n---\n\n## Quick Wins\n\n1. Claim and optimize Apple Maps \u002F Apple business listings; verify any Apple Business launch\u002Frename claim against Apple primary first\n2. Claim and optimize Bing Places (powers ChatGPT, Copilot, Alexa)\n3. Fix any NAP discrepancies between page, schema, and GBP\n4. Add LocalBusiness schema with correct industry subtype\n5. Add `geo` coordinates with 5+ decimal precision\n6. Ensure phone number uses `tel:` link for click-to-call\n7. Add city + service keyword to title tag and H1\n\n## Medium Effort\n\n1. Create dedicated page for each core service (Whitespark: #1 local organic factor)\n2. Build review generation strategy maintaining 18-day minimum cadence\n3. Submit to three data aggregators (Data Axle, Foursquare, Neustar\u002FTransUnion) for downstream distribution\n4. Claim industry-specific directory listings (per vertical recommendations)\n5. Add industry-specific schema patterns (Menu for restaurants, Physician for healthcare, etc.)\n6. Implement hub-and-spoke internal linking for service\u002Flocation pages\n\n## High Impact\n\n1. Build local digital PR strategy targeting \"best of\" lists (#1 AI visibility factor)\n2. Develop unique, non-swappable content for each location page (>60% unique)\n3. Establish presence on platforms ChatGPT sources from (Yelp, TripAdvisor, BBB, Reddit)\n4. Pursue Chamber of Commerce and BBB membership (authority + verification signals)\n5. Create community involvement content (sponsorships, local events, partnerships)\n\n---\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `business_data_business_listings_search` for live GBP\u002Fbusiness-listing data extraction and citation auditing across directories, and `serp_organic_live_advanced` for real-time local pack positions.\n\n---\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |\n| No local signals detected on page | Report that no local business indicators were found. Suggest the user confirm this is a local business and provide the GBP listing URL if available. |\n| NAP not found in page HTML | Check schema and meta tags. If still absent, flag as Critical issue. Recommend adding visible NAP to footer and contact page. |\n| Industry vertical unclear | Present the top two detected verticals with supporting signals. Ask the user to confirm before applying industry-specific recommendations. |\n| Multi-location with 50+ location pages | Apply the quality gates from seo orchestrator: WARNING at 30+ pages (enforce 60%+ unique), HARD STOP at 50+ pages (require user justification before continuing). |\n\n## FLOW Framework Integration\n\nFor prompt-guided local optimization, use `\u002Fseo flow local \u003Curl>`, FLOW's 11 local-stage prompts cover GBP optimization, meta descriptions, title tags, and structured local audit workflows.\n","# Local SEO Analysis (March 2026)\n\n## Key Statistics\n\n| Metric | Value | Source |\n|--------|-------|--------|\n| GBP signals share of local pack weight | 32% | Whitespark 2026 |\n| Proximity share of ranking variance | 55.2% | Search Atlas ML study |\n| Review signals share (up from 16%) | ~20% | Whitespark 2026 |\n| Google searches seeking local info | 46% | Industry data |\n| Mobile \"near me\" searches leading to visit in 24h | 76% | Google confirmed |\n| ChatGPT\u002FAI usage for local recommendations | 45% (up from 6%) | BrightLocal LCRS 2026 |\n| ChatGPT local conversion rate | 15.9% | Seer Interactive |\n| Google organic local conversion rate | 1.76% | Seer Interactive |\n| Local pack ads growth (Jan 2025 to Jan 2026) | 1% to 22% | Sterling Sky |\n\n---\n\n## Business Type Detection\n\nDetect from page signals before analysis. This determines which checks apply.\n\n### Brick-and-Mortar\n- Physical street address visible in page content or footer\n- Google Maps embed with pin\u002Fdirections\n- \"Visit us at\", \"Located at\", \"Come see us\"\n- Structured address in LocalBusiness schema\n\n### Service Area Business (SAB)\n- No visible physical address\n- Service area mentions: \"serving [city\u002Fregion]\", \"service area includes\"\n- \"We come to you\", \"On-site service\", \"Mobile [service]\"\n- `areaServed` in schema without `address.streetAddress`\n\n### Hybrid\n- Both physical address AND service area language present\n- \"Visit our showroom\" combined with \"We also serve [areas]\"\n\n**Impact on checks**: SABs skip embedded map verification and physical address consistency. Brick-and-mortar gets full NAP + map checks.\n\n---\n\n## Industry Vertical Detection\n\nDetect from page signals and GBP category patterns. Routes to industry-specific checks from `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`.\n\n| Vertical | Detection Signals |\n|----------|------------------|\n| **Restaurant** | \u002Fmenu, menu items, reservations, cuisine types, food ordering, \"dine-in\", \"takeout\" |\n| **Healthcare** | insurance accepted, patients, appointments, NPI, medical terms, \"Dr.\", HIPAA notice |\n| **Legal** | attorney, lawyer, practice areas, bar admission, case results, \"free consultation\" |\n| **Home Services** | service area, emergency service, \"free estimate\", licensed\u002Finsured\u002Fbonded, \"24\u002F7\" |\n| **Real Estate** | listings, MLS, properties for sale\u002Frent, agent bio, brokerage, \"open house\" |\n| **Automotive** | inventory, VIN, test drive, dealership, service department, \"new\u002Fused\u002Fcertified\" |\n\nIf no vertical detected, use generic `LocalBusiness` analysis path.\n\n---\n\n## Analysis Dimensions\n\n### 1. GBP Signals (25%)\n\nPrimary category is the **single most important local pack factor** (Whitespark #1, score: 193). Incorrect primary category is the **#1 negative factor** (score: 176).\n\n**Check for:**\n- GBP embed or reference detectable on page (Maps iframe, place ID, reviews widget)\n- Primary category appropriateness (infer from page content vs visible GBP data)\n- Evidence of secondary categories (optimal: 4 additional per BrightLocal)\n- GBP posts presence (no direct ranking impact per WebFX, but triggers Post Justifications)\n- Photos\u002Fvideo evidence (45% more direction requests with photos, Agency Jet)\n- Q&A content: check whether GBP Q&A is available for the business category\u002Fregion; optimize questions and owner answers when available\n- Google Verified badge eligibility (replaced Guaranteed\u002FScreened in Oct 2025)\n- GBP link URL strategy: do NOT link to strongest website page (Sterling Sky Diversity Update -- risks suppressing organic rankings)\n- Business hours visibility on page (businesses open at search time rank higher, factor #5)\n\n**Scoring guide:**\n- Full: GBP embed present, category signals align, posts active, photos present\n- Partial: Some GBP signals present but incomplete\n- Low: No visible GBP integration on website\n\n### 2. Reviews & Reputation (20%)\n\nReview velocity matters more than total count. The **18-day rule** (Sterling Sky): rankings cliff if no new reviews for 3 weeks.\n\n**Check for:**\n- Total Google review count visible on page or schema (magic threshold: 10, Sterling Sky)\n- Star rating (31% of consumers only use 4.5+, 68% only use 4+, BrightLocal 2026)\n- Review recency indicators (74% only care about reviews in last 3 months)\n- `aggregateRating` in schema (ratingValue, reviewCount, bestRating)\n- Third-party review presence (consumers use average of 6 review sites, BrightLocal 2026)\n- Owner response patterns (88% would use business that responds, BrightLocal)\n- Review gating detection: any pre-screening of satisfaction before directing to review platform is prohibited by Google (fake engagement policy) and FTC ($53,088\u002Fviolation)\n\n**Industry-specific:**\n- Healthcare: HIPAA prohibits confirming\u002Fdenying reviewer is a patient in responses\n- Legal: attorney-client privilege considerations in review responses\n\n**Scoring guide:**\n- Full: 10+ reviews, 4.5+ stars, recent activity, owner responses, multi-platform presence\n- Partial: Some reviews but gaps in recency, rating, or response rate\n- Low: \u003C10 reviews, no recent activity, no responses, single platform only\n\n### 3. Local On-Page SEO (20%)\n\nDedicated service pages = **#1 local organic factor AND #2 AI visibility factor** (Whitespark 2026).\n\n**Check for:**\n- Title tag contains city\u002Fservice keywords\n- H1 tag with local intent (city + service)\n- NAP (Name, Address, Phone) visible in page HTML (footer, contact section, header)\n- Dedicated service pages (one page per core service)\n- Location page quality for multi-location sites:\n  - **>60-70% unique content** minimum (industry consensus, no Google-confirmed threshold)\n  - **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\n  - Local photos, area-specific testimonials, local FAQs\n- Embedded Google Map (geographic signal reinforcement, not direct ranking factor -- lazy-load to mitigate speed impact)\n- Click-to-call button (`tel:` link) and contact form above the fold\n- Internal linking architecture: hub-and-spoke, every critical page within 3 clicks of homepage\n- 2-5 contextual internal links per 1,000 words with descriptive anchor text\n\n**Multi-location specific:**\n- Store locator with individual crawlable URLs (SSR\u002FSSG preferred over CSR)\n- Subdirectory structure: `domain.com\u002Flocations\u002Fcity-name\u002F` (subdirectories consolidate link equity better, Bruce Clay: 50%+ traffic lift)\n- Each location page has unique LocalBusiness schema with `@id`\n\n**Scoring guide:**\n- Full: City in title + H1, NAP visible, dedicated service pages, no doorway patterns, good internal linking\n- Partial: Some local signals but missing service pages or doorway page risk\n- Low: Generic title\u002FH1, NAP not visible, thin location pages\n\n### 4. NAP Consistency & Citations (15%)\n\nCitations 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.\n\n**Check for:**\n- NAP extraction: compare Name, Address, Phone from:\n  1. Visible page HTML (footer, contact page)\n  2. LocalBusiness JSON-LD schema\n  3. Any visible GBP data\n  - Flag any discrepancies between these three sources\n- Citation presence on Tier 1 directories (check via WebFetch or site: search patterns):\n  - Google Business Profile signals on page\n  - Yelp: `site:yelp.com \"Business Name\"`\n  - BBB: `site:bbb.org \"Business Name\"`\n  - Facebook business page references\n- **Apple Maps \u002F Apple business listings** awareness: claim and maintain Apple listings; treat Apple Business unified-platform launch\u002Frename claims as TechRadar-sourced and verify against Apple primary before asserting.\n- Bing Places awareness (powers ChatGPT, Copilot, Alexa -- recommend claiming and optimizing)\n- Industry-specific directory recommendations: load `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md` for per-vertical citation sources\n- Data aggregator awareness: Data Axle, Foursquare, Neustar\u002FTransUnion (recommend submission for downstream distribution)\n\n**Scoring guide:**\n- Full: Consistent NAP across page\u002Fschema, Tier 1 citations detected, industry directories present\n- Partial: NAP present but inconsistencies, some citations missing\n- Low: NAP discrepancies, no detectable citations, no schema address\n\n### 5. Local Schema Markup (10%)\n\nSchema 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.\n\n**Check for:**\n- LocalBusiness schema presence (extract JSON-LD blocks)\n- Required properties: `name`, `address` with PostalAddress sub-properties\n- Recommended properties: `geo` (minimum 5 decimal places, Confirmed), `openingHoursSpecification`, `telephone`, `url`, `priceRange` (\u003C100 chars), `image`, `aggregateRating`\n- **Correct subtype for industry** -- load `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`:\n  - Restaurant using `Restaurant` not generic `LocalBusiness`\n  - Legal using `LegalService` not deprecated `Attorney`\n  - Auto dealer using `AutoDealer` not deprecated `VehicleListing`\n  - Healthcare using `MedicalClinic`\u002F`Hospital`\u002F`Dentist` not generic `MedicalBusiness`\n- SAB-specific: `areaServed` with named cities (recommended, not in Google's official list but Schema.org supported)\n- Multi-location: each location page has own LocalBusiness with unique `@id`, linked via `branchOf` to Organization on homepage\n- Industry-specific schema patterns (per `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`):\n  - Restaurant: Menu + MenuSection + MenuItem + ReserveAction (note: Reservation\u002FOrder actions are not Google-supported rich results; value is machine-readable business data)\n  - Healthcare: Physician (Person) + MedicalSpecialty + sameAs to NPI\n  - Legal: LegalService + Person + Service (practice areas)\n  - Home Services: Subtype + areaServed + Service\n  - Real Estate: RealEstateAgent + Person + RealEstateListing\n  - Automotive: AutoDealer + Car + Offer (separate dept schemas)\n\n**Scoring guide:**\n- Full: Correct subtype, all recommended properties, industry-specific patterns, valid JSON-LD\n- Partial: LocalBusiness present but generic type or missing recommended properties\n- Low: No local schema, or schema with errors\u002Fplaceholder content\n\n### 6. Local Link & Authority Signals (10%)\n\nLinks 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**.\n\n**Check for:**\n- Local backlink indicators detectable from page:\n  - Chamber of Commerce mentions or links (high Trust Flow, ~80% more consumer visits, GlueUp)\n  - BBB accreditation\u002Fbadge (Google uses BBB for business verification)\n  - Local news\u002Fpress mentions\n  - Community involvement signals (sponsorships, local events, partnerships)\n- \"Best of\" list presence (top AI visibility factor per Whitespark 2026)\n- Digital PR signals: 66.2% of PR practitioners now track AI citations as KPI (BuzzStream 2026)\n- Brand mentions correlate **3x more strongly** with AI visibility than traditional backlinks (Ahrefs: 0.664 vs 0.218 correlation)\n- Link velocity benchmark: 5-10 quality local links\u002Fmonth for small businesses (consensus)\n\n**Scoring guide:**\n- Full: Local authority signals visible (chamber, BBB, press), community involvement evident\n- Partial: Some authority signals but limited local link indicators\n- Low: No detectable local authority signals\n\n---\n\n## AI Search Impact on Local\n\n**Do not duplicate seo-geo analysis.** Provide local-specific AI context and recommend `\u002Fseo geo \u003Curl>` for full analysis.\n\nKey local AI facts:\n- AI Overviews appear on up to 68% of local searches (Whitespark Q2 2025)\n- ChatGPT converts at 15.9% vs Google organic at 1.76% (Seer Interactive)\n- 3 of top 5 AI visibility factors are citation-related (Whitespark 2026)\n- ChatGPT does NOT access GBP directly -- sources from Bing index, Yelp, TripAdvisor, BBB, Reddit\n- Bing Places is critical: powers ChatGPT, Copilot, Alexa\n- Third-party observed local AI interface changes (mobile US) may show only 1-2 businesses, 32% fewer shown (Sterling Sky)\n\n**Recommendation**: Run `\u002Fseo geo \u003Curl>` for comprehensive AI search visibility analysis including citability scoring, llms.txt check, and brand mention audit.\n\n---\n\n## Reference Files\n\nLoad on-demand as needed:\n- `..\u002Fseo\u002Freferences\u002Flocal-seo-signals.md`: Ranking factors, review benchmarks, citation tiers, GBP feature status, algorithm updates\n- `..\u002Fseo\u002Freferences\u002Flocal-schema-types.md`: LocalBusiness subtypes by industry, schema patterns, citation sources per vertical\n\n---\n\n## Output\n\nGenerate `LOCAL-SEO-ANALYSIS-{domain}.md` with:\n\n1. **Local SEO Score: XX\u002F100** with dimension breakdown table\n2. **Business type**: Brick-and-mortar \u002F SAB \u002F Hybrid\n3. **Industry vertical detected** + industry-specific findings\n4. **GBP optimization checklist** (detected signals vs missing)\n5. **Review health snapshot** (rating, count, velocity indicators, response patterns)\n6. **NAP consistency audit** (page vs schema discrepancies, cross-source comparison)\n7. **Citation presence check** (Tier 1 directory status)\n8. **Local schema status** (present\u002Fmissing\u002Fmalformed + ready-to-use fix)\n9. **Location page quality** (if multi-location: unique content %, doorway risk, store locator)\n10. **Top 10 prioritized actions** (Critical > High > Medium > Low)\n11. **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\n\n---\n\n## Quick Wins\n\n1. Claim and optimize Apple Maps \u002F Apple business listings; verify any Apple Business launch\u002Frename claim against Apple primary first\n2. Claim and optimize Bing Places (powers ChatGPT, Copilot, Alexa)\n3. Fix any NAP discrepancies between page, schema, and GBP\n4. Add LocalBusiness schema with correct industry subtype\n5. Add `geo` coordinates with 5+ decimal precision\n6. Ensure phone number uses `tel:` link for click-to-call\n7. Add city + service keyword to title tag and H1\n\n## Medium Effort\n\n1. Create dedicated page for each core service (Whitespark: #1 local organic factor)\n2. Build review generation strategy maintaining 18-day minimum cadence\n3. Submit to three data aggregators (Data Axle, Foursquare, Neustar\u002FTransUnion) for downstream distribution\n4. Claim industry-specific directory listings (per vertical recommendations)\n5. Add industry-specific schema patterns (Menu for restaurants, Physician for healthcare, etc.)\n6. Implement hub-and-spoke internal linking for service\u002Flocation pages\n\n## High Impact\n\n1. Build local digital PR strategy targeting \"best of\" lists (#1 AI visibility factor)\n2. Develop unique, non-swappable content for each location page (>60% unique)\n3. Establish presence on platforms ChatGPT sources from (Yelp, TripAdvisor, BBB, Reddit)\n4. Pursue Chamber of Commerce and BBB membership (authority + verification signals)\n5. Create community involvement content (sponsorships, local events, partnerships)\n\n---\n\n## DataForSEO Integration (Optional)\n\nIf DataForSEO MCP tools are available, use `business_data_business_listings_search` for live GBP\u002Fbusiness-listing data extraction and citation auditing across directories, and `serp_organic_live_advanced` for real-time local pack positions.\n\n---\n\n## Error Handling\n\n| Scenario | Action |\n|----------|--------|\n| URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again. |\n| No local signals detected on page | Report that no local business indicators were found. Suggest the user confirm this is a local business and provide the GBP listing URL if available. |\n| NAP not found in page HTML | Check schema and meta tags. If still absent, flag as Critical issue. Recommend adding visible NAP to footer and contact page. |\n| Industry vertical unclear | Present the top two detected verticals with supporting signals. Ask the user to confirm before applying industry-specific recommendations. |\n| Multi-location with 50+ location pages | Apply the quality gates from seo orchestrator: WARNING at 30+ pages (enforce 60%+ unique), HARD STOP at 50+ pages (require user justification before continuing). |\n\n## FLOW Framework Integration\n\nFor prompt-guided local optimization, use `\u002Fseo flow local \u003Curl>`, FLOW's 11 local-stage prompts cover GBP optimization, meta descriptions, title tags, and structured local audit workflows.\n",{"name":5,"license":15,"metadata":62,"description":65,"argument-hint":66,"user-invocable":67},{"author":63,"version":64,"category":30},"AgriciDaniel","2.2.4","Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical. Use when user says \"local SEO\", \"Google Business Profile\", \"GBP\", \"map pack\", \"local pack\", \"citations\", \"NAP consistency\", \"service area\", or \"multi-location\".\n","[url]",true,"main","d8378e461d60315bd1ca8a6e71716df39b6abe4a","configs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-local","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup","https:\u002F\u002Fgithub.com\u002Fnoirelab","Artificial Intelligence Researcher |\r\nComputer Science majoring at UTFPR","2026-11-11 09:12:51",{"source":8,"skillName":5,"commands":76,"prompt":86,"zipAvailable":67},[77,80,83],{"tool":78,"command":79},"npx","npx skills add noirelab\u002Flinux-setup --skill seo-local",{"tool":81,"command":82},"bunx","bunx skills add noirelab\u002Flinux-setup --skill seo-local",{"tool":84,"command":85},"pnpm","pnpm dlx skills add noirelab\u002Flinux-setup --skill seo-local","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fseo-local\u002FSKILL.md",[88],{"path":89,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":92,"sourceHtmlUrl":16},"LICENSE.txt","LICENSE","许可证",143,[94,124,159,184,203,219],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":99,"sourceHtmlUrl":100,"categories":101,"keywords":105,"publishedAt":57},"01M6C2Q1S6HCS7Y9TBQ2PJ2NAM","skill-creator","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fsynced\u002Ffcfa9261-0073-49cb-8312-19eea68f0c58_391f3767-a35d-4280-81a1-363cd861a8e6\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fclaude\u002Fskills\u002Fsynced\u002Ffcfa9261-0073-49cb-8312-19eea68f0c58_391f3767-a35d-4280-81a1-363cd861a8e6\u002Fskill-creator\u002FSKILL.md",[102],{"categoryNo":103,"categoryName":104,"taxonomyType":22,"taxonomyTypeDesc":23},"01JBSEEDCAT000000000000023","Skill与智能体开发",[106,107,108,109,110,111,112,113,114,51,115,116,44,117,118,119,120,121,122,34,123],"skill creator","creator","performance","run evals","test","variance analysis","create","run","benchmark","improve","edit","evals","optimize","existing skill","for","accuracy","scratch","new",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"publishedAt":57},"01M6C2ZRGJ9HN4N9BP24DPNCR4","returns-reverse-logistics","Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Freturns-reverse-logistics\u002FSKILL.md",[],[131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,44,147,148,149,150,151,152,153,154,155,120,156,157,34,158],"returns","returns reverse logistics","reverse logistics","reverse","github","code","product","https","authorization","detection","fraud","recovery","decisions","management","operations","vendor","claims management","frameworks","fraud detection","pattern","grading","processing","economics","managers","claims","expertise","refund","inspection",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":165,"publishedAt":57},"01M6C2ZGWSNZGZZQ5VCFWHD2QT","quality-nonconformance","Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Fquality-nonconformance\u002FSKILL.md",[],[48,166,135,167,168,136,169,138,170,171,172,173,51,174,144,44,175,176,177,178,179,180,181,182,120,156,183,34],"quality nonconformance","root cause analysis","interpretation","issues","audit","data","methodology","lifecycle","investigation","fda","across","manufacturing","environments","corrective action","supplier quality management","action","conformance","root cause",{"skillNo":185,"name":186,"nameZh":6,"description":187,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":188,"categories":189,"keywords":190,"publishedAt":57},"01M6C2Z8VQ9AYZYKPZW1KD9DX5","production-scheduling","Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC\u002Fdrum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP\u002FMES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Fproduction-scheduling\u002FSKILL.md",[],[191,192,193,135,136,194,138,54,51,195,196,44,197,198,148,199,200,201,177,202,120,156,34],"Production","production scheduling","scheduling","batch","erp","bottleneck","toc","patterns","line","interaction","sequencing","buffer",{"skillNo":204,"name":205,"nameZh":6,"description":206,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":207,"categories":208,"keywords":209,"publishedAt":57},"01M6C2YR01NNN2Z1G18RN7F9MP","logistics-exception-management","Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Flogistics-exception-management\u002FSKILL.md",[],[144,210,135,136,211,169,212,138,213,44,148,214,215,216,217,155,120,156,218,34],"logistics exception management","shipping","protocols","escalation","delivery","claude-code","judgment","with","freight",{"skillNo":220,"name":221,"nameZh":6,"description":222,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":6,"sourceHtmlUrl":223,"categories":224,"keywords":225,"publishedAt":57},"01M6C2YC5PXTEJYBJJQZVXPQS0","inventory-demand-planning","Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC\u002FXYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.","https:\u002F\u002Fgithub.com\u002Fnoirelab\u002Flinux-setup\u002Fblob\u002Fmain\u002Fconfigs\u002Fcommon\u002Fopencode_home\u002Fskills\u002Finventory-demand-planning\u002FSKILL.md",[],[226,227,228,229,135,136,138,230,54,231,51,144,146,232,44,233,148,234,235,236,237,238,120,156,239,34],"planning","inventory","inventory demand planning","demand planning","negotiation","Safety","forecasting","selection","estimation","stock","seasonal","lift","at","transition"]