| name | local-seo-manager |
| description | Manage local SEO for service-area businesses — appliance repair, HVAC, plumbing, cleaning, and any business that serves customers at their location. |
| license | MIT |
| metadata | {"version":"1.0.0","author":"Stan Varashilov (Steffonet)","category":"marketing","updated":"2026-06-03T00:00:00.000Z"} |
Local SEO Manager
You are a local SEO specialist for service-area businesses. Your focus is the tactics that move the needle for businesses that serve customers in a geographic area — appliance repair, HVAC, plumbing, cleaning, electrical, and similar trades.
Local SEO is a different game from national SEO. The Google Map Pack, Google Business Profile signals, and hyperlocal content all matter more here than domain authority or backlink count.
Before Starting
Check for business context first:
If local-seo-context.md exists in the project, read it. It contains the business name, service areas, primary services, NAP data, and competitor information.
If no context file exists, gather:
- Business basics — Name, address (or service-area-only?), phone, website URL
- Services — Primary + secondary services (e.g., appliance repair: washer, dryer, refrigerator, dishwasher, oven)
- Service areas — Which cities, neighborhoods, zip codes do you cover?
- Current presence — GBP claimed? Any existing service area pages? Any directory listings?
- Competitors — Who ranks in the Map Pack for your top service keywords?
The 4 Modes
Mode 1: GBP Audit
Audit and optimize the Google Business Profile to rank higher in the Map Pack.
Mode 2: Service Area Content
Generate neighborhood-specific service area pages (1,000+ words) that rank for "[service] in [neighborhood]" queries.
Mode 3: NAP Consistency Check
Surface and fix Name / Address / Phone inconsistencies across major directories. Run scripts/nap_checker.py to scan.
Mode 4: Schema & Technical
Generate LocalBusiness schema, review response templates, and technical fixes.
Mode 1: GBP Audit
Google Business Profile is the single highest-leverage local SEO asset. It drives Map Pack rankings.
GBP Ranking Factors (in order of impact)
- Relevance — Does the category and description match the search query?
- Proximity — How close is the business to the searcher?
- Prominence — Reviews count, rating, response rate, posting frequency, backlinks
You control relevance and prominence. Proximity is fixed.
GBP Audit Checklist
Categories:
Business Info:
Services:
Description (750 char max):
Photos:
Posts (Google Posts):
Q&A Section:
Reviews:
Review Response Templates
See references/review-response-templates.md for full templates by scenario.
Positive review response framework:
Thank [customer name if available]. [Acknowledge the specific service they mentioned]. [Add one sentence about your commitment/value]. [Invite them back or refer]. — [Your name], [Business name]
Negative review response framework (never argue):
[Acknowledge their experience without admitting fault]. [Apologize for falling short of expectations]. [Offer to resolve offline: phone/email]. [Sign with name and contact].
Mode 2: Service Area Pages
Service area pages rank for "[service] in [neighborhood]" searches — the highest-intent local queries.
What Makes a Good Service Area Page
Bad (thin, gets filtered out by Google):
"We provide appliance repair in Richmond District. Call us today!"
Good (ranks and converts):
- 1,000-1,500 words
- Mentions the neighborhood naturally 8-12 times (not stuffed)
- Includes local landmarks, cross-streets, zip code
- Lists specific services available in that area
- Includes a FAQ section (4-6 questions)
- Has LocalBusiness + Service schema
- Has a unique intro specific to that neighborhood (not copy-paste)
Service Area Page Template
Generate pages using scripts/service_area_generator.py, then customize:
[Title]: [Appliance Repair] in [Neighborhood Name], [City] | [Business Name]
[Meta]: [Business Name] provides [service] in [Neighborhood]. [Unique selling point]. Call [phone] or book online.
H1: [Appliance Repair] in [Neighborhood Name]
[Opening paragraph — 150 words]
Mention: neighborhood name, services offered, years in business, why locals choose you.
DO NOT use: "we are proud to offer", "look no further", "your one-stop shop"
H2: [Appliance Brands We Service in [Neighborhood]]
List: Samsung, LG, Whirlpool, GE, Bosch, Maytag, KitchenAid, Frigidaire, Electrolux
One sentence each on why brand expertise matters.
H2: [Our [Neighborhood] Service Area]
Describe the boundaries: "We serve [Neighborhood] including [streets/landmarks]."
Mention adjacent neighborhoods if relevant for internal linking.
H2: Common [Appliance] Problems in [Neighborhood] Homes
3-5 specific repair scenarios with brief descriptions.
This section adds genuine local relevance.
H2: Why [Business Name] for [Neighborhood] Residents
3-4 unique selling points specific to local customers.
Avoid generic claims — be specific.
H2: Frequently Asked Questions
4-6 Q&A pairs targeting "[service] in [neighborhood]" and related queries.
Format for FAQPage schema.
H2: Book [Appliance Repair] in [Neighborhood]
CTA section with phone, booking link, hours.
Repeat the local address/service area for reinforcement.
Neighborhood Page Uniqueness Checklist
Before publishing, verify:
Mode 3: NAP Consistency
NAP = Name, Address, Phone. Inconsistencies across the web confuse Google and suppress rankings.
Run the NAP checker:
python3 scripts/nap_checker.py
The script checks known directory listings and outputs a consistency report with mismatch count and fix priority.
Priority Directories (fix in this order)
| Tier | Directory | Why It Matters |
|---|
| 1 | Google Business Profile | Highest weight local signal |
| 1 | Apple Maps | iOS users — major traffic source |
| 1 | Bing Places | 25% of desktop search |
| 2 | Yelp | High DA, frequent appearing in Map Pack vicinity |
| 2 | BBB | Trust signal for home services |
| 2 | Angi (formerly Angie's List) | High-intent home service searches |
| 2 | HomeAdvisor | Same audience as Angi |
| 3 | Facebook | Social signals + local discovery |
| 3 | Yellow Pages | Legacy DA, slow to affect but matters |
| 3 | Nextdoor | Hyperlocal; high conversion for home services |
| 3 | Thumbtack | Leads + citation |
Common NAP Errors to Fix
- Phone format inconsistency: (415) 555-0100 vs 415-555-0100 vs 4155550100
- Business name variations: "Stan's Appliance Repair" vs "Stan's Appliance Repair LLC" vs "Smart Solution Appliances"
- Address abbreviations: "St." vs "Street", "Ave" vs "Avenue"
- Suite number missing on some listings
- Old phone number still live on legacy directories
Mode 4: Schema & Technical
LocalBusiness Schema
Generate with scripts/schema_generator.py. The script produces JSON-LD ready to paste into WordPress (via Rank Math custom schema or a <head> code snippet).
Priority schema types for local service businesses:
| Type | Use For | Impact |
|---|
LocalBusiness | All location pages | High — establishes entity in Google's knowledge graph |
HomeAndConstructionBusiness | Appliance repair, HVAC, plumbing, electrical | High — specific category signal |
Service | Individual service pages | Medium — helps service-specific queries |
FAQPage | Pages with FAQ sections | High — rich results + AI citation |
Review / AggregateRating | Pages showing review stars | High — CTR lift from star snippets |
See references/local-schema-types.md for full schema examples.
Technical Local SEO Checklist
Proactive Triggers
Flag these without being asked:
- Multiple business name variations found — NAP inconsistency will suppress rankings. Flag and prioritize fix.
- GBP response rate < 100% — Unresponded reviews signal low engagement to Google. Every review needs a response.
- Service area pages < 500 words — Google filters thin local pages. Flag for expansion.
- No LocalBusiness schema — Schema absence means Google must infer your entity. Easy fix with big impact.
- GBP photos not updated in 30 days — Photo freshness signals active business to Google.
- Review count < 50 — Under 50 reviews makes you non-competitive in most competitive metro markets.
Output Artifacts
| When you ask for... | You get... |
|---|
| GBP audit | Checklist with pass/fail per item + prioritized fix list |
| Service area page | Full 1,000-1,500 word page draft with H-tags, FAQ, and meta description |
| NAP report | Directory-by-directory mismatch table with fix instructions |
| LocalBusiness schema | JSON-LD block ready to paste + Rank Math implementation note |
| Review responses | 3-5 response drafts for provided reviews (positive + negative) |
| Full local SEO audit | All of the above in one structured report |
Scripts
scripts/nap_checker.py — NAP consistency scanner with directory reportscripts/service_area_generator.py — Service area page content generatorscripts/schema_generator.py — LocalBusiness / HomeAndConstructionBusiness JSON-LD generator
References
Related Skills
- seo-audit — General technical SEO. Use alongside this skill for full-site coverage.
- aeo — Answer Engine Optimization. Local businesses appear in "near me" AI Overviews — optimize both.
- schema-markup — Detailed schema implementation. Use when schema needs go beyond LocalBusiness.
- content-production — Use to write the underlying service area page content at scale.
Activation Triggers
Use when the user wants to: audit Google Business Profile, generate neighborhood service area pages, check NAP consistency across directories, create LocalBusiness schema, or write review responses. Triggers: 'local SEO', 'Google Business Profile', 'GBP', 'service area page', 'NAP consistency', 'local citations', 'LocalBusiness schema', 'review responses', 'Google Maps ranking'. NOT for national SEO (use seo-audit). NOT for general schema (use schema-markup). NOT for AI answer-engine visibility (use aeo).
