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Memstack Seo Local Seo

Community
cwinvestments
memstack-seo-local-seo

Use this skill when the user says 'local SEO', 'Google Business Profile', 'local search', 'NAP consistency', 'local listings', 'Google Maps', 'local pack', or is optimizing a business for local search results and map visibility. Do NOT use for general SEO audits or national keyword research.

Overview

Publishercwinvestments
Repositorymemstack
Skill namememstack-seo-local-seo
Stars
425
Forks
45
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cwinvestments on GitHub. Read the source before you install it.

Installation

Install the Memstack Seo Local Seo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cwinvestments/memstack/tree/master/skills/seo-geo/local-seo
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cwinvestments/memstack.git /tmp/memstack
mkdir -p .claude/skills
cp -r /tmp/memstack/skills/seo-geo/local-seo .claude/skills/memstack-seo-local-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memstack Seo Local Seo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Memstack Seo Local Seo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Memstack Seo Local Seo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

📍 Local SEO: Optimizing for local search and map visibility...

Evaluates Google Business Profile, NAP consistency, local schema markup, location pages, citations, and review management, producing an actionable local SEO scorecard.

Activation

When this skill activates, output:

📍 Local SEO, Checking local search presence and consistency...

Then execute the protocol below.

ContextStatus
User says "local SEO" or "Google Business Profile" or "local search"ACTIVE
User says "NAP consistency" or "local listings" or "Google Maps"ACTIVE
Optimizing a business with a physical location or service areaACTIVE
Running a general site audit (broader scope)DORMANT: use site-audit
Optimizing for global/national keywords (no local component)DORMANT

Anti-patterns

TrapReality Check
"We're online-only, local SEO doesn't apply"If you serve specific regions or have a registered address, local SEO applies. Service-area businesses benefit enormously.
"Google Business Profile is set and forget"GBP needs regular updates: posts, photos, Q&A responses, review replies. Stale profiles rank lower.
"Our address is on the Contact page, that's enough"NAP must be consistent across every directory, citation, and page. One inconsistency can split your local authority.
"Reviews don't affect ranking"Reviews are a top-3 local ranking factor. Quantity, quality, recency, and response rate all matter.
"We don't need location pages"If you serve multiple areas, each needs a unique page with local content, not boilerplate with swapped city names.

Protocol

Step 1: Check Google Business Profile

Verify the GBP listing is optimized:

GBP optimization checklist:

ElementCheckBest Practice
Business nameMatches legal business name exactlyNo keyword stuffing in the name
Primary categoryMost specific category selected"Italian Restaurant" not just "Restaurant"
Secondary categories2-5 relevant additional categoriesCover all services offered
AddressComplete, matches website exactlyInclude suite/unit number if applicable
PhoneLocal number, matches websiteAvoid tracking numbers on GBP
Website URLLinks to homepage or location pageNot a redirect, not a social profile
HoursCurrent, including holidaysUpdate for seasonal changes
Description750 chars, includes keywords naturallyDescribe what makes you different
Photos10+ recent photosInterior, exterior, team, products, menu
PostsWeekly updatesEvents, offers, updates, products
Q&ACommon questions answered proactivelySeed with your own FAQs
Services/MenuListed with prices if applicableComplete and current
AttributesAll relevant attributes selectedWi-Fi, parking, accessibility, etc.

GBP health indicators:

SignalHealthyUnhealthy
Profile completeness100% filledMissing description, hours, or photos
Photo count10+ with recent uploads0-2 photos, outdated
Review count20+ with 4.0+ average< 5 reviews or below 3.5
Response rate100% of reviews repliedUnanswered reviews
Post frequencyWeeklyNo posts in 30+ days
Q&AProactive answersUnanswered questions

Step 2: Verify NAP Consistency

NAP (Name, Address, Phone) must be identical everywhere:

bash
# Check website for NAP occurrences
grep -rn "address\|phone\|tel:\|street\|suite\|zip\|postal" --include="*.tsx" --include="*.jsx" --include="*.html" --include="*.json" . | grep -v node_modules

NAP consistency audit:

SourceNameAddressPhoneConsistent?
Website (footer)???Baseline
Website (contact page)???Match?
Google Business Profile???Match?
Yelp???Match?
Facebook???Match?
Apple Maps???Match?
BBB???Match?
Industry directories???Match?

Common NAP inconsistencies:

IssueExampleFix
Abbreviation mismatch"St" vs "Street" vs "St."Pick one format, use everywhere
Suite format"#100" vs "Suite 100" vs "Ste 100"Standardize to one format
Phone format"(555) 123-4567" vs "555-123-4567"Use one format consistently
Business name"Acme LLC" vs "Acme" vs "ACME Inc."Use exact legal name
Old addressMoved but didn't update all listingsUpdate every citation

Step 3: Check Local Schema Markup

bash
# Search for LocalBusiness schema
grep -rn "LocalBusiness\|PostalAddress\|GeoCoordinates\|openingHours" --include="*.tsx" --include="*.jsx" --include="*.html" . | grep -v node_modules

Required LocalBusiness schema:

json
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[Business Name]",
  "description": "[Business description]",
  "url": "https://[domain]",
  "telephone": "[phone]",
  "email": "[email]",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[street]",
    "addressLocality": "[city]",
    "addressRegion": "[state]",
    "postalCode": "[zip]",
    "addressCountry": "US"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "[lat]",
    "longitude": "[lng]"
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      "opens": "09:00",
      "closes": "17:00"
    }
  ],
  "image": "https://[domain]/images/storefront.jpg",
  "priceRange": "$$",
  "sameAs": [
    "https://facebook.com/[page]",
    "https://yelp.com/biz/[listing]"
  ]
}

Use the most specific @type:

Business TypeSchema Type
RestaurantRestaurant
Law firmLegalService or Attorney
DentistDentist
Real estateRealEstateAgent
Auto repairAutoRepair
GenericLocalBusiness

Step 4: Verify Location Pages

For businesses serving multiple locations:

bash
# Check for location pages
find app/ pages/ -path "*location*" -o -path "*city*" -o -path "*area*" 2>/dev/null | grep -v node_modules

Location page requirements:

ElementRequiredWhy
Unique title with city nameYes"Plumbing Services in Austin, TX" ranks locally
Unique meta descriptionYesDescribes services specific to that area
Unique content (300+ words)YesBoilerplate with swapped city names gets penalized
Embedded Google MapRecommendedShows exact location, helps Google confirm address
Local testimonialsRecommendedReviews from customers in that area
NAP for that locationYesSpecific address and phone for that location
LocalBusiness schemaYesWith location-specific address
Service-area mentionYesNeighborhoods, suburbs, or zip codes served
Local landmarks/referencesRecommended"Located near [landmark], serving [neighborhoods]"

Red flags for location pages:

  • ❌ Same content on every location page with only the city name swapped
  • ❌ No actual presence in the claimed location
  • ❌ Keyword-stuffed city names ("Austin plumber Austin TX plumbing Austin")
  • ❌ Doorway pages that all redirect to the same main page

Step 5: Check Local Keyword Targeting

bash
# Check for local keywords in titles and headings
grep -rn "title:\|<h1\|<H1\|<h2\|<H2" --include="*.tsx" --include="*.jsx" --include="*.md" . | grep -v node_modules | head -20

Local keyword patterns:

PatternExampleWhere to Use
[Service] in [City]"Plumbing in Austin"Title tag, H1, meta description
[City] [Service]"Austin plumber"Body content, H2 headings
[Service] near [Landmark]"Dentist near UT Austin"Body content
[Service] [Neighborhood]"HVAC repair East Austin"Location pages
Best [Service] in [City]"Best pizza in Austin"Blog posts
[Service] [City] [State]"Attorney Austin TX"Schema, footer

Local keyword placement:

LocationPriorityNotes
Title tagHigh"[Service] in [City] - [Brand]"
H1 headingHighInclude city name once naturally
Meta descriptionHighMention service area
First paragraphMediumNatural mention of location
FooterMediumFull NAP in every page footer
Image alt textMedium"Team at [Brand] [City] office"
URL slugMedium/locations/austin-tx

Step 6: Review Citations and Directories

Key citation sources to verify:

Tier 1: Essential (verify first):

DirectoryWhy It Matters
Google Business Profile#1 local ranking factor
Apple Maps / Apple Business ConnectiOS users, Siri results
Bing PlacesBing search, Cortana
YelpHigh domain authority, reviews
Facebook BusinessSocial signals, reviews
Better Business BureauTrust signals

Tier 2: Industry-specific:

IndustryDirectories
RestaurantsTripAdvisor, OpenTable, Zomato
LegalAvvo, FindLaw, Justia
MedicalHealthgrades, Zocdoc, WebMD
Real estateZillow, Realtor.com, Redfin
Home servicesHomeAdvisor, Angi, Thumbtack
GeneralYellowPages, Manta, MapQuest

Citation audit:

  • Verify NAP is identical on every listing
  • Remove duplicate listings on the same directory
  • Claim unclaimed listings (competitors can edit them)
  • Add missing listings for uncovered directories

Step 7: Check Review Management

bash
# Check for review schema
grep -rn "Review\|AggregateRating\|ratingValue" --include="*.tsx" --include="*.jsx" . | grep -v node_modules

Review strategy checklist:

ElementStatusAction
Google review count[count]Target 20+ for local visibility
Average rating[X.X]Maintain 4.0+
Review recencyLast review [date]Get 1-2 new reviews per month minimum
Response rate[X]%Reply to 100% of reviews (positive and negative)
Review schema on site[✅/❌]Add AggregateRating if you display reviews
Review request process[✅/❌]Send post-service email with review link

Review response templates:

Positive review response:

"Thank you [Name]! We're glad [specific detail they mentioned]. We appreciate your business and look forward to helping you again."

Negative review response:

"Thank you for your feedback, [Name]. We're sorry about [specific issue]. We'd like to make this right, please contact us at [email/phone] so we can resolve this for you."

Review rules:

  • Never buy or fake reviews: Google detects and penalizes
  • Don't offer incentives for reviews (violates most platform ToS)
  • Respond within 24-48 hours
  • Always address specific concerns in negative reviews
  • Use the reviewer's name and reference specific details

Step 8: Output Local SEO Scorecard

📍 Local SEO: Scorecard Complete

Business: [name]
Location(s): [city/cities]
Overall local score: [X/100]

Category scores:
  Google Business Profile:  [X/10]: [summary]
  NAP consistency:          [X/10]: [count] inconsistencies found
  Local schema:             [X/10]: [present/missing]
  Location pages:           [X/10]: [count] pages, unique content check
  Local keywords:           [X/10]: [coverage summary]
  Citations/directories:    [X/10]: [count] verified, [count] missing
  Reviews:                  [X/10]: [count] reviews, [rating] avg

Priority action items:
  🔴 Critical:
    1. [e.g., "Claim unclaimed Google Business Profile"]
    2. [e.g., "Fix NAP inconsistency on Yelp listing"]
  🟠 High:
    3. [e.g., "Add LocalBusiness schema to homepage"]
    4. [e.g., "Create unique location pages for 3 service areas"]
  🟡 Medium:
    5. [e.g., "Add local keywords to title tags"]
    6. [e.g., "Submit to 5 missing citation directories"]
  🔵 Low:
    7. [e.g., "Implement review request email workflow"]

Next steps:
1. Fix all Critical items this week
2. Submit to missing citation directories
3. Set up review request workflow
4. Update GBP with weekly posts and fresh photos
5. Re-audit in 3 months

Level History

  • Lv.1: Base: Google Business Profile audit, NAP consistency verification, LocalBusiness schema generation, location page requirements, local keyword targeting, citation/directory audit, review management with response templates, scored local SEO output. (Origin: MemStack Pro v3.2, Mar 2026)

Frequently asked questions

What does the Memstack Seo Local Seo AI skill do?

Use this skill when the user says 'local SEO', 'Google Business Profile', 'local search', 'NAP consistency', 'local listings', 'Google Maps', 'local pack', or is optimizing a business for local search results and map visibility. Do NOT use for general SEO audits or national keyword research.

Why use Memstack Seo Local Seo on TypingMind?

Because you install it once and use it with any model. Memstack Seo Local Seo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Memstack Seo Local Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cwinvestments/memstack/tree/master/skills/seo-geo/local-seo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memstack Seo Local Seo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Memstack Seo Local Seo?

As many as you like. As long as a model supports skills, you can use Memstack Seo Local Seo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Memstack Seo Local Seo AI skill free?

Yes. It is published on GitHub by cwinvestments under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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