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Local Citations

Community
garrettjsmith
local-citations

When the user wants to build citations, fix NAP inconsistencies, manage business directory listings, or audit citation presence. Also use when the user mentions "citations," "NAP consistency," "business directories," "listing management," "data aggregators," or "citation cleanup." For GBP profile work, see gbp-optimization. For full audit, see local-seo-audit.

Overview

Publishergarrettjsmith
Repositorylocalseoskills
Skill namelocal-citations
Stars
140
Forks
27
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 garrettjsmith on GitHub. Read the source before you install it.

Installation

Install the Local Citations 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/garrettjsmith/localseoskills/tree/main/skills/local-citations
  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/garrettjsmith/localseoskills.git /tmp/localseoskills
mkdir -p .claude/skills
cp -r /tmp/localseoskills/skills/local-citations .claude/skills/local-citations
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Local Citations 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 Local Citations 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 Local Citations 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 Citations

Default data tool: LocalSEOData (localseodata-tool). Use citation_audit to check NAP consistency across 20 directories in one call (50 credits). For citation building/submission, use Whitespark or BrightLocal.

You are an expert in local citation strategy. Your goal is to build a consistent, authoritative citation profile that reinforces NAP data across the web and supports local ranking signals.

What is a Citation?

A citation is any online mention of a business's Name, Address, and Phone number (NAP). Two types:

  • Structured citations: Directory listings (Yelp, BBB, industry directories) with formatted NAP fields
  • Unstructured citations: Mentions on blogs, news sites, or other pages where NAP appears in text

NAP Consistency Rules

Name: Character-for-character match. "Smith's Plumbing" ≠ "Smiths Plumbing" ≠ "Smith Plumbing LLC" Address: Exact formatting. "123 Main St Ste 200" everywhere — not "Suite" on some and "Ste" on others Phone: Same primary number everywhere. If using a tracking number, it must also appear on your website

Common Inconsistencies

  • Old addresses from a previous location
  • DBA vs. legal name variations
  • Suite/unit number present on some, missing on others
  • Toll-free vs. local number
  • Different phone from call tracking implementations
  • Abbreviation mismatches (St/Street, Ave/Avenue)

Citation Building Priority

Tier 1: Essential (Do First)

  • Google Business Profile
  • Apple Maps / Apple Business Connect
  • Bing Places for Business
  • Facebook Business Page
  • Yelp

Tier 2: Data Aggregators

These feed data to hundreds of smaller directories:

  • Data Axle (formerly Infogroup)
  • Neustar/Localeze
  • Foursquare

Tier 3: Major Directories

  • BBB (Better Business Bureau)
  • Yellow Pages / YP.com
  • Angi (Angie's List)
  • Thumbtack
  • MapQuest
  • Superpages
  • Manta
  • Citysearch

Tier 4: Industry-Specific

Examples by vertical:

  • Healthcare: Healthgrades, Vitals, WebMD, Zocdoc
  • Legal: Avvo, FindLaw, Justia, Martindale
  • Home services: HomeAdvisor, Porch, Houzz
  • Restaurants: OpenTable, TripAdvisor, Zomato
  • Real estate: Zillow, Realtor.com, Redfin
  • Auto: CarFax, Cars.com, AutoTrader

Tier 5: Local & Niche

  • Local Chamber of Commerce
  • Local business associations
  • City/town business directories
  • State professional association directories
  • Niche industry directories

Citation Audit Process

  1. Search "business name" "phone number" to find existing citations
  2. Search "business name" "address" for additional mentions
  3. Check major directories manually
  4. Use citation audit tools (BrightLocal, Whitespark, Moz Local)
  5. Document every listing: URL, current NAP, accuracy status
  6. Prioritize fixes: wrong info on high-authority sites first

Citation Cleanup

Fix Priority Order

  1. Tier 1 directories (Google, Apple, Bing, Yelp, Facebook)
  2. Data aggregators (Data Axle, Neustar, Foursquare)
  3. High-authority directories with wrong information
  4. Duplicate listings on any directory
  5. Industry-specific directories
  6. Lower-authority directories

How to Fix

  • Claim and update: Most directories allow you to claim the listing
  • Submit corrections: Use the directory's correction/update form
  • Data aggregator updates: Fix at the source — changes propagate downstream
  • Duplicate suppression: Merge or mark duplicates on each platform

Citation Building for Multi-Location

At Scale

  • Use data aggregator submissions to cascade to smaller directories
  • Bulk submit to Tier 1-3 directories
  • Prioritize industry-specific directories by location
  • Maintain a master spreadsheet of all citations per location

Per-Location Tracking

Track per location:

  • Total citations
  • Percentage accurate
  • Missing from which Tier 1 directories
  • Industry-specific directory coverage

Output Format

Citation Audit Report

  • Total citations found
  • Accuracy rate (% consistent NAP)
  • Tier-by-tier coverage
  • Specific listings needing correction
  • Missing directory opportunities
  • Prioritized action plan

Task-Specific Questions

  1. What is the exact NAP (as it should appear everywhere)?
  2. Has the business moved, changed names, or changed phone numbers?
  3. Single location or multi-location?
  4. What industry? (determines industry-specific directories)
  5. Has any citation work been done previously?

What to Do Next

What You FoundNext ActionSkill
Citations are clean but GBP isn't optimizedGBP is the #1 citation — optimize it firstgbp-optimization
Found NAP inconsistencies during auditFix citations as part of the broader audit action planlocal-seo-audit
Website schema doesn't match citation dataAlign schema with corrected NAPlocal-schema
Managing citations for multiple locationsBuild a citation management system per-locationmulti-location-seo
Citations are clean but still not rankingCitations alone won't fix ranking — run a geogrid scan to diagnosegeogrid-analysis

Default next step: After citation cleanup, wait 4-8 weeks for changes to propagate through aggregators and downstream directories, then re-audit to verify.

Tools for This Skill

See docs/tool-routing to pick based on what's connected.

  • Citation audit (find listings, check accuracy) → citation tools (multiple options)
  • Citation building (submit to directories) → citation tools (multiple options — quality varies)

Frequently asked questions

What does the Local Citations AI skill do?

When the user wants to build citations, fix NAP inconsistencies, manage business directory listings, or audit citation presence. Also use when the user mentions "citations," "NAP consistency," "business directories," "listing management," "data aggregators," or "citation cleanup." For GBP profile work, see gbp-optimization. For full audit, see local-seo-audit.

Why use Local Citations on TypingMind?

Because you install it once and use it with any model. Local Citations 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 Local Citations in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrettjsmith/localseoskills/tree/main/skills/local-citations. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Local Citations?

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 Local Citations?

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

Is the Local Citations AI skill free?

Yes. It is published on GitHub by garrettjsmith 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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