How LocalSEOSkills Works: AI + Skills + Data

This page is for people who arrived at LocalSEOSkills and thought “this sounds interesting but I don’t understand how it actually works.” Fair question. Let’s answer it without technical jargon.

The system has three layers. Each does something distinct. Together, they produce something that can analyze your specific business’s specific situation and tell you exactly what to do.

The Three Layers

Layer 1: The AI — Claude

Claude is the intelligence. It understands language, reasons about problems, synthesizes information, and generates outputs. When you type a question or request, Claude processes it.

Think of Claude as a highly capable assistant who can read, write, analyze, and explain — but who arrives knowing nothing about your specific business or the current state of local search.

Claude is made by Anthropic. You access it through Claude.ai (browser) or Claude Code (terminal). LocalSEOSkills runs on Claude.

Layer 2: The Skills — 36 Expertise Files

The Skills are structured knowledge about how local SEO works. They’re 36 text files containing:

  • What to look for when auditing a GBP profile
  • How to benchmark against competitors
  • What citation tiers matter and why
  • How to interpret geogrid data
  • What signals drive AI visibility
  • How to prioritize recommendations
  • What good review responses look like
  • And 30 more specialized knowledge areas

Without skills, Claude is smart but generic. It can give you general advice about local SEO based on its training. But it doesn’t have a structured methodology for auditing, doesn’t know the specific benchmarks that matter, and doesn’t have expertise in the nuances of local search optimization.

The skills turn Claude from a general intelligence into a local SEO specialist. They encode 20+ years of practitioner knowledge into executable frameworks.

Layer 3: The Data — LocalSEOData

LocalSEOData provides live information about your actual business and your actual market. It’s an API service with 36 endpoints that return:

  • Your complete GBP profile and completeness score
  • Your citations across directories
  • Your reviews and sentiment analysis
  • Your geogrid rankings across your service area
  • Your competitors in the local pack
  • Your AI visibility across platforms
  • And 30 more data points

Without data, the skills have no live information to work with. Claude could tell you “make sure your categories are optimized” but couldn’t tell you which categories you’re missing vs. what competitors have.

With data, the advice becomes specific: “You’re missing Residential HVAC Service and Emergency HVAC Service as secondary categories. All three of your top competitors have these. Add them.”

What Happens When You Type a Prompt

Let’s trace through exactly what happens when you type:

You type: “Audit the GBP profile for Smith’s Plumbing in Phoenix and tell me what to fix.”

Step 1: Dispatch

The dispatch skill — a special skill that routes requests — reads your prompt and identifies: “This is an audit request for a GBP profile.” It determines which skills and data endpoints are relevant.

Step 2: Skill Activation

The gbp-optimization skill activates. This skill contains:

  • The eight dimensions of GBP optimization
  • What completeness scores indicate
  • How to compare against competitors
  • The priority framework for recommendations
  • What “good” looks like for each dimension

Step 3: Data Retrieval

The localseodata-tool connects to LocalSEOData’s API and pulls:

  • Smith’s Plumbing complete GBP profile
  • Their completeness score (let’s say 67%)
  • The top 3 competitors in the “plumber Phoenix” local pack
  • Those competitors’ GBP profiles and scores

Step 4: Synthesis

Claude combines all of this:

  • The expertise framework from the skill (what to look for, how to prioritize)
  • The live data from the API (your specific profile and competitors)
  • Its own intelligence (reasoning about the gaps and generating recommendations)

Step 5: Output

You receive a prioritized audit:

“Smith’s Plumbing GBP Completeness: 67% (below competitive threshold of 80%)

Priority 1: Add secondary categories

  • Missing: Emergency Plumber, Residential Plumbing Service
  • All top 3 competitors have these
  • Impact: High (category relevance is major ranking signal)

Priority 2: Respond to 4 unanswered reviews

  • Current response rate: 71%
  • Target: 90%+
  • Impact: High (response rate affects ranking and conversion)

Priority 3: Add 8 more photos

  • Current: 7 photos
  • Competitor average: 18 photos
  • Needed: Exterior, team, recent work examples
  • Impact: Medium

[Continues with specific, actionable recommendations…]”

The whole sequence takes about 30 seconds.

Why This Is Different From Just Asking ChatGPT

ChatGPT without LocalSEOSkills can give you general local SEO advice based on its training data. It can tell you “make sure your GBP profile is complete” and “get more reviews.”

But it doesn’t have:

  • Your specific business’s current GBP data
  • Your current citation profile
  • Your competitive position in the local pack
  • Your geogrid rankings across your service area
  • A structured methodology for local SEO auditing

It can tell you “add secondary categories” — but it can’t tell you which categories, based on what your top 3 competitors are using, in your specific market, for your specific primary keyword.

The skill + data layer makes the advice specific rather than generic.

That specificity is the difference between “here are some local SEO tips” and “here’s exactly what’s wrong with your presence and what to fix in order of priority.”

The Open-Source Part in Plain Language

“Open source” means the 36 skills are publicly available files anyone can:

  • Download for free
  • Read to understand exactly what they contain
  • Modify if you want to change how something works
  • Use with no licensing fees

There’s no black box. You can open the gbp-optimization skill file and read exactly what it knows — the dimensions it checks, the benchmarks it uses, the logic behind its recommendations.

This is different from every other local SEO tool. Most tools are proprietary. You give them data, they give you a score, and you don’t know how they calculated it or what methodology they used.

With LocalSEOSkills, the expertise is transparent. You can audit the auditor.

The skills live on GitHub, maintained by practitioners, improved over time through community contribution.

How to Set It Up (Two Paths)

Path 1 — Upload a Zip File (5 minutes)

For business owners and marketers who want the simplest approach:

  1. Download the LocalSEOSkills zip file from the website
  2. Open Claude.ai in your browser
  3. Start a new conversation
  4. Upload the zip file
  5. Start using prompts

That’s it. No installation, no terminal, no code. The skills become available in that conversation.

Path 2 — Claude Code (15 minutes)

For practitioners who want deeper integration:

  1. Install Claude Code (terminal application)
  2. Clone the LocalSEOSkills repository
  3. Configure your LocalSEOData API key
  4. Run Claude Code from the skills directory

This path gives you persistent skill access across sessions and more control over configuration. It requires comfort with a terminal but no actual coding.

What Claude Does and What You Do

Claude does:

  • Analyzes your GBP profile and identifies issues
  • Compares your signals to competitors
  • Prioritizes recommendations based on impact
  • Generates review responses, post content, strategy documents
  • Interprets geogrid data and ranking trends
  • Measures AI visibility across platforms

You do:

  • Log into GBP and make the changes Claude recommends
  • Submit citations to directories
  • Post content to Google Business Profile
  • Respond to customers when they contact you
  • Execute any offline business improvements

Claude can’t make changes to your GBP directly — only you have that login authority. Claude can’t submit citations on your behalf — you (or a service you pay) handle submission.

Think of it as: Claude is the strategist and analyst. You’re the operator who executes.

Your First Prompt

Once LocalSEOSkills is loaded, try this:

Run a local SEO audit for [Your Business Name] at [Your Address].
Tell me what's wrong and what to fix first.

In about 30 seconds, you’ll have a comprehensive audit of your local presence with specific, prioritized recommendations.

That output demonstrates everything: the AI understanding your request, the skills providing the methodology, the data making it specific to your business. No theory required — run it and see.

Common Questions

Does Claude learn from my data? No. Claude processes your request in the moment. It doesn’t store your business data or learn from it for future users. Each conversation is independent.

Is my data safe? Your business data passes through LocalSEOData’s API, governed by their privacy policy. The skills themselves store nothing. Claude’s conversations are subject to Anthropic’s privacy practices.

How does it stay current? The skill library updates as local SEO best practices evolve. Updates are pushed to GitHub; you can pull the latest version anytime. Major Google changes that affect methodology are reflected in skill updates.

What if I have technical questions? The community Discord has practitioners who can help. The GitHub repository has documentation. But the goal is that you shouldn’t need technical knowledge to use the system effectively.

LocalSEOSkills exists to make local SEO expertise accessible. The three-layer model — AI + Skills + Data — delivers specific, actionable intelligence to anyone who can type a question in natural language. That’s the system. Now run your first audit and see what it finds.