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Local Seo Audit

Community
indranilbanerjee
local-seo-audit

Audit local SEO health by script: profile, NAP, citations, reviews, scored 0-100. "audit our local SEO"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namelocal-seo-audit
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Local Seo Audit 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/indranilbanerjee/digital-marketing-pro/tree/main/skills/local-seo-audit
  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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/local-seo-audit .claude/skills/local-seo-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Local Seo Audit 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 Seo Audit 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 Seo Audit 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.

/digital-marketing-pro:local-seo-audit

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/. Run them with Python 3.10 or newer: python, or python3 where python is not found (macOS, many Linux systems).

Purpose

Run a comprehensive local SEO audit that evaluates all factors affecting local search visibility: Google Business Profile completeness, NAP consistency, citation presence, local content, reviews, and local schema. Produces a prioritized action plan to improve local pack rankings and drive foot traffic or service inquiries.

Input Required

The user must provide (or will be prompted for):

  • Business name and address (required): Full NAP (Name, Address, Phone)
  • Google Business Profile URL (helpful): Direct link to GBP listing
  • Number of locations (required): Single location, or count of locations
  • Service area (helpful): Geographic area served
  • Industry (helpful): For industry-specific citation sources and benchmarks
  • Current review count and rating (optional): Baseline metrics
  • Competitors (optional): Local competitors to benchmark against
  • Website URL (required): For location page and schema audit

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Load reference files: Read skills/local-seo/gbp-optimization.md, skills/local-seo/citation-management.md, skills/local-seo/local-content.md, and skills/local-seo/multi-location.md for local SEO frameworks
  3. Run local-seo-checker script (if Python available): python "${CLAUDE_PLUGIN_ROOT}/scripts/local-seo-checker.py" --nap '{"name":"...","address":"...","phone":"..."}' --industry {industry} for NAP consistency and GBP completeness scoring
  4. GBP profile audit: Evaluate completeness, category selection, attributes, photos, posts, Q&A, services/products, business description, hours accuracy
  5. NAP consistency check: Assess name, address, and phone consistency across known citation sources for the industry
  6. Citation audit: Evaluate citation presence on top general and industry-specific directories. Identify missing, inconsistent, or duplicate listings
  7. Local keyword analysis: Identify geo-modified keyword opportunities, "near me" optimization potential, service+location terms
  8. Location page review: Assess on-site location pages for unique content, schema markup, internal linking, and conversion elements
  9. Review profile analysis: Review volume, average rating, response rate, response quality, sentiment trends, competitor comparison
  10. Local schema audit: Check LocalBusiness schema, GeoCoordinates, OpeningHours, AggregateRating, Review schema implementation
  11. Local link profile: Evaluate local link opportunities (chambers, sponsorships, community orgs, local media)
  12. Competitor local benchmarking: Compare GBP completeness, review volume, citation count, and local content against 2-3 local competitors
  13. Compile prioritized report: Group by impact, include specific actions, benchmarks, and expected local ranking improvement

Output

A structured local SEO audit report containing:

  • Audit header: Brand name, location(s), date, overall local visibility score (0-100)
  • GBP scorecard: Completeness score with specific optimization actions per section
  • NAP consistency report: Status across top citation sources, inconsistencies flagged
  • Citation report: Present, missing, incorrect, duplicate citations with action items
  • Review analysis: Volume, rating, response rate, sentiment, with targets
  • Location page assessment: Content quality, schema, optimization recommendations
  • Local keyword opportunities: Geo-modified terms with estimated volume and competition
  • Competitor benchmarks: Side-by-side comparison on key local signals
  • Quick wins: Top 5 highest-impact, fastest actions
  • 90-day local SEO action plan: Week-by-week implementation roadmap

Agents Used

  • seo-specialist — Runs the local SEO audit, evaluates GBP optimization opportunities, reviews local schema, benchmarks against competitors, generates prioritized action plan

Frequently asked questions

What does the Local Seo Audit AI skill do?

Audit local SEO health by script: profile, NAP, citations, reviews, scored 0-100. "audit our local SEO"

Why use Local Seo Audit on TypingMind?

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

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

Which AI models can use Local Seo Audit?

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 Seo Audit?

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

Is the Local Seo Audit AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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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