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Google Maps Local Seo

Community
cablate
google-maps-local-seo

Analyze Google Business Profile visibility, geographic grid rankings, local search keywords, and nearby competitors through the standalone Google Maps CLI. Use for local SEO or location-strategy decisions, not ordinary place recommendations.

Overview

Publishercablate
Repositorymcp-google-map
Skill namegoogle-maps-local-seo
Stars
479
Forks
93
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Google Maps 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/cablate/mcp-google-map/tree/main/skills/google-maps-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/cablate/mcp-google-map.git /tmp/mcp-google-map
mkdir -p .claude/skills
cp -r /tmp/mcp-google-map/skills/google-maps-local-seo .claude/skills/google-maps-local-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Maps 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 Google Maps 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 Google Maps 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.

Google Maps Local SEO

Produce a reproducible local-search visibility analysis grounded in Google Maps results. Use the standalone CLI; no MCP connection is required.

Before calling the CLI

  • On the first call in a session, or after an execution failure, read ../_shared/setup-and-diagnostics.md and run the non-billable local preflight.
  • The user must supply GOOGLE_MAPS_API_KEY. Never expose its value.
  • Read ../_shared/content-attribution.md before presenting reviews, photos, or Google-generated summaries.

Workflow

  1. Confirm the target business or place_id, service area, relevant keywords, grid size, and decision the user needs to make.
  2. Read references/local-seo.md before running an audit.
  3. Resolve the target with maps_search_places and maps_place_details; do not assume businesses with similar names are identical.
  4. Use maps_local_rank_tracker for geographic rankings. Keep the keyword, center, spacing, and grid size with every reported result.
  5. Use place search, comparison, and area exploration to identify competitors and evidence for gaps.
  6. Separate observed API results from recommendations. Explain ARP, ATRP, SoLV, unfound grid points, and sample limitations.
  7. Present prioritized actions tied to the observed evidence; do not promise ranking improvements.

CLI

bash
npx -y @cablate/mcp-google-map exec <tool> '<json_params>'

For exact parameters, read the relevant sections of ../google-maps/references/tools-api.md.

Boundaries

  • Ordinary nearby-place discovery and place comparison belong to google-maps.
  • Consumer travel itineraries belong to google-maps-travel-planning.
  • Grid results are a sampled snapshot, not an exhaustive or stable representation of Google ranking.
  • Do not recommend deceptive reviews, keyword stuffing, impersonation, or other policy-violating tactics.

References

  • references/local-seo.md: required audit method, competitor analysis, metrics, and reporting structure.
  • ../google-maps/references/tools-api.md: selected tool parameters and response shapes.
  • ../_shared/setup-and-diagnostics.md: first-run and failure recovery.
  • ../_shared/content-attribution.md: Places presentation requirements.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Google Maps Local Seo AI skill do?

Analyze Google Business Profile visibility, geographic grid rankings, local search keywords, and nearby competitors through the standalone Google Maps CLI. Use for local SEO or location-strategy decisions, not ordinary place recommendations.

Why use Google Maps Local Seo on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cablate/mcp-google-map/tree/main/skills/google-maps-local-seo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Google Maps 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 Google Maps Local Seo?

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

Is the Google Maps Local Seo AI skill free?

Yes. It is published on GitHub by cablate 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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