Install
$ agentstack add mcp-local-falcon-local-visibility-skill ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Local Falcon AI Visibility & Local SEO Skill
Expert AI Visibility and Local SEO guidance for AI agents and developers
What This Skill Does
This skill equips AI agents (Claude, ChatGPT, Cursor, and others) with expert-level knowledge about:
- AI Visibility Optimization - How to get mentioned by ChatGPT, Google AI Mode, Gemini, AI Overviews, and Grok
- Local SEO Best Practices - Google Business Profile optimization, map pack rankings, review strategy
- Local Falcon Platform Expertise - Interpreting geo-grid scans, understanding SoLV/SAIV metrics, campaign management
- MCP Integration - Connecting to Local Falcon's data for live analysis
For AI Agents
This skill provides structured knowledge that enables agents to give expert-level local SEO and AI visibility advice, rather than generic recommendations.
For Developers
Pair this skill with the @local-falcon/mcp server to build applications that analyze real Local Falcon data with expert interpretation.
Quick Start
For Claude Code / Cursor / VS Code
# Install the skill
npm install @local-falcon/local-visibility-skill
# Copy to your skills directory
cp -r node_modules/@local-falcon/local-visibility-skill ~/.config/claude/skills/local-falcon
Or manually copy the SKILL.md file to your Claude Code skills directory.
For Other AI Agents
Reference the SKILL.md file directly or include its contents in your agent's system prompt.
Key Concepts
SoLV vs SAIV (Critical Distinction)
| Metric | Full Name | What It Measures | Platforms | |--------|-----------|------------------|-----------| | SoLV | Share of Local Voice | % of map grid points ranking #1-3 | Google Maps, Apple Maps | | SAIV | Share of AI Visibility | % of AI responses mentioning business | ChatGPT, Gemini, Grok, AI Mode, AI Overviews |
These are completely different metrics measuring completely different things.
AI Platform Data Sources
| Platform | Primary Data Sources | |----------|---------------------| | Google AI Overviews | GBP, reviews, Reddit, Yelp, Quora, business websites | | Google AI Mode | Same as above, but REPLACES traditional results entirely | | Google Gemini | Training data + live web browsing, may redirect to Search/Maps | | ChatGPT | Bing search, Wikipedia, Yelp, BBB, Foursquare, editorial lists | | Grok | X/Twitter posts (exclusive), web search |
Pairing with Local Falcon MCP
For live data analysis, install the MCP server:
npm install @local-falcon/mcp
The skill automatically detects MCP availability:
- With MCP: Pulls real data, runs scans, provides specific analysis
- Without MCP: Provides educational content and best practices
File Structure
local-falcon-skill/
├── SKILL.md # Main skill file (load this)
├── package.json # npm package metadata
├── marketplace.json # Skill directory metadata
├── LICENSE # MIT license
├── local-falcon-ai-logo.svg # Logo asset
└── references/
├── metrics-glossary.md # Complete metrics definitions
├── ai-platforms.md # AI platform deep dives
├── mcp-workflows.md # MCP integration patterns
└── prompt-templates.md # User prompt templates
Example Use Cases
"Why am I invisible on ChatGPT?"
The skill knows ChatGPT doesn't access Google at all - it uses Bing search, Wikipedia, and various directories. It will guide you to optimize those platforms specifically.
"My SoLV dropped but SAIV stayed the same"
The skill understands these are separate systems. A SoLV drop (maps) has different causes than a SAIV drop (AI platforms) and will diagnose accordingly.
"Help me interpret this scan report"
With metrics like ATRP, ARP, SoLV, and Found In, the skill applies Local Falcon's analytical framework to provide actionable insights, not just data recitation.
Who This Is For
| Audience | Use Case | |----------|----------| | Agency Professionals | Multi-client workflows, competitive analysis, reporting | | Enterprise Marketers | Multi-location management, brand consistency, trend monitoring | | SMB Owners | Actionable optimization guidance, understanding what matters | | Developers | Building local SEO tools with expert knowledge built-in | | AI Agents | Providing expert-level local SEO and AI visibility guidance to users |
Related Resources
- Local Falcon Platform: localfalcon.com
- MCP Server: @local-falcon/mcp
- Documentation: docs.localfalcon.com
- Falcon Agent: AI assistant available to Local Falcon subscribers
Contributing
Issues and pull requests welcome at github.com/local-falcon/local-visibility-skill.
License
MIT License - see [LICENSE](LICENSE) file.
Built by Local Falcon - Pioneers of geo-grid rank tracking
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: local-falcon
- Source: local-falcon/local-visibility-skill
- License: MIT
- Homepage: https://www.localfalcon.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.