Expert guide for using the Local Falcon MCP — an AI-powered local search intelligence platform — to monitor AI visibility (ChatGPT, Gemini, Grok, Google AI Overviews, AI Mode), analyze geo-grid map rankings, evaluate AI sentiment analysis, assess competitor landscapes, and manage Google Business Profile performance. Use this skill whenever the user works with Local Falcon data including: AI search monitoring, scan reports, trend analysis, campaign management, Falcon Guard monitoring, reviews analysis, competitor research, or keyword tracking. Covers metric interpretation (SoLV, SAIV, ARP, ATRP, RVS, RQS), multi-platform analysis across 8 platforms, workflow patterns, credit-conscious scanning strategies, and actionable local SEO and AI search optimization recommendations. Also use when the user asks about AI-powered search presence, local search visibility, map pack rankings, or GBP optimization for any business.
How to install local-falcon-mcp?
local-falcon/mcp/local-falcon-mcp
$npx -y skills add local-falcon/mcp --skill local-falcon-mcpInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/local-falcon/mcp" --skill "local-falcon/mcp/local-falcon-mcp"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/local-falcon/mcp" that are relevant to the current task. Run `npx skills add "https://github.com/local-falcon/mcp"` and select the relevant skills, then follow their instructions.
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