Coverage-guaranteed whitebox security audit of a codebase using XERJ + tree-sitter AST. Use when the user wants to security-review PHP (or other-language) code with a provable "we enumerated every dangerous call" guarantee, or asks to run the WordPress-style sink census / audit. Drives an index-once, query-read-reason…
Reference-coding with XERJ. Clone the libraries that already solved your problem, index them locally, and retrieve the exact implementation before writing code — so the agent reads passages instead of re-deriving algorithms across retry loops. Use when starting a task in an unfamiliar API, porting an algorithm, or…
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
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.…
Expert guidance on AI Visibility and Local SEO from Local Falcon, the pioneer of geo-grid rank tracking. Provides deep knowledge on optimizing for AI search platforms (ChatGPT, Gemini, AI Mode, AI Overviews, Grok), local pack rankings, Google Business Profile optimization, and actionable strategies for agencies…
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions.
Schema.org structured data audit and generation for rich results and entity clarity — detect, validate, and generate JSON-LD markup. Schema is NOT an AI-citation lever (Ahrefs controlled study, May 2026); it earns rich results and keeps entity data unambiguous.
Free AEO / GEO / AI search visibility check. Scores how ChatGPT, Claude, and Perplexity describe your brand vs competitors. Use when an agency, marketer, or business owner asks about brand visibility in AI search, answer engine optimization, generative engine optimization, share of voice in LLMs, ChatGPT brand…
Use this Skill when the user provides an existing article, product page, tutorial, FAQ, or knowledge note and wants to rebuild it into a GEO or AI-search-friendly content asset. Use it for old-content refresh, citation-readiness improvement, answer-first restructuring, GEO upgrades, and Ganhuo AI content workflows. Do…
Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list. Use when the user asks "is there an MCP server for ", wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server, or says they found a new geo MCP server to track.
Audit any web page for Answer Engine Optimization (AEO) readiness - can AI crawlers reach it, and can AI engines extract answers from it. Use when asked "is this page AEO ready", "audit this page for AI search", "why don't AI engines cite my page", or "check AI crawler access". Works standalone; no account needed.
Analyze which domains AI engines cite for your tracked prompts and find citation gaps to close. Use when asked "which domains get cited", "why are competitors cited and not us", "citation gap analysis", or to build an outreach/content target list from AI citation data. Requires the Citlyze MCP server.
Build a window-over-window AI search visibility report from Citlyze data. Use when asked "how visible is my brand in AI search", "what changed this week/month", "build an AI visibility report", or for recurring exec reporting on ChatGPT/Claude/Perplexity/Gemini visibility. Requires the Citlyze MCP server.