AI Visibility Index
AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"mcp-ai-visibility-index": {
"url": "https://ai-visibility-index.dev/mcp"
}
}
}遠端端點
https://ai-visibility-index.dev/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢check_ai_visibility(domain)
Check the AI visibility (LLMO/GEO) score for a specific domain. Returns the overall score (0-100), scores from 4 AI engines (ChatGPT, Claude, Gemini, Perplexity), citation rate, and industry ranking. Data is based on the AI Visibility Index monthly scan of 104 Japanese EC companies. Useful for LLMO (Large Language Model Optimization) and GEO (Generative Engine Optimization) analysis. | 日本EC企業104社のAI検索可視性スコアをドメイン指定で照会。
輸入結構描述
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "Domain to check, e.g. \"amazon.co.jp\", \"zozo.jp\", \"uniqlo.com/jp\". Partial matches are supported."
}
},
"required": [
"domain"
]
}🟢list_ai_visibility_industries
List all industries covered by the AI Visibility Index with their average LLMO/GEO scores, company counts, and score ranges. Currently covers 9 Japanese EC industries with 104 companies total. | 9業界のAI可視性スコア平均・企業数・スコア範囲を一覧表示。
輸入結構描述
{
"type": "object",
"properties": {}
}🟢get_ai_visibility_methodology
Get the AI Visibility Index scoring methodology: how LLMO/GEO scores are calculated, which AI engines are tested (ChatGPT, Claude, Gemini, Perplexity), query types, scoring formula, and data freshness. | スコアリング方法論（計算式・対象エンジン・クエリ種別・データ更新頻度）。
輸入結構描述
{
"type": "object",
"properties": {}
}社群
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