Connect-MCP

AI Visibility Index

io.github.pulse-digital-dev/mcp-ai-visibility-index · v1.0.0

AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity.

MCPremoteno credentialsMessaging

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 3 tools, protocol 2025-03-26 · checked 2026-10-17

Test & rating

A 100/100

What it does: 3 tools · 3 read, 0 write · Messaging

Test call list_ai_visibility_industries: worked (1,190 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://ai-visibility-index.dev/mcp

Tools

3 tools listed at last check
  • check_ai_visibility 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
  • 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。
  • 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）。

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