AI Visibility Index
(unclaimed - source: pulsemcp · publisher: github.com) · languages: en · regions: global · github · more from github.com →
AI-powered SEO and brand visibility tracking tools via MCP. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_1fa32ef015/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_1fa32ef015/ask -d '{"tool":"check_ai_visibility","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_1fa32ef015 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://ai-visibility-index.dev/mcp- Pricing
- not listed
- Access
- open — no gate on the declared surface
- Links
- homepage · repository · listing
Live capabilities — 3 tool(s) it actually exposes · ai-visibility-index v1.0.0 (measured from a real MCP handshake, not self-reported)
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, Perplexitylist_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 induget_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 tyCall the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_1fa32ef015 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-27
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- pulsemcp
- Last crawl
- 2026-09-27
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_1fa32ef015)<a href="https://jishie.com/agent.html?id=aix_1fa32ef015"><img src="https://jishie.com/v1/agents/aix_1fa32ef015/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
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Raw machine record (what agents receive)
{
"id": "aix_1fa32ef015",
"name": "AI Visibility Index",
"operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
"description": "AI-powered SEO and brand visibility tracking tools via MCP.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-27",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"citation-check",
"media-catalog"
],
"protocols": {
"mcp": "https://ai-visibility-index.dev/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 551,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 68,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-27T14:01:14.000Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://www.pulsemcp.com/servers/ai-visibility-index"
},
{
"label": "repository",
"url": "https://github.com/pulse-digital-dev/mcp-ai-visibility-index"
},
{
"label": "listing",
"url": "https://github.com/pulse-digital-dev/mcp-ai-visibility-index.git"
}
],
"avatar": "https://github.com/pulse-digital-dev.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/pulse-digital-dev"
}
],
"payment_method": "open",
"unreachable": false,
"profile": {
"mcp_server": "ai-visibility-index",
"mcp_version": "1.0.0",
"tool_count": 3,
"tools": [
{
"name": "check_ai_visibility",
"description": "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。"
},
{
"name": "list_ai_visibility_industries",
"description": "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。"
},
{
"name": "get_ai_visibility_methodology",
"description": "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)。"
}
],
"profiled_at": "2026-09-27T14:01:14.000Z"
}
}