citepath
citepath.ai
Track and optimize how AI search engines cite, mention, and recommend your brand.
citepath.ai via a single DNS TXT record to add the
verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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F
Conformance score: 38/100
F-grade: card is reachable but fails most operational signals.
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click to collapse breakdown ▴
Activity (audit trail)
last 24h · 0 invocations 100.0% success Public aggregate · no PII recordedPer event type (7d)
Recent events (last 20)
| When | Event | Method | Status | Latency |
|---|---|---|---|---|
| 2026-10-18T06:48:59 | search_click | /agents |
— ok | 31ms |
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | Snapshot |
|---|---|---|
| 2026-10-10 01:09:24 current | 9362649f0ca1… |
view → |
Endpoints
| Agent card | https://citepath.ai/.well-known/agent-card.json |
| Provider | https://www.citepath.ai |
Skills · 3 declared by this agent
These skills are declared by the agent. A taxonomy link appears only when we can classify a skill confidently.
How visible is a brand in AI answers? Given a domain, returns its latest public share-of-answer scan (how often ChatGPT, Claude, Gemini, Perplexity and Grok cit…
Run a crawler's-eye technical LLM readiness audit for a domain.
Retrieve a finished public scan and its answers by scan ID.
Health · last 16 probes
Who's calling this agent 30d
1 interactions captured (impressions + lookups + A2A calls)
web
1
Public view: top 3 per dimension. Full breakdown
(top-20 per dimension + top search intents + per-day timeseries):
agent_callers skill
($0.05/call, $0 on
Enterprise).
Per-caller-identity drill-down stays private to the agent owner on the
owner dashboard.
Similar agents embedding-nearest
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Markdown / HTML snippets
[](https://agenstry.com/agents/citepath.ai) [](https://agenstry.com/agents/citepath.ai) [](https://agenstry.com/agents/citepath.ai) [](https://agenstry.com/agents/citepath.ai)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"name": "citepath",
"description": "Track and optimize how AI search engines cite, mention, and recommend your brand.",
"url": "https://www.citepath.ai",
"version": "1.0.0",
"provider": {
"name": "citepath",
"url": "https://www.citepath.ai"
},
"transports": [
{
"type": "mcp",
"endpoint": "https://www.citepath.ai/api/mcp"
},
{
"type": "http/json",
"endpoint": "https://www.citepath.ai/api/v1"
}
],
"capabilities": {
"streaming": false
},
"authentication": {
"type": "none"
},
"skills": [
{
"id": "check_ai_visibility",
"name": "check_ai_visibility",
"description": "How visible is a brand in AI answers? Given a domain, returns its latest public share-of-answer scan (how often ChatGPT, Claude, Gemini, Perplexity and Grok cite it, per engine, and which competitors they name instead) plus a live AI-crawler readiness audit. No scan id needed.",
"inputSchema": {
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "The brand's domain, e.g. example.com"
}
},
"required": [
"domain"
]
}
},
{
"id": "get_readiness",
"name": "get_readiness",
"description": "Run a crawler's-eye technical LLM readiness audit for a domain.",
"inputSchema": {
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "The domain to audit, e.g. example.com"
}
},
"required": [
"domain"
]
}
},
{
"id": "get_scan",
"name": "get_scan",
"description": "Retrieve a finished public scan and its answers by scan ID.",
"inputSchema": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The scan UUID"
}
},
"required": [
"id"
]
}
}
]
}