AiVIS Cite Ledger
aivis.biz
· AiVIS Cite Ledger
Evidence-backed AI visibility agent. Audits how AI answer engines (ChatGPT, Perplexity, Claude, Google AI) read, trust, and cite websites, then returns deterministic, evidence-linked findings and prioritized fixes.
aivis.biz via a single DNS TXT record to add the
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D
Conformance score: 51/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-07-16 08:00:35 current | 8ffdc6e6c5d0… |
view → |
Endpoints
| Agent card | https://aivis.biz/.well-known/agent-card.json |
| Provider | https://aivis.biz |
| Docs | https://aivis.biz/api-docs |
Health · last 1 probes
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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
{
"protocolVersion": "0.3.0",
"name": "AiVIS Cite Ledger",
"version": "1.0.0",
"description": "Evidence-backed AI visibility agent. Audits how AI answer engines (ChatGPT, Perplexity, Claude, Google AI) read, trust, and cite websites, then returns deterministic, evidence-linked findings and prioritized fixes.",
"url": "https://api.aivis.biz/api/mcp",
"preferredTransport": "JSONRPC",
"supportedInterfaces": [
{
"url": "https://api.aivis.biz/api/mcp",
"transport": "JSONRPC"
}
],
"additionalInterfaces": [
{
"url": "https://api.aivis.biz/api/mcp",
"transport": "JSONRPC"
}
],
"provider": {
"organization": "AiVIS Cite Ledger",
"url": "https://aivis.biz"
},
"iconUrl": "https://aivis.biz/aivis-logo.png",
"documentationUrl": "https://aivis.biz/api-docs",
"capabilities": {
"streaming": false,
"pushNotifications": false,
"stateTransitionHistory": false
},
"defaultInputModes": [
"text/plain",
"application/json"
],
"defaultOutputModes": [
"application/json",
"text/markdown"
],
"securitySchemes": {
"apiKey": {
"type": "http",
"scheme": "bearer",
"description": "AiVIS API key (avis_*) from Settings -> API Keys, sent as Authorization: Bearer <key>."
}
},
"security": [
{
"apiKey": []
}
],
"skills": [
{
"id": "visibility-audit",
"name": "AI Visibility Audit",
"description": "Audit a URL for AI citation readiness across ten weighted scoring families (avs-v3): Schema & Structured Data (18%), Entity & Heading Signals (14%), Authority & E-E-A-T (12%), Meta Tags & Open Graph (10%), Content Depth (10%), Crawlability (8%), Renderability (8%), Citation Signal Quality (8%), Indexability (6%), Security & Trust (6%). Returns 0\u2013100 CITE LEDGER score with BRAG evidence-linked findings and prioritized fixes.",
"tags": [
"ai-visibility",
"audit",
"citation-readiness",
"schema"
],
"examples": [
"Audit https://example.com for AI citation readiness"
]
},
{
"id": "citation-test",
"name": "Citation Testing",
"description": "Test whether AI answer engines actually cite or mention an entity for given queries, using search-grounded model retrieval.",
"tags": [
"citation",
"answer-presence",
"perplexity"
],
"examples": [
"Does ChatGPT cite example.com for 'best ai visibility tool'?"
]
},
{
"id": "competitor-comparison",
"name": "Competitor Comparison",
"description": "Compare your site against competitor URLs across visibility, entity clarity, structured data, and AI-policy files, with a winner per dimension.",
"tags": [
"competitors",
"benchmark"
],
"examples": [
"Compare example.com against competitor1.com and competitor2.com"
]
},
{
"id": "domain-audit",
"name": "Full Domain Audit",
"description": "Crawl and audit a whole site, returning a weighted site score, entity-resolution score, citation-readiness heatmap, and site-level remediation with copy-paste fixes.",
"tags": [
"domain",
"site-audit",
"heatmap"
],
"examples": [
"Run a full domain audit on example.com"
]
},
{
"id": "remediation",
"name": "Remediation Planning",
"description": "Generate prioritized, evidence-linked fixes (schema/JSON-LD, meta tags, llms.txt, robots.txt) with ready-to-paste code for the gaps found in an audit.",
"tags": [
"remediation",
"fixes",
"schema",
"json-ld"
],
"examples": [
"Give me the schema fix for example.com's missing Organization markup"
]
}
]
}