Ninar AI
Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"ninar": {
"url": "https://ninar.ai/mcp"
}
}
}リモートエンドポイント
https://ninar.ai/mcpstreamable-httpできること
ツール一覧
ツール（5）
🟢get_latest_score
Get the AI Visibility Index (0-100) for the signed-in user's most recently scanned brand, broken down by engine. Requires a free Ninar account (no credit card).
入力スキーマ
{
"type": "object",
"properties": {}
}🟢scan_visibility(brand_name, category, city, country, use_case, ...)
Run an AI visibility scan for a brand. Pass `city` for a local-business check (ChatGPT + Gemini, city-scoped). Omit `city` for a multi-engine GEO scan across ChatGPT, Gemini, Perplexity, Claude, AI Overviews — engine count scales with the user's Ninar plan (free = 2).
入力スキーマ
{
"type": "object",
"properties": {
"brand_name": {
"description": "Brand to scan, e.g. 'Ninar', 'Joe's Pizza'.",
"type": "string"
},
"category": {
"description": "Category, e.g. 'AI visibility platform', 'pizza restaurant'.",
"type": "string"
},
"city": {
"description": "City for a local-business check. Omit for multi-engine GEO scan.",
"type": "string"
},
"country": {
"description": "Optional ISO country: us, gb, in, eu.",
"type": "string"
},
"use_case": {
"description": "Optional GEO use case, e.g. 'for sales teams'.",
"type": "string"
},
"website": {
"description": "Optional brand URL for GEO citation matching.",
"type": "string"
}
},
"required": [
"brand_name",
"category"
]
}🟢list_content_gaps
List AI-generated content suggestions (FAQs, differentiators, use cases, about copy) the signed-in user can publish to close visibility gaps found in their latest scan.
入力スキーマ
{
"type": "object",
"properties": {}
}🟢generate_content(gap_type)
Generate AI-optimized content (FAQ, about copy, use cases, differentiators) for the gaps in your latest scan. Returns full content text inline — no need to visit the dashboard. Pro plan or higher required. Pass gap_type='all' to get every block in one call.
入力スキーマ
{
"type": "object",
"properties": {
"gap_type": {
"description": "Which content block to generate. Use 'all' for everything in one call.",
"enum": [
"faq",
"about",
"use_cases",
"differentiators",
"all"
],
"type": "string"
}
},
"required": [
"gap_type"
]
}🟢audit_brand_visibility(entity, raw_evidence, taxonomy_id)
Check whether a brand or entity surfaced by an AI engine is a genuine competitor in your category (e.g. is 'Banner Life' actually a mortgage insurance competitor to Enact?). Uses dual-model verification with automatic escalation on disagreement. Returns a confirmed/rejected decision, confidence score, reasoning, and audit trail. Pro plan or higher required.
入力スキーマ
{
"type": "object",
"properties": {
"entity": {
"description": "Entity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'.",
"type": "string"
},
"raw_evidence": {
"description": "Source text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'.",
"properties": {
"entity_sentence": {
"type": "string"
},
"raw_answer_excerpt": {
"type": "string"
},
"source_probe_id": {
"type": "string"
}
},
"required": [
"raw_answer_excerpt"
],
"type": "object"
},
"taxonomy_id": {
"description": "Taxonomy registry to validate against. Default: pmi.v1",
"type": "string"
}
},
"required": [
"entity",
"raw_evidence"
]
}推奨プロンプト
get_latest_scoreget_latest_scorelist_content_gapslist_content_gapslist_content_gapsget_latest_scoreコミュニティ
エビデンス