Ninar AI
by ninar.ai in AI models & inference
Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.
https://ninar.ai/mcp
Last 30 days
- Uptime
- 100%
- Response time
- 582 ms typical, 582 ms slowest 5%
- Last check
- 3 h ago
- Next check
- in 3 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"ninar-ai": {
"type": "http",
"url": "https://ninar.ai/mcp"
}
}
}5 tools
- 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).
- scan_visibility
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).
- 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.
- generate_content
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.
- audit_brand_visibility
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 decis
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 3 h ago | Passed | 200 | 582 ms |