ai.ninar/ninar

Official5 tools

Ninar AI

Audit your brand's visibility across ChatGPT, Gemini, Claude, Perplexity + 6 more engines.

Tracks and audits brand visibility across major AI chatbot and search platforms.

Captured live from the server via tools/list.

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).

No parameters.

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).

Parameters (6)

brand_namestringrequired
Brand to scan, e.g. 'Ninar', 'Joe's Pizza'.
categorystringrequired
Category, e.g. 'AI visibility platform', 'pizza restaurant'.
citystring
City for a local-business check. Omit for multi-engine GEO scan.
countrystring
Optional ISO country: us, gb, in, eu.
use_casestring
Optional GEO use case, e.g. 'for sales teams'.
websitestring
Optional brand URL for GEO citation matching.

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.

No parameters.

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.

Parameters (1)

gap_typestringrequired
Which content block to generate. Use 'all' for everything in one call.

audit_brand_visibility

Run a System of Record adjudication on an entity surfaced by an AI engine (e.g. is 'Banner Life' a valid PMI competitor to Enact?). Uses dual-model consensus (Haiku 4.5 + Gemini Flash, escalating to Sonnet 4.6 + Gemini Pro on disagreement) against a versioned taxonomy. Returns the Why Drawer headline, audit trail, and per-model judgments. Pro plan or higher required.

Parameters (3)

entitystringrequired
Entity name to adjudicate, e.g. 'Banner Life', 'Enact Solar'.
raw_evidenceobjectrequired
Source text the entity appeared in. Should contain 'raw_answer_excerpt' and optionally 'entity_sentence' and 'source_probe_id'.
taxonomy_idstring
Taxonomy registry to validate against. Default: pmi.v1

Install

claude_desktop_config.json

{
  "mcpServers": {
    "ninar": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://ninar.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.