# CitedOrNot - AI Search Visibility

CitedOrNot lets an AI assistant inspect how search engines mention your brand and which competitors they recommend. Use it to spot visibility gaps and find content ideas.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI
- Author: citedornot
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/citedornot/citedornot-mcp
- Updated: 2026-10-12
- HTML: https://affpapa.org/en/nevibecode/mcp/citedornot-ai-search-visibility

## What it does

CitedOrNot gives an assistant access to brand-check results from AI search engines. It can show how often a brand is mentioned or recommended, the tone of responses, answers by engine or question, and queries where a competitor appeared instead. It also returns suggestions for what to publish.

The server provides tools to inspect account brands, visibility, individual mentions, publishing advice, and agency clients. Every tool is read-only: it does not start a scan or change account settings. The repository contains documentation; the hosted server is at `https://citedornot.com/mcp`.

Access requires a CitedOrNot Pro or Agency account and a personal MCP token created under Settings → MCP. Send the token as `Authorization: Bearer <your-token>`; clients that cannot set that header can use `X-API-Key`. Access ends if the account moves below Pro or the token is deactivated, and anyone holding the token can read brand results.

## Requirements
- Remote server: `https://citedornot.com/mcp`

## Install

### Claude Code (native platform)

**Platform CLI: remote server**
```bash
claude mcp add --transport http citedornot-ai-search-visibility https://citedornot.com/mcp
```

### Codex

**Platform CLI: remote server**
```bash
codex mcp add citedornot-ai-search-visibility --url https://citedornot.com/mcp
```

### Cursor

**Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "citedornot-ai-search-visibility": {
            "url": "https://citedornot.com/mcp"
        }
    }
}
```

### GitHub Copilot

**Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "citedornot-ai-search-visibility": {
            "type": "http",
            "url": "https://citedornot.com/mcp"
        }
    }
}
```

### Gemini CLI

**Platform CLI: remote server**
```bash
gemini mcp add -t http citedornot-ai-search-visibility https://citedornot.com/mcp
```

## When to use it
- check how often AI search engines mention a brand
- find queries where an engine named a competitor instead
- compare response tone across AI engines
- get content suggestions based on visibility results
- review visibility across agency clients

## Example prompts
- Show how often AI search engines recommend each of my brands.
- Find Perplexity questions where a competitor was named instead of us.
- What should I publish to get my brand mentioned more often by AI search engines?

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