LLM Brand Monitor vs AI Visibility

In-depth architectural comparison of the LLM Brand Monitor and AI Visibility MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose LLM Brand Monitor when:

• You need dedicated capabilities in the Marketing domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: lbm_list_projects, lbm_get_project, lbm_create_project.

Explore LLM Brand Monitor Details

Choose AI Visibility when:

• You need dedicated capabilities in the Marketing domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: check_brand_visibility, check_single_query, get_visibility_score.

Explore AI Visibility Details

Feature & Specification Comparison

Specification	LLM Brand Monitor Marketing	AI Visibility sharozdawa Marketing
Summary	Track how 350+ AI models mention your brand — manage projects, run scans, analyze results	Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini. Visibility scores, sentiment analysis, competitor detection, and trend charts.
Category & Scope	Marketing

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "llm-brand-monitor": {
      "command": "npx",
      "args": [
        "-y",
        "@serpstat/llm-brand-monitor-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "sharozdawa-ai-visibility": {
      "command": "npx",
      "args": [
        "-y",
        "ai-visibility-mcp"
      ]
    }
  }
}

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