# LLM Brand Monitor

> Use this tool when you need to monitor and analyze how your brand is mentioned across multiple AI models, to track reputation, identify trends, and inform marketing strategies. It takes in brand names and project parameters as inputs and outputs detailed reports and analysis of AI model mentions. Ideal for brand managers and marketers seeking to understand their brand's presence in the AI landscape.

Canonical page: https://skillsregistry.net/skills/io-github-serpstatglobal-llm-brand-monitor  
JSON: https://api.skillsregistry.net/v1/skills/io-github-serpstatglobal-llm-brand-monitor

## Description

Track how 350+ AI models mention your brand — manage projects, run scans, analyze results

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.SerpstatGlobal%2Fllm-brand-monitor)
- **Repository:** <https://github.com/SerpstatGlobal/llm-brand-monitor-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-serpstatglobal-llm-brand-monitor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-serpstatglobal-llm-brand-monitor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-serpstatglobal-llm-brand-monitor/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt