LabscoMCP early access ↗
SerpstatGlobalMCP SERVER · OFFICIAL PROJECT

LLM Brand Monitor MCP Server

Track how AI models talk about your brand — run scans across 350+ LLMs and read what came back.

by SerpstatGlobal ↗SEO, Web & Product Analytics✓ Official

LABSCO SUMMARY

What models say about you, treated as something measurable.

The whole loop is here — write the prompts, run them across models, read the transcripts, see which competitors and which sources came up — so a claim about brand visibility can be checked instead of argued about. The history call is what turns a snapshot into a trend.

What it is

A management and reporting surface for LLM Brand Monitor: brand monitoring projects and the prompts inside them, scans run across models, and the results, transcripts, competitors and citations those scans produce.

What you get

  • Projects listed, read with their prompts and models, created, updated and archived
  • Prompts added to a project or removed from it
  • Scans started across models, with scan status readable while one is in flight
  • Results listed per scan, and the raw transcript of a model's answer
  • Competitors named in the answers, and the links the models cited
  • History over time, so a change in how you are mentioned can be seen rather than inferred
  • The available model list — 350+ of them — and your own usage against quota

Requirements

An LLM Brand Monitor account and an API key from your profile page, beginning lbm_ and passed as LBM_API_KEY. Run it with npx @serpstat/llm-brand-monitor-mcp; no local build needed.

Setup effort

One command plus a key — npx -y @serpstat/llm-brand-monitor-mcp, then supply credentials

See installation options