app.llmaudit/llmaudit · v1.1.0 · ai-and-media
LLM Audit is healthy: it completed an MCP handshake in 3854 ms and exposes 2 tools.
Measure whether AI assistants actually recommend a brand, from measured answers.
Endpoint: https://mcp.llmaudit.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 2 |
| Latency | 3854 ms |
| Last checked (UTC) | 2026-10-15T17:20:10.238Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T17:20:10.238Z | Healthy | 3854 | |
| 2026-10-14T16:40:36.574Z | Healthy | 3708 |
get_visibility_check | Collect the result of a measurement started with start_visibility_check. Returns status running while the providers are still answering, so poll every 20 to 30 seconds. When ready it reports a verdict, how many of the buyer questions the brand won, which competitors were named instead, and which pro |
start_visibility_check | Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_v |