ai.useimagine/benchmark

up checked 2026-11-11T02:37:27.547Z

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Publisher-provided title

Imagine AI Benchmark

Publisher-provided description

LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.

Summary by lookupd

Queries a LinkedIn B2B content benchmark to compare company and team post engagement, categories, and industry landscapes.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http benchmark https://benchmark.useimagine.ai/api/mcp

Codex, remote (streamable-http)

codex mcp add benchmark --url https://benchmark.useimagine.ai/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "benchmark": {
      "url": "https://benchmark.useimagine.ai/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

list_companies List companies in the benchmark catalog (customers, competitors, industry peers). Filter by name substring, industry, or tracking. Returns ids you pass to every
company_fit_summary A company's page fit plus the distribution of its people's geometric means (median, baseline band), top people and who is under the 18-post floor. Company typic
industry_landscape Every account in an industry (or a custom company set): per-company rollup (page fit + people median over the 5 most active fitted people (peopleCounted), preli
methodology Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.
category_breakdown Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.

Shows this live status and links here; updates hourly.

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