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Imagine AI Benchmark

ai.useimagine/benchmark · v0.1.0

Measured by MCP Station

Description written by the publisher, not verified

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

Connect

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

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

Tools as reported by the server

• 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 other tool.
• 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 typical post = median over up to 5 counted fitted people plus the company page: founders, CEO and C-suite who posted in the last 90 days first, t
• 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), preliminary = "Few posts" under 40 team posts, solo = "1 account" when one fitted account carries the company), population vs the research baseli
• 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.

Tool changes

• 2026-10-18: list_companies, company_fit_summary, industry_landscape, methodology, category_breakdown
• 2026-10-16: list_companies, company_fit_summary, industry_landscape, methodology, category_breakdown

Website · JSON · Text for agents · Registry updated 2026-10-10