About Hive Rank

Hive Rank helps brands understand and improve how AI search engines discover, describe, cite, and recommend them.

Discovery no longer happens on one results page. Buyers ask ChatGPT, Google AI, Perplexity, Gemini, Claude, and other answer engines which brands to trust. Those systems assemble answers from different providers and sources.

A position alone cannot explain that process. Teams need the complete answer, the citations it trusted, the competitors it chose, and the evidence behind every conclusion.

Hive Rank keeps that chain intact. People can review it in the dashboard. Authenticated agents can operate the same projects through REST or MCP.

How it works

Define. Create a brand project and save the prompts that shape discovery, comparison, and adoption.

Collect. Run those prompts across configured answer engines and retrieval methods.

Explain. Inspect complete answers, citations, competitors, collection method, provider cost, and confidence.

Act. Turn evidence gaps into approved content, outreach, and measurement work.

Data boundaries

WorkspaceProjects, prompts, answers, and actions stay private within each workspace.
CollectionEvery answer keeps its provider, method, citations, cost, timing, and confidence.
AgentsREST and MCP enforce the same project boundary and permissions as the dashboard.
Local clientThe installer configures access; it does not capture unrelated agent or browser activity.

Build your AI search baseline.

Create a workspace, add the prompts that shape your category, and benchmark your brand against the competition.

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