BenchRank
#11 in AI Search & ResearchUpdated 2026-08

Corpus

by Corpus · Document analysis as a grid of documents and questions

15 — BenchRank score out of 100

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Overview

Corpus builds matrices in which documents are rows and questions are columns, with AI-generated answers and citations in each cell. An agentic QA mode searches and reasons across document sections iteratively, showing its steps. Workflows draw on the matrix to produce reports, summaries or slide decks, and teams share a common workspace.

Best for
Teams asking the same questions across many documents — legal, compliance, research, due diligence
Pricing
The captured page shows no prices or plans of any kind.

Strengths and trade-offs

Strengths

  • Every matrix cell answer comes with citations
  • Agentic QA exposes each step of its reasoning
  • Workflows turn matrix answers into reports or slide decks
  • Shared workspaces keep team documents and matrices together

Trade-offs

  • No pricing shown anywhere on the captured page
  • Sign-in is offered only through Google
  • No stated detail on file formats, limits or data handling

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
0 out of 100
API quality
0 out of 100
Documentation
0 out of 100
Agent friendliness
29 out of 100
Changelog
40 out of 100
Marketing site structure
50 out of 100
Operational trust
25 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness
40 out of 100
Maintenance
85 out of 100

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