# Diligent Entities vs Commenda: which do AI models recommend for entity management, October 2026

Finance AI Recommendation Index, October 2026 Edition, Entity management. Three of fourteen models named Diligent Entities first on the direct prompt; two named Commenda. Page: https://finance-ai-index.com/corporate/entity-management/diligent-entities-vs-commenda/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Diligent Entities | 8% | #3 of 11 | 46% | 56 | 14 of 14 |
| Commenda | 4% | #6 of 11 | 5% | 19 | 11 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: diligent entities first (first choices: Diligent Entities) (alternatives: Athennian, CSC Entity Management)
- Perplexity Sonar: diligent entities first (first choices: Diligent Entities) (alternatives: Commenda, GateWay Entities)
- MiniMax M2.5: diligent entities first (first choices: Athennian, Diligent Entities) (alternatives: Eqvista, Harbor Compliance)
- Claude Haiku 4.5: commenda first (first choices: Athennian, Commenda) (alternatives: Klea)
- Llama 4 Maverick: commenda first (first choices: Commenda, ContractZen) (alternatives: NEWTON)
- Grok 4.1 Fast: neither first, one named (first choices: Athennian) (alternatives: Commenda, EntityKeeper, Filejet)
- Mistral Small: neither first, one named (first choices: Athennian, Filejet) (alternatives: Commenda, Diligent Entities, Discern)
- DeepSeek V4 Flash: neither first, one named (first choices: Athennian) (alternatives: Commenda, EntityKeeper, Filejet)
- GLM 4.7 FlashX: neither first, one named (first choices: Athennian) (alternatives: Diligent Entities, EntityKeeper, Filejet)
- Muse Glimmer 30B: neither first, one named (first choices: Athennian) (alternatives: CSC Entity Management, CT Corporation Entity Management, Commenda, Discern)
- Gemini 3.5 Flash: neither named (first choices: Athennian) (alternatives: ContractZen, Diliforce, EntityKeeper, MinuteBox)
- Qwen 3.7 Flash: neither named (first choices: Legally) (alternatives: Diligent Boards, Docuum, Onspring)
- Kimi K2: neither named (first choices: Athennian) (alternatives: Filejet, NEWTON)
- GPT-6 Luna: neither named (first choices: Athennian) (alternatives: CSC Entity Management, EntityKeeper)

## What the models said about Diligent Entities

- "What to Avoid: Diligent Entities — While powerful, it's typically over-engineered and overpriced for mid-market" (Kimi K2, paraphrase prompt, hard negative)
- ""What to Avoid: Diligent Entities and similar enterprise solutions - typically start at $15,000-$50,000/year"" (Muse Glimmer 30B, negative prompt, hard negative)
- "Avoid pricier options like Diligent Entities or CSC (enterprise-level, $100s+ per entity/month)" (Grok 4.1 Fast, budget prompt, hard negative)
- "Best for: Large enterprises... Market-leading security protocols... 150+ entities or complex global structures: Diligent Entities or CSC provide enterprise-grade capabilities" (Kimi K2, comparative prompt, first choice)
- "If you're a large multinational with 150+ entities across many jurisdictions → Diligent Entities or CSC provide the deepest enterprise governance" (DeepSeek V4 Flash, comparative prompt, first choice)
- "Diligent Entities and CSC Entity Management are frequently recommended due to their scalability" (Mistral Small, paraphrase prompt, first choice)

## What the models said about Commenda

- "Reported issues include: Complex interface causing confusion - Tax glitches and exemption problems" (Kimi K2, negative prompt, hard negative)
- "such as Commenda or ContractZen... Commenda - designed for mid-market companies with 5-30 entities across 8+ countries." (Llama 4 Maverick, direct prompt, first choice)
- "For most mid-market companies, Commenda and Athennian are frequently cited as top choices." (Claude Haiku 4.5, direct prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.