# iDeals vs Datasite Diligence: which do AI models recommend for virtual data rooms, October 2026

Finance AI Recommendation Index, October 2026 Edition, Virtual data rooms. Eight of fourteen models named iDeals first on the direct prompt; zero named Datasite Diligence. Page: https://finance-ai-index.com/corporate/virtual-data-rooms/ideals-vs-datasite-diligence/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| iDeals | 25% | #1 of 15 | 4% | 46 | 14 of 14 |
| Datasite Diligence | 3% | #8 of 15 | 47% | 53 | 14 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: ideals first (first choices: iDeals) (alternatives: CapLinked, Firmex)
- Gemini 3.5 Flash: ideals first (first choices: iDeals) (alternatives: CapLinked, DealRoom, Firmex, ShareVault)
- Grok 4.1 Fast: ideals first (first choices: Firmex, iDeals) (alternatives: FirmRoom, SecureDocs, ShareVault)
- Mistral Small: ideals first (first choices: Firmex, iDeals) (alternatives: FirmRoom)
- DeepSeek V4 Flash: ideals first (first choices: iDeals) (alternatives: Firmex, SecureDocs)
- Kimi K2: ideals first (first choices: iDeals) (alternatives: DealRoom, FirmRoom, Firmex)
- MiniMax M2.5: ideals first (first choices: iDeals) (alternatives: FirmRoom, Firmex)
- Muse Glimmer 30B: ideals first (first choices: iDeals) (alternatives: DealRoom, FirmRoom, Firmex)
- GPT-5.4 mini: neither first, one named (first choices: iDeals Virtual Data Room) (alternatives: Clinked, Datasite Diligence, Firmex, SecureDocs)
- Perplexity Sonar: neither first, one named (first choices: Firmex) (alternatives: Datasite Diligence, Papermark, SecureDocs, iDeals)
- Qwen 3.7 Flash: neither first, one named (first choices: FirmRoom, Firmex) (alternatives: iDeals)
- GPT-6 Luna: neither first, one named (first choices: Firmex) (alternatives: Datasite Diligence, DealRoom, Intralinks, iDeals)
- Llama 4 Maverick: neither named
- GLM 4.7 FlashX: neither named (first choices: iDeals Virtual Data Room) (alternatives: Clinked, DealRoom, Firmex)

## What the models said about iDeals

- "iDeals frequently appears in negative discussions regarding its business practices and administrative friction." (Qwen 3.7 Flash, negative prompt, soft negative)
- "Some concerns (though generally well-reviewed) - Pricing concerns" (DeepSeek V4 Flash, negative prompt, soft negative)
- "often positioned as a strong *overall* choice, with broad use across M&A, fundraising, and life sciences, and a high review score in one comparison" (Perplexity Sonar, comparative prompt, first choice)
- "Often positioned as a strong all-around choice for teams that want a user-friendly VDR with broad functionality and more transparent pricing" (GPT-5.4 mini, comparative prompt, first choice)
- "The mid-market leaders (iDeals, FirmEx, FirmRoom, SecureDocs, Papermark) offer strong security and features at flat-rate pricing" (DeepSeek V4 Flash, scale prompt, first choice)

## What the models said about Datasite Diligence

- "What to Avoid ... Enterprise providers like Datasite or Intralinks: $5,000–$50,000+ per deal" (Kimi K2, budget prompt, hard negative)
- "Avoid legacy per-page pricing (Intralinks, Datasite) unless doing large cross-border deals." (Kimi K2, direct prompt, hard negative)
- "Avoid legacy providers like Datasite and Intralinks" (DeepSeek V4 Flash, budget prompt, hard negative)
- "Built around M&A workflows, with AI-assisted document search and review, redaction, Q&A, and deal tools. A strong candidate when handling a large room or many bidders." (GPT-6 Luna, comparative prompt, first choice)
- "Choose Intralinks/Datasite if: You're working on a large M&A deal where your counterparty (investment bank) mandates it" (Kimi K2, comparative prompt, first choice)
- "Best for large enterprise M&A and complex, high-value transactions... considered the enterprise standard for M&A" (Mistral Small, comparative 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.