Zero of fourteen models named Ansarada first on the direct prompt; zero named Datasite Diligence. Ansarada was named by eleven of the fourteen models and Datasite Diligence by fourteen and Ansarada carries 21 labels and Datasite Diligence 53, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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; every quote names the model and the prompt it came from. Both figures come from the virtual data rooms page.
Across every category in the October 2026 Edition, Ansarada and Datasite Diligence were named in the same answer forty-eight times, of the 57 answers naming Ansarada and the 156 naming Datasite Diligence. In those answers Datasite Diligence took the first choice twenty-two times and Ansarada one.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“One concrete example to examine carefully: Ansarada’s storage-overage terms. ... That’s a pricing and contract caution—not a claim that the product is unsafe.” GPT-6 Luna · negative prompt · soft negative
“Watch out for "peak usage" storage clauses (such as those in Ansarada's pricing)” Gemini 3.5 Flash · negative prompt · soft negative
“Modern, Scalable Mid-Market (Strongest fit for a 500-person firm): Examples: iDeals, Firmex, Ansarada.” Gemini 3.5 Flash · scale prompt · first choice
“my default recommendation would be Ansarada” GPT-5.4 mini · paraphrase prompt · first choice
“Ansarada is noted for "AI-supported deal workflows, M&A, capital raising, infrastructure procurement, and structured diligence processes"” Muse Glimmer 30B · comparative prompt · alternative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.