# GetAccept vs DealHub DealRoom: which do AI models recommend for sales rooms, October 2026

GTM AI Recommendation Index, October 2026 Edition, Digital sales rooms. Zero of fourteen models named GetAccept first on the direct prompt; zero named DealHub DealRoom. Page: https://gtm-ai-index.com/sales/digital-sales-rooms/getaccept-vs-dealhub-dealroom/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| GetAccept | 8% | #4 of 10 | 10% | 48 | 14 of 14 |
| DealHub DealRoom | 2% | #5 of 10 | 14% | 29 | 13 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: neither first, one named (first choices: Aligned) (alternatives: GetAccept, Spekit, Trumpet)
- GPT-5.4 mini: neither first, one named (first choices: Trumpet) (alternatives: Aligned, DealHub DealRoom, GetAccept)
- Gemini 3.5 Flash: neither first, one named (first choices: Dock) (alternatives: Aligned, Arrows, Flowla, GetAccept, Trumpet)
- Perplexity Sonar: neither first, one named (first choices: Dock, Trumpet) (alternatives: GetAccept)
- Grok 4.1 Fast: neither first, one named (first choices: Aligned) (alternatives: DealHub DealRoom, GetAccept, Trumpet)
- Mistral Small: neither first, one named (first choices: Dock, Trumpet) (alternatives: GetAccept)
- DeepSeek V4 Flash: neither first, one named (first choices: Dock) (alternatives: Aligned, GetAccept, Guideflow, Trumpet)
- Llama 4 Maverick: neither first, one named (first choices: Trumpet) (alternatives: Aligned, GetAccept, Storylane)
- Kimi K2: neither first, one named (first choices: Dock, Trumpet) (alternatives: Aligned, DealHub DealRoom, GetAccept)
- GLM 4.7 FlashX: neither first, one named (first choices: Aligned) (alternatives: Dock, GetAccept, Trumpet)
- Muse Glimmer 30B: neither first, one named (first choices: Trumpet) (alternatives: GetAccept, Showpad Shared Spaces)
- Qwen 3.7 Flash: neither named (first choices: Qwilr) (alternatives: Contxtus, Highspot, Loopio, PandaDoc)
- MiniMax M2.5: neither named (first choices: Spekit, Trumpet) (alternatives: Aligned)
- GPT-6 Luna: neither named (first choices: Trumpet) (alternatives: Dock)

## What the models said about GetAccept

- "Avoid pricier ones like GetAccept ($49/user/mo min 5 seats) unless you need built-in e-sign/CPQ." (Grok 4.1 Fast, budget prompt, hard negative)
- "Multiple user complaints describe the platform as "filled with bugs and usability problems"" (MiniMax M2.5, negative prompt, hard negative)
- "The safest choice is to avoid GetAccept (due to billing/trust issues)" (DeepSeek V4 Flash, negative prompt, hard negative)
- "If you need a true digital sales room: Go with GetAccept at $25/user/month \u2013 it offers the most complete DSR experience" (Kimi K2, budget prompt, first choice)
- "Choose GetAccept if you need a complete sales workflow (content + signatures) for a fixed, reasonable monthly fee." (Qwen 3.7 Flash, budget prompt, first choice)
- "Dock or GetAccept... with GetAccept as a strong alternative depending on your specific needs" (Kimi K2, paraphrase prompt, first choice)

## What the models said about DealHub DealRoom

- "DealHub (if not primarily needing CPQ) ... Over-Specialization ... may not be the right fit" (Qwen 3.7 Flash, negative prompt, hard negative)
- "Heavier and more complex to implement; may feel over‑engineered for smaller mid‑market teams." (GLM 4.7 FlashX, direct prompt, soft negative)
- "Despite its high ratings, DealHub has several significant concerns" (GLM 4.7 FlashX, negative prompt, soft negative)
- "I would recommend DealHub as the primary choice" (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "Unifies collaboration, proposals, approvals, and workflows in one centralized deal room." (Mistral Small, comparative prompt, alternative)
- "Stick to top-rated ones for safety: Trumpet ..., DealHub (strong workflows)" (Grok 4.1 Fast, negative prompt, alternative)

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.