Digital sales rooms · October 2026 Edition
Dock vs DealHub DealRoom
Five of fourteen models named Dock first on the direct prompt; zero named DealHub DealRoom. Dock was named by fourteen of the fourteen models and DealHub DealRoom by thirteen and Dock carries 44 labels and DealHub DealRoom 29, so the shares are not directly comparable.
San Francisco, United States, founded 2021. Named in eight categories this edition.
Named in one category this edition.
First-choice share29%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#5A position in a field of 10; printed, not drawn.
Labels4429A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Dock reading right to left. Rank and label count are printed, not drawn.Trumpet was named alongside these two in thirteen of the fourteen direct answers. Dock vs Aligned · Dock vs Trumpet · Dock vs GetAccept
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 digital sales rooms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
DockFirst choices, of fourteen modelsDealHub DealRoom
Direct501 against DealHub DealRoom
Paraphrase91
Comparative00
Budget-constrained101 against Dock
Scale-constrained00
Negative207 against Dock · 3 against DealHub DealRoom
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Dock and DealHub DealRoom stood in it.
| 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 | | |
Dock DealHub DealRoom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dock on the left and DealHub DealRoom on the right.The direct prompt
The plain question, one answer per model, grouped by where Dock and DealHub DealRoom stood in it.
Dock first, DealHub DealRoom an alternative
5 of 14 modelsDealHub DealRoom was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashDock alternatives: Aligned, Arrows, Flowla, GetAccept, Trumpet
Perplexity SonarDock, Trumpet alternatives: GetAccept
Mistral SmallDock, Trumpet alternatives: GetAccept
DeepSeek V4 FlashDock alternatives: Aligned, GetAccept, Guideflow, Trumpet
Kimi K2Dock, Trumpet alternatives: Aligned, DealHub DealRoom, GetAccept
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniTrumpet alternatives: Aligned, DealHub DealRoom, GetAccept
Grok 4.1 FastAligned alternatives: DealHub DealRoom, GetAccept, Trumpet
GLM 4.7 FlashXAligned alternatives: Dock, GetAccept, Trumpet
GPT-6 LunaTrumpet alternatives: Dock
Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Aligned alternatives: GetAccept, Spekit, Trumpet
Llama 4 MaverickTrumpet alternatives: Aligned, GetAccept, Storylane
Qwen 3.7 FlashQwilr alternatives: Contxtus, Highspot, Loopio, PandaDoc
MiniMax M2.5Spekit, Trumpet alternatives: Aligned
Muse Glimmer 30BTrumpet alternatives: GetAccept, Showpad Shared Spaces
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.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Dock leads by five points.
Dock6%#4 of 12DealHub DealRoom2%#9 of 12Mid-marketThe figures above
Dock leads by twenty-seven points.
Dock29%#1 of 10DealHub DealRoom2%#5 of 10Enterprise
What the models said about Dock
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“(specifically mentioned to avoid) ... "Avoid platforms like Dock"” Kimi K2 · negative prompt · hard negative
“"one of the safest picks in the category" ... "the tradeoff: limited customization is the top complaint [50 G2 mentions], and some teams hit integration friction with third-party CRMs."” Muse Glimmer 30B · negative prompt · soft negative
“some reviews advise avoiding it at certain budget levels, noting that paid plans start around $350/month for just 5 users” Mistral Small · negative prompt · soft negative
“Prioritize platforms like Dock or Trumpet that offer a better balance of buyer experience, ease of adoption, and cost.” Qwen 3.7 Flash · negative prompt · first choice
“Dock is the top recommendation due to its balance of features, ease of use, and pricing tailored for mid-market teams” Mistral Small · paraphrase prompt · first choice
“Consider platforms with proven track records like: - Dock (bidirectional CRM integration, strong buyer experience)” GLM 4.7 FlashX · negative prompt · first choice
What the models said about DealHub DealRoom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
Also compared
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.