Dock vs Recapped
Three of fourteen models named Dock first on the direct prompt; zero named Recapped. Dock was named by fourteen of the fourteen models and Recapped by seven and Dock carries 50 labels and Recapped 12, 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.
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
DockFirst choices, of fourteen modelsRecapped
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.20 | | | | | ||
| 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 Recapped first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dock on the left and Recapped on the right.The direct prompt
Dock first, Recapped not the choice
3 of 14 modelsRecapped was named in the answer but not as the choice, or not at all.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.Neither was named
7 of 14 modelsThe answer made no first choice from these two in this category.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
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.
“I'd skip Dock if keeping ongoing costs very low is the priority: its free plan doesn't include seats” GPT-6 Luna · budget prompt · hard negative
“Dock lacks the depth needed for complex, multi-stakeholder enterprise sales processes” Mistral Small · negative prompt · hard negative
“Platforms like Accord or Dock can charge platform base fees (e.g., $350+/mo) on top of per-user seats, making them costly for small teams.” Gemini 3.5 Flash · budget prompt · soft negative
“Dock – Currently the top choice, leading in buyer engagement and deal room functionality for mid-market B2B companies.” Mistral Small · paraphrase prompt · first choice
“My default recommendation: Dock for a mid-sized B2B company that wants a buyer-facing deal room” GPT-6 Luna · paraphrase prompt · first choice
“Mid-market, need sales→onboarding continuity → Dock (flat-rate, reusable workspaces)” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Recapped
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Platforms to Completely Avoid ... Recapped (recapped.io) - Critical Issue: The platform is shutting down on July 31, 2026” GLM 4.7 FlashX · negative prompt · hard negative
“Recapped is explicitly mentioned as a platform to avoid or be highly cautious about” Mistral Small · negative prompt · hard negative
“Trumpet and Recapped are explicitly flagged as "not suitable for enterprise scale"” Llama 4 Maverick · negative prompt · hard negative
“Aligned or Recapped are your best bets since they offer free plans with solid features” Claude Haiku 4.5 · budget prompt · first choice
“Trumpet and Recapped are point solutions built for speed” Claude Haiku 4.5 · comparative prompt · alternative
“Recapped is strong for mid-market adoption” Grok 4.20 · direct prompt · alternative
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.