Dock vs Showpad
Five of twelve models named Dock first on the direct prompt; one named Showpad. Dock was named by eleven of the twelve models and Showpad by twelve and Dock carries 28 labels and Showpad 43, so the shares are not directly comparable.
San Francisco, United States, founded 2021. Named in six categories this edition.
Named in three categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 sales enablement and content page.
By framing
DockFirst choices, of twelve modelsShowpad
Across every category in the September 2026 Edition, Dock and Showpad were named in the same answer sixty-five times, of the 208 answers naming Dock and the 199 naming Showpad. In those answers Showpad took the first choice three times and Dock ten.
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 4.1 Fast | | | | | ||
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |
Dock Showpad first choice named as an alternative argued againstblank: not namedEach cell is one answer, Dock on the left and Showpad on the right.The direct prompt
Dock first, Showpad an alternative
5 of 12 modelsShowpad was named in the answer but not as the choice, or not at all.Showpad first, Dock an alternative
1 of 12 modelsDock was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 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
Dock0%#10 of 13Showpad0%#6 of 13What the models said about Dock
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Dock: Best for mid-market B2B teams that want to enable buyers and sellers with deal rooms, onboarding portals, CMS, and LMS in one platform—without enterprise bloat.” Claude Haiku 4.5 · direct prompt · first choice
“I'd recommend starting with HubSpot if you want an all-in-one solution, or Dock if you prefer something more focused on content management” MiniMax M2.5 · paraphrase prompt · first choice
“or Dock if you're a smaller, fast-moving mid-market team (5–100 sellers) that wants capability without enterprise bloat or cost” DeepSeek V4 Flash · paraphrase prompt · first choice
What the models said about Showpad
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Security concerns: August 2025 security issue with Drift integration led to widespread data exposure” Mistral Small · negative prompt · hard negative
“Recommendation: Avoid signing new multi-year contracts until post-integration roadmaps are clear” Kimi K2 · negative prompt · hard negative
“Avoid signing new multi-year contracts with Highspot, Seismic, Showpad, or Brainshark” GLM 4.7 FlashX · negative prompt · hard negative
“the strongest fit is Showpad if you have a larger mid-market sales team (100+ reps), or Dock if you're a smaller, fast-moving mid-market team” DeepSeek V4 Flash · paraphrase prompt · first choice
“Showpad - Best Overall Balance ... I'd recommend starting with Showpad or Paperflite” GLM 4.7 FlashX · paraphrase 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.