Trumpet vs Seismic
Eight of twelve models named Trumpet first on the direct prompt; one named Seismic. Trumpet was named by twelve of the twelve models and Seismic by eleven and Trumpet carries 55 labels and Seismic 25, so the shares are not directly comparable.
Named in three categories this edition.
Named in eight 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 digital sales rooms page.
By framing
TrumpetFirst choices, of twelve modelsSeismic
Across every category in the September 2026 Edition, Trumpet and Seismic were named in the same answer seventy-eight times, of the 166 answers naming Trumpet and the 356 naming Seismic. In those answers Seismic took the first choice seven times and Trumpet nineteen.
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 | | | |
Trumpet Seismic first choice named as an alternative argued againstblank: not namedEach cell is one answer, Trumpet on the left and Seismic on the right.The direct prompt
Trumpet first, Seismic not the choice
8 of 12 modelsSeismic was named in the answer but not as the choice, or not at all.Seismic first, Trumpet not the choice
1 of 12 modelsTrumpet was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Trumpet13%#2 of 9Seismic0%#9 of 9Trumpet25%#2 of 14Seismic2%#8 of 14Seismic16%#1 of 12Trumpet14%#4 of 12What the models said about Trumpet
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Issues with customization limits... CRM synchronization and content-governance gaps reported” MiniMax M2.5 · negative prompt · hard negative
“Poor CRM integrations (e.g., Salesforce/HubSpot sync bugs... seen in some Aligned/Trumpet feedback) ... point solutions like Trumpet/Recapped not ideal for large governance needs” Grok 4.1 Fast · negative prompt · soft negative
“point solutions built for speed, effective for agile teams that need mutual action plans (MAPs) deployed fast, but not suitable for enterprise scale” Claude Haiku 4.5 · negative prompt · soft negative
“1. Trumpet - a digital sales room that enables sellers to build rich, interactive deal rooms with multimedia content, timelines, next steps, and stakeholder visibility.” Llama 4 Maverick · paraphrase prompt · first choice
“Trumpet is an excellent choice for startups and small teams. It offers a freemium tier ... making it ideal for budget-conscious teams” Claude Haiku 4.5 · budget prompt · first choice
“🏆 Best Overall: Trumpet - Ranked #1 Digital Sales Room globally (G2 Winter 2026), including #1 for mid-market.” Kimi K2 · direct prompt · first choice
What the models said about Seismic
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Seismic is arguably the leader... Go with Seismic if you are building a modern sales infrastructure and need deep analytics.” Qwen 3.7 Flash · direct 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.