Sales enablement and content · October 2026 Edition
SalesHood vs Seismic
One of fourteen models named SalesHood first on the direct prompt; zero named Seismic. SalesHood was named by eight of the fourteen models and Seismic by fourteen and SalesHood carries 11 labels and Seismic 54, so the shares are not directly comparable.
Named in three categories this edition.
Named in six categories this edition.
First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%39%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 13; printed, not drawn.
Labels1154A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, SalesHood reading right to left. Rank and label count are printed, not drawn.Showpad was named alongside these two in ten of the fourteen direct answers. HubSpot Sales Hub vs SalesHood · HubSpot Sales Hub vs Seismic · Highspot vs SalesHood
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 sales enablement and content page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SalesHoodFirst choices, of fourteen modelsSeismic
Direct101 against Seismic
Paraphrase014 against Seismic
Comparative04
Budget-constrained008 against Seismic
Scale-constrained001 against Seismic
Negative007 against Seismic
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 SalesHood and Seismic 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 | |
SalesHood Seismic first choice named as an alternative argued againstblank: not namedEach cell is one answer, SalesHood on the left and Seismic on the right.The direct prompt
The plain question, one answer per model, grouped by where SalesHood and Seismic stood in it.
SalesHood first, Seismic an alternative
1 of 14 modelsSeismic was named in the answer but not as the choice, or not at all.GPT-6 LunaSalesHood alternatives: Seismic, Showpad
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5Dock alternatives: Gong Enable, HubSpot Sales Hub, MindTickle, SalesHood, Showpad
GPT-5.4 miniHighspot alternatives: Seismic, Showpad
Gemini 3.5 FlashShowpad alternatives: Dock, MindTickle, Seismic, Spekit
Grok 4.1 FastHighspot alternatives: HubSpot Sales Hub, MindTickle, SalesHood
DeepSeek V4 FlashHighspot alternatives: Dock, MindTickle, SalesHood, Seismic, Showpad, Spekit
Qwen 3.7 FlashHighspot alternatives: Lessons.ai, MindTickle, Seismic, Showpad
MiniMax M2.5MindTickle alternatives: Highspot, Seismic, Showpad
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Perplexity SonarDock alternatives: Highspot, HubSpot Sales Hub, Showpad, Spekit
Mistral SmallDock
Llama 4 Maverickno first choice
Kimi K2Highspot, Showpad alternatives: Allego, Bigtincan, MindTickle
GLM 4.7 FlashXHighspot alternatives: Dock, HubSpot Sales Hub, Salesloft
Muse Glimmer 30BDock, HubSpot Sales Hub alternatives: Highspot, MindTickle, Showpad
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
Level: the same share of first choices.
SalesHood0%#7 of 11Seismic0%#11 of 11Mid-marketThe figures above
Level: the same share of first choices.
SalesHood2%#7 of 13Seismic2%#8 of 13Enterprise
Seismic leads by fifty-eight points.
Seismic58%#1 of 10SalesHood0%#9 of 10What the models said about SalesHood
No label in this category carried a quote.
What the models said about Seismic
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“it is often overly expensive... Avoid it unless you already have a mature, dedicated Sales Enablement department.” Gemini 3.5 Flash · paraphrase prompt · hard negative
“Avoid taking demo calls with legacy enterprise platforms (e.g., Seismic, Highspot, Showpad).” Gemini 3.5 Flash · budget prompt · hard negative
“If you need to organize complex marketing collateral and guarantee compliance across a massive global team, Seismic is the standard.” Gemini 3.5 Flash · comparative prompt · first choice
“Choose Seismic if your priority is content control—you need strict governance, compliance tracking, and deep insights” Qwen 3.7 Flash · comparative prompt · first choice
“Choose Seismic if you want the most comprehensive enterprise suite.” GPT-5.4 mini · comparative prompt · first choice
Also compared
HubSpot Sales Hub vs SalesHoodHubSpot Sales Hub vs SeismicHighspot vs SalesHoodHighspot vs SeismicDock vs SalesHoodDock vs SeismicPaperflite vs SalesHoodPaperflite vs SeismicShowpad vs SalesHoodShowpad vs SeismicMindTickle vs SalesHoodMindTickle vs SeismicAll twenty-eight head-to-head pages and the full sales enablement standing
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.