Sales enablement and content · October 2026 Edition
Highspot vs SalesHood
Six of fourteen models named Highspot first on the direct prompt; one named SalesHood. Highspot was named by fourteen of the fourteen models and SalesHood by eight and Highspot carries 62 labels and SalesHood 11, so the shares are not directly comparable.
Seattle, United States, founded 2012. Named in six categories this edition.
Named in three categories this edition.
First-choice share18%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate35%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 13; printed, not drawn.
Labels6211A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Highspot 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 Highspot · HubSpot Sales Hub vs SalesHood · Highspot vs Dock
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.
HighspotFirst choices, of fourteen modelsSalesHood
Direct61
Paraphrase203 against Highspot
Comparative201 against Highspot
Budget-constrained008 against Highspot
Scale-constrained10
Negative0010 against Highspot
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 Highspot and SalesHood 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 4.20 | | | | | | |
| 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 | | | |
Highspot SalesHood first choice named as an alternative argued againstblank: not namedEach cell is one answer, Highspot on the left and SalesHood on the right.The direct prompt
The plain question, one answer per model, grouped by where Highspot and SalesHood stood in it.
Highspot first, SalesHood an alternative
6 of 14 modelsSalesHood was named in the answer but not as the choice, or not at all.GPT-5.4 miniHighspot alternatives: Seismic, Showpad
Grok 4.20Highspot 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
Kimi K2Highspot, Showpad alternatives: Allego, Bigtincan, MindTickle
GLM 4.7 FlashXHighspot alternatives: Dock, HubSpot Sales Hub, Salesloft
SalesHood first, Highspot not the choice
1 of 14 modelsHighspot 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
4 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
Perplexity SonarDock alternatives: Highspot, HubSpot Sales Hub, Showpad, Spekit
MiniMax M2.5MindTickle alternatives: Highspot, Seismic, Showpad
Muse Glimmer 30BDock, HubSpot Sales Hub alternatives: Highspot, MindTickle, Showpad
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashShowpad alternatives: Dock, MindTickle, Seismic, Spekit
Mistral SmallDock
Llama 4 Maverickno first choice
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
Highspot leads by two points.
Highspot2%#6 of 11SalesHood0%#7 of 11Mid-marketThe figures above
Highspot leads by sixteen points.
Highspot18%#2 of 13SalesHood2%#7 of 13Enterprise
Highspot leads by twenty-three points.
Highspot23%#2 of 10SalesHood0%#9 of 10What the models said about Highspot
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“What to avoid on a budget: Enterprise-grade platforms like Highspot (from ~$45\u201360/user/month)” DeepSeek V4 Flash · budget prompt · hard negative
“1. Highspot (now part of Seismic) - Best for: Mid-sized to large B2B teams that want a comprehensive sales enablement platform” Mistral Small · paraphrase prompt · first choice
“Start with free trials from HubSpot or Highspot. ... | Highspot | Custom (enterprise skew) | Content-heavy teams | Strong analytics |” Grok 4.20 · scale prompt · first choice
“positioned as an AI platform for revenue execution... "the only unified platform with native AI built into every GTM motion"” Muse Glimmer 30B · comparative prompt · first choice
What the models said about SalesHood
No label in this category carried a quote.
Also compared
HubSpot Sales Hub vs HighspotHubSpot Sales Hub vs SalesHoodHighspot vs DockHighspot vs PaperfliteHighspot vs ShowpadHighspot vs MindTickleHighspot vs SeismicDock vs SalesHoodPaperflite vs SalesHoodShowpad vs SalesHoodMindTickle vs SalesHoodSalesHood 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.