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Sales enablement and content · September 2026 Edition

Seismic vs SalesHood

One of twelve models named Seismic first on the direct prompt; one named SalesHood. Both were named by all twelve models and Seismic carries 51 labels and SalesHood 19, so the shares are not directly comparable.

Seismic

criticized challenger

Named in eight categories this edition.

SalesHood

accepted challenger

Named in two categories this edition.

First-choice share8%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate59%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#8A position in a field of 12; printed, not drawn.
Labels5119A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Seismic reading right to left. Rank and label count are printed, not drawn.Dock was named alongside these two in nine of the twelve direct answers. Dock vs Seismic · Dock vs SalesHood · HubSpot Sales Hub vs Seismic

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

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SeismicFirst choices, of twelve modelsSalesHood
Direct115 against Seismic
Paraphrase104 against Seismic
Comparative60
Budget-constrained007 against Seismic
Scale-constrained212 against Seismic
Negative0112 against Seismic
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, Seismic and SalesHood were named in the same answer seventy-one times, of the 356 answers naming Seismic and the 135 naming SalesHood. In those answers SalesHood took the first choice eight times and Seismic thirteen.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Seismic and SalesHood stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Seismic SalesHood first choice named as an alternative argued againstblank: not namedEach cell is one answer, Seismic on the left and SalesHood on the right.

The direct prompt

The plain question, one answer per model, grouped by where Seismic and SalesHood stood in it.

Seismic first, SalesHood an alternative

1 of 12 modelsSalesHood was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashSeismic alternatives: Highspot, MindTickle, SalesHood

SalesHood first, Seismic not the choice

1 of 12 modelsSeismic was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashSalesHood alternatives: Dock, Spekit

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniHighspot alternatives: Allego, MindTickle, Seismic, Showpad
Perplexity SonarDock alternatives: Highspot, MindTickle, SalesHood, Spekit
Grok 4.1 FastHighspot, HubSpot Sales Hub alternatives: Dock, MindTickle, Seismic, Spekit
Kimi K2Dock, Spekit alternatives: MindTickle, SalesHood
MiniMax M2.5Showpad alternatives: Convo, Dock, HubSpot Sales Hub, SalesHood, Spekit

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Dock, MindTickle alternatives: HubSpot Sales Hub
Gemini 3.5 FlashHighspot alternatives: Aligned, HubSpot Sales Hub, MindTickle, Spekit, Trumpet
Mistral SmallDock alternatives: GTM Buddy, Spekit
Llama 4 MaverickSpekit® alternatives: Consensus, Dock, GTM Buddy, Highspot, HubSpot Sales Hub, Trumpet
GLM 4.7 FlashXDock alternatives: Showpad, Spekit

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
Seismic leads by two points.
Seismic2%#6 of 13
SalesHood0%#8 of 13
The full small business standing →
Mid-marketThe figures above
Seismic leads by four points.
Seismic8%#6 of 12
SalesHood4%#8 of 12
The full mid-market standing →
Enterprise
Seismic leads by sixty-two points.
Seismic62%#1 of 13
SalesHood0%#7 of 13
The full enterprise standing →

What the models said about Seismic

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.

“What I'd Avoid for Mid-Market ... Expensive ($75K+ minimums), heavy implementation, built for large enterprises” Kimi K2 · paraphrase prompt · hard negative
“Avoid enterprise platforms (Seismic, Highspot, Gong, Mindtickle) — most require $20K–$50K+ annual minimums” DeepSeek V4 Flash · budget prompt · hard negative
“What to Avoid ... Seismic and Highspot are generally over-engineered and overpriced for mid-market teams” Kimi K2 · direct prompt · hard negative
“I'd usually recommend Seismic if your main goal is to give sales reps a strong, scalable content management and enablement system.” GPT-5.4 mini · paraphrase prompt · first choice
“### 1. Seismic (formerly Highspot) - Primary Strength: Enterprise content management + guided selling” Mistral Small · comparative prompt · first choice
“Seismic is the market heavyweight. Its strongest differentiator is advanced content governance.” Gemini 3.5 Flash · comparative prompt · first choice

What the models said about SalesHood

No label in this category carried a quote.

Also compared

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.