Salesloft vs HubSpot Sales Hub
Six of twelve models named Salesloft first on the direct prompt; zero named HubSpot Sales Hub. Both were named by all twelve models and Salesloft carries 64 labels and HubSpot Sales Hub 48, so the shares are not directly comparable.
Atlanta, United States, founded 2011. Named in thirteen categories this edition.
By HubSpot, Cambridge, United States, founded 2006. Named in sixteen 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 engagement platforms page.
By framing
SalesloftFirst choices, of twelve modelsHubSpot Sales Hub
Across every category in the September 2026 Edition, Salesloft and HubSpot Sales Hub were named in the same answer 136 times, of the 362 answers naming Salesloft and the 501 naming HubSpot Sales Hub. In those answers HubSpot Sales Hub took the first choice twenty-four times and Salesloft twenty-eight.
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 | | | | |
Salesloft HubSpot Sales Hub first choice named as an alternative argued againstblank: not namedEach cell is one answer, Salesloft on the left and HubSpot Sales Hub on the right.The direct prompt
Salesloft first, HubSpot Sales Hub an alternative
6 of 12 modelsHubSpot Sales Hub was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.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
HubSpot Sales Hub10%#3 of 13Salesloft0%#12 of 13Salesloft35%#1 of 10HubSpot Sales Hub8%#4 of 10Salesloft27%#2 of 7HubSpot Sales Hub10%#4 of 7What the models said about Salesloft
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Avoid if: Cold email/calling heavy, regulated industry (security concerns), or budget-sensitive (hidden fees stack up).” Grok 4.1 Fast · negative prompt · hard negative
“Avoid enterprise options: Outreach/Salesloft (~$100-150/user/mo) are overkill and pricey” Grok 4.1 Fast · budget prompt · hard negative
“Overpriced for what you get; operational headaches outweigh benefits for most teams.” Kimi K2 · negative prompt · hard negative
“Salesloft — Outreach's closest rival; strong deliverability + AI task prioritization (Rhythm)... Strong for structured outbound with 50+ reps.” DeepSeek V4 Flash · scale prompt · first choice
“Salesloft | Enterprise SDR + AE motion | ~$125-165/user/month | Deep forecasting, conversation intelligence, strong G2 rating (4.5/5)” Kimi K2 · scale prompt · first choice
“The best sales engagement platform for a mid-market B2B company is likely to be Salesloft, Apollo, or Outreach.” Llama 4 Maverick · direct prompt · first choice
What the models said about HubSpot Sales Hub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Never use for cold email: HubSpot Sales Hub” Kimi K2 · negative prompt · hard negative
“some features are only accessible in high-tier plans, which can be costly, and the platform can sometimes be slow” Claude Haiku 4.5 · negative prompt · soft negative
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.