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Revenue intelligence and forecasting · September 2026 Edition

BoostUp vs Salesloft

One of twelve models named BoostUp first on the direct prompt; zero named Salesloft. BoostUp was named by ten of the twelve models and Salesloft by ten and BoostUp carries 17 labels and Salesloft 21, so the shares are not directly comparable.

BoostUp

accepted challenger

Named in one category this edition.

Salesloft

accepted challenger

Atlanta, United States, founded 2011. Named in thirteen categories this edition.

First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 13; printed, not drawn.
Labels1721A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BoostUp reading right to left. Rank and label count are printed, not drawn.Gong was named alongside these two in nine of the twelve direct answers. Avoma vs BoostUp · Avoma vs Salesloft · Clari Copilot vs BoostUp

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 revenue intelligence and forecasting page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
BoostUpFirst choices, of twelve modelsSalesloft
Direct10
Paraphrase30
Comparative01
Budget-constrained01
Scale-constrained00
Negative003 against Salesloft
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.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where BoostUp and Salesloft 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
BoostUp Salesloft first choice named as an alternative argued againstblank: not namedEach cell is one answer, BoostUp on the left and Salesloft on the right.

The direct prompt

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

BoostUp first, Salesloft not the choice

1 of 12 modelsSalesloft was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashBoostUp alternatives: Avoma, Gong, HubSpot Sales Hub

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.
Claude Haiku 4.5Clari Copilot alternatives: BoostUp, Gong, HubSpot Sales Hub, Revenue Grid
GPT-5.4 miniClari Copilot alternatives: BoostUp, Gong
Mistral SmallAvoma alternatives: BoostUp, Oliv, Revenue Grid, Salesloft
Kimi K2Avoma alternatives: BoostUp, Revenue Grid, Revenue.io
GLM 4.7 FlashXAvoma alternatives: Clari Copilot, Gong, HubSpot Sales Hub, Revenue Grid, Salesloft

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Oliv, Terret
Perplexity SonarAvoma alternatives: 6sense, Clari Copilot, Gong, ZoomInfo
Grok 4.1 FastGong alternatives: Avoma, Clari Copilot, HubSpot Sales Hub, Revenue Grid
Llama 4 MaverickBoostUp/Terret alternatives: HubSpot Sales Hub, InsightSquared, ZoomInfo GTM Workspace
Qwen 3.7 FlashClari Copilot alternatives: Einstein Copilot / EPM, Gong, Zuuna
MiniMax M2.5Avoma, Terret alternatives: Clari Copilot, Gong, HubSpot Sales Hub

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
BoostUp leads by two points.
BoostUp2%#– of 14
Salesloft0%#– of 14
The full small business standing →
Mid-marketThe figures above
BoostUp leads by five points.
BoostUp7%#5 of 13
Salesloft2%#8 of 13
The full mid-market standing →
Enterprise
The order flips: Salesloft leads at enterprise.
Salesloft2%#6 of 12
BoostUp0%#10 of 12
The full enterprise standing →

What the models said about BoostUp

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

“I'd recommend BoostUp if you want the best balance of pipeline analytics, AI forecasting, and mid-market fit” Perplexity Sonar · paraphrase prompt · first choice
“Top Recommendation: BoostUp (now Terret.ai) — Best for Mid-Market” Kimi K2 · paraphrase prompt · first choice
“BoostUp / Terret — Best overall for mid-market forecasting” DeepSeek V4 Flash · direct prompt · first choice

What the models said about Salesloft

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

“If your priority is board-level forecasting governance ... go with the combined Salesloft + Clari ecosystem.” Gemini 3.5 Flash · comparative prompt · first choice
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.