Gong vs BoostUp
Three of fourteen models named Gong first on the direct prompt; one named BoostUp. Gong was named by fourteen of the fourteen models and BoostUp by ten and Gong carries 63 labels and BoostUp 10, so the shares are not directly comparable.
By Gong.io, Ramat Gan, Israel, founded 2015. Named in fourteen categories this edition.
Named in one category this edition.
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 revenue intelligence and forecasting page.
By framing
GongFirst choices, of fourteen modelsBoostUp
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 4.20 | | | | | | |
| 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 | | | |
Gong BoostUp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gong on the left and BoostUp on the right.The direct prompt
Gong first, BoostUp not the choice
3 of 14 modelsBoostUp was named in the answer but not as the choice, or not at all.BoostUp first, Gong not the choice
1 of 14 modelsGong was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 of 14 modelsThe answer made no first choice from these two in this category.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
Gong2%#9 of 13BoostUp—not namedWhat the models said about Gong
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid Gong if your team is under 15\u201320 reps or if you lack a dedicated Revenue Operations (RevOps) professional” Gemini 3.5 Flash · negative prompt · hard negative
“What to Avoid (Too Expensive for Limited Budgets) ... Enterprise-focused with mandatory platform fees” Kimi K2 · budget prompt · hard negative
“Gong pioneered the category by automatically recording and transcribing sales calls... Best For: Organizations prioritizing deep qualitative analysis of sales conversations and rep coaching.” Qwen 3.7 Flash · comparative prompt · first choice
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.
“BoostUp is currently the strongest specialist choice for the mid-market” Qwen 3.7 Flash · direct prompt · first choice
“If you want AI-powered forecasting: BoostUp (now Terret) provides AI-powered forecasting with strong pipeline analytics and risk detection” Claude Haiku 4.5 · paraphrase prompt · alternative
“Excellent, highly-rated mid-market alternatives to Clari” Gemini 3.5 Flash · scale prompt · alternative
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.