CaptivateIQ vs Varicent
Three of twelve models named CaptivateIQ first on the direct prompt; zero named Varicent. Both were named by all twelve models and CaptivateIQ carries 44 labels and Varicent 36, so the shares are not directly comparable.
Named in three categories this edition.
Named in two 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 territory and quota planning page.
By framing
CaptivateIQFirst choices, of twelve modelsVaricent
Across every category in the September 2026 Edition, CaptivateIQ and Varicent were named in the same answer 132 times, of the 256 answers naming CaptivateIQ and the 173 naming Varicent. In those answers Varicent took the first choice twenty-one times and CaptivateIQ twenty-five.
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 | | |
CaptivateIQ Varicent first choice named as an alternative argued againstblank: not namedEach cell is one answer, CaptivateIQ on the left and Varicent on the right.The direct prompt
CaptivateIQ first, Varicent an alternative
3 of 12 modelsVaricent was named in the answer but not as the choice, or not at all.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.Neither was named
4 of 12 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
CaptivateIQ6%#3 of 13Varicent0%#12 of 13CaptivateIQ30%#1 of 11Varicent2%#7 of 11Varicent35%#1 of 10CaptivateIQ4%#5 of 10What the models said about CaptivateIQ
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Mid-market RevOps tools (~$20K+/year or $2,400+/user/year).” DeepSeek V4 Flash · budget prompt · hard negative
“End-to-End Revenue Plan | CaptivateIQ, Forma.ai | Combines territory carving, quota setting, and variable comp in a single agile platform.” Qwen 3.7 Flash · scale prompt · first choice
“CaptivateIQ is widely considered the strongest option for mid-market teams because it eliminates the need for multiple disconnected tools.” Qwen 3.7 Flash · direct prompt · first choice
What the models said about Varicent
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“What to avoid for mid-market ... Varicent / Xactly / Oracle SPM — Full sales-performance suites costing $50K–$100K+/year” DeepSeek V4 Flash · direct prompt · hard negative
“Skip these (too expensive for a limited budget)” DeepSeek V4 Flash · budget prompt · hard negative
“Varicent Territory Sales Planning supports complex territory modeling, robust scenario modeling, and AI-assisted planning” Claude Haiku 4.5 · comparative prompt · first choice
“Varicent - Strongest for complex orgs needing linked territory/quota planning with AI insights” Mistral Small · scale prompt · first choice
“Best for: Enterprises linking territory/quota to incentive compensation (ICM), with AI whitespace analysis.” Grok 4.1 Fast · comparative 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.