Sales commissions and incentive compensation · October 2026 Edition
CaptivateIQ vs Xactly Incent
Four of fourteen models named CaptivateIQ first on the direct prompt; one named Xactly Incent. Both were named by all fourteen models and CaptivateIQ carries 57 labels and Xactly Incent 46, so the shares are not directly comparable.
Named in two categories this edition.
By Xactly Corporation, San Jose, United States, founded 2005. Named in one category this edition.
First-choice share25%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%48%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 10; printed, not drawn.
Labels5746A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, CaptivateIQ reading right to left. Rank and label count are printed, not drawn.Everstage was named alongside these two in ten of the fourteen direct answers. CaptivateIQ vs Everstage · CaptivateIQ vs QuotaPath · CaptivateIQ vs Commissionly
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 sales commissions and incentive compensation page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CaptivateIQFirst choices, of fourteen modelsXactly Incent
Direct414 against Xactly Incent
Paraphrase812 against Xactly Incent
Comparative313 against Xactly Incent
Budget-constrained003 against CaptivateIQ · 3 against Xactly Incent
Scale-constrained302 against Xactly Incent
Negative207 against CaptivateIQ · 8 against Xactly Incent
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, CaptivateIQ and Xactly Incent were named in the same answer 111 times, of the 158 answers naming CaptivateIQ and the 142 naming Xactly Incent. In those answers Xactly Incent took the first choice eighteen times and CaptivateIQ twenty-seven.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where CaptivateIQ and Xactly Incent stood in it.
| 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 | | | | | | |
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | |
CaptivateIQ Xactly Incent first choice named as an alternative argued againstblank: not namedEach cell is one answer, CaptivateIQ on the left and Xactly Incent on the right.The direct prompt
The plain question, one answer per model, grouped by where CaptivateIQ and Xactly Incent stood in it.
CaptivateIQ first, Xactly Incent an alternative
4 of 14 modelsXactly Incent was named in the answer but not as the choice, or not at all.Claude Haiku 4.5CaptivateIQ, Qobra alternatives: EasyComp, Everstage, Visdum
GPT-5.4 miniCaptivateIQ, Everstage alternatives: Salesforce Spiff, Xactly Incent
Gemini 3.5 FlashCaptivateIQ alternatives: Everstage, Performio, QuotaPath, Salesforce Spiff
Qwen 3.7 FlashCaptivateIQ, Everstage
Xactly Incent first, CaptivateIQ an alternative
1 of 14 modelsCaptivateIQ was named in the answer but not as the choice, or not at all.Mistral SmallVisdum, Xactly Incent alternatives: CaptivateIQ, Forma.ai, QuotaPath
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarQuotaPath alternatives: CaptivateIQ, Performio, Qobra
Grok 4.1 FastEverstage, Qobra alternatives: CaptivateIQ, Salesforce Spiff, Visdum
Kimi K2Everstage, Visdum alternatives: CaptivateIQ, QuotaPath
GLM 4.7 FlashXQuotaPath alternatives: CaptivateIQ, Everstage, Performio, Qobra
MiniMax M2.5Visdum alternatives: CaptivateIQ
GPT-6 LunaEverstage alternatives: CaptivateIQ, Salesforce Spiff
Muse Glimmer 30BQuotaPath alternatives: CaptivateIQ, Everstage, Qobra, Salesforce Spiff
Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.DeepSeek V4 FlashEverstage, QuotaPath alternatives: Performio, Qobra
Llama 4 MaverickQuotaPath
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
Level: the same share of first choices.
CaptivateIQ0%#9 of 11Xactly Incent0%#11 of 11Mid-marketThe figures above
CaptivateIQ leads by twenty-one points.
CaptivateIQ25%#1 of 10Xactly Incent3%#7 of 10Enterprise
The order flips: Xactly Incent leads at enterprise.
Xactly Incent28%#1 of 11CaptivateIQ24%#2 of 11What the models said about CaptivateIQ
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“usually out of the question due to high minimum user counts, steep monthly platform fees, and expensive implementation costs” Gemini 3.5 Flash · budget prompt · soft negative
“steeper learning curve than no-code alternatives, premium pricing (often 2-3x competitors for similar team sizes)” Claude Haiku 4.5 · negative prompt · soft negative
“CaptivateIQ (G2: ~4.7/5, but notable cons): - Issues: Steep learning curve for reporting/customization” Grok 4.1 Fast · negative prompt · soft negative
“points to CaptivateIQ and Everstage as the top choices due to their balance of flexibility, implementation speed, and modern usability.” Qwen 3.7 Flash · direct prompt · first choice
“CaptivateIQ - A flexible ICM platform that centralizes incentive plan design, participant management, and payout calculation in one workflow.” Llama 4 Maverick · paraphrase prompt · first choice
“If you want a platform that offers the best balance of flexibility, finance control, and scalability, shortlist CaptivateIQ.” Gemini 3.5 Flash · paraphrase prompt · first choice
What the models said about Xactly Incent
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“outdated interface that can feel clunky and unintuitive, with inadequate and cumbersome reporting features ... implementation is long and expensive” Claude Haiku 4.5 · negative prompt · hard negative
“Avoid older legacy tools like Xactly unless you have specific enterprise requirements.” Kimi K2 · direct prompt · hard negative
“Legacy technology issues: Users report clunky, confusing interfaces and slow loading times ... Despite these issues, it has decent overall ratings (4.2/5)” MiniMax M2.5 · negative prompt · soft negative
“Visdum and Xactly Incent are top choices due to their automation, integration, and scalability.” Mistral Small · direct prompt · first choice
“For most mid-sized B2B companies, Xactly and Varicent are the top choices” Mistral Small · paraphrase prompt · first choice
“For large, complex sales organizations: Xactly or Beqom” GLM 4.7 FlashX · comparative prompt · first choice
Also compared
CaptivateIQ vs EverstageCaptivateIQ vs QuotaPathCaptivateIQ vs CommissionlyCaptivateIQ vs QobraCaptivateIQ vs VisdumCaptivateIQ vs PerformioEverstage vs Xactly IncentQuotaPath vs Xactly IncentCommissionly vs Xactly IncentQobra vs Xactly IncentVisdum vs Xactly IncentXactly Incent vs PerformioAll twenty-eight head-to-head pages and the full commissions standing
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.