# Commissionly vs Xactly Incent: which do AI models recommend for commissions, October 2026

GTM AI Recommendation Index, October 2026 Edition, Sales commissions and incentive compensation. Zero of fourteen models named Commissionly first on the direct prompt; one named Xactly Incent. Page: https://gtm-ai-index.com/revops/sales-commissions-and-incentive-compensation/commissionly-vs-xactly-incent/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Commissionly | 10% | #4 of 10 | 17% | 12 | 10 of 14 |
| Xactly Incent | 3% | #7 of 10 | 48% | 46 | 14 of 14 |

## The direct prompt, model by model

- Mistral Small: xactly incent first (first choices: Visdum, Xactly Incent) (alternatives: CaptivateIQ, Forma.ai, QuotaPath)
- GPT-5.4 mini: neither first, one named (first choices: CaptivateIQ, Everstage) (alternatives: Salesforce Spiff, Xactly Incent)
- Claude Haiku 4.5: neither named (first choices: CaptivateIQ, Qobra) (alternatives: EasyComp, Everstage, Visdum)
- Gemini 3.5 Flash: neither named (first choices: CaptivateIQ) (alternatives: Everstage, Performio, QuotaPath, Salesforce Spiff)
- Perplexity Sonar: neither named (first choices: QuotaPath) (alternatives: CaptivateIQ, Performio, Qobra)
- Grok 4.1 Fast: neither named (first choices: Everstage, Qobra) (alternatives: CaptivateIQ, Salesforce Spiff, Visdum)
- DeepSeek V4 Flash: neither named (first choices: Everstage, QuotaPath) (alternatives: Performio, Qobra)
- Llama 4 Maverick: neither named (first choices: QuotaPath)
- Qwen 3.7 Flash: neither named (first choices: CaptivateIQ, Everstage)
- Kimi K2: neither named (first choices: Everstage, Visdum) (alternatives: CaptivateIQ, QuotaPath)
- GLM 4.7 FlashX: neither named (first choices: QuotaPath) (alternatives: CaptivateIQ, Everstage, Performio, Qobra)
- MiniMax M2.5: neither named (first choices: Visdum) (alternatives: CaptivateIQ)
- GPT-6 Luna: neither named (first choices: Everstage) (alternatives: CaptivateIQ, Salesforce Spiff)
- Muse Glimmer 30B: neither named (first choices: QuotaPath) (alternatives: CaptivateIQ, Everstage, Qobra, Salesforce Spiff)

## What the models said about Commissionly

- "Who should avoid: Companies with complex commission plans or those needing deep custom reporting." (DeepSeek V4 Flash, negative prompt, soft negative)
- "may not be suitable for larger teams or those with complex commission structures" (Mistral Small, negative prompt, soft negative)
- "Commissionly and Sales Cookie are the top recommendations due to their low cost and simplicity" (Mistral Small, budget prompt, first choice)
- "Commissionly is the most frequently recommended budget-friendly choice in 2025-2026 round-ups" (Muse Glimmer 30B, budget prompt, first choice)
- "For a company with a limited budget, I'd recommend starting with Commissionly or Sales Cookie." (DeepSeek V4 Flash, budget prompt, first choice)

## What the models said about Xactly Incent

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.