# CPQ for enterprise buyers: what AI models recommend, September 2026

GTM AI Recommendation Index, September 2026 Edition. Asked as "CPQ software" and as "configure, price, quote tool", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://gtm-ai-index.com/revops/cpq/enterprise/

**Standing:** Salesforce CPQ leads with 31% of first choices; verdict contested. 51 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Salesforce CPQ | 31% | 29% | 42 |
| 2 | Salesforce Revenue Cloud | 29% | 6% | 33 |
| 3 | Oracle CPQ | 18% | 14% | 56 |
| 4 | DealHub | 6% | 9% | 46 |
| 5 | SAP CPQ | 6% | 15% | 48 |
| 6 | PROS Smart CPQ | 4% | 5% | 21 |
| 7 | Conga CPQ | 2% | 7% | 44 |
| 8 | Tacton | 0% | 5% | 20 |
| 9 | Experlogix | 0% | 30% | 10 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Oracle CPQ, Salesforce CPQ; alternatives SAP CPQ
- GPT-5.4 mini: Salesforce Revenue Management/CPQ; alternatives Conga CPQ, DealHub, Oracle CPQ, SAP CPQ
- Gemini 3.5 Flash: DealHub, Salesforce Revenue Cloud; alternatives Conga CPQ, Oracle CPQ, SAP CPQ, Tacton
- Perplexity Sonar: Salesforce CPQ, Salesforce Revenue Cloud; alternatives Conga CPQ, DealHub, Oracle CPQ, SAP CPQ
- Grok 4.1 Fast: Oracle CPQ, Salesforce CPQ; alternatives Conga CPQ, SAP CPQ
- Mistral Small: Salesforce Revenue Cloud; alternatives Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ
- DeepSeek V4 Flash: Salesforce Revenue Cloud; alternatives Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: Salesforce CPQ; alternatives Konfig, Microsoft Dynamics 365 CPQ, Oracle CPQ Cloud, Zingier
- Kimi K2: Salesforce Revenue Cloud; alternatives Conga CPQ, Oracle CPQ, PROS Smart CPQ, SAP CPQ
- GLM 4.7 FlashX: Salesforce Revenue Cloud; alternatives Conga CPQ, DealHub, Oracle CPQ, PROS Smart CPQ
- MiniMax M2.5: Salesforce CPQ; alternatives Guideflow, Turnstile

## Sources the answers cite

23 of 72 answers came back with a source list, from 4 of 12 models. Sites named in the most answers:

- guideflow.com: 10 answers, 11 citations
- monday.com: 8 answers, 12 citations
- cincom.com: 7 answers, 11 citations
- dealhub.io: 7 answers, 8 citations
- mobileforce.ai: 7 answers, 8 citations
- qobra.co: 7 answers, 7 citations
- gartner.com: 5 answers, 8 citations
- salesforce.com: 5 answers, 7 citations

Pages named in the most answers:

- https://guideflow.com/blog/best-cpq-software (10 answers)
- https://monday.com/blog/crm-and-sales/cpq-software (7 answers)
- https://qobra.co/blog/cpq-software (7 answers)
- https://cincom.com/blog/cpq/best-cpq-tools (6 answers)
- https://dealhub.io/blog/cpq/best-cpq-software-2026 (6 answers)
- https://mobileforce.ai/blog/best-cpq-software-in-2025-complete-guide-to-ai-powered-quote-configuration-pricing (6 answers)
- https://gartner.com/reviews/market/configure-price-quote-applications (5 answers)
- https://monday.com/blog/crm-and-sales/cpq (5 answers)
- https://zoovu.com/blog/best-cpq-software (5 answers)
- https://canvaslogic.com/best-cpq-software-for-enterprise (4 answers)

## Warned against

- Salesforce CPQ: 12 of 42 labels negative. "Clunky UX leading to low sales adoption; performance degradation with high-volume or multi-dimensional quotes... Avoid/Be Cautious If: Not fully Salesforce-native" (Grok 4.1 Fast, negative prompt)
- Oracle CPQ: 8 of 56 labels negative. "enterprise buyers are advised to avoid monolithic architectures if they need a diverse stack and composable integrations" (Perplexity Sonar, negative prompt)
- SAP CPQ: 7 of 48 labels negative. "Complex setup/integration outside SAP ecosystem; unintuitive UI for subscriptions/amendments; resource-intensive" (Grok 4.1 Fast, negative prompt)
- DealHub: 4 of 46 labels negative. "may cost less to deploy, but it is usually not the safest answer for thousands of users with complex enterprise requirements" (Perplexity Sonar, budget prompt)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.