# Gong vs Salesforce Revenue Intelligence: which do AI models recommend for revenue intel, October 2026

GTM AI Recommendation Index, October 2026 Edition, Revenue intelligence and forecasting. Three of fourteen models named Gong first on the direct prompt; zero named Salesforce Revenue Intelligence. Page: https://gtm-ai-index.com/sales/revenue-intelligence-and-forecasting/gong-vs-salesforce-revenue-intelligence/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Gong | 12% | #3 of 14 | 35% | 63 | 14 of 14 |
| Salesforce Revenue Intelligence | 2% | #8 of 14 | 29% | 21 | 12 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: gong first (first choices: Gong) (alternatives: Ebsta, HubSpot Sales Hub, Terret)
- MiniMax M2.5: gong first (first choices: Clari Copilot, Gong) (alternatives: HubSpot Sales Hub, Revenue Grid)
- GPT-6 Luna: gong first (first choices: Gong) (alternatives: HubSpot Sales Hub, Salesforce Revenue Intelligence, Salesloft with Clari Forecast)
- GPT-5.4 mini: neither first, one named (first choices: Clari Copilot) (alternatives: Aviso, Gong)
- Perplexity Sonar: neither first, one named (first choices: Clari Copilot) (alternatives: Avoma, Revenue.io, Salesforce Revenue Intelligence)
- Mistral Small: neither first, one named (first choices: Clari Copilot) (alternatives: Demandbase, Gong, HubSpot Sales Hub)
- DeepSeek V4 Flash: neither first, one named (first choices: Terret) (alternatives: Avoma, Clari Copilot, Gong, Salesforce Revenue Intelligence)
- Kimi K2: neither first, one named (first choices: Avoma) (alternatives: Clari Copilot, Gong)
- GLM 4.7 FlashX: neither first, one named (first choices: Clari Copilot) (alternatives: Gong, HubSpot Sales Hub, ZoomInfo GTM Workspace)
- Muse Glimmer 30B: neither first, one named (first choices: Revenue Grid) (alternatives: Clari Copilot, HubSpot Sales Hub, Salesforce Revenue Intelligence)
- Claude Haiku 4.5: neither named (first choices: Terret) (alternatives: Aviso, Avoma, HubSpot Sales Hub)
- Grok 4.1 Fast: neither named (first choices: Revenue Grid) (alternatives: Clari Copilot, HubSpot Sales Hub)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: BoostUp) (alternatives: Clari Copilot)

## What the models said about Gong

- "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 Salesforce Revenue Intelligence

- "adding Salesforce Revenue Intelligence is often highly redundant and far less flexible" (Gemini 3.5 Flash, negative prompt, hard negative)
- "What to Avoid ... Requires Salesforce ecosystem" (Kimi K2, budget prompt, hard negative)
- "Users find the steep learning curve daunting, struggling with complex setups and mobile UX challenges... Users find the product expensive" (Muse Glimmer 30B, negative prompt, soft negative)
- "my default pick is:

1) Salesforce Revenue Intelligence if you already live in Salesforce" (GPT-5.4 mini, budget prompt, first choice)
- "Try Salesforce's native forecasting and pipeline tools first. Revenue Intelligence adds analytics and forecast features" (GPT-6 Luna, paraphrase prompt, alternative)
- "If you are a heavily customized Salesforce shop, keeping your data native inside Sales Cloud avoids security reviews" (Gemini 3.5 Flash, scale prompt, alternative)

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.