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Revenue intelligence and forecasting · October 2026 Edition

Gong vs Salesforce Revenue Intelligence

Three of fourteen models named Gong first on the direct prompt; zero named Salesforce Revenue Intelligence. Gong was named by fourteen of the fourteen models and Salesforce Revenue Intelligence by twelve and Gong carries 63 labels and Salesforce Revenue Intelligence 21, so the shares are not directly comparable.

Gong

criticized challenger

By Gong.io, Ramat Gan, Israel, founded 2015. Named in fourteen categories this edition.

Salesforce Revenue Intelligence

criticized challenger

By Salesforce, San Francisco, United States, founded 1999. Named in two categories this edition.

First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate35%29%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 14; printed, not drawn.
Labels6321A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Gong reading right to left. Rank and label count are printed, not drawn.Clari Copilot was named alongside these two in ten of the fourteen direct answers. Clari Copilot vs Gong · Clari Copilot vs Salesforce Revenue Intelligence · HubSpot Sales Hub vs Gong

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 revenue intelligence and forecasting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
GongFirst choices, of fourteen modelsSalesforce Revenue Intelligence
Direct304 against Gong
Paraphrase101 against Gong
Comparative110
Budget-constrained016 against Gong · 1 against Salesforce Revenue Intelligence
Scale-constrained20
Negative0011 against Gong · 5 against Salesforce Revenue Intelligence
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Gong and Salesforce Revenue Intelligence stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Gong Salesforce Revenue Intelligence first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gong on the left and Salesforce Revenue Intelligence on the right.

The direct prompt

The plain question, one answer per model, grouped by where Gong and Salesforce Revenue Intelligence stood in it.

Gong first, Salesforce Revenue Intelligence an alternative

3 of 14 modelsSalesforce Revenue Intelligence was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashGong alternatives: Ebsta, HubSpot Sales Hub, Terret
MiniMax M2.5Clari Copilot, Gong alternatives: HubSpot Sales Hub, Revenue Grid
GPT-6 LunaGong alternatives: HubSpot Sales Hub, Salesforce Revenue Intelligence, Salesloft with Clari Forecast

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.
GPT-5.4 miniClari Copilot alternatives: Aviso, Gong
Perplexity SonarClari Copilot alternatives: Avoma, Revenue.io, Salesforce Revenue Intelligence
Mistral SmallClari Copilot alternatives: Demandbase, Gong, HubSpot Sales Hub
DeepSeek V4 FlashTerret alternatives: Avoma, Clari Copilot, Gong, Salesforce Revenue Intelligence
Kimi K2Avoma alternatives: Clari Copilot, Gong
GLM 4.7 FlashXClari Copilot alternatives: Gong, HubSpot Sales Hub, ZoomInfo GTM Workspace
Muse Glimmer 30BRevenue Grid alternatives: Clari Copilot, HubSpot Sales Hub, Salesforce Revenue Intelligence

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Terret alternatives: Aviso, Avoma, HubSpot Sales Hub
Grok 4.1 FastRevenue Grid alternatives: Clari Copilot, HubSpot Sales Hub
Llama 4 Maverickno first choice
Qwen 3.7 FlashBoostUp alternatives: Clari Copilot

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
Gong leads by two points.
Gong2%#9 of 13
Salesforce Revenue Intelligence0%#13 of 13
The full small business standing →
Mid-marketThe figures above
Gong leads by ten points.
Gong12%#3 of 14
Salesforce Revenue Intelligence2%#8 of 14
The full mid-market standing →
Enterprise
The order flips: Salesforce Revenue Intelligence leads at enterprise.
Salesforce Revenue Intelligence8%#2 of 10
Gong2%#4 of 10
The full enterprise standing →

What the models said about Gong

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“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

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“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
Also compared

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.