| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer support and helpdesk | Customer | 0% | 46 of 55 | 43% | 28 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Chatbots and conversational AI for support | Customer | 0% | 25 of 114 | 0% | 6 | under 10 labels · led by Intercom Fin AI Agent at 41% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Contact center quality assurance | Customer | 0% | 24 of 81 | 17% | 6 | under 10 labels · led by EvaluAgent at 28% | |
| Customer success platforms | Customer | 0% | 49 of 49 | 100% | 5 | under 10 labels · led by ChurnZero at 42% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Contact center platforms | Customer | 0% | 26 of 86 | 0% | 4 | under 10 labels · led by Five9 at 18% | |
| AI marketing agents | Marketing | 0% | 64 of 157 | 0% | 2 | under 10 labels · led by HubSpot Breeze at 24% | |
| Revenue intelligence and forecasting | Sales | 0% | 33 of 76 | 0% | 2 | under 10 labels · led by Clari Copilot at 28% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Helpdesk | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 58 → 46 of 55 |
| Support chatbots | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 77 → 25 of 114 |
| Contact center QA | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 24 of 81, unchanged |
| Customer success | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 67 → 49 of 49 |
| Contact center | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 26 of 86, unchanged |
| AI marketing agents | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 64 of 157, unchanged |
| Revenue intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 33 of 76, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 0 | 7 | 1 | 0 | 8 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 4 | 7 |
| Perplexity Sonar | 1 | 0 | 1 | 1 | 3 |
| Grok 4.1 Fast | 0 | 2 | 2 | 0 | 4 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 3 | 6 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 2 | 3 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-6 Luna | 0 | 3 | 1 | 4 | 8 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“choose Salesforce users → Agentforce” Perplexity Sonar · Contact center QA · comparative prompt · first choice
“This is the heavyweight option for enterprise service operations... The trade-off is implementation complexity and admin overhead.” GPT-5.4 mini · Helpdesk · comparative prompt · alternative
“If you are a heavily customized Salesforce shop, keeping your data native inside Sales Cloud avoids security reviews” Gemini 3.5 Flash · Revenue intel · scale prompt · alternative
“Choose Salesforce Service Cloud / Agentforce if your company is already deeply invested in Salesforce CRM” GPT-5.4 mini · Support chatbots · paraphrase prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid Salesforce Service Cloud unless you are a massive enterprise with a dedicated, in-house Salesforce development team.” Gemini 3.5 Flash · Helpdesk · negative prompt · hard negative
“avoid tools that are overly complex, expensive for the value... especially Zendesk, Salesforce Service Cloud” Perplexity Sonar · Helpdesk · negative prompt · hard negative
“its native customer success capabilities are limited... can be expensive and require significant customization” Mistral Small · Customer success · negative prompt · hard negative
“Avoid these unless you are a massive enterprise with a dedicated IT team.” Qwen 3.7 Flash · Helpdesk · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 199 of the 212 answers that named Salesforce Service Cloud and are not a share of its labels.
493 of the 530 domain citations in answers naming Salesforce Service Cloud came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What Salesforce Service Cloud's own pages state, read September 28, 2026: salesforce.com/service/cloud, salesforce.com/contents/service-cloud-vip-event, salesforce.com/contents/service-cloud-ibm-bluewolf, salesforce.com/service/cloud/guide, salesforce.com/br/form/service-cloud. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Salesforce Service Cloud's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Salesforce Service Cloud, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Salesforce Service Cloud by email, built from the raw record of the edition. It shows: