GTM AI Index

Index › Products › Salesforce Agentforce Voice · October 2026 Edition

Salesforce · 1 category · Named, not ranked

Salesforce Agentforce Voice

8Judge labels

0First choices

0Negative labels

6 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Salesforce Agentforce Voice was named 3 times in AI voice agents, where Retell AI led with 27%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market28 of 103

under the label threshold

Enterprise24 of 105

under the label threshold

In ai voice agents · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Salesforce Agentforce Voice for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
AI voice agents	Customer	0%	28 of 103	0%	3	under 10 labels · led by Retell AI at 27%

Movement

This is the first edition on this tier, so no move can be computed for Salesforce Agentforce Voice yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Salesforce Agentforce Voice across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	1	0	1
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	1	0	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	1	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase2 labelsNone

Comparative4 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative8 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Best when native Salesforce data, workflows, and service/sales execution matter most.” Perplexity Sonar · AI voice agents · direct prompt · alternative

“If you run on Salesforce CRM: Agentforce Voice is the cleanest choice” GPT-5.4 mini · AI voice agents · paraphrase prompt · alternative

And against it

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.

No model argued against it.

Named alongside

The products named in the same answers as Salesforce Agentforce Voice, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Agentforce Voice was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Retell AI7 of 82Not among the top eight

Vapi5 of 80Not among the top eight

PolyAI4 of 81Not among the top eight

Parloa4 of 80Not among the top eight

Bland AI3 of 80Not among the top eight

Cognigy3 of 80Not among the top eight

Synthflow3 of 80Not among the top eight

Sierra2 of 81Not among the top eight

Deepgram Voice Agent API2 of 80Not among the top eight

Kore.ai2 of 80Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Salesforce Agentforce Voice. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 8 of the 8 answers that named Salesforce Agentforce Voice and are not a share of its labels.

Domains cited

retellai.com7

salesforce.comYour site6

synthflow.ai5

cloudtalk.io4

rasa.com4

digitalapplied.com3

aloware.com2

assembled.com2

assemblyai.com2

brilo.ai2

Thirty-one of the thirty-seven domain citations in answers naming Salesforce Agentforce Voice came from somebody else's page.

Pages cited

cloudtalk.io/blog/best-ai-voice-agents-for-customer-support-and-service4

retellai.com/blog/best-voice-ai-providers4

rasa.com/blog/best-ai-voice-agents3

retellai.com/blog/best-ai-voice-agent-services-businesses3

aloware.com/blog/best-ai-voice-agents-complete-guide-for-smbs2

assembled.com/blog/ai-voice-agents-customer-support2

assemblyai.com/blog/best-platforms-enterprise-voice-agents2

brilo.ai/resources/best-ai-voice-agents2

Pages are listed as the models cited them.

Names read as Salesforce Agentforce Voice

What the judge wrote, as written, with how often. The vendor table decides that these count as Salesforce Agentforce Voice; a claim can dispute any of them.

Salesforce 1Salesforce Agentforce 1

Follow Salesforce Agentforce Voice

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.

The company

Salesforce is the company behind Salesforce Agentforce Voice.

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On record

Wikidata

Website: salesforce.com
Headquarters: San Francisco, United States
Founded: 1999
Employees: about 35,000 (2019)
Ownership: Public, CRM on New York Stock Exchange
Also from Salesforce: Salesforce / Marketing Cloud Next / Agentforce Marketing, Salesforce Agentforce, Salesforce Agentforce / Einstein, Salesforce Agentforce Engagement, Salesforce Agentforce Marketing, Salesforce Agentforce SDR, Salesforce Agentforce for Marketing Cloud, Salesforce Analytics Cloud and 92 more

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

Is this your product?

Claim this page

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 Agentforce Voice'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 Agentforce Voice, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Salesforce Agentforce Voice by email, built from the raw record of the edition. It shows:

where Salesforce Agentforce Voice is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Salesforce Agentforce Voice, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.