GTM AI Index
Index Vendors › Salesforce Agentforce · September 2026 Edition
Salesforce · 3 categories · Ranked

Salesforce Agentforce

57Judge labels
3First choices
14Negative labels
12 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
7% in AI SDR for enterprise buyers
Rank 30 of 106 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 17% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In support chatbots · 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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Chatbots and conversational AI for supportCustomer0%30 of 10617%6under 10 labels · led by Intercom at 35%
AI SDR agentsSales0%37 of 7120%5under 10 labels · led by Apollo.io at 20%
Sales enablement and contentSales0%69 of 810%1under 10 labels · led by Dock at 19%

Movement

This is the first edition on this tier, so no move can be computed for Salesforce Agentforce yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Salesforce Agentforce across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00011
DeepSeek V4 Flash01001
Llama 4 Maverick00101
Qwen 3.7 Flash00101
Kimi K201012
GLM 4.7 FlashX01001
MiniMax M2.502002

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
Direct8 labels1
Paraphrase3 labelsNone
Comparative28 labels2not counted in share
Budget-constrained8 labels2
Scale-constrained1 labelNone
Negative9 labelsNone
First choiceAlternativeMentionNegative57 labels in all, every segment counted; 3 of the 5 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.

“Choose Salesforce Agentforce if you're in an enterprise Salesforce environment and want native integration” GLM 4.7 FlashX · AI SDR · comparative prompt · alternative
“Already on Salesforce CRM | Salesforce Agentforce (despite higher cost)” Kimi K2 · Support chatbots · paraphrase prompt · alternative
“Already in Salesforce ecosystem | Agentforce” DeepSeek V4 Flash · Support chatbots · comparative prompt · alternative
“Salesforce-heavy enterprise: Agentforce” MiniMax M2.5 · Support chatbots · comparative 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.

“Most expensive option; requires Salesforce admin and $50K-$150K implementation” Kimi K2 · Support chatbots · comparative prompt · soft negative
“Salesforce Agentforce - Native integration doesn't guarantee compliance” Mistral Small · AI SDR · negative prompt · soft negative

Named alongside

The products named in the same answers as Salesforce Agentforce, over the 57 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Agentforce was named but was not.
ProductSame answerTook the first choice insteadHead to head
Intercom36 of 5712Not in the top three
Ada24 of 572Not in the top three
11x19 of 573Not in the top three
Kore.ai18 of 571Not in the top three
Artisan17 of 572Not in the top three
Tidio15 of 574Not in the top three
Zendesk AI15 of 573Not in the top three
Gorgias12 of 570Not in the top three
AiSDR11 of 572Not in the top three
Regie.ai10 of 570Not in the top three
A head-to-head page exists where both products are in a category's top three. 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. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 13 of the 57 answers that named Salesforce Agentforce and are not a share of its labels.

Domains cited

fin.ai6
amplemarket.com4
g2.com4
getbreakout.ai4
lindy.ai4
zendesk.com4
artisan.co3
botpress.com3
getvoip.com3
intercom.com3

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

Pages cited

Pages are listed as the models cited them.

The company

Salesforce is the company behind Salesforce Agentforce.
Website
salesforce.com
Headquarters
San Francisco, United States
Founded
1999
Employees
about 35,000 (2019)
Ownership
Public, CRM on New York Stock Exchange

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

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at salesforceagentforce.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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