Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 61 of 66, unchanged
Salesforce · 1 category · RankedSalesforce Agentforce SDR
25Judge labels
1First choices
5Negative labels
13 / 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.
Best standing
2% in AI SDR for enterprise buyers
Rank 21 of 77 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 6 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business70 of 74
0%2 labels
under the label threshold
Mid-market21 of 77
0%6 labels
under the label threshold
Enterprise10 of 77
2%17 labels
accepted challenger
In ai sdr · 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 SDR 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 SDR agents | Sales | 0% | 21 of 77 | 0% | 6 | under 10 labels · led by Apollo.io at 24% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Salesforce Agentforce SDR held within the floor in its one category: no change cleared 11 points.
Best category · AI SDR · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 24 → 19 of 70
Enterprise▼−13Since September 2026: 15% → 2%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.
2%from 15% in September 2026
Cleared the floor by 2 pointsRank 1 → 10 of 69
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI SDR | 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 24 → 21 of 77 |
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
By model
How each model treated Salesforce Agentforce SDR across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Salesforce Agentforce SDR across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 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
Direct5 labelsNone
Paraphrase2 labels1
Comparative13 labels3not counted in share
Budget-constrained2 labelsNone
Scale-constrained2 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 1 of the 4 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.
“If you want enterprise CRM-native automation inside Salesforce, look at Salesforce Agentforce” GPT-5.4 mini · AI SDR · direct prompt · alternative
“If you already live in Salesforce ... Salesforce Agentforce may be a better fit” GPT-5.4 mini · AI SDR · paraphrase prompt · alternative
“Salesforce Agentforce | If deeply embedded in Salesforce ecosystem” Kimi K2 · AI SDR · scale prompt · alternative
“Enterprise-grade, deeply integrated with Salesforce CRM.” Grok 4.20 · AI SDR · 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.
No model argued against it.
Named alongside
The products named in the same answers as Salesforce Agentforce SDR, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Agentforce SDR was named but was not.ShowHide
Named alongside
The products named in the same answers as Salesforce Agentforce SDR, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Agentforce SDR was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 SDR. 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 25 of the 25 answers that named Salesforce Agentforce SDR and are not a share of its labels.
Domains cited
artisan.co18
salesforge.ai16
pipeline.zoominfo.com11
11x.ai9
amplemarket.com9
g2.com8
getvoip.com8
landbase.com8
salesforce.comYour site7
lyzr.ai6
Ninety-three of the 100 domain citations in answers naming Salesforce Agentforce SDR came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Salesforce Agentforce SDR stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Salesforce Agentforce SDR stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 40 a month (“salesforce agentforce sdr”)
- AI search demand for its name, est.
- 0 a month
- Its own site
- It sits on Salesforce's site (salesforce.com), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 21 of 77 in AI SDR
Segment leader
24%
Apollo.io
- First choices
- 1 across its categories
- Named in
- 25 answers
- Its own site cited
- in 25 of the answers that named it
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.
Names read as Salesforce Agentforce SDR
What the judge wrote, as written, with how often. The vendor table decides that these count as Salesforce Agentforce SDR; a claim can dispute any of them.
Salesforce Agentforce 3Agentforce SDR 1
Follow Salesforce Agentforce SDR
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 SDR.ShowHide
The company
Salesforce is the company behind Salesforce Agentforce SDR.
ShowHideOn 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 Voice, 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
In its own words
Stated by the vendor, not checked- Positioning
- Salesforce’s platform for building agents that go beyond simple chat interactions
- For
- organizations
- Free plan or trial
- a completely free environment to prototype agents and explore the power of Data 360 salesforce.com/agentforce/dev-tools
- Customers named
- help.salesforce.comConagra BrandsEquitable TrustDatasiteMakana Medical Devices
- Not stated on the pages read
- Price, starting price, integrations, certifications, hosting
What Salesforce Agentforce SDR's own pages state, read October 5, 2026: engineering.salesforce.com/agentforces-agent-graph-toward-guided-determinism-with-hybrid-reasoning, salesforce.com/agentforce/guide, salesforce.com/agentforce/dev-tools, engineering.salesforce.com/tagged/salesforce-development, salesforce.com/agentforce/agentforce-implementation-guides. A claimed page can correct any of them.
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 SDR'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 SDR, 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 SDR by email, built from the raw record of the edition. It shows:
- where Salesforce Agentforce SDR 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 SDR, 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.