Small business▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 15 → 21 of 94
Salesforce · 2 categories · RankedSalesforce Maps
122Judge labels
11First choices
41Negative labels
14 / 14Models named it
2Categories
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
16% in Field sales for enterprise buyers
Rank 39 of 123 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 37% of its 27 labels there were negative.
What the models named instead of Salesforce Maps →By buyer segmentRead the same way at every buyer size.
Small business22 of 103
0%21 labels
criticized challenger
Mid-market39 of 123
0%27 labels
criticized challenger
Enterprise8 of 92
3%18 labels
criticized challenger
In territory planning · 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 Maps 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 |
|---|---|---|---|---|---|---|---|
| Territory and quota planning | Revenue operations | 0% | 39 of 123 | 37% | 27 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Field sales tools | Sales | 0% | 30 of 94 | 37% | 19 | criticized challenger |
Movement
Since September 2026, Salesforce Maps held within the floor in all two categories: no change cleared 11 points.
Best category · Territory planning · 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 22 → 46 of 116
Enterprise▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 9 → 7 of 83
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Territory planning | 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 22 → 39 of 123 |
| Field sales | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 30 of 94, 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
By model
How each model treated Salesforce Maps 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 Maps 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 | 2 | 0 | 1 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 2 | 5 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 2 | 2 | 5 |
| Mistral Small | 0 | 2 | 1 | 1 | 4 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 4 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 0 | 2 | 1 | 2 | 5 |
| Kimi K2 | 0 | 0 | 3 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-6 Luna | 0 | 4 | 1 | 2 | 7 |
| 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
Direct15 labels1
Paraphrase17 labels6
Comparative26 labelsNone
Budget-constrained20 labels2
Scale-constrained19 labels2
Negative25 labels1not counted in share
First choiceAlternativeMentionNegative122 labels in all, every segment counted; 11 of the 12 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 need a highly configurable CRM and want mapping, route planning, and territory tools within the Salesforce ecosystem” GPT-6 Luna · Field sales · direct prompt · alternative
“Organizations deeply invested in Salesforce benefit most from Salesforce Maps due to zero-latency data syncing” Qwen 3.7 Flash · Territory planning · comparative prompt · alternative
“Choose Salesforce Sales Planning if keeping planning close to Salesforce data and workflows is the priority.” GPT-6 Luna · Territory planning · comparative prompt · alternative
“CRM-Native Add-ons (e.g., Salesforce Maps): Best if your company is deeply embedded in Salesforce” Gemini 3.5 Flash · Field sales · scale 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.
“$225+/month, best left to larger orgs already on Salesforce” DeepSeek V4 Flash · Field sales · budget prompt · hard negative
“Salesforce Maps (standalone mobile app) — *Avoid*” DeepSeek V4 Flash · Field sales · negative prompt · hard negative
“Very expensive per user.” DeepSeek V4 Flash · Territory planning · budget prompt · hard negative
“it is often considered too expensive (starting at $75/user/month on top of basic CRM licensing) and overly complex to implement for mid-market teams” Gemini 3.5 Flash · Field sales · direct prompt · soft negative
Named alongside
The products named in the same answers as Salesforce Maps, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Maps was named but was not.ShowHide
Named alongside
The products named in the same answers as Salesforce Maps, over the 122 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesforce Maps 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 Maps. 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 119 of the 122 answers that named Salesforce Maps and are not a share of its labels.
Domains cited
guideflow.com66
spotio.com62
captivateiq.com53
pipeline.zoominfo.com45
pipelinecrm.com36
prospeo.io34
g2.com31
gitnux.org31
mapmycustomers.com28
badgermapping.com26
412 of the 412 domain citations in answers naming Salesforce Maps came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Salesforce Maps stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Salesforce Maps stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 880 a month (“salesforce maps”)
- AI search demand for its name, est.
- 95 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 39 of 123 in territory planning
Segment leader
36%
CaptivateIQ Planning
- First choices
- 11 across its categories
- Named in
- 122 answers
- Its own site cited
- in 119 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 Maps
What the judge wrote, as written, with how often. The vendor table decides that these count as Salesforce Maps; a claim can dispute any of them.
Salesforce 7Salesforce Sales Cloud + Salesforce Maps 2Salesforce (with Territory Management add-ons) 1Salesforce + Apex Maps 1Salesforce Essentials 1Salesforce Maps (formerly MapAnything) 1Salesforce Maps (standalone mobile app) 1Salesforce Maps (with Sales Planning) 1Salesforce Maps + CPQ 1Salesforce Maps + Sales Planning 1Salesforce Maps / Agentforce Sales 1Salesforce Maps / Territory Planning 1Salesforce Maps Territory Planning 1Salesforce Maps and Sales Planning 1Salesforce Maps/Geopointe 1Salesforce Maps/Sales Planning 1Salesforce Sales Planning / Salesforce Maps 1
Follow Salesforce Maps
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 Maps.ShowHide
The company
Salesforce is the company behind Salesforce Maps.
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 SDR, Salesforce Agentforce Voice, Salesforce Agentforce for Marketing 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 Maps'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 Maps, 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 Maps by email, built from the raw record of the edition. It shows:
- where Salesforce Maps 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 Maps, 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.