# Salesforce Maps: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 24 judge labels across 3 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/salesforce-maps/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Territory and quota planning | 0% | 23 | 23% | 22 |
| Lead routing and management | 0% | 94 | 100% | 1 |
| Retail, proximity and IoT marketing | 0% | 103 | 0% | 1 |

## What the models said for it

- "frictionless integration with no data migration needed for existing Salesforce users" (Claude Haiku 4.5, Territory planning)
- "Best for Geographic & Field Sales Teams: Salesforce Maps & Sales Planning" (Gemini 3.5 Flash, Territory planning)
- "Salesforce Maps/Planning for seamless CRM integration without new tools." (Grok 4.1 Fast, Territory planning)
- "Native Salesforce with minimal new vendors | Salesforce Maps" (Kimi K2, Territory planning)

## And against it

- "$75/user/month, pricey as an add-on." (DeepSeek V4 Flash, Territory planning)
- "Be cautious of purchasing massive, full-suite Revenue Operations platforms ... Salesforce Maps Enterprise" (Qwen 3.7 Flash, Territory planning)
- "Weak for true weighted-capacity math (ramp %, attrition modeling); heavier setup and Salesforce-bound." (DeepSeek V4 Flash, Territory planning)
- "CRM-native (Salesforce) is simplest for basic use but lacks deep capacity modeling." (Grok 4.1 Fast, Territory planning)

## The company

Salesforce; https://www.salesforce.com; San Francisco, United States; founded 1999; about 35,000 employees (2019); public, CRM on New York Stock Exchange. From Wikidata, fetched 2026-09-14.

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.