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At a Glance
Market Segments
Mid-Market (43.4% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
Free 1000 Conversations
Pay As You Go Per Month
Salesforce Agentforce
Star Rating
(829)4.3 out of 5
Market Segments
Mid-Market (43.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free 1000 Conversations
Browse all 3 pricing plansVertex AI
Star Rating
(592)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that Vertex AI excels in Workflow Automation with a score of 8.8, allowing users to create complex workflows easily, while Salesforce Agentforce, with a score of 8.3, offers solid automation features but lacks some of the advanced capabilities that Vertex AI provides.
- Users report that Vertex AI's Natural Language Configuration feature, scoring 8.5, is highly praised for its intuitive setup, enabling users to configure AI responses effectively. In contrast, Salesforce Agentforce, scoring 8.1, is noted for its basic natural language processing capabilities, which some users find less flexible.
- Reviewers mention that Salesforce Agentforce shines in CRM Data Integration, scoring 8.5, making it easier for mid-market businesses to connect their customer data seamlessly. Vertex AI, with a score of 7.5, is seen as less integrated, which can be a drawback for users needing robust CRM functionalities.
- Users on G2 highlight that Vertex AI has a strong focus on Proactive Response Capabilities, scoring 8.3, which helps businesses anticipate customer needs. However, Salesforce Agentforce, with a score of 8.0, is perceived as slightly less proactive, which may affect user engagement.
- G2 users report that Salesforce Agentforce offers better Ease of Admin with a score of 8.4, making it easier for teams to manage the platform. Vertex AI, scoring 8.0, is functional but may require more technical knowledge for effective administration.
- Users say that both platforms provide solid Ease of Use, each scoring 8.2, but Vertex AI is often highlighted for its user-friendly interface, while Salesforce Agentforce is noted for its straightforward navigation, appealing to different user preferences.
Pricing
Entry-Level Pricing
Salesforce Agentforce
Salesforce Foundations
Free
1000 Conversations
Add key features to your existing CRM, available for Enterprise Edition and above.
- 1k Agentforce conversations and leads
- 250k Data Cloud credits
- Sales, Service, Marketing, and Commerce tools
Vertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
Salesforce Agentforce
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
8.2
207
8.6
359
Ease of Use
8.1
654
8.2
368
Ease of Setup
7.9
624
8.1
291
Ease of Admin
8.3
128
7.9
141
Quality of Support
8.1
197
8.1
335
Has the product been a good partner in doing business?
8.5
128
8.2
135
Product Direction (% positive)
9.2
211
9.2
353
Features by Category
Deployment
Not enough data
8.3
73
Not enough data
8.1
74
Not enough data
8.3
74
Not enough data
8.3
70
Not enough data
8.8
70
Deployment
Not enough data
8.4
73
Not enough data
8.3
72
Not enough data
8.4
71
Not enough data
8.5
71
Not enough data
8.7
69
Management
Not enough data
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Operations
Not enough data
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Management
Not enough data
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
Not enough data
8.2
170
Model Development
Not enough data
8.4
202
Not enough data
7.9
179
Not enough data
8.4
200
Not enough data
8.5
202
Model Development
Not enough data
8.2
165
Machine/Deep Learning Services
Not enough data
8.2
200
Not enough data
8.4
196
Not enough data
8.2
195
Not enough data
8.2
178
Machine/Deep Learning Services
Not enough data
8.5
165
Not enough data
8.4
163
Deployment
Not enough data
8.2
193
Not enough data
8.3
194
Not enough data
8.5
193
Generative AI
Not enough data
8.3
102
Not enough data
8.2
102
Not enough data
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.8
34
Not enough data
7.7
34
Not enough data
7.8
34
Not enough data
8.4
34
Not enough data
7.8
34
Not enough data
7.9
34
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
8.3
28
Integration - Machine Learning
Not enough data
8.5
67
Learning - Machine Learning
Not enough data
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
8.9
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
21
Not enough data
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.0
21
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
8.1
153
8.5
27
7.9
151
7.6
27
8.2
150
8.3
26
Functionality - AI Agent Builders
8.0
148
8.1
27
7.9
149
7.3
27
8.0
146
8.2
26
7.9
146
7.2
27
Data and Analytics - AI Agent Builders
8.1
147
7.7
25
7.8
144
7.9
27
8.1
145
8.0
27
Integration - AI Agent Builders
8.2
145
8.7
27
8.1
75
8.0
27
8.1
140
8.0
27
8.5
141
7.5
27
Automation
8.5
16
Not enough data
8.7
17
Not enough data
8.6
16
Not enough data
8.8
17
Not enough data
8.6
17
Not enough data
Autonomy
8.6
17
Not enough data
8.9
17
Not enough data
8.8
17
Not enough data
8.5
17
Not enough data
Outbound Sales
8.8
17
Not enough data
9.3
17
Not enough data
9.1
17
Not enough data
8.9
17
Not enough data
9.0
17
Not enough data
Inbound Sales
8.8
17
Not enough data
9.1
17
Not enough data
8.7
17
Not enough data
8.7
17
Not enough data
8.6
17
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customer Query Resolution - AI Customer Support Agents
8.2
56
Not enough data
8.1
55
Not enough data
8.0
56
Not enough data
8.7
56
Not enough data
7.7
56
Not enough data
Customer Interaction Automation - AI Customer Support Agents
8.2
55
Not enough data
8.4
55
Not enough data
8.2
54
Not enough data
8.1
55
Not enough data
Automation
8.5
57
Not enough data
8.5
57
Not enough data
8.4
57
Not enough data
Autonomy
7.8
56
Not enough data
7.9
55
Not enough data
8.3
55
Not enough data
8.1
56
Not enough data
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Salesforce Agentforce and Vertex AI are categorized as AI Agent Builders
Unique Categories
Salesforce Agentforce is categorized as AI SDRs and AI Customer Support Agents
Reviews
Reviewers' Company Size
Salesforce Agentforce
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
11.1%
Financial Services
10.4%
Consulting
6.5%
Computer Software
6.5%
Hospital & Health Care
4.7%
Other
60.7%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
Alternatives
Discussions
Salesforce Agentforce has no discussions with answers
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