How do Salesforce Agentforce (formerly Einstein) and Termo compare in monthly traffic?

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Termo has 4,136. Traffic estimates describe audience size, not product quality.

How do their growth rates compare?

Salesforce Agentforce (formerly Einstein) has a month-over-month growth rate of +2.2%; Termo has -49%.

How does pricing compare?

Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month. Termo: Freemium. Freemium with published monthly tiers. Free: $0 with a small renewable usage allowance, 1 agent, 1 concurrent run and 1 daily schedule. Pro: $19.99/month with 1× usage, 3 agents, 2 concurrent runs, 5 schedules and browser tools. Premium: $49.99/month with 2.5× Pro usage, 5 agents, 3 concurrent runs and 15 schedules. Business: $99.99/month with 5× Pro usage, 10 agents, 5 concurrent runs and 50 schedules. All plans include memory, tools, Telegram, custom subdomains and file management; usage is shared across agents and schedules may use up to 50% of an allowance.

Open AI Tools

Salesforce Agentforce (formerly Einstein) vs Termo — Traffic (111.91M vs 4.14K), Pricing & Verdict | Open AI Tools

Head-to-Head Benchmark

Salesforce Agentforce (formerly Einstein) vs Termo

Q: What are alternatives to Salesforce Agentforce (formerly Einstein) and Termo?

Other tools in related categories include Muse, Manus, Replit, Zapier, Intercom.

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Termo records 4,136 monthly visits with -49% growth and Freemium pricing.

Salesforce Agentforce (formerly Einstein)FreemiumTraffic Leader

Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.

Monthly Visits

111.91M

MoM Velocity

+2.2%

Top Market

🇺🇸 United States

View Salesforce Agentforce (formerly Einstein) Analysis salesforce.com

TermoFreemium

AI agents with their own computers, memory and schedules

Monthly Visits

4.14K

MoM Velocity

-49%

Top Market

🇺🇸 United States

View Termo Analysis termo.ai

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Salesforce Agentforce (formerly Einstein)	Termo
Official Domain	salesforce.com	termo.ai
Pricing Model	Freemium	Freemium
Monthly Visits	111.91M (111,910,743)	4.14K (4,136)
MoM Traffic Delta

Primary Market & Share	🇺🇸 United States (43%)	🇺🇸 United States (97.1%)

Direct Visits / mo	60.74M	1.63K

User Rating	4.4	4.2

Supported Platforms	Website	Website

Salesforce Agentforce (formerly Einstein)

Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.

Atlas Reasoning Engine & Long-Horizon Runtime

Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.

Low-Code Agent Builder & Agent Script

Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.

Multi-Agent Orchestration & MCP Interoperability

Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.

Agentforce Voice & Omnichannel Deployment

Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.

Strengths & Pros

+Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.
+Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.
+Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.
+Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

Limitations

–Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.
–Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.
–Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.

Termo

AI agents with their own computers, memory and schedules

On-demand skills and real execution

Agents run shell commands, scrape pages, call APIs and use packages, installing new skills from a repository of more than 10,000 as tasks demand.

Semantic memory that compounds

Every conversation and finding is stored in a semantic memory graph spanning identity, preferences, facts, projects and skills, so agents build expertise over time instead of restarting each session.

Plain-language scheduled automation

Describe a cadence in chat and the agent saves the context, registers the autonomous run and executes on schedule — daily, weekly, or to a cron-style pattern — even while you are offline.

Multi-agent orchestration

One agent can orchestrate others: it spawns sub-agents, delegates research and writing in parallel, then merges the results into a single deliverable.

Strengths & Pros

+Free tier is genuinely usable for a first agent rather than a demo
+Persistent typed memory makes long-running tasks far more useful than a stateless chatbot
+Scheduled runs plus real code execution means the agent can work unsupervised
+Sub-agent delegation handles multi-step research and drafting in one prompt