# Salesforce Agentforce (formerly Einstein) vs Spear

Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% month-over-month growth and Freemium pricing. Spear records 11,524 monthly visits with -12.7% growth and Paid, Contact for Pricing pricing.

| Metric | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | [Spear](https://openaitools.app/tool/spear) |
| :--- | :--- | :--- |
| Website URL | https://www.salesforce.com/agentforce/ | https://www.getspear.ai |
| Categories | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code | AI Sales, AI Lead Generation, AI Marketing |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 111,910,743 | 11,524 |
| MoM Growth Rate | +2.2% | -12.7% |
| Primary Market | United States | United States |
| Direct Visits | 60,741,009 | 4,596 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 20 | 0 |
| Supported Platforms | Website | Website |

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** 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.

- **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.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** 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.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## Spear

Spear is built for teams that believe more outbound is not the answer. Instead of blasting volume from junior reps and bots, it waits for a real buying signal — a LinkedIn post, a funding round, a conference talk, a GitHub commit or a Reddit thread — and then delivers a short, contextual message from the profile of one of your executives. The bet is that senior buyers respond to credibility and timing far more than to scale.

The workflow is deliberately human-in-the-loop. You define your ICP, choose which triggers matter, review the prospects Spear surfaces, and approve each piece of outreach before it goes out. Spear handles the monitoring, sequencing and follow-through across LinkedIn, email, X and Reddit, and it can also de-anonymize companies visiting your website so warm intent becomes a conversation.

Spear is headquartered in Tel Aviv and sold on a per-profile model. The entry Starter tier is self-serve with a 14-day free trial, while Growth and Enterprise add a dedicated Spear GTM engineer who builds your outbound engine alongside your team. It publishes comparison pages against tools like Clay, Apollo, HeyReach and Expandi, positioning itself as the signal-and-credibility layer rather than a pure data or sequencing tool.

**Pricing & Plans:** Starter is $500 per profile per month ($400/month billed yearly) with a 14-day free trial and a strategy session; Growth is a one-time 4, 6 or 12-month project with a dedicated GTM team, quoted on demo; Enterprise is custom for 10+ profiles. All plans are all-in with no credits.

- **Trigger monitoring across channels:** Spear continuously watches LinkedIn, Reddit, GitHub, YouTube, X, podcasts and 10-K reports and acts only when a real buying signal appears, so you never send without a reason.
- **Executive-led, human messaging:** Messages are sent from your executives' own profiles with contextual, per-segment copy, so outreach carries the credibility of a senior peer rather than a bot.
- **Multichannel sequences with approvals:** Run multichannel sequences on LinkedIn, email, X and Reddit, with profile actions like connect, view, like and follow — all gated behind your approval.
- **Website visitor de-anonymization:** Identify anonymous companies visiting your site and turn that interest into outreach while intent is still warm.
- **Analytics, CRM and MCP integrations:** Every campaign metric is visible in one dashboard, connects to your CRM, Claude and any MCP, and the platform learns from what works to sharpen targeting, messaging and timing.

**Strengths:** Signal-triggered outreach means messages arrive when prospects actually show intent; Executive-led sending gives outbound the credibility senior buyers respond to; Human-in-the-loop approvals keep you in control of every message; Covers LinkedIn, email, X and Reddit plus website visitor de-anonymization

**Limitations:** Profile-based pricing adds up quickly; each active executive seat costs $500/month on the entry tier; Growth and Enterprise require a sales conversation, so no instant self-serve onboarding; Value depends on finding genuinely relevant triggers, which takes ICP tuning; No meeting guarantees — results rest on execution and reply quality

[Profile (Markdown)](https://openaitools.app/tool/spear.md)

## Frequently Asked Questions

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

Salesforce Agentforce (formerly Einstein) has 111,910,743 monthly visits, while Spear has 11,524. 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%; Spear has -12.7%.

### 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. Spear: Paid, Contact for Pricing. Starter is $500 per profile per month ($400/month billed yearly) with a 14-day free trial and a strategy session; Growth is a one-time 4, 6 or 12-month project with a dedicated GTM team, quoted on demo; Enterprise is custom for 10+ profiles. All plans are all-in with no credits.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 3 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 4 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 5 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 6 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 7 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 8 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 9 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 10 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Delivers exceptionally polished customer service agents, but focuses on bespoke conversational AI rather than broad CRM workflows. | [.md](https://openaitools.app/tool/sierra.md) |

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Source: https://openaitools.app/compare/salesforce-einstein-vs-spear

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