# Manuel vs Salesforce Agentforce (formerly Einstein)

Manuel records 1,270 monthly visits with +32.2% month-over-month growth and Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Manuel](https://openaitools.app/tool/manuel) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://manuel.chat | https://www.salesforce.com/agentforce/ |
| Categories | AI Knowledge Management, AI Knowledge Base, AI Chatbot, AI Assistant | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 1,270 | 111,910,743 |
| MoM Growth Rate | +32.2% | +2.2% |
| Primary Market | Netherlands | United States |
| Direct Visits | 549 | 60,741,009 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Manuel

Manuel targets a specific, high-friction problem: technicians standing in front of a boiler or heat pump, trying to remember which fault code means what, while the answer sits in a PDF somewhere, a manufacturer portal, or the head of an experienced colleague who is already on the phone. The product aggregates roughly 25,000 manuals across more than 85 brands — fault codes, parameters, wiring diagrams, parts and commissioning procedures — and layers a company's own institutional knowledge on top: past work orders, internal instructions, WhatsApp tips and answers that senior engineers have given before.

The result is a single technical knowledge layer that serves two audiences. In the field, technicians ask Manuel with voice or text or scan a type plate, and receive a practical answer accompanied by the source document and page number, so they can verify it themselves. At the service desk, the same verified answers allow staff to diagnose faults before dispatching a van, walk a customer through a reset, or brief a technician with the fault, the part and the steps.

Manuel is aimed at reducing repeat visits and idle searching time. The vendor frames the benefit as recovering hundreds of service hours a year per team by shortening the loop between a fault and a first-time fix. Documentation and interface are currently strongest in Dutch, with an English option, and pricing is handled through a sales conversation rather than a self-serve checkout.

**Pricing & Plans:** Manuel does not publish a self-serve price list. Pricing is arranged through a conversation with the team — the site offers a "Plan een kennismaking" (schedule an introduction) call rather than online checkout, which typically indicates per-company or per-seat enterprise quotes.

- **Brand and appliance knowledge base:** Answers drawn from roughly 25,000 manuals spanning more than 85 brands, covering boilers, heat pumps, air conditioning, ventilation, charging points, solar panels and inverters.
- **Fault codes, parameters and parts:** Look up error codes, check parameter and settings values, and identify the exact part number needed, instead of digging through portal PDFs.
- **Answers with source and page:** Every response carries the original technical source and page reference, so technicians can verify the advice before acting on it.
- **Your own company knowledge layer:** Manuel indexes past work orders, internal documents, technician tips and previously solved faults alongside manufacturer data.
- **Field app plus service desk view:** Technicians use an iPhone or Android app on the job — voice, text or type-plate scan — while back-office staff work from a shared knowledge base view.

**Strengths:** Answers always cite the original source and page, which builds trust with sceptical technicians; Combines OEM documentation with a company's own work orders and internal knowledge rather than only public manuals; Voice input and type-plate scanning fit how technicians actually work with dirty hands and limited time; Supports the whole loop — on-site diagnosis and phone-based service desk troubleshooting — from one knowledge layer

**Limitations:** No public pricing; you must book a call to learn what it costs; Content and interface are primarily Dutch, which limits usefulness for non-Dutch-speaking teams; Value depends heavily on how much internal documentation and work-order history you can feed it

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

## 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)

## Frequently Asked Questions

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

Manuel has 1,270 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Manuel has a month-over-month growth rate of +32.2%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Manuel: Contact for Pricing. Manuel does not publish a self-serve price list. Pricing is arranged through a conversation with the team — the site offers a "Plan een kennismaking" (schedule an introduction) call rather than online checkout, which typically indicates per-company or per-seat enterprise quotes. 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.

## 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 | [Intercom](https://openaitools.app/tool/intercom-help) | 2,764,543 | -5.8% | Free Trial, Paid | AI-first customer service platform with a native AI agent for every conversation | [.md](https://openaitools.app/tool/intercom-help.md) |
| 4 | [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) |
| 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 | [Chaport](https://openaitools.app/tool/chaport-com) | 1,458,924 | +130.1% | Freemium | All-in-one customer messaging for live chat, chatbots, and self-service | [.md](https://openaitools.app/tool/chaport-com.md) |
| 8 | [Helpjuice](https://openaitools.app/tool/helpjuice) | 585,623 | +17.3% | Free Trial, Contact for Pricing | AI-powered knowledge base that turns documents into fast answers | [.md](https://openaitools.app/tool/helpjuice.md) |
| 9 | [eesel AI](https://openaitools.app/tool/eesel-ai) | 556,113 | +5.7% | Freemium, Free Trial, Paid, Contact for Pricing | Autonomous AI agents for customer service, content and operations | [.md](https://openaitools.app/tool/eesel-ai.md) |
| 10 | [DocsBot AI](https://openaitools.app/tool/docsbot-ai) | 495,278 | -3.8% | Freemium | Custom AI agents trained on your documentation and knowledge base | [.md](https://openaitools.app/tool/docsbot-ai.md) |

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

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