# Quicklisting vs Salesforce Agentforce (formerly Einstein)

Quicklisting records 0 monthly visits with -100% month-over-month growth and Paid pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Quicklisting](https://openaitools.app/tool/quicklisting) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://quicklist.ing/?gr_pk=PZEg | https://www.salesforce.com/agentforce/ |
| Categories | AI Marketing, AI Digital Marketing, AI Advertising, AI Copywriting | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 0 | 111,910,743 |
| MoM Growth Rate | -100% | +2.2% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 60,741,009 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 5 | 20 |
| Supported Platforms | Website | Website |

## Quicklisting

Quicklisting is a submission automation service aimed at SaaS and AI founders who know that directory listings and backlinks help discovery but do not want to spend weeks filling out forms. You provide the product name, description, features, images and pricing, choose which directories you want from its catalogue of 150+, and let the bot handle the posting. The site positions the main benefit as saving 40+ hours of manual work and reaching audiences across many listing sites at once.

Submissions to free directories are automated and spaced five minutes apart for security, so the automation is less likely to be flagged. Paid directories are handled differently: because they sit behind a paywall, those submissions are done manually, and you pay the directory fee plus a 20% commission to Quicklisting. You keep control over which directories are used, and the site is explicit that it cannot guarantee acceptance since each directory applies its own criteria.

Expectations around timing are set honestly on the site. Some directories publish immediately while others can take months, and backlinks generally take a few months before search engines recognise them. Startups are usually submitted under the founder's name, though some directories require a login, in which case Quicklisting uses its own credentials for logistics. There is no free tier advertised on the site; you contact an expert to get started.

**Pricing & Plans:** Paid service. Free directory submissions are automated, while paid directories cost the directory's own fee plus a 20% commission to Quicklisting. Contact Quicklisting for a quote; the site does not publish fixed package prices.

- **150+ directory catalogue:** Pick from more than 150 startup, SaaS and AI directories and submit only to the ones you consider worth it.
- **Automated free submissions:** The Quicklisting bot fills in and posts your product to free directories automatically, spaced five minutes apart for safety.
- **Manual handling of paid directories:** Because paid directories sit behind paywalls, Quicklisting submits to those manually on your behalf.
- **Full directory control:** You decide which directories to include or skip, so you can avoid sites you do not want to appear on.
- **Product detail intake:** Provide name, description, features, images and pricing once, and reuse that data across every submission.

**Strengths:** Saves the many hours of form filling that manual directory submission requires; Large catalogue of 150+ directories with full control over which are used; Honest about acceptance uncertainty, delays and backlink indexing timelines; Free directory submissions are automated, so the bulk of the work is hands-off

**Limitations:** No guarantee that any individual directory will accept your submission; Paid directories add a 20% commission on top of the directory's own fee; Backlink results take months and SEO timelines are not controllable; No public price list, so you must contact sales to find out what it costs

[Profile (Markdown)](https://openaitools.app/tool/quicklisting.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 Quicklisting and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Quicklisting has 0 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?

Quicklisting has a month-over-month growth rate of -100%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Quicklisting: Paid. Paid service. Free directory submissions are automated, while paid directories cost the directory's own fee plus a 20% commission to Quicklisting. Contact Quicklisting for a quote; the site does not publish fixed package prices. 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 | [Klaviyo](https://openaitools.app/tool/klaviyo) | 6,674,207 | +6.1% | Paid | The AI-powered B2C CRM for email, SMS, and personalized marketing at scale | [.md](https://openaitools.app/tool/klaviyo.md) |
| 2 | [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) |
| 3 | [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) |
| 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 | [Robly Email Marketing](https://openaitools.app/tool/robly-com) | 740,230 | +29.7% | Free Trial, Paid | Email marketing with AI send-time optimization to lift opens | [.md](https://openaitools.app/tool/robly-com.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Offers flexible no-code multi-agent workforce building, but lacks Salesforce's deep CRM data integration and native enterprise security. | [.md](https://openaitools.app/tool/relevance-ai.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)