# Dust vs GetMint

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. GetMint records 18,402 monthly visits with -10.7% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [GetMint](https://openaitools.app/tool/getmint) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.getmint.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI SEO Tools, AI Marketing, AI Digital Marketing, AI Monitor |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 18,402 |
| MoM Growth Rate | +1.8% | -10.7% |
| Primary Market | France | France |
| Direct Visits | 456,919 | 7,386 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## GetMint

GetMint addresses a problem most brands only recently started measuring: buyers increasingly ask an AI assistant for a recommendation instead of scanning ten blue links. GetMint runs what the company calls the full AI search loop. In the measure stage it tracks brand citations, sentiment, and share of voice across major models and AI answer surfaces, maps which sources those engines actually pull from, and surfaces the prompts and topics where competitors appear and you do not.

In the strategize stage, an AI Search agent and GetMint's in-house AI Search strategists turn those signals into a roadmap: which prompts to target, what content to build, and where to publish it. In the grow stage, the Content Studio generates briefs and AI-ready articles, and the platform supports publishing to owned pages as well as earned placements on the sources LLMs tend to trust. An AI Shopping radar extends tracking to product and purchase-intent queries in ChatGPT Shopping and similar environments.

GetMint positions itself as a single workspace rather than a patchwork of monitoring and content tools, and emphasizes measurement rigor: it says its research team includes a PhD mathematician and that scores are delivered with margin-of-error context. Pricing is quote-based for two tiers, Advanced and Enterprise & Agency, both sized by brands, markets, and goals during a sales call, with a typical 12-month commitment.

**Pricing & Plans:** Pricing is not published as self-serve tiers. GetMint lists two quote-based plans, Advanced and Enterprise & Agency, each sized to your brands, markets, and goals on a sales call. The Advanced plan includes 300+ tracked prompts, 5 topics, unlimited users, 10 contents, and 3,500 monthly credits across 3 AI models, while Enterprise & Agency adds custom prompts and topics, API access, a dedicated AI Search strategist, role-based access control, and custom workflows. Commitment is typically 12 months.

- **AI Search Visibility Tracking:** Monitor where and how often your brand is cited across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews, with sentiment and share-of-voice scoring per engine.
- **Sources Explorer and Content Gaps:** See exactly which sources AI engines cite in your category and identify the prompts and topics where competitors win and you are absent.
- **AI Search Agent and Content Studio:** Convert visibility insights into an action plan, then generate briefs and AI-ready articles designed to earn mentions and publish to owned or earned outlets.
- **AI Shopping and Ads Radar:** Extend monitoring to product and purchase-intent queries in AI shopping surfaces such as ChatGPT Shopping, and act on emerging ad inventory. (Enterprise tier)
- **Multi-Market Analysis and Expert Support:** Track multiple countries and brands, with a dedicated strategist, onboarding, and skill sharing via API and MCP so teams can eventually run insights independently.

**Strengths:** Combines monitoring, planning, and content production in one workspace rather than three separate tools; Covers a wide engine set including ChatGPT, Gemini, Perplexity, Claude, AI Overviews, and AI shopping surfaces; Provides competitor analysis, sentiment, and content-gap views alongside raw citation tracking; Includes human AI Search strategists and a road-to-autonomy program with API and MCP skill sharing

**Limitations:** No public self-serve pricing; both plans are quote-based and require a sales call; Typical 12-month commitment may not suit teams wanting short trials; Content generation volume is credit-limited even on the entry Advanced plan; Built for enterprise brands and agencies, so it may be oversized and costly for small businesses

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

## Frequently Asked Questions

### How do Dust and GetMint compare in monthly traffic?

Dust has 547,217 monthly visits, while GetMint has 18,402. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; GetMint has -10.7%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. GetMint: Contact for Pricing. Pricing is not published as self-serve tiers. GetMint lists two quote-based plans, Advanced and Enterprise & Agency, each sized to your brands, markets, and goals on a sales call. The Advanced plan includes 300+ tracked prompts, 5 topics, unlimited users, 10 contents, and 3,500 monthly credits across 3 AI models, while Enterprise & Agency adds custom prompts and topics, API access, a dedicated AI Search strategist, role-based access control, and custom workflows. Commitment is typically 12 months.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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Source: https://openaitools.app/compare/dust-vs-getmint

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