# Dust vs ExactScience

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. ExactScience records 0 monthly visits with 0% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [ExactScience](https://openaitools.app/tool/exactscience) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.exactscience.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI SEO Tools, AI Marketing, AI Digital Marketing |
| Pricing Model | Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 5 | 1 |
| 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)

## ExactScience

ExactScience positions itself as a modern alternative to rank trackers that still assume a search results page is ten blue links. Instead it captures the whole SERP with context: ads, featured snippets, rich results and organic listings, along with pixel and device data, so teams can see where they actually appear on a real device rather than just an abstract position number. An AI-driven Content Relevance Score, delivered through an Orbitwise integration, sits next to the search results and helps determine whether a page needs better content or more links to move up.

The platform is data-source agnostic and built for scale. It can normalize data from several SERP providers, handle very large keyword volumes, and lets teams choose refresh cadence from every 15 or 30 minutes up to daily. It also supports the things large organizations need: tracking many brands and competitors in one consolidated view, importing historical rankings from other tools so you keep your timeline, tagging keywords by site section, topic or buyer's journey stage, blending Google Search Console data for CTR and impression validation, and exporting everything to CSV. Slack alerts for significant ranking changes are listed as coming soon.

Pricing is deliberately credit-based. Instead of paying per keyword per domain, a credit covers one keyword refreshed daily for a month, so the same keyword across multiple domains and competitors does not cost extra. Public plans start at $99 per month for 2,000 credits and scale up through $499 for 10,000 credits and $1,249 for 25,000 credits, with an enterprise tier above that. A 7-day free trial covers 30 keywords tracked daily and requires no credit card.

**Pricing & Plans:** Credit-based subscription with a 7-day free trial (30 keywords, daily tracking, no credit card). Published tiers: Niche at $99/month for 2,000 credits, Vertical at $499/month for 10,000 credits, and Multi-Vertical at $1,249/month for 25,000 credits. A Multi Site Enterprise plan with 50,000+ credits is quote-only. Credits are priced at roughly $0.05 each and assumed daily refreshes; more frequent updates consume more credits.

- **Full-SERP absolute rank tracking:** Records ads, featured snippets, rich results and organic listings together with pixel and device data, so rankings reflect how results actually appear on a user's screen rather than an idealized top-ten list.
- **AI Content Relevance Score:** An Orbitwise integration scores how relevant a ranking page is to its target keyword, helping you decide whether to improve content quality or build more links to climb.
- **Credit-based keyword pricing:** One credit covers a single keyword refreshed daily for a month, tracked across unlimited domains, competitors and users — you are not charged again to watch the same keyword for other sites.
- **Google Search Console blending:** Connect GSC properties to pull roughly 16 months of data, validate ranking accuracy and surface CTR, clicks and impressions at keyword and URL level, including keywords ranking 10-20 you aren't tracking.
- **Flexible refresh cadence and export:** Choose weekly, daily, hourly or sub-hourly refreshes down to 15 or 30 minutes, and export a universal CSV covering rankings, pixel, device, competitive and refresh-frequency data for your own tooling.

**Strengths:** Captures the full SERP including ads, snippets and device/pixel context rather than only the top ten organic results; Credit system avoids paying twice for the same keyword across multiple brands and competitors; Transparent published pricing with an entry tier under $100 per month and a no-card free trial; Strong enterprise capabilities: 100M+ daily keyword capacity, historical imports, GSC blending and unlimited domains, users and exports

**Limitations:** Sub-hourly refresh cadences multiply credit consumption fast — 2,000 keywords hourly jumps to roughly $2,399 per month; Slack alerting was still listed as coming soon, so real-time notifications depend on workarounds; Positioned for larger SEO operations; smaller sites may find the entry credit pool excessive for their needs

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while ExactScience has 0. 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%; ExactScience has 0%.

### 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. ExactScience: Free Trial, Paid, Contact for Pricing. Credit-based subscription with a 7-day free trial (30 keywords, daily tracking, no credit card). Published tiers: Niche at $99/month for 2,000 credits, Vertical at $499/month for 10,000 credits, and Multi-Vertical at $1,249/month for 25,000 credits. A Multi Site Enterprise plan with 50,000+ credits is quote-only. Credits are priced at roughly $0.05 each and assumed daily refreshes; more frequent updates consume more credits.

## 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 | [Peec AI](https://openaitools.app/tool/peec-ai) | 262,088 | +0.8% | Free Trial, Paid, Contact for Pricing | AI search visibility analytics for marketing teams | [.md](https://openaitools.app/tool/peec-ai.md) |
| 9 | [SEOmator](https://openaitools.app/tool/seomator) | 187,850 | +10.6% | Freemium, Paid | AI SEO manager that tracks rankings and AI answers, then does the work | [.md](https://openaitools.app/tool/seomator.md) |
| 10 | [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) |

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

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