# Dust vs Editby

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Editby records 204 monthly visits with -12.8% growth and Paid, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Editby](https://openaitools.app/tool/editby) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://editby.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Marketing, AI Ad Generator, AI Social Media Post Generator |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 547,217 | 204 |
| MoM Growth Rate | +1.8% | -12.8% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 91 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 5 | 4 |
| 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)

## Editby

Editby, built by The Formula AI S.r.l. in Milan, Italy, positions itself as the answer to what it calls 'AI slop': generic model output that a marketer has to rewrite before it is publishable. Instead of prompting a chatbot per piece, you onboard your brand once — uploading tone guidelines, rules and examples of your strongest content — and the platform builds a reusable brand profile that every generated asset inherits.

The workflow is agent-driven. You choose keywords or topics, pick a schedule, and Editby's writers research what is currently ranking, draft the piece in your voice, and drop it into a shared content calendar for review. Teams can collaborate in a workspace, split work across campaigns, and keep multiple brands (agencies, multi-product companies) isolated in a single account.

Beyond drafting, Editby includes keyword research and competitive analysis so content is briefed for discovery on Google, LinkedIn and other channels rather than written blind. The company says most users cut drafting time from several hours per asset to roughly half an hour of review and editing. New users currently join through a waitlist, and there is a free starting tier with no credit card.

**Pricing & Plans:** Freemium-style entry with a free starting tier (no credit card) plus monthly subscription plans: Starter about $9.99/month, Pro about $19.99/month and Enterprise about $29.99/month, each billed monthly or yearly. Access for new sign-ups runs through a waitlist.

- **Brand voice training:** Upload tone guidelines, style rules and examples of your best posts so every generated blog, newsletter and LinkedIn post sounds like you rather than a generic model.
- **Autonomous content agents:** Set keywords and a publishing schedule; agents research current topics, draft content on cadence and hand it to you for review before publication.
- **Broad format coverage:** One brand voice drives LinkedIn posts, newsletters, long-form blog articles, tweets, press releases and YouTube scripts, each adapted to its platform.
- **Research and ranking data:** Keyword research and analysis of content that already ranks help brief each piece so it can perform on search and social instead of being written blind.
- **Team workspaces and calendars:** Share brand guidelines, run multiple brands or campaigns in one workspace, and track drafting status from ready to published on a shared content calendar.

**Strengths:** Brand-voice onboarding produces drafts that need editing rather than full rewrites; Covers several formats — blog, newsletter, LinkedIn, X/Twitter, press release, video script — from one voice profile; Scheduled agents and a content calendar support a repeatable publishing rhythm; Low entry price with a free tier and no credit card required to start

**Limitations:** New users join through a waitlist rather than getting instant access; Public pricing page lists plan names and prices but not detailed per-plan feature quotas; Quality still depends on how much good source material you give it during onboarding

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Editby has 204. 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%; Editby has -12.8%.

### 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. Editby: Paid, Contact for Pricing. Freemium-style entry with a free starting tier (no credit card) plus monthly subscription plans: Starter about $9.99/month, Pro about $19.99/month and Enterprise about $29.99/month, each billed monthly or yearly. Access for new sign-ups runs through a waitlist.

## 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 | [Jasper](https://openaitools.app/tool/jasper) | 372,951 | -11.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI agents and brand-governed content for enterprise marketing teams | [.md](https://openaitools.app/tool/jasper.md) |
| 8 | [Holo](https://openaitools.app/tool/holo) | 303,805 | +44.8% | Paid | Your whole marketing department, on autopilot | [.md](https://openaitools.app/tool/holo.md) |
| 9 | [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) |
| 10 | [Predis.ai](https://openaitools.app/tool/predis) | 243,903 | +10.4% | Freemium, Free Trial | Turn a prompt or product link into ads, UGC videos, and scheduled social posts | [.md](https://openaitools.app/tool/predis.md) |

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

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