Multiplayer AI for human-agent collaboration
Dust (dust.tt) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among SaaS brands, Technology brands, in the 47th percentile of 37194 SaaS brands.
Dust (dust.tt) is a SaaS technology platform that connects company knowledge, tools, and teams to enable organizations to create, share, and run AI agents across real workflows. It integrates more than 70 tool connectors and over 20 frontier AI models into a single collaborative system, allowing enterprise teams to use different models for different tasks while keeping people in control of outcomes. Dust is positioned as a 'multiplayer AI platform' used by over 3,000 global organizations.
| Brand Name | Dust |
|---|---|
| Domain | dust.tt |
| Industry | SaaS, Technology |
| Main Competitors | Glean (88/100), Microsoft Copilot (83/100), Writer (93/100), Adept (73/100), Sierra (86/100), Notion AI (94/100), LangChain (68/100), Cohere (86/100) |
Ranked #95,421 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
Dust appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Dust connects your company knowledge, tools, and teams so you can create, share, and run agents across real workflows. Use different models for different tasks, with people in cont…" (Meta description: 29 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), YouTube, Facebook, Instagram; no detected presence on GitHub, LinkedIn - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked November 2026.
When asked "What is Dust?", Claude could identify the brand as of November 2026. Dust is a startup building a platform for creating AI agents that connect to a company's internal tools and data, letting teams automate workflows and get contextual answers using large language models. It's aimed at businesses wanting to deploy customized AI assistants across th Best known for Building customizable AI agent/assistant platforms for enterprise workflows.
When asked "Best brands similar to Dust?", Claude would recommend Dust as of November 2026. It's a notable player in the enterprise AI agent space, especially for companies wanting to build internal AI tools with data integrations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Dust's main competitors in SaaS: Glean (88/100), Microsoft Copilot (83/100), Writer (93/100), Adept (73/100), Sierra (86/100).
Sources: Brand Analyzer scan
Dust offers a platform for creating, sharing, and running AI agents that connect to company knowledge and over 70 business tool integrations, supporting the use of more than 20 different frontier AI models for various tasks within enterprise workflows.
Sources: Dust official site
Dust is a SaaS technology platform that connects company knowledge, tools, and teams so organizations can create, share, and run AI agents across real workflows, keeping people in control of outcomes.
Sources: Dust official site
Dust has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 45, trust 4, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Dust official site
Dust connects a company's internal knowledge, business tools, and teams into a unified system, enabling users to build and deploy AI agents that work across more than 70 tool connectors and over 20 frontier AI models, supporting collaborative, context-aware workflows across departments.
Sources: Dust official site
Dust scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Dust official site
Dust can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Dust official site
Dust is known for being a 'multiplayer AI platform' that enables human-agent collaboration by integrating company context, numerous tool connectors, and multiple AI models into one system, and for being used by over 3,000 global organizations.
Sources: Dust official site
Dust is used by enterprise and business teams across various departments who want to integrate AI agents into their existing tools and workflows for collaborative, context-aware work. The platform states it is trusted by over 3,000 global organizations.
Sources: Dust official site
Dust scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Dust has a weak AI-visibility profile at 33/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (45/100) and its weakest is trust (4/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #95,421 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Dust from memory (November 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Dust: Epiq (76/100), Dance Studio Owners Association (DSOA) (76/100), d.velop (76/100), DVT (76/100).
A step up - brands to learn from: Zutobi (81/100), Zuppler (81/100).
Category leader: Hostinger (97/100).
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