Turn data chaos into clarity
data.world (data.world) scores 89 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, in the 95th percentile of 19533 SaaS brands.
data.world is a public benefit data and analytics company headquartered in Austin that provides an enterprise data catalog platform. The platform helps organizations discover, understand, and activate data and metadata, enabling AI-ready analytics and reducing data silos. It is designed for enterprise data teams, data engineers, analysts, and business leaders who need to organize and leverage data for analytics and AI initiatives.
| Brand Name | data.world |
|---|---|
| Domain | data.world |
| Industry | SaaS, Technology |
| Headquarters | Austin |
| Main Competitors | Alation (90/100), Collibra (85/100), Atlan (88/100), Informatica (91/100), Ataccama (82/100), Microsoft Purview (79/100), Google Cloud Data Catalog |
Moz Domain Authority 70/100 vs category average 35 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #42,436 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
data.world has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Discover data and metadata in seconds and develop data products and analytics that drive your business." (Meta description: 16 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: HubSpot.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, GitHub; no detected presence on Facebook, YouTube - 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 August 2026.
When asked "What is data.world?", Claude could identify the brand as of August 2026. data.world is a cloud-based data catalog and collaboration platform that helps organizations manage, discover, and govern their data assets, combining a knowledge graph approach with tools for data cataloging, governance, and analytics. It was co-founded by Brett Hurt and others, Best known for Being a data catalog platform built on a knowledge graph architecture for enterprise data discovery and governance.
When asked "Best brands similar to data.world?", Claude would recommend data.world as of August 2026. It's a recognized player in the data catalog and governance space, often mentioned alongside tools like Alation and Collibra.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
data.world's main competitors in SaaS: Alation (90/100), Collibra (85/100), Atlan (88/100), Informatica (91/100), Ataccama (82/100).
Sources: Brand Analyzer scan
data.world has moderate AI-search visibility, scoring 69/100 on Brand Analyzer's AI visibility composite (visibility 71, trust 60, recommendation 75). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: data.world official site
data.world is headquartered in Austin. data.world operates in the SaaS category.
Sources: Wikidata
data.world offers an enterprise data catalog platform designed to make data and metadata discoverable in seconds. The platform supports the development of data products and AI-ready analytics, and helps break down data silos through automated confidence in data discovery and understanding.
Sources: data.world official site
data.world scores 75/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably 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: data.world official site
data.world is a public benefit data and analytics company that provides an enterprise data catalog platform. Headquartered in Austin, it is designed to help organizations discover, understand, and activate data and metadata for analytics and AI initiatives.
Sources: data.world official site
data.world offers a data catalog platform that makes data and metadata discoverable in seconds. It helps enterprise data teams find, understand, and use data efficiently, supporting the development of data products and AI-ready analytics while reducing data silos.
Sources: data.world official site
data.world 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: data.world official site
data.world is used by enterprise data teams, data engineers, analysts, and business leaders who need to organize and leverage data for analytics and AI initiatives within their organizations.
Sources: data.world official site
data.world is known for its enterprise data catalog platform that enables fast discovery of data and metadata, positioning itself as a leading AI-ready data catalog for enterprise data teams.
Sources: data.world official site
data.world scores 69/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
data.world has a moderate AI-visibility profile at 69/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (75/100) and its weakest is trust (60/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #42,436 (Tranco). The main gaps holding it back: no llms.txt to steer AI to its best pages. In a live check, Claude could already identify data.world from memory (August 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 data.world: DataGrail (89/100), Databox (89/100), DAT (89/100), Degreed (89/100).
A step up - brands to learn from: ZipRecruiter (91/100), Zerto (91/100).
Category leader: Hostinger (97/100).
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