Global SDG Data, Unified and Accessible
UN System Data Commons (un.org) scores 83 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Government brands, Non-profit brands, Education brands, in the 85th percentile of 5966 Government brands.
UN System Data Commons is a public data platform developed by the United Nations Statistics Division, with support from Google, that integrates authoritative Sustainable Development Goals (SDG) data from across the UN System. It offers a user-friendly interface and natural language search functionality to help users explore and analyze global development data. The platform is designed to support informed decision-making by centralizing statistical information that was previously spread across multiple UN agencies and sources.
| Brand Name | UN System Data Commons |
|---|---|
| Domain | un.org |
| Industry | Government, Non-profit |
| Parent Company / Owner | United Nations Statistics Division |
| Main Competitors | World Bank Open Data (71/100), OECD Data (83/100), IMF Data (83/100), Our World in Data (85/100), Eurostat, Knoema (75/100), WHO Global Health Observatory (93/100) |
Moz Domain Authority 94/100 vs category average 50 / leader 97 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
UN System Data Commons has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "The UN System Data Commons platform integrates authoritative SDG data from across the UN System into a public repository with a user-friendly interface and an advanced natural lang…" (Meta description: 52 words. 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, Twitter cards. Adding Organization and 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.
Social footprint: verified profiles on Instagram, YouTube; no detected presence on X (Twitter), LinkedIn, Facebook, GitHub - 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 UNdata?", Claude could identify the brand as of August 2026. UNdata is a statistical database maintained by the United Nations Statistics Division that aggregates data from various UN and international agency databases into a single searchable platform, covering topics like population, trade, health, and economics. Best known for providing free, centralized access to official international statistics from multiple UN agencies.
When asked "Best brands similar to UNdata?", Claude would recommend UN System Data Commons as of August 2026. It's a widely used, authoritative source for global statistics that researchers, policymakers, and analysts frequently rely on.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
UN System Data Commons's main competitors in Government: World Bank Open Data (71/100), OECD Data (83/100), IMF Data (83/100), Our World in Data (85/100), Knoema (75/100).
Sources: Brand Analyzer scan
UN System Data Commons offers a public data repository containing authoritative SDG and global development statistics sourced from across the UN System. Its core features include a user-friendly interface for browsing and visualizing data, and an advanced natural language search tool that allows users to query and explore statistical information without needing specialized technical skills.
Sources: UN System Data Commons official site
UN System Data Commons is a public data platform that integrates authoritative Sustainable Development Goals (SDG) data from across the United Nations System into a single, accessible repository. It is developed by the United Nations Statistics Division with support from Google, and provides a user-friendly interface along with advanced natural language search functionality for exploring global development data.
Sources: UN System Data Commons official site
UN System Data Commons has limited AI-search visibility, scoring 49/100 on Brand Analyzer's AI visibility composite (visibility 55, trust 37, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: UN System Data Commons official site
UN System Data Commons is positioned as an authoritative source because it is developed by the United Nations Statistics Division and draws directly on official statistical data from across the UN System. Its stated mission is to integrate authoritative SDG data to support informed decision-making, suggesting a strong emphasis on data reliability and official sourcing.
Sources: UN System Data Commons official site
UN System Data Commons scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Government options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: UN System Data Commons official site
UN System Data Commons is used by researchers, policymakers, government officials, statisticians, journalists, students, and members of the general public who are interested in exploring and analyzing global sustainable development data. It serves anyone seeking centralized, authoritative statistics related to the UN's Sustainable Development Goals.
Sources: UN System Data Commons official site
UN System Data Commons is known for consolidating fragmented SDG and UN statistical data into a single, publicly accessible platform with advanced natural language search capabilities, making complex global development data easier to explore and analyze than through siloed UN agency sources.
Sources: UN System Data Commons official site
UN System Data Commons 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: UN System Data Commons official site
UN System Data Commons is valued for centralizing previously scattered UN statistical data into one platform, combined with an easy-to-use interface and natural language search functionality. This makes it simpler for researchers, policymakers, and the public to find and analyze global development data compared to searching through multiple separate UN agency databases.
Sources: UN System Data Commons official site
UN System Data Commons scores 49/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
UN System Data Commons has a limited AI-visibility profile at 49/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (55/100) and its weakest is trust (37/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 94/100. The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify UN System Data Commons 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.
83 in September 2026, level with 83 in August 2026.
Ranked closest to UN System Data Commons: United Utilities (83/100), UNHCR Operational Data Portal (83/100), U.S. Army Corps of Engineers (83/100), U.S. Travel Association (83/100).
A step up - brands to learn from: Yr (91/100), Yoti (91/100).
Category leader: ABC News (96/100).
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