Data and AI for mission
data.org (data.org) scores 83 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Non-profit brands, Technology brands, Education brands, in the 87th percentile of 16874 Non-profit brands.
data.org is a civil society organization founded in 2012 that coordinates across sectors-nonprofits, funders, and technology experts-to advance practical solutions for using data and AI to drive social impact. It provides training, funding, and advisory services aimed at building data and AI capacity within social impact organizations, helping translate technological innovation into measurable mission outcomes for the nonprofit and social good sector.
| Brand Name | data.org |
|---|---|
| Domain | data.org |
| Industry | Non-profit, Technology |
| Founded | 2012 |
| Main Competitors | DataKind, NetHope, TechSoup (86/100), Benetech (85/100), Project Data Sphere (69/100), Delta Analytics |
Moz Domain Authority 55/100 vs category average 49 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #594,654 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
data.org appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "data.org coordinates across sectors to support and advance visionary-yet practical-solutions to drive impact through data and AI." (Meta description: 17 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 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: Nginx, WordPress, Ghost.
Social footprint: verified profiles on LinkedIn, YouTube, X (Twitter), Facebook, Instagram, 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 October 2026.
When asked "What is data.org?", Claude could identify the brand as of October 2026. data.org is a nonprofit platform co-founded by the Mastercard Center for Inclusive Growth and The Rockefeller Foundation that works to build the field of data science for social impact, connecting social sector organizations with funding, training, and talent to solve development Best known for Building partnerships and funding programs to grow data science capacity for social good, including initiatives like the Data Science for Social Impact Fellowsh.
When asked "Best brands similar to data.org?", Claude would recommend data.org as of October 2026. It's a well-regarded name in the data-for-good and social impact space, so it would be relevant if someone asked about organizations advancing data science for nonprofit or development work.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
data.org's main competitors in Non-profit: TechSoup (86/100), Benetech (85/100), Project Data Sphere (69/100).
Sources: Brand Analyzer scan
data.org has moderate AI-search visibility, scoring 52/100 on Brand Analyzer's AI visibility composite (visibility 44, trust 55, recommendation 61). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: data.org official site
data.org was founded in 2012. data.org operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
data.org scores 61/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: data.org official site
data.org is a civil society organization, founded in 2012, that coordinates across sectors to support and advance practical solutions for using data and AI to create social impact. It functions as a cross-sector coordinator and catalyst, connecting nonprofits, funders, and technology experts around shared data and AI initiatives for the social good sector.
Sources: data.org official site
data.org bridges nonprofits, funders, and technology experts to build data and AI capacity for social good. It offers training, funding, and advisory services designed to help social impact organizations adopt and apply data and AI tools effectively, turning technological innovation into measurable progress toward their missions.
Sources: data.org official site
data.org 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.org official site
data.org offers training, funding, and advisory services aimed at helping nonprofits and social impact organizations build data and AI capacity. These services are designed to support organizations in applying data and AI tools practically to advance their missions, with data.org acting as a coordinator connecting nonprofits, funders, and technology experts.
Sources: data.org official site
data.org is used by nonprofits, social impact organizations, funders, and data practitioners seeking to apply data and AI toward achieving social good outcomes. These groups engage with data.org's training, funding, and advisory offerings to build internal data and AI capacity and connect with other cross-sector stakeholders working on similar goals.
Sources: data.org official site
data.org scores 52/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
data.org has a limited AI-visibility profile at 52/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (61/100) and its weakest is visibility (44/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #594,654 (Tranco) and a Moz Domain Authority of 55/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify data.org from memory (October 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.org: Dalberg (83/100), DAG (83/100), Dave Thomas Foundation for Adoption (83/100), Davidson Institute (83/100).
A step up - brands to learn from: Workaway (91/100), WHYY (91/100).
Category leader: Change.org (97/100).
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