Pro bono statistics for humanity
Statistics Without Borders (statisticswithoutborders.org) scores 71 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Education brands, in the 34th percentile of 29932 Non-profit brands.
Statistics Without Borders (SWB) is a volunteer-driven nonprofit organization founded in 2008 that provides pro bono statistical and data science services. It connects skilled volunteer statisticians and data scientists with nonprofits, humanitarian organizations, and community initiatives that need analytical support but cannot afford it. SWB's mission is to benefit the common good and support organizations working for humanity, positioning itself as a bridge between statistical expertise and causes that prioritize people and the planet over profit.
| Brand Name | Statistics Without Borders |
|---|---|
| Domain | statisticswithoutborders.org |
| Industry | Non-profit, Education |
| Founded | 2008 |
| Main Competitors | DataKind (74/100), Taproot Foundation (81/100), Catchafire (81/100), Pro Bono Economics (76/100) |
Statistics Without Borders has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Pro bono Statistical Analysis" (Meta description too short (4 words). No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. 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.
Detected tech stack: Nginx.
Social footprint: verified profiles on X (Twitter), YouTube, LinkedIn, 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 November 2026.
When asked "What is Statistics Without Borders?", Claude could identify the brand as of November 2026. Statistics Without Borders is a volunteer organization, affiliated with the American Statistical Association, that provides free statistical consulting and analysis to nonprofits, NGOs, and government agencies working on humanitarian and social good projects, especially in develo Best known for Providing pro-bono statistical consulting and data analysis support to humanitarian and nonprofit organizations worldwide.
When asked "Best brands similar to Statistics Without Borders?", Claude would recommend Statistics Without Borders as of November 2026. It's a well-known niche resource among statisticians and nonprofits looking for free, expert-level data and survey analysis help, so it fits naturally in discussions of volunteer statistical or data-for-good organizations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Statistics Without Borders's main competitors in Non-profit: DataKind (74/100), Taproot Foundation (81/100), Catchafire (81/100), Pro Bono Economics (76/100).
Sources: Brand Analyzer scan
SWB offers pro bono statistical analysis and data science services, including volunteer-provided expertise in statistical methods and data analysis for organizations that cannot afford to pay for such services. Its core offering is connecting volunteer statisticians and data scientists with nonprofit and humanitarian organizations in need.
Statistics Without Borders (SWB) is a volunteer-driven nonprofit organization, founded in 2008, that provides pro bono statistical and data science services. It operates in the non-profit and education categories, with a mission to provide free statistical expertise that benefits the common good and supports organizations working for humanity.
Statistics Without Borders has limited AI-search visibility, scoring 45/100 on Brand Analyzer's AI visibility composite (visibility 61, trust 4, recommendation 64). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Statistics Without Borders was founded in 2008. Statistics Without Borders operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Statistics Without Borders scores 64/100 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.
SWB's services are used by nonprofits, humanitarian organizations, and community initiatives that need statistical or data science support but lack the resources to afford it. Additionally, the organization engages volunteer statisticians and data scientists who want to contribute their skills to meaningful causes.
Statistics Without Borders 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.
Statistics Without Borders is known for being a pro bono statistical and data science service provider that matches volunteer statisticians and data scientists with nonprofit and humanitarian organizations in need of analytical expertise they could not otherwise afford.
Statistics Without Borders scores 45/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Statistics Without Borders has a limited AI-visibility profile at 45/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (64/100) and its weakest is trust (4/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). 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 Statistics Without Borders 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 Statistics Without Borders: Startup-Verband (71/100), St. Ann's Episcopal Church (71/100), St Bede's College (71/100), St Bene't's Church (71/100).
A step up - brands to learn from: ZNetwork (81/100), ZLTO (81/100).
Category leader: Change.org (97/100).
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