Better evidence for global development
AidData (aiddata.org) scores 80 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Education brands, Government brands, in the 62nd percentile of 4670 Non-profit brands.
AidData is a research lab based at the College of William & Mary, founded in 2009. It provides data-driven analysis of global development finance, focusing on who funds what, where, and to what effect. The organization is known for tracking overseas investment flows, including Chinese development finance, and offers granular datasets and tools intended to help policymakers, researchers, and practitioners design, monitor, and evaluate sustainable development investments.
| Brand Name | AidData |
|---|---|
| Domain | aiddata.org |
| Industry | Non-profit, Education |
| Founded | 2009 |
| Parent Company / Owner | College of William & Mary |
| Main Competitors | Center for Global Development (80/100), Overseas Development Institute (84/100), Boston University Global Development Policy Center (75/100), American Enterprise Institute (China Global Investment Tracker) (86/100), SAIS China-Africa Research Initiative, Rhodium Group |
Moz Domain Authority 59/100 vs category average 52 / leader 97 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #189,213 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
AidData has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "We equip policymakers and practitioners with better evidence to improve how sustainable development investments are targeted, monitored, and evaluated. We use rigorous methods, cu…" (Meta description: 43 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, og:type, 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.
Detected tech stack: Cloudflare, Webflow.
Social footprint: verified profiles on LinkedIn, Instagram, YouTube, GitHub; no detected presence on Facebook, X (Twitter) - 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 September 2026.
When asked "What is AidData?", Claude could identify the brand as of September 2026. AidData is a research lab at William & Mary's Global Research Institute that tracks and publishes data on international development finance, including Chinese overseas lending and aid flows that aren't reported to traditional databases like the OECD's. Best known for Tracking and publishing detailed data on Chinese overseas development finance and loans.
When asked "Best brands similar to AidData?", Claude would recommend AidData as of September 2026. It's a leading and widely cited source for development finance data, especially on China's global lending, so it's a natural mention for researchers or policymakers in this space.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
AidData's main competitors in Non-profit: Center for Global Development (80/100), Overseas Development Institute (84/100), Boston University Global Development Policy Center (75/100), American Enterprise Institute (China Global Investment Tracker) (86/100).
Sources: Brand Analyzer scan
AidData offers research datasets, analytical tools, and reports focused on global development finance. Its offerings include granular data tracking on aid flows, foreign investment, and loans, particularly related to Chinese overseas development finance, intended to support the targeting, monitoring, and evaluation of sustainable development investments.
Sources: AidData official site
AidData is a research laboratory affiliated with the College of William & Mary, founded in 2009. It specializes in producing rigorous, data-driven analysis of global development finance, including foreign aid, investment, and loan flows, with a particular focus on tracking how and where development resources are deployed.
Sources: AidData official site
AidData has moderate AI-search visibility, scoring 54/100 on Brand Analyzer's AI visibility composite (visibility 68, trust 29, recommendation 57). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: AidData official site
AidData was founded in 2009. AidData operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
AidData collects, analyzes, and publishes granular data on global development finance flows, including foreign aid, loans, and investments. It uses rigorous research methods and tools to help answer questions about who is financing what activities, where, for whom, and with what effect, supporting the design, monitoring, and evaluation of sustainable development investments.
Sources: AidData official site
AidData scores 57/100 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: AidData official site
AidData is known for its detailed tracking and analysis of global development finance, particularly its datasets on Chinese overseas investment and debt. It is recognized as an independent, data-driven source for understanding international aid and development finance flows.
Sources: AidData official site
AidData 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: AidData official site
AidData's resources are used by policymakers, development practitioners, researchers, and journalists who focus on international development finance, aid effectiveness, and geopolitical economic analysis, particularly those studying global investment and lending flows.
Sources: AidData official site
AidData is owned by or part of College of William & Mary. AidData operates in the Non-profit category.
Sources: Wikidata
AidData scores 54/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
AidData has a limited AI-visibility profile at 54/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (68/100) and its weakest is trust (29/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #189,213 (Tranco). 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 AidData from memory (September 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 AidData: Arkansas Game and Fish Commission (80/100), American Economic Association (80/100), AIGA (80/100), Australian Industry Group (80/100).
A step up - brands to learn from: Young Survival Coalition (81/100), YMCA of Greater New York (81/100).
Category leader: PBS (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.