Advancing open data for public good
Center for Open Data Enterprise (CODE) (opendataenterprise.org) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Government brands, Non-profit brands, Technology brands, in the 24th percentile of 13618 Government brands.
Center for Open Data Enterprise (CODE) is a US nonprofit organization founded in 2015 and headquartered in Washington, D.C. Its mission is to harness collaboration and open data to address real-world problems and advance the public use of data for good. CODE convenes roundtables linking data providers and users, and conducts research on open data policy, partnering with the White House, federal agencies, and global organizations to improve data practices across government, philanthropic, and industry sectors.
| Brand Name | Center for Open Data Enterprise (CODE) |
|---|---|
| Domain | opendataenterprise.org |
| Industry | Government, Non-profit |
| Founded | 2015 |
| Headquarters | Washington, D.C. |
| Main Competitors | Open Knowledge Foundation (86/100), The GovLab (76/100), Data Foundation (69/100), Open Data Institute (82/100), Code for America (81/100), Sunlight Foundation (77/100) |
Moz Domain Authority 38/100 vs category average 47 / leader 97 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "To harness the power of collaboration and open data to address real-world problems and advance the public use of data for good." (No meta description) - 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: Cloudflare, Webflow.
Social footprint: verified profiles on LinkedIn, Facebook, Instagram, GitHub; no detected presence on X (Twitter), 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 October 2026.
When asked "What is Center for Open Data Enterprise (CODE)?", Claude could identify the brand as of October 2026. The Center for Open Data Enterprise is a Washington, DC-based nonprofit that works with governments, businesses, and civil society to improve the quality, accessibility, and use of open data, often through roundtable discussions and partnerships with agencies like the U.S. federa Best known for Organizing roundtables and initiatives that connect government agencies with data users to improve open data policy and practice.
When asked "Best brands similar to Center for Open Data Enterprise (CODE)?", Claude would recommend Center for Open Data Enterprise (CODE) as of October 2026. It's a recognized niche nonprofit in the open data and government transparency space, so it would come up if someone asked about organizations working on open data policy.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Center for Open Data Enterprise (CODE)'s main competitors in Government: Open Knowledge Foundation (86/100), The GovLab (76/100), Data Foundation (69/100), Open Data Institute (82/100), Code for America (81/100).
Sources: Brand Analyzer scan
Center for Open Data Enterprise (CODE) is a US nonprofit organization founded in 2015 and based in Washington, D.C. It focuses on harnessing collaboration and open data to address real-world problems and advance the public use of data for good.
Sources: Center for Open Data Enterprise (CODE) official site
Center for Open Data Enterprise (CODE) has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 22, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Center for Open Data Enterprise (CODE) official site
Center for Open Data Enterprise (CODE) was founded in 2015. Center for Open Data Enterprise (CODE) operates in the Government category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Center for Open Data Enterprise (CODE) is headquartered in Washington, D.C.. Center for Open Data Enterprise (CODE) operates in the Government category.
Sources: Wikidata
CODE offers roundtable convenings that connect data providers and users, along with research and publications on open data policy and practice. These services are aimed at improving collaboration between government, philanthropic, and industry stakeholders around open data.
Sources: Center for Open Data Enterprise (CODE) official site
Center for Open Data Enterprise (CODE) scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Government options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Center for Open Data Enterprise (CODE) official site
Center for Open Data Enterprise (CODE) 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: Center for Open Data Enterprise (CODE) official site
CODE's work is used by government agencies, policymakers, data providers and users, philanthropic foundations, think tanks, intergovernmental organizations, and corporate or industry partners interested in open data policy and practice.
Sources: Center for Open Data Enterprise (CODE) official site
Center for Open Data Enterprise (CODE) scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Center for Open Data Enterprise (CODE) has a weak AI-visibility profile at 28/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (21/100). It benefits from a Wikidata knowledge-graph entry and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 38/100 and thin schema.org structured data. In a live check, Claude could already identify Center for Open Data Enterprise (CODE) 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 Center for Open Data Enterprise (CODE): Oneonta City School District (68/100), Ordre des médecins vétérinaires du Québec (OMVQ) (68/100), Orange County, Texas (68/100), Orléans Métropole (68/100).
A step up - brands to learn from: ZIA (71/100), ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung (71/100).
Category leader: ABC News (96/100).
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