Decentralize, Store, Monetize Your Data
Datum (datum.org) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, SaaS brands, Finance brands, in the 47th percentile of 53594 Technology brands.
Datum is a technology platform that enables developers and innovators to store and monetize data using a decentralized blockchain infrastructure. It focuses on privacy-centric application development, allowing users to secure personal data and generate value from it with minimal technical complexity, often requiring only a single line of code integration. The platform targets developers, app creators, and crypto enthusiasts interested in building data-driven applications that prioritize security and user control over information, aligning with broader trends in blockchain-based data ownership and monetization.
| Brand Name | Datum |
|---|---|
| Domain | datum.org |
| Industry | Technology, SaaS |
| Main Competitors | Ocean Protocol (74/100), Streamr (76/100), IOTA (85/100), Filecoin (88/100), Storj (85/100) |
Moz Domain Authority 43/100 vs category average 39 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #2,487,644 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Datum appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Datum empowers innovators to securely store and monetize data through a decentralized blockchain platform." (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.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram; no detected presence on GitHub, Facebook, 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 Datum?", Claude could not identify the brand as of October 2026. I don't genuinely recognize a specific company called 'Datum' at datum.org, possibly because it's a small, niche, or new organization with limited presence in my training data.
When asked "Best brands similar to Datum?", Claude would not surface Datum as of October 2026. I can't recommend a company I don't have verified knowledge of.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Datum's main competitors in Technology: Ocean Protocol (74/100), Streamr (76/100), IOTA (85/100), Filecoin (88/100), Storj (85/100).
Sources: Brand Analyzer scan
Datum has limited AI-search visibility, scoring 37/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 29, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Datum official site
Datum scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Datum official site
Datum is a decentralized blockchain platform designed to help developers and innovators securely store and monetize data. It provides infrastructure for building privacy-focused applications without requiring deep blockchain expertise.
Sources: Datum official site
Datum provides a decentralized blockchain infrastructure that allows developers to store user data securely and monetize it. The platform is designed so that integrating its data storage and monetization features requires minimal technical effort, reportedly as little as a single line of code.
Sources: Datum official site
Datum 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: Datum official site
Datum offers a decentralized blockchain platform for data storage and monetization. Its core offering includes infrastructure that lets developers integrate secure, privacy-focused data handling into their applications, with monetization capabilities built in and implementation requiring minimal coding effort.
Sources: Datum official site
Datum's target users include developers, app creators, and crypto enthusiasts who want to build privacy-centric applications and monetize user data securely through decentralized blockchain technology.
Sources: Datum official site
Datum is known for offering a decentralized approach to data storage and monetization through blockchain technology, specifically targeting developers who want to build privacy-focused applications without needing specialized blockchain knowledge.
Sources: Datum official site
Datum scores 37/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Datum has a weak AI-visibility profile at 37/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (51/100) and its weakest is trust (29/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #2,487,644 (Tranco) and a Moz Domain Authority of 43/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify Datum from memory, confirming the gaps above.
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 Datum: Datrend Systems Inc. (76/100), Datos Insights (76/100), Davis-Standard Corporation (76/100), Daytona (76/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
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