World's distributed AI supercomputer
DistributeAI (distribute.ai) earns a Brand Analyzer score of 70 out of 100, placing it in the Developing tier among SaaS brands, Technology brands. Among 12361 SaaS brands analyzed, DistributeAI ranks in the 52nd percentile (category average 69, leader 97). 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. Dimension scores: Name Quality 82/100, Digital Presence 76/100, Visual Identity 80/100, Messaging Clarity 95/100, Trust Foundation 67/100, AI Discoverability 79/100, Brand Authority 36/100.
DistributeAI (distribute.ai), founded in 2020, is a distributed compute network operating as a SaaS and technology platform. It connects compute providers to consumers for running curated open-source AI models. Positioned as an all-in-one AI application layer, it enables developers and businesses to build and deploy AI applications by offering scalable, globally distributed compute infrastructure aimed at reducing costs and maximizing uptime.
| Brand Name | DistributeAI |
|---|---|
| Domain | distribute.ai |
| Industry | SaaS, Technology |
| Founded | 2020 |
| Main Competitors | Vast.ai, CoreWeave (82/100), Together AI, Replicate, Lambda Labs, Akash Network |
Moz Domain Authority 22/100 vs category average 28 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #116,350 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "DistributeAI is a distributed compute network that connects providers to consumers for running curated open-source models." (Meta description: 16 words (ideal length). 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, canonical. 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.
Social footprint: verified profiles on LinkedIn, Instagram, GitHub; no detected presence on X (Twitter), Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
DistributeAI scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
DistributeAI has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (66/100) and its weakest is trust (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #116,350 (Tranco) 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 22/100 and thin schema.org structured data.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
DistributeAI's main competitors include Vast.ai, CoreWeave (82/100), Together AI, Replicate, Lambda Labs. These companies compete in the SaaS space for similar customers, offering comparable products or services.
Sources: DistributeAI official site
DistributeAI and CoreWeave are competitors in SaaS. Brand Analyzer scores DistributeAI at 70/100 and CoreWeave at 82/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: DistributeAI official site
Popular alternatives to DistributeAI include Vast.ai, CoreWeave (82/100), Together AI, Replicate, Lambda Labs. Each is an established option in the SaaS space; the best fit depends on your specific needs, budget, and required features.
Sources: DistributeAI official site
DistributeAI has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 28, trust 22, recommendation 66). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: DistributeAI official site
DistributeAI was founded in 2020. DistributeAI operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
DistributeAI is a distributed compute network and SaaS platform founded in 2020. It functions as an all-in-one AI application layer that connects compute providers to consumers, enabling users to run curated open-source AI models through a globally distributed infrastructure. It is designed to allow AI developers and businesses to build and deploy AI applications with scalability, reduced costs, and high uptime.
Sources: DistributeAI official site
DistributeAI connects compute providers to consumers through a globally distributed network, enabling the deployment and running of curated open-source AI models. It allows AI developers and businesses to build and deploy AI applications without infrastructure limitations by scaling effortlessly, reducing operational costs, and maximizing uptime through its distributed compute architecture.
Sources: DistributeAI official site
DistributeAI scores 66/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: DistributeAI official site
DistributeAI 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: DistributeAI official site
Based on available information, DistributeAI offers a distributed compute network platform that serves as an AI application layer. Its core service connects compute providers to consumers for running curated open-source AI models. The platform is designed to enable scalable AI application building and deployment with features oriented around cost efficiency and maximized uptime through a globally distributed network.
Sources: DistributeAI official site
DistributeAI targets AI developers, compute providers, and consumers who require scalable compute resources for running open-source AI models. Its platform is suited for individuals and organizations looking to build and deploy AI applications without infrastructure constraints, benefiting from a globally distributed compute network.
Sources: DistributeAI official site
DistributeAI is known for operating a globally distributed compute network that links providers and consumers for running curated open-source AI models. It is positioned as an all-in-one AI application layer emphasizing scalability, cost reduction, and high availability for AI application development and deployment.
Sources: DistributeAI official site
Ranked closest to DistributeAI: Digiteka (70/100), DigitalGenius (70/100), DivorceMate (70/100), DocuDriven (70/100).
A step up - brands to learn from: ZyG (71/100), Zuant (71/100).
Category leader: Accenture (97/100).