体験から体系を。ディープラーニング勉強会
Study-AI (study-ai.com) scores 71 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Technology brands, in the 28th percentile of 20921 Education brands.
Study-AI (study-ai.com) is a Japanese educational organization focused on deep learning and AI technology training. It offers structured learning programs aligned with JDLA-certified qualifications such as G-kentei and E-shikaku, as well as the AI Implementation Test (AI実装検定). The platform targets working professionals, engineers, students, and corporate training managers in Japan who want to acquire AI and deep learning skills through experience-based, systematic education, progressing from beginner to practitioner level.
| Brand Name | Study-AI |
|---|---|
| Domain | study-ai.com |
| Industry | Education, Technology |
| Main Competitors | Aidemy (71/100), SIGNATE (69/100), Udemy (84/100), Coursera (95/100), Progate (84/100), Kikagaku (62/100), DataMix (69/100) |
Moz Domain Authority 35/100 vs category average 48 / leader 99 - 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 "体験から体系を。ディープラーニング勉強会" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:description, og:type. 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.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: Apache, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube, 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 October 2026.
When asked "What is Study-AI?", Claude could not identify the brand as of October 2026. I don't genuinely recognize Study-AI (study-ai.com) as a specific company, likely because it's a small or newer player in the crowded AI-education-tools space without a strong footprint in my training data.
When asked "Best brands similar to Study-AI?", Claude would not surface Study-AI as of October 2026. I can't vouch for or 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.
Study-AI's main competitors in Education: Aidemy (71/100), SIGNATE (69/100), Udemy (84/100), Coursera (95/100), Progate (84/100).
Sources: Brand Analyzer scan
Study-AI has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 11, trust 12, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Study-AI official site
Study-AI scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Study-AI official site
Study-AI 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: Study-AI official site
Study-AI offers educational programs and preparatory courses for JDLA-certified exams, including the G-kentei (Generalist certification) and E-shikaku (Engineer certification), as well as its own AI Implementation Test (AI実装検定). These offerings are structured to guide learners from foundational AI knowledge to more advanced, practical implementation skills.
Sources: Study-AI official site
Study-AI is a Japanese educational organization that provides systematic learning programs in deep learning and artificial intelligence. It focuses on preparing learners for JDLA-certified qualifications, including G-kentei (Generalist) and E-shikaku (Engineer) exams, as well as its own AI Implementation Test. The organization positions itself as a specialized training provider for AI skill development in Japan, emphasizing experience-based learning that builds toward structured, comprehensive understanding of AI concepts and techniques.
Sources: Study-AI official site
Study-AI provides structured educational programs and study sessions centered on deep learning and AI technologies. It helps learners prepare for Japan Deep Learning Association (JDLA)-certified exams such as G-kentei and E-shikaku, as well as the AI Implementation Test. The organization offers a progressive curriculum designed to take participants from beginner-level understanding to practical, applied AI skills through experiential and systematic teaching methods.
Sources: Study-AI official site
Study-AI is used by working professionals, engineers, students, and corporate training managers in Japan who want to learn AI and deep learning concepts or pursue related certifications. Its audience spans beginners seeking foundational AI literacy to practitioners aiming to deepen technical implementation skills for career or organizational purposes.
Sources: Study-AI official site
Study-AI scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Study-AI has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (11/100). It benefits from 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, no strong Wikidata entry and a low Moz Domain Authority of 35/100. In a live check (October 2026), Claude could not identify Study-AI 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 Study-AI: Student Expeditions (71/100), St. Thomas University (71/100), Study in NL (71/100), Society of St. Ursula (71/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.