好きを学びに、社会とつながる
Robo-done (robo-done.com) scores 74 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Technology brands, in the 41st percentile of 20215 Education brands.
Robo-done (ロボ団) is a Japanese robot programming school for children from kindergarten age (年長) through elementary school. It uses an original curriculum built around LEGO® Education SPIKE™ Prime kits and a pair-learning teaching method. The school has received multiple awards and has participants with results in world competitions. Its stated aim is to nurture children's curiosity and perseverance through robotics and programming education, while also developing thinking skills, problem-solving ability, and collaboration skills, without requiring families to purchase robot kits themselves.
| Brand Name | Robo-done |
|---|---|
| Domain | robo-done.com |
| Industry | Education, Technology |
| Main Competitors | Crefus, LITALICO Wonder, Tech Kids School (54/100), QUREO (53/100), ProgLab (プログラボ) (69/100) |
Moz Domain Authority 39/100 vs category average 48 / leader 99 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #4,463,333 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 "年長・小学生からはじめるロボットプログラミング教室ならロボ団。数々のアワード受賞や世界大会実績あり。レゴ社開発の「レゴ®エデュケーション SPIKE™ プライム」を使ったオリジナル教材で子どもの好きを学びにつなげ、好奇心とやり切る力を育みます。" (Meta description too short (3 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Breadcrumb/Website schema, 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.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on YouTube, Facebook, X (Twitter), Instagram, GitHub; no detected presence on LinkedIn - 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 Robo-done?", Claude could not identify the brand as of October 2026. I don't recognize Robo-done, likely because it's a small or new education company without much presence in my training data.
When asked "Best brands similar to Robo-done?", Claude would not surface Robo-done as of October 2026. I can't vouch for or recommend a company I have no verified information about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Robo-done's main competitors in Education: Tech Kids School (54/100), QUREO (53/100), ProgLab (プログラボ) (69/100).
Sources: Brand Analyzer scan
Robo-done has low AI-search visibility, scoring 22/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 33, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Robo-done official site
Robo-done offers robot programming classes for children from kindergarten age through elementary school. The core offering is an original curriculum built on LEGO® Education SPIKE™ Prime kits, delivered through a pair-learning teaching method. Children learn to build and program robots while developing thinking skills, problem-solving ability, and collaboration skills, without needing to purchase their own robot equipment.
Sources: Robo-done official site
Robo-done scores 48/100 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: Robo-done official site
Robo-done (ロボ団) is a Japanese robot programming school designed for children starting from kindergarten age (年長) through elementary school. It teaches robotics and programming using an original curriculum built around LEGO® Education SPIKE™ Prime kits, combined with a pair-learning method where children work together on projects.
Sources: Robo-done official site
Robo-done operates robot programming classes for young children, teaching them to build and program robots using LEGO® Education SPIKE™ Prime kits. It provides original teaching materials and a pair-learning approach so that children learn alongside peers without their families needing to purchase robot equipment themselves. The program aims to develop children's thinking skills, problem-solving ability, and collaborative skills through hands-on robotics and coding activities.
Sources: Robo-done official site
Robo-done 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: Robo-done official site
Robo-done is known for its award-winning robot programming curriculum for young children and for participants achieving results in international robotics competitions. It is also recognized for using LEGO® Education SPIKE™ Prime kits as the basis of its original teaching materials and for its pair-learning instructional approach.
Sources: Robo-done official site
Robo-done is used by parents of children from kindergarten age (年長) through elementary school who are interested in enrolling their children in robotics and programming education. It also serves children themselves who have an interest in programming and robotics and want to develop problem-solving and collaborative skills through hands-on learning.
Sources: Robo-done official site
Robo-done scores 22/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Robo-done has a weak AI-visibility profile at 22/100 - 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 (0/100). It benefits from a global traffic rank of #4,463,333 (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, no strong Wikidata entry and a low Moz Domain Authority of 39/100. In a live check (October 2026), Claude could not identify Robo-done 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 Robo-done: Robbins Schwartz (74/100), RMIT Online (74/100), Romana's Pilates (RPI) (74/100), Rosa-Luxemburg-Stiftung (74/100).
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.