Record and share engineering knowledge
Qiita (qiita.com) scores 84 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Technology brands, SaaS brands, Media & Entertainment brands, in the 86th percentile of 53720 Technology brands.
Qiita is a Japanese online platform launched in 2011 where software engineers and developers record, share, and discover programming knowledge, tips, and best practices. It functions as a community-driven knowledge base focused on technical topics, allowing users to publish articles and insights related to coding and software development. The service targets tech professionals seeking to document and exchange practical programming experience within the Japanese-speaking developer community.
| Brand Name | Qiita |
|---|---|
| Domain | qiita.com |
| Industry | Technology, SaaS |
| Founded | 2011 |
| Main Competitors | Zenn, Stack Overflow (93/100), dev.to (88/100), GitHub Gist, Medium (80/100), Hatena Blog (77/100) |
Moz Domain Authority 87/100 vs category average 39 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #7,979 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
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 "Qiitaは、エンジニアに関する知識を記録・共有するためのサービスです。 プログラミングに関するTips、ノウハウ、メモを簡単に記録 & 公開することができます。" (Meta description too short (4 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.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx, Vue.
Social footprint: verified profiles on GitHub, X (Twitter), Facebook, YouTube, Instagram; 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 Qiita?", Claude could identify the brand as of October 2026. Qiita is a Japanese online platform where software engineers share technical knowledge, tutorials, and code snippets, similar in spirit to Stack Overflow or Medium but focused on the Japanese developer community. Best known for Being Japan's leading knowledge-sharing platform for programmers and engineers.
When asked "Best brands similar to Qiita?", Claude would recommend Qiita as of October 2026. It's a well-known and widely used resource among Japanese developers, so I'd mention it if someone asked about developer community or knowledge-sharing platforms, especially in a Japan-related context.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Qiita's main competitors in Technology: Stack Overflow (93/100), dev.to (88/100), Medium (80/100), Hatena Blog (77/100).
Sources: Brand Analyzer scan
Qiita is a Japanese online community and knowledge-sharing platform for software engineers, launched in 2011. It allows users to record and publish programming-related tips, know-how, and notes, serving as a collaborative repository of technical knowledge for the developer community in Japan.
Sources: Qiita official site
Qiita has limited AI-search visibility, scoring 49/100 on Brand Analyzer's AI visibility composite (visibility 30, trust 55, recommendation 76). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Qiita official site
Qiita was founded in 2011. Qiita operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Qiita enables engineers to write, publish, and share articles about programming topics, including tips, tutorials, and technical notes. It provides tools for documenting coding knowledge and allows other users to read, comment on, and learn from shared content, fostering a collective knowledge base for software development.
Sources: Qiita official site
Qiita offers a web-based platform for engineers to write, publish, and browse articles on programming topics. Its core service includes article creation and publishing tools, a searchable knowledge repository, and community features that allow users to engage with and discover technical content shared by other developers.
Sources: Qiita official site
Qiita scores 76/100 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.
Sources: Qiita official site
Qiita is known for being a leading Japanese-language platform where engineers share programming tips, tutorials, and technical know-how. It has built a reputation as a central hub for Japanese developers to document and exchange practical coding knowledge and solutions to technical problems.
Sources: Qiita official site
Qiita 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: Qiita official site
Qiita is used by software engineers, developers, and tech professionals, primarily in Japan, who want to document, share, and discover programming knowledge, coding tips, and best practices. It serves as a resource for both experienced engineers sharing expertise and newer developers seeking practical technical guidance.
Sources: Qiita official site
Qiita is popular because it provides a simple, accessible platform tailored specifically to Japanese-speaking engineers for documenting and sharing programming knowledge. Its focus on practical tips, tutorials, and real-world coding experience has made it a go-to resource for the Japanese developer community seeking peer-created technical content.
Sources: Qiita official site
Qiita scores 49/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Qiita has a limited AI-visibility profile at 49/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (76/100) and its weakest is visibility (30/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #7,979 (Tranco) and a Moz Domain Authority of 87/100. 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, Claude could already identify Qiita 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 Qiita: Qase (84/100), Q4 Inc. (84/100), QliqSOFT (84/100), Qmerit (84/100).
A step up - brands to learn from: Zuken (91/100), Zoom (91/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.