Complete micro-frontends solution for any framework
qiankun (umijs.org) scores 61 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 8th percentile of 21967 SaaS brands.
qiankun is an open-source micro-frontend framework developed under the umijs.org ecosystem. It provides a comprehensive solution for building micro-frontend systems, allowing developers to integrate multiple JavaScript frameworks within a single application as easily as using an iframe, but without the drawbacks associated with iframes. It targets frontend developers and engineering teams working on large-scale, multi-framework web applications who need to modularize and combine independently developed frontend projects.
| Brand Name | qiankun |
|---|---|
| Domain | umijs.org |
| Industry | SaaS, Technology |
| Main Competitors | single-spa, Webpack Module Federation, Garfish, Piral (76/100), Luigi (69/100) |
Moz Domain Authority 29/100 vs category average 36 / 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 "To provide the most complete micro-frontends solution that lets developers build micro-frontend systems as easily as using an iframe, without iframe's drawbacks." (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: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on GitHub, Facebook, Instagram; no detected presence on X (Twitter), LinkedIn, 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 September 2026.
When asked "What is qiankun?", Claude could identify the brand as of September 2026. qiankun is an open-source micro-frontends framework built on top of single-spa, developed by the Umi team at Ant Group, used to combine multiple independent frontend applications into a single cohesive app. Best known for Being a popular JavaScript micro-frontend framework for integrating multiple SPAs into one application.
When asked "Best brands similar to qiankun?", Claude would not surface qiankun as of September 2026. It's not a SaaS product but an open-source frontend framework, so it wouldn't fit a request for SaaS company recommendations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
qiankun's main competitors in SaaS: Piral (76/100), Luigi (69/100).
Sources: Brand Analyzer scan
qiankun has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 15, recommendation 30). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: qiankun official site
qiankun scores 30/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: qiankun official site
qiankun is an open-source micro-frontend framework hosted under the umijs.org project. It offers a comprehensive solution for building micro-frontend architectures, enabling developers to combine multiple independently built frontend applications, potentially written in different JavaScript frameworks, into a single cohesive application.
Sources: qiankun official site
qiankun enables developers to build micro-frontend systems by integrating multiple independently developed frontend projects into one application. It provides the simplicity of using an iframe for isolation and integration while avoiding iframe's limitations, such as poor performance, lack of shared state, and difficult communication between frames.
Sources: qiankun official site
qiankun 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: qiankun official site
qiankun offers a micro-frontend framework and associated tooling that allows developers to build micro-frontend systems, integrating independently developed frontend applications into a unified application, regardless of the JavaScript framework used.
Sources: qiankun official site
qiankun is known for being a framework-agnostic micro-frontend solution that simplifies the integration of multiple JavaScript frameworks within a single application, replicating the ease of use of iframes without their common drawbacks.
Sources: qiankun official site
qiankun is used by frontend developers and engineering teams building large-scale, multi-framework web applications who need to modularize and integrate independently developed frontend projects into a single cohesive system.
Sources: qiankun official site
qiankun scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
qiankun 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 (30/100) and its weakest is trust (15/100). It benefits from a Wikidata knowledge-graph entry 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 29/100 and thin schema.org structured data. In a live check, Claude could already identify qiankun from memory (September 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.
61 in September 2026, level with 61 in September 2026.
Ranked closest to qiankun: Bowtie (61/100), True Tech Systems (61/100), Universera Tools (61/100), Unwaffle (61/100).
A step up - brands to learn from: Zocket (71/100), ZeroTrusted.ai (71/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.