SSR

SSR (server-side rendering) generates HTML each time a request arrives, making it suitable for pages with high real-time data requirements, but server overhead is relatively high.

AI crawlers process pages within strict time budgets and are unfriendly to client-side-rendered (CSR) single-page applications; with a pure CSR architecture and no SSR or prerendering, crawlers may only get an empty mount node.

SSR (Selection-based Structured Reasoning) proposes a paradigm shift: instead of letting the model freely generate the reasoning process, it lets the model choose from preset reasoning candidates.

This research currently presents the design at the SSR framework level, and how to build the candidate set, how to optimize the selection strategy, and the actual performance on different multimodal search tasks still await further verification.

SSR's candidate set design philosophy is close to the retrieval idea in retrieval-augmented generation (RAG), namely pre-building a reasoning candidate library so the model retrieves and selects the best-matching candidate based on the current situation rather than generating from scratch.

SSR abstracts recurring high-level reasoning patterns into a predefined, reusable set of natural language candidates, and the model selects the most suitable reasoning path from the candidate list in each round of interaction.

SSR (server-side rendering) or static generation (SSG) is a win-win infrastructure investment for both SEO and AI visibility.

For client-side rendered sites such as React and Vue, the initial HTML may contain only an empty shell, requiring server-side rendering (SSR), static generation (SSG), or prerendering to expose the core content.

SSR means HTML is generated in real time by the server on each request; SSG generates HTML at build time that can be distributed by a CDN; prerendering means running a headless browser at build time over the routes of an SPA without SSR capability and freezing the results into static HTML — the common point of all three is that the initial response body the AI crawler receives already contains the full text.

Lovable has recently added support for server-side rendering (SSR), enabling generated applications to achieve better search engine rankings than before.

Unlike traditional SSR, RSC does not send HTML strings but instead sends a special React component tree description that supports partial client-side updates.

The official recommendation is for developers to perform targeted regression testing on SSR scenarios (especially those involving streaming responses) after upgrading, as changes to the build output module format may expose compatibility issues in edge cases.

The advantages of the SSR architecture are particularly pronounced when accessing remotely via VPN or browsing on lower-performance terminals such as tablets and mobile phones.

SSR 指在服务器端将组件渲染为完整 HTML 字符串返回浏览器后再通过水合过程绑定交互逻辑，SSG 则在构建时预先生成所有页面的 HTML 文件