In this article: how Multify differs from Linguise for Tilda — dynamic content translation, SEO, URL structure, operational stability, and when each option makes sense.
Linguise is actively promoted for queries like "Tilda" and "multilingual websites". This seems like a good option for website translation. But is it really?
How does Linguise work for translating a Tilda website? Let's break it down.
Linguise is a JS translator with a proxy mode. For most platforms, it works via a JavaScript script in the browser. For Tilda, the situation is similar to Weglot: the script runs after the page loads and translates what is already in the DOM.
This means limitations: Tilda's dynamic content (product catalog, forms with AJAX, widgets) may be translated partially or with a delay. Google sees the original page during initial indexing, not the translated version.
Comparison by Key Criteria
Translation Architecture
Linguise: Browser-side JavaScript. Content is translated after the browser loads the page.
Multify: Server-side proxy layer. Content is translated before the browser receives it. Google sees the translated page on the first request.
This is a fundamental difference that affects everything else.
Tilda Dynamic Content
Tilda loads some content dynamically: catalog, forms, some blocks. The Linguise JS script runs in the browser — by then, dynamic data may not yet be in the DOM, or appears later than the script finishes its traversal.
Multify intercepts the HTTP request on the server — it sees the full response from Tilda, including dynamically loaded content.
SEO
Linguise has an SEO mode that generates static versions of pages for search engines. This solves part of the indexing problem. But the implementation is more complex: separate setup is required, and dynamic Tilda blocks can still be an issue.
Multify delivers the translated page directly from the HTTP response. No additional setup is required for search engines.
URL Structure
Linguise: the language is passed via a subdomain or parameter. Folders are supported for some configurations.
Multify: creates folders (/en/, /de/) through a proxy layer. Tilda remains unchanged.
Trustpilot reviews for Linguise have reported cases of conflicts with plugins leading to website issues, and instances of lost manual translations. This is important to consider for client production sites where stability is critical.
Multify specializes in Tilda — the proxy architecture is less dependent on interactions with third-party scripts.
Hreflang
Both tools add hreflang. Multify generates it automatically for all pages, Linguise also has this functionality.
Brief Comparison of Features
Architecture: Multify uses a server-side proxy, while Linguise works via JS in the browser.
Tilda Dynamic Content: Multify fully supports it; Linguise only has partial support.
SEO: Multify works without additional settings. Linguise requires activation of a special SEO mode.
URL Structure: Multify always creates a clear folder structure (e.g., /en/). In Linguise, this depends on the configuration.
hreflang: Automatically generated in Multify. Also supported in Linguise.
Specialization: Multify is tailored for Tilda, whereas Linguise is a general platform for any website.
Let's show the difference on your website
Let's run a demo with Multify — everything will be translated: catalog, forms, Tilda dynamic content.
Linguise works better on simple static websites without dynamic Tilda blocks. If the landing page consists of text blocks without a catalog and forms, the JS translator will cope.
For websites with a catalog, forms, or blog, architectural limitations manifest as direct losses: part of the content is not translated, and the SEO result is worse.
Outcome
Linguise is a suitable tool for static websites. On Tilda with a catalog or forms, you will hit the same wall as with Weglot: part of the content simply won't be translated because the JS script doesn't have time to catch it.
Need a Linguise alternative for Tilda?
We will set up server-side translation with full coverage of dynamic content and a proper SEO structure.