Case Study: Nuxt.js Marketing Site Goes Global Overnight

Client: TechStartups.io – a SaaS landing page built with Nuxt.js, targeting English‑speaking markets.

Goal: Launch multilingual versions (EN, ES, FR, DE, JA) with localized pricing and SEO‑friendly pre‑rendered pages, all without hiring translators or rebuilding the site.

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1. The Challenge

TechStartups.io needed to:

1. Translate all copy, UI strings, and meta tags.
2. Adjust product prices to local currencies using psychological rounding (e.g., $9.99 → €8.95).
3. Ensure search engines index the translated pages, not just the default English version.
4. Keep the solution self‑hosted – the client wanted to use their own LLM API keys (OpenAI, Anthropic, etc.) for data privacy and cost control.

Traditional translation workflows would have required weeks of manual effort, separate builds per language, and costly third‑party services. The team turned to SiteLocaleAI, a framework‑agnostic, drop‑in JavaScript library that meets all those needs.

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2. Solution Overview

SiteLocaleAI offers:

• One‑config‑file setup – a single siteLocale.config.js that drives translation, price localization, and SEO pre‑rendering.
• Self‑hosted LLM integration – you provide your own API key, so you stay in control of costs and data.
• CLI for SEO pre‑rendering – generates static HTML for each language, letting crawlers see fully translated content.
• Framework‑agnostic – works with Nuxt.js, React, Vue, WordPress, Shopify, etc.

The implementation took under 2 hours.

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3. Implementation Steps

3.1 Install the library

npm i @sitelocaleai/js

No Node.js is required on the production server; the library runs in the browser and during the CLI build.

3.2 Create a single config file

// siteLocale.config.js
export default {
  // Default language of the source site
  defaultLang: 'en',
  // Target languages (ISO‑639‑1 codes)
  languages: ['en', 'es', 'fr', 'de', 'ja'],

 // LLM API key – can be Claude, GPT‑4o‑mini, etc.
  apiKey: process.env.SITELOCALE_API_KEY,
  // Choose the model you prefer
  model: 'gpt-4o-mini',
  // Price rounding rules per currency (psychological pricing)
  rounding: {
    USD: 0.99,
    EUR: 0.95,
    GBP: 0.99,
    JPY: 0, // round to nearest whole yen
    CAD: 0.99,
  },
  // Optional: custom prompt for brand‑specific tone
  prompt: 'Translate with a friendly, tech‑savvy voice.',
};

The config lives at the project root and is automatically picked up by both the runtime library and the CLI.

3.3 Wrap the app with the provider

// plugins/siteLocale.js (Nuxt 3)
import { createSiteLocale } from '@sitelocaleai/js';
import config from '@/siteLocale.config.js';

export default defineNuxtPlugin(() => {
  const locale = createSiteLocale(config);
  return {
    provide: {
      locale,
    },
  };
});

In any component you can now use useLocale() to fetch translations or format prices.

<template>
  <h1>{{ $locale.t('hero.title') }}</h1>
  <p>{{ $locale.formatPrice(product.price, 'USD') }}</p>
</template>

3.4 Generate SEO‑ready static pages

npx sitelocale seo --output ./dist

The CLI:
1. Calls the LLM for each language, respecting the rounding rules.
2. Rewrites meta tags (<title>, <meta description>) per locale.
3. Emits a static HTML file per language (/es/index.html, /fr/index.html, …).

Search engines now crawl fully rendered, language‑specific pages rather than relying on client‑side JavaScript.

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4. Results (30‑Day Snapshot)

Metric	Before	After (30 days)
Organic sessions	1,200	3,800 (+217 %)
Avg. session duration	00:01:45	00:02:30
Bounce rate	58 %	42 %
Conversion rate (sign‑ups)	2.1 %	4.5 %
Revenue from non‑English markets	$0	$12,400

The traffic boost came primarily from Google indexing the pre‑rendered Spanish and French pages. Price localization increased conversion in Japan and Germany, where the rounded yen and euro amounts felt more “natural”.

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5. Why SiteLocaleAI Was the Perfect Fit

• Speed: One config file, no per‑language code duplication.
• Cost control: The client used existing OpenAI credits; no additional translation vendor fees.
• SEO advantage: Static HTML for each locale satisfies Google’s indexing guidelines.
• Scalability: Adding a new language later is as simple as appending a code to the languages array and re‑running the CLI.

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6. Lessons Learned & Best Practices

1. Keep prompts concise – a short tone instruction ('Translate with a friendly, tech‑savvy voice.') yields consistent results across languages.
2. Validate price rounding – test a few sample prices manually before bulk generation to ensure the rounding logic matches local expectations.
3. Leverage the CLI for SEO – always run npx sitelocale seo before deploying to a CDN; it guarantees crawlers see the translated content.
4. Monitor crawl stats – use Google Search Console to verify that each language URL is being indexed.

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7. Next Steps for Other Teams

If you’re running a Nuxt.js (or any other) site and want to replicate this success, start with the Installation guide and the SEO pre‑rendering docs:
- https://sitelocaleai.com/docs/installation
- https://sitelocaleai.com/docs/seo-pre-rendering

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8. Try It Yourself

Ready to launch your multilingual site in hours, not weeks? Try SiteLocaleAI today and see how instantly can boost international traffic, conversions, and revenue.