Case Study

B2B SaaS Boosts Global Reach with 5 Languages via One Script

Published October 26, 2026

B2B SaaS Boosts Global Reach with 5 Languages via One Script

How a B2B SaaS Boosted Global Reach with 5 Languages via One Script

Published on SiteLocaleAI Blog

Introduction

When Acme Analytics, a B2B SaaS platform for data visualisation, decided to target Europe and Asia, they faced a classic dilemma: how to translate the entire site quickly, keep pricing accurate, and stay SEO‑friendly without blowing up engineering resources. Traditional translation pipelines required separate builds for each locale, manual price adjustments, and a costly third‑party SaaS. The solution? SiteLocaleAI’s self‑hosted JavaScript library.

In this case study we walk through the implementation, the numbers that matter, and the ROI that convinced Acme’s leadership to roll out the strategy to all future products.


The Challenge

Pain Point Traditional Approach Cost / Time Impact
Multi‑language UI Separate React builds per locale 2‑3 weeks per language
Price localisation Manual CSV updates, rounding errors $5k per quarter
SEO indexing Server‑side rendering only for English 70% of traffic from English only
Engineering overhead Node.js build scripts, CI pipelines 2 FTEs dedicated to localisation

Acme needed a solution that worked with any framework (React, Vue, WordPress, Shopify), used their own LLM API keys, and required no extra server infrastructure.


Why SiteLocaleAI?

  • Drop‑in script – a single <script src="https://cdn.sitelocaleai.com/v1.js"></script> tag works everywhere.
  • Self‑hosted LLM – Acme kept their Claude and GPT‑4o‑mini keys, preserving data privacy and cost control.
  • Psychological price rounding – automatic rounding to the nearest 0.99, 0.95, etc., per currency.
  • CLI pre‑render for SEO – static HTML for each locale is generated at build time, letting Google index fully translated pages.
  • WordPress plugin – for their blog, no Node.js required.

Implementation Timeline

Week Milestone
1 Add the script tag to the main HTML template.
2 Configure siteLocaleConfig with supported languages and LLM API keys.
3 Run the SEO CLI to pre‑render the homepage and key landing pages.
4 Deploy to staging, run QA on UI text and price rounding.
5 Go live on all five locales (EN, ES, FR, DE, JP).

The entire rollout took 5 weeks and no additional developer headcount.


Code Snapshot

<!-- index.html (head) -->
<script src="https://cdn.sitelocaleai.com/v1.js"></script>
<script>
  window.siteLocaleConfig = {
    apiKey: "YOUR_CLAUDE_OR_GPT4O_MINI_KEY",
    languages: ["en", "es", "fr", "de", "jp"],
    defaultLang: "en",
    priceRounding: {
      usd: 0.99,
      eur: 0.95,
      gbp: 0.99,
      jpy: 1,
    },
    seo: { preRender: true }
  };
</script>

The CLI command that generates SEO‑friendly static pages:

n install -g @sitelocaleai/cli
sitelocaleai pre-render --output ./dist --langs en,es,fr,de,jp

For WordPress users, the plugin simply reads the same configuration from wp-config.php and injects the script automatically.


Results (3‑Month Window)

Metric Before After Δ
Organic traffic 120k visits/mo 174k visits/mo +45%
Conversion rate 2.1% 2.5% +19%
Translation cost $12,000 (agency) $3,600 (LLM API) ‑70%
Engineering time 2 FTEs (full‑time) 0.3 FTE (maintenance) ‑85%
Revenue from new locales $0 $68k +$68k

The SEO CLI ensured that each language version had its own <title> and <meta description>, which Google indexed within days. The price rounding feature increased checkout completion in Japan by 12% because the displayed prices felt “psychologically right”.


Lessons Learned

  1. Start with a pilot page – the homepage gave the biggest SEO lift. Extend to product pages later.
  2. Cache LLM responses – use a CDN edge cache for translated strings to keep latency under 150 ms.
  3. Leverage the price‑rounding rules – they reduce cart abandonment without manual spreadsheet work.
  4. Monitor crawl stats – Google Search Console showed a 30% increase in indexed pages after the pre‑render step.

How You Can Replicate This Success

  1. Add the script tag to your site’s <head>.
  2. Configure the JSON with your LLM keys and target languages.
  3. Run the SEO CLI to generate static, translated HTML for the pages you want indexed.
  4. Deploy and watch the traffic numbers climb.

For a step‑by‑step guide, see the Quick‑Start docs and the SEO pre‑render guide.


Ready to Go Global?

If a single script tag can unlock new markets, cut translation spend, and boost SEO, imagine what it can do for your product. Try SiteLocaleAI today – the Indie plan starts at just $5/month, and you keep full control of your LLM keys.

Happy translating!