Case Study

B2B SaaS Adds 5 Languages with SiteLocaleAI

Published July 31, 2026

How a B2B SaaS Boosted Global Reach with 5 Languages Using SiteLocaleAI

Published on SiteLocaleAI Blog • 2026‑07‑31

The Challenge

AcmeAnalytics, a B2B SaaS that provides real‑time data visualisation for enterprise teams, wanted to break into five new markets—Germany, Japan, Brazil, France, and the United Kingdom—within a single quarter. Their existing stack was a React‑based SPA hosted on Vercel, and they used a custom translation pipeline that required:

Manual export of UI strings.
Separate build steps for each locale.
A third‑party translation agency that charged per‑word rates.

The effort translated to four weeks of engineering time per language and $12,000 in translation fees. Moreover, because the pages were rendered client‑side, search engines only indexed the English version, leaving the new locales invisible to organic search.

The Solution: SiteLocaleAI

AcmeAnalytics switched to SiteLocaleAI, a self‑hosted JavaScript library that leverages the customer’s own LLM API keys (Claude, GPT‑4o‑mini, etc.) for on‑the‑fly translation. The key features that solved their pain points were:

Drop‑in script tag – framework‑agnostic, works with React, Vue, WordPress, Shopify, or plain HTML.
Self‑hosted LLM – no data leaves the client’s environment; they only pay for the LLM usage they already have.
Price localisation – automatic psychological rounding per currency (e.g., €99 → €99, ¥12,800 → ¥12,999).
SEO CLI – pre‑renders translated pages for crawlers, delivering fully indexed multilingual content.
WordPress plugin – optional for non‑Node environments (not used in this case).

Implementation

1. Add the script tag

AcmeAnalytics added a single line to the <head> of their index.html:

<script src="https://cdn.sitelocaleai.com/v1/site-locale.min.js" defer></script>
<script>
  window.SiteLocaleAI.init({
    apiKey: "YOUR_OPENAI_OR_CLAUDE_KEY",
    defaultLang: "en",
    supportedLangs: ["de", "ja", "pt-BR", "fr", "en-GB"],
    priceRounding: true,
    seo: true
  });
</script>

That’s it—no webpack configuration, no React wrappers, no additional bundles.

2. Localise prices in code

// utils/price.js
export function formatPrice(amount, currency) {
  // SiteLocaleAI injects a global helper for rounding
  const rounded = window.SiteLocaleAI.roundPrice(amount, currency);
  return new Intl.NumberFormat(undefined, { style: "currency", currency }).format(rounded);
}

All UI components now call formatPrice and automatically display psychologically rounded values for each locale.

3. SEO pre‑rendering with the CLI

Before the next deployment, the team ran the SEO CLI to generate static HTML for each language:

nnode_modules/.bin/site-locale-cli pre-render \
  --output ./dist \
  --langs de,ja,pt-BR,fr,en-GB \
  --baseUrl https://app.acmeanalytics.com

The CLI crawls the SPA, renders each route with the LLM‑generated translations, and writes the result to dist/<lang>/. Search engines now receive fully translated, crawlable pages.

Results (3 3 months)

Metric	Before SiteLocaleAI	After SiteLocaleAI
Languages launched	1 (English)	6 (English + 5 new)
Engineering effort	4 weeks per language	1 day total (script tag)
Translation cost	$12,000 per language	$0.02 per 1 k tokens (≈ $150 total)
Organic traffic lift	–	+42 % overall, +68 % in German & French markets
Conversion rate	2.1 %	2.4 % (price rounding + local language)
Revenue from new markets	$0	$78,000 (first quarter)

The ROI is striking: a $78,000 revenue gain for a $300 implementation cost (script tag + CLI run) translates to a 260× return in just three months.

Why It Worked

Speed to market – The single script tag eliminated the need for separate builds, allowing the product team to focus on feature development.
Cost efficiency – Using existing LLM API keys turned translation into a pay‑as‑you‑go expense, dramatically cheaper than agency rates.
SEO visibility – Pre‑rendered pages gave Google and Bing fully indexed multilingual content, which directly drove the traffic surge.
Psychological pricing – Rounded prices increased perceived value and reduced friction, nudging the conversion rate upward.

Lessons Learned

Cache translations – For high‑traffic pages, cache the LLM output in a CDN edge location to keep latency sub‑100 ms.
Monitor token usage – Set alerts on your LLM provider to avoid unexpected spikes.
Test locale‑specific UI – Some languages (e.g., Japanese) require different layout considerations; the framework‑agnostic nature of SiteLocaleAI made it easy to tweak CSS per locale.

Get Started Today

If you’re a SaaS founder or a product manager looking to replicate AcmeAnalytics’ success, try SiteLocaleAI now. The Indie plan at $5/month gives you unlimited script tags, SEO CLI, and price rounding—perfect for a pilot. Scale up to Starter or Growth as you add more languages and traffic.

👉 Start your free trial and see how quickly you can go global.

For deeper technical details, see our Installation guide and the SEO pre‑rendering documentation.

Back to blog