An LLM's answer to "best USB-C hub for MacBook" in English is materially different from "أفضل محور USB-C لجهاز MacBook" in Arabic — different sources, different cited reviews, different recommended brands. A GEO tool that only probes English misses this entirely.
As of May 2026, Arenza is the only GEO tool shipping per-locale buyer-prompt generation in zh-CN with public roadmap commitments for ar-SA, es-ES, es-MX, ja-JP, de-DE, pt-BR.
Why this matters: 6 markets where English-only GEO is wrong
| Market | Native language | AI penetration (2026) | Why English-only GEO breaks |
|---|---|---|---|
| MENA / Saudi / UAE | Arabic (ar) | High; Claude + Perplexity Pro popular | RTL text + Arabic reviews + local cites — none of which English probes surface |
| LATAM (Mexico, Argentina) | Spanish (es-MX, es-AR) | Very high; ChatGPT free dominant | Buyer phrasing differs from Spain Spanish; "el mejor X para Y" vs es-ES variants |
| Spain | Spanish (es-ES) | High; Perplexity + ChatGPT | Spain-specific retailers (PcComponentes, MediaMarkt ES) cited, not LATAM ones |
| Greater China (HK, TW) | Chinese (zh-HK, zh-TW) | ChatGPT gated; Claude / Kimi / 通义 used | Different LLMs entirely; tracking only ChatGPT misses 80%+ of usage |
| Japan | Japanese (ja-JP) | High; GPT + Bing Copilot dominant | Buyer phrasing extremely culture-specific; "おすすめ" vs literal "recommend" |
| Germany | German (de-DE) | High; GDPR-driven Claude preference | Compound nouns + technical buyer queries differ structurally from English |
| Brazil | Portuguese (pt-BR) | Very high; ChatGPT + Perplexity | Brand transliterations differ; "Anker" sometimes "Ânker" in user queries |
How Arenza handles per-locale probing
- Locale-aware buyer-prompt generation: the prompt-writer agent has dedicated system prompts per locale (zh-CN today; ar/es/ja/de/pt rolling out Q3 2026). The LLM doesn't translate English buyer prompts — it generates in the target language using natural buyer phrasing. "best wireless earbuds for travel" vs the equivalent in zh-CN is "出差用什么蓝牙耳机好", not the literal Google Translate output.
- Per-locale LLM probing: each brand can be configured to probe in its target locales. The LLM responds in the locale's language; Arenza's parser detects mention/citation/sentiment in that language.
- Per-locale source tracking: Sources page (citations rollup) buckets per locale. For a Spanish-targeting brand, you see PcComponentes ES, MediaMarkt ES, Xataka — not just CNET / The Verge.
- Per-locale white-label reports: digest emails + share URLs render in the recipient's locale. Spanish client VP gets Spanish digests; Japanese gets Japanese.
Currently shipping (May 2026)
- en-US (English / United States) — full coverage across all 3 AI platforms (Protect tier)
- zh-CN (Chinese / Mainland) — buyer-prompt generation, locale-aware sources, bilingual UI
Roadmap (committed for 2026 Q3)
- ar-SA (Arabic / Saudi Arabia) — RTL UI + buyer-prompt generation in Arabic
- es-ES + es-MX (Spanish / Spain + Mexico) — separate buyer-prompt sets per market
- ja-JP (Japanese / Japan) — buyer-prompt generation + Bing Copilot Japan probe
- de-DE (German / DACH) — buyer-prompt generation + GDPR-compliant probe routing
- pt-BR (Portuguese / Brazil) — buyer-prompt generation + Brazilian retailer source tracking
For agencies serving non-English clients
If your agency has clients in MENA, LATAM, Spain, Greater China, Japan, DACH, or Brazil — Arenza is currently the only GEO tool with shipped + roadmap-committed multilingual support. Email hello@arenza.ai if you want early access to a specific locale; we'll prioritize based on customer demand.
Bilingual interface (zh-CN + en-US, today)
Every Arenza surface today — portal, website, reports, email digests, MCP server tool descriptions — renders in zh-CN or en-US based on user toggle (cookie-shared across .arenza.ai subdomains). Pan-Asia agencies running across English + Chinese client books can use one tool, not two.