How do LLM answers differ by language and region?
The language barrier that is not a barrier
You are a Dutch employer also recruiting in Germany. Your careers page is translated, your vacancies are localised. Done, right?
Not for AI.
LLMs generate different answers depending on the language of the query, the user's location, and the resources available in that language. A candidate asking about employers in German will get different results from someone asking in Dutch, even if it is about the same company.
Why language and region matter
Research shows that “Two people in the same location with the same prompt can get different business results” variability is built into LLM systems. Add language differences, and the divergence increases.
The causes:
- Training data bias: LLMs are trained on more English-language than Dutch- or German-language content
- Source availability: Glassdoor, Indeed and LinkedIn have different coverage by country
- Cultural context: What “good employer” means varies by culture
- Local platforms: German candidates use Kununu, Dutch use Glassdoor
The multi-market strategy
| Aspect | Netherlands | Germany | International (EN) |
|---|---|---|---|
| Review platform | Glassdoor NL | Kununu | Glassdoor, Indeed |
| Show | Direct, informal | More formal, detailed | Professional, accessible |
| Focus | Work-life balance, atmosphere | Security, career path | Growth, impact |
| Content-type | Informal videos, blogs | Detailed articles | Case studies, data |
Practical localisation for AI
1. Native content, not just translation
Translated content feels translated, for humans and for AI. Create native content by market:
- Employee stories from local employees
- Thought leadership on local market trends
- FAQs answering local questions
2. Platform-specific presence
Be present where local candidates are looking:
- Germany: Kununu, XING, LinkedIn DE
- Netherlands: Glassdoor NL, LinkedIn NL, Indeed NL
- Belgium: LinkedIn BE, StepStone
3. Encourage local reviews
AI systems weigh local reviews heavily. A German candidate asking in German is more likely to get German Kununu reviews than Dutch Glassdoor reviews.
4. Consistency with local nuance
Your core message should be consistent, but the execution local. “We offer autonomy” becomes “Eigenverantwortung und klare Strukturen” the same value, different framing in Germany.
The audit by language
Test your AI visibility by language:
- Ask the same question in Dutch, German, and English
- Compare: are you mentioned in all languages?
- Analyse: which sources are cited for each language?
- Identify: where are the gaps?
Practical steps
This week:
- Conduct a multilingual AI audit for your key markets
- Document differences in visibility by language
This month:
- Identify key local platforms by market
- Start native content creation for your #1 international market
This quarter:
- Build local review presence (Kununu, local Glassdoor)
- Publish at least 3 native content pieces per market
The bottomline
International employer branding in the AI era is more than translation. It is localising, not just the words, but the platforms, the tone, and the content.
The employers who win internationally are those who understand that a German candidate asking in German expects a German answer - with German sources, German nuances, and German relevance.
Next article
In the next article, we dive into diversity & inclusion: How to make sure your D&I story is correctly represented by LLMs and why data wins over vague claims.
This article is part of a series on GEO and employer branding.
Sources:
- LinkedIn, “Global Recruiting Trends: Regional Differences” (2024)
- Glassdoor, “International Employer Brand Perception Study” (2024)
- Kununu, “Employer Branding in DACH Region Report” (2025)