Guide · Beginner
Location and Language Effects on AI Answers
AI answers often change with location and language. Engines use signals such as your IP address and interface language, retrieve local and same-language sources, and may recommend different brands in each market. To measure fairly, scan each important market separately with fixed location and language settings, and fix gaps with localised content and local sources.
Why do answers change by location?
- Location signals: Google says search can use your device location, IP address and past activity to estimate where you are (Google).
- Local sources: Retrieval draws on pages relevant to the market, such as local review sites, press and retailers.
- Local availability: Products, prices and regulations differ by country.
- Feature availability: AI features roll out market by market.
Where are AI Overviews available?
| Date | Google announcement |
|---|---|
| 28 Oct 2024 | AI Overviews expanding to more than 100 countries (Google) |
| 20 May 2025 | AI Overviews in more than 200 countries and territories, and more than 40 languages (Google) |
Availability keeps changing; check the latest announcements before planning a market scan. Other engines also vary in availability and in the sources they can access in each market.
Why does language matter?
Engines usually answer in the language of the prompt, and tend to retrieve and cite sources in that language. If you only publish in English, you may be missing from German, French or Spanish answers, even if you sell there.
Google supports localised versions with hreflang annotations (Google) and explains options for multi-regional and multilingual sites, including country-specific URLs (Google).
How do you run a multi-country scan?
- Choose markets by revenue or growth priority.
- Translate prompts properly: use native phrasing, not literal translation. Local buyers may use different terms.
- Fix settings: location (VPN or engine setting), interface language and signed-out state.
- Run repeated runs per prompt per market.
- Report per market: mention, citation and recommendation rates, and top competitors.
- Compare cited sources: which local sites drive answers?
What does a market comparison look like?
Illustrative structure, not real data.
| Market | Language | Recommendation rate | Top cited local source | Top competitor |
|---|---|---|---|---|
| Germany | German | [rate] | [site] | [brand] |
| UK | English | [rate] | [site] | [brand] |
| US | English | [rate] | [site] | [brand] |
How do you fix local gaps?
| Gap | Fix |
|---|---|
| No local-language page | Publish localised pages with hreflang (Google) |
| Missing from local review sites | Build presence on the review sites and directories cited in that market |
| Wrong local facts (pricing, availability) | Publish clear local pricing and availability |
| Local competitor dominates | Study their cited sources; earn coverage in local press |
| Feature not available yet | Monitor; prepare content for launch |
What about English in non-English markets?
Many B2B buyers search in English even in non-English countries. Test both: German prompts and English prompts from a German location. The answers and sources may differ. Report them as separate segments, because your English content might perform well with international buyers while local-language buyers see competitors.
How do you prioritise markets?
| Factor | Question | Weight |
|---|---|---|
| Revenue | How much do you sell there now? | High |
| Growth plan | Is it a target market for the next 12 months? | High |
| AI adoption | Are AI features available and used there? | Medium |
| Competition | Are local competitors strong in answers? | Medium |
| Content cost | Do you have native speakers to localise? | Practical limit |
Score each market and scan the top three to five first. Add more once your process is stable.
Which local facts do engines get wrong most often?
In multi-market answers, the most common risks are facts that differ by country:
- Prices and currencies
- Product availability and shipping regions
- Legal or compliance status, such as GDPR claims
- Local office addresses and support hours
- Local partners and resellers
Publish these clearly on localised pages, and keep them consistent with your Organization markup and profiles. Check them in each market's scan, as an answer can be correct in one country and wrong in another.
A quick example
Illustrative. A Berlin-based SaaS company is recommended often in US English prompts but rarely in German prompts. The cited German sources are local software review sites and trade publications where it has no presence. It publishes German landing pages with hreflang, collects reviews on two German review sites and pitches a trade publication. German recommendation rate rises over the next quarter.
What mistakes should you avoid?
- Scanning only from your own location
- Using machine-literal prompt translations
- Combining markets into one global number
- Relying on English content for every market
- Forgetting that availability differs by market
- Ignoring local review sites and press that engines cite in each country
- Changing VPN locations between runs without noting it in the log
Checklist
- [ ] Priority markets chosen
- [ ] Native-language prompts written for each
- [ ] Location and language fixed per scan
- [ ] Results reported per market
- [ ] Local cited sources mapped
- [ ] Localised pages with hreflang published
Related
Sources
- Google Search Help, Understand & manage your location when you search on Google
- Google, AI Overviews in Search are coming to more places around the world, 28 Oct 2024
- Google, AI Overviews expand to over 200 countries and territories, more than 40 languages, 20 May 2025
- Google Search Central, Tell Google about localized versions of your page
- Google Search Central, Managing multi-regional and multilingual sites
Questions
Do AI answers change by country?
Often. Engines use location signals such as IP address, retrieve local sources and may cite different brands for the same question.
Do I need content in each language?
For markets that matter, yes. Engines tend to cite sources in the language of the query, and Google supports hreflang to signal localised versions.
Are AI Overviews available everywhere?
Google said in May 2025 that AI Overviews were in more than 200 countries and territories and more than 40 languages; check current availability.