Global search has split in two. Most brands are only optimised for half of it.
Search engines still reward strong keyword targeting and technical SEO. But answer engines like ChatGPT, Gemini, and Google’s AI Overviews work differently. They respond to natural, conversational prompts, not short keywords.
If your multilingual content only speaks the old language of search, you lose visibility in the new one. Locaria treats GEO as an expansion of SEO, not a replacement for it.
Multilingual keyword research, done by people who search that way themselves
Every strategy starts with research carried out by in-market linguists, not a translated keyword list. They work from local search data:
- Baidu for mainland China
- Google for Germany
- Naver for South Korea
This is how we capture the terms your audience actually types, not the terms a direct translation would suggest. Accurate local research is what makes the rest of the strategy work.
Our SEO translators use that research to produce on-page copy, blog posts, and metadata built to local search engine standards from the start.
75+ languages, one strategy
We deploy multilingual SEO and GEO strategy at scale, across every major market you operate in.
From keywords to prompts
A traditional keyword might be “women’s trainers.” An AI prompt is closer to “which trainers should I pack for a summer holiday in Mexico.” Longer, more conversational, and far more culturally loaded.
You cannot translate a prompt word for word and expect it to work. The more conversational the query, the more cultural nuance it carries.
We also guard against English bias, where an AI model defaults to translating top-ranking English content instead of citing a native-language source. Strong, original content in the local language is what earns the citation instead.
Structuring your content so AI can find it
AI models don’t reason or compare. They generate the most statistically likely answer based on patterns in the content they’ve seen. So we make your content easy to recognise and easy to recall:
- Site architecture — placing detailed FAQs directly on the pages they’re relevant to, such as product category pages, so they match conversational prompts
- Schema markup — structuring answers using FAQ, Product, or HowTo schema so both search engines and AI models can read them cleanly
- AI-ready product feeds — enriching feeds with real use cases and context, so products get recommended by AI, not just indexed by it
Why the fundamentals still decide who wins
Ranking on page one of Google still matters. In fact, it matters more than ever. Sites that rank highly in organic search are far more likely to be cited as a source by AI models.
That’s why we never treat GEO as separate from SEO. Robust multilingual keyword research, on-page optimisation, and competitor gap analysis still drive the organic rankings that fuel your AI visibility.
For a deeper look at how this plays out in practice, read our take on common GEO misconceptions or explore how multilingual GEO works for LLMs.
Find the gaps before your competitors do
We run a full multilingual SEO audit of your site to find quick wins and longer-term opportunities. That means reviewing technical SEO, content gaps, and structural issues holding your rankings back market by market.
You get a clear set of recommendations, ranked by impact. No guesswork, just a prioritised plan.
Ready to be found in search and recommended by AI?
Talk to our multilingual SEO team about a strategy built for both.