Built as a focused GEO workstream, not a generic SEO add-on.

AI engines answer in the language of the question, and their retrieval behaviour differs by market. A brand that is visible in English can be invisible in Japanese, German, or Chinese — not because its content is absent, but because it was never localised for how each market's engines retrieve and cite.

Multilingual GEO treats each market as a separate retrieval environment. The work is not translation — it is localisation of the entire visibility stack: entities, schema, content structure, and measurement.

Why markets differ

AI engines retrieve differently by language and market. Regional models — Qwen and Kimi in Chinese markets, for example — weight local sources, local entities, and market-specific phrasing. The buyer journey also differs: a Japanese B2B buyer’s AI prompts look nothing like a German buyer’s. Multilingual GEO optimises for each environment rather than assuming one strategy transfers.

What gets localised

  • Entities — localised organisation and product names, consistent within each market.
  • Schema — market-appropriate schema delivery and language annotations.
  • Content — answer structure that matches how each market’s engines segment and cite.
  • Signals — hreflang and international targeting reviewed for AI retrieval, not just search engines.
  • Measurement — per-market visibility reporting so success is provable in each market.

The honest scope

We are transparent about our language coverage: English, Japanese, Korean, Simplified Chinese, and Traditional Chinese are currently supported. Additional languages are scoped per market priority rather than promised generically.

Multilingual GEO is the language layer of the Enterprise GEO Program’s multi-market governance, and depends on Content Optimisation for AI Search to produce the extractable content each market needs. Reporting per market is provided through GEO Reporting.

From audit to AI visibility improvements

Market priority analysis

We identify the markets and languages where AI-assisted buying matters most for your revenue.

Localised entity setup

We establish local entities: localised names, descriptions, and market-appropriate schema.

Localised content optimisation

We structure market-specific content for how each language's AI retrieval behaves.

Cross-market measurement

We measure visibility per market and language, with market-level reporting.

Deliverables

  • Market and language priority analysis
  • Localised entity and schema setup
  • Market-specific content optimisation
  • Hreflang and international signal review
  • Per-market visibility measurement
  • Cross-market reporting

Frequently Asked Questions

Multilingual GEO is AI visibility optimisation across languages and markets: localised entities, content, and retrieval behaviour per market, with per-market measurement.
Translation preserves meaning; GEO requires retrieval optimisation. Each market's engines retrieve, weight, and cite differently — localisation must cover entities, schema, and answer structure, not just copy.
We currently optimise for English, Japanese, Korean, Simplified Chinese, and Traditional Chinese, with capacity to extend to additional languages as market priorities require.

Start with a free GEO audit.

We'll show you where your brand is missing from AI-generated answers and what to fix first.