Translation gets your words into another language. Multilingual SEO gets you found in it. We research, write and structure content around how each language community actually searches, then wire it together so every version ranks.
Start a projectWhat you get
Translated sites usually inherit the home market's keywords rendered in another language. But search behaviour is cultural: the phrases, questions and buying signals differ, so literal translations rank for nothing and read like it.
We research each language independently, prioritise the pages worth localising, write or brief native-quality content, and implement the technical targeting that serves the right version to the right searcher every time.
Research conducted in each target language from scratch, capturing local phrasing, synonyms and question patterns that translation always misses.
Content adapted to local buying habits, units, currencies, regulations and references, so it reads as written for that market because it was.
Hreflang, URL structure and language switching implemented and validated so each searcher lands on the right version and search engines know which to serve.
Not every page deserves every language. We rank pages by per-language demand and business value, so budget goes where rankings are winnable.
Case studies, reviews and credentials sourced or surfaced per language market, because proof from the wrong country does not convert.
Visibility and conversions tracked per language, so you can see which versions compound and where the next investment belongs.
Keyword and question research conducted natively in each target language, mapped against your existing pages and the gaps between them.
Pages ranked by per-language demand and commercial value, producing a localisation order that spends budget where it can win.
Native-quality content written or briefed, with local proof, units and references, then technical targeting shipped and validated.
Per-language performance reviewed monthly, with content improved and the next set of pages chosen from real demand data.
| Area | Typical approach | Our approach |
|---|---|---|
| Content | Machine translation | Native-quality with human review |
| Keywords | Home market, translated | Researched in the target language |
| Scope | Translate everything | Localise what can win |
| Proof | Same testimonials everywhere | Local evidence per market |
Translation converts words; multilingual SEO wins rankings. The research, phrasing, structure and proof are built around how each language community searches, which is rarely a literal rendering of your home market's keywords.
For low-stakes content it can work with native review. For pages you want to rank and convert, unedited machine output reads as thin and generic, which is exactly what search systems demote. We use AI assistance with human native review, never raw output.
Wherever you have customers, delivery capability and winnable search demand. We size each language's opportunity with real research before recommending, rather than translating everything everywhere.
For research review and content, yes. We work with native speakers for each target language, because the difference between grammatically correct and actually how people search is the entire job.
Each page declares its language and target region plus all its alternates. Search engines use that to serve the right version. It is precise but error-prone, so we implement and validate it rather than trusting a plugin.
On an established domain, new language versions typically gain traction in two to four months. On a new domain or in a competitive language market, plan for longer.
What is the difference between translation and multilingual SEO?
Translation converts words; multilingual SEO wins rankings. The research, phrasing, structure and proof are built around how each language community searches, which is rarely a literal rendering of your home market's keywords.
Translation converts words; multilingual SEO wins rankings. The research, phrasing, structure and proof are built around how each language community searches, which is rarely a literal rendering of your home market's keywords.
For low-stakes content it can work with native review. For pages you want to rank and convert, unedited machine output reads as thin and generic, which is exactly what search systems demote. We use AI assistance with human native review, never raw output.
Wherever you have customers, delivery capability and winnable search demand. We size each language's opportunity with real research before recommending, rather than translating everything everywhere.
For research review and content, yes. We work with native speakers for each target language, because the difference between grammatically correct and actually how people search is the entire job.
Each page declares its language and target region plus all its alternates. Search engines use that to serve the right version. It is precise but error-prone, so we implement and validate it rather than trusting a plugin.
On an established domain, new language versions typically gain traction in two to four months. On a new domain or in a competitive language market, plan for longer.
Tell us your markets and languages. We will research the real demand in each and show you where the winnable rankings are.