Multilingual SEO Services

SEO gets your link into traditional blue-link results on Google, Bing, Baidu, and Yandex. AEO (Answer Engine Optimization) gets your content extracted into Google Featured Snippets, People Also Ask, and the short AI summaries at the top of the page. GEO (Generative Engine Optimization) gets your brand cited inside the longer narrative answers from ChatGPT, Perplexity, Google AI Overviews, and Claude. The three share fundamentals (clear definitions, schema.org markup, topical authority, original data) but reward different content patterns. We run them as one integrated program in every target language.

Multilingual SEO is the practice of optimizing a website to achieve strong search engine rankings across multiple languages and regions. It combines native-language keyword research, technically correct hreflang tagging, culturally adapted on-page content, and international link building tailored to each target market. Because local search engines such as Baidu in China and Yandex in Russia have their own ranking signals, an effective international SEO strategy addresses each market's dominant search environment, not just Google.

Translation converts words from one language to another. Multilingual SEO converts search intent. Keywords, search volume, and phrasing differ significantly across languages. A phrase that drives traffic in English often has no equivalent search volume in French, while a different term captures all the demand. We research each market independently rather than translating from English.

Hreflang is an HTML attribute that tells Google which language version of a page to serve to which audience. Without it, Google may show the wrong language version to users, treat your multilingual pages as duplicate content, and dilute search engine rankings across every language. Any site targeting more than one language or region needs hreflang. It works alongside your URL structure decision: whether you use country-code top-level domains (ccTLDs), subdirectories, or subdomains affects how hreflang is implemented and how link equity flows across your international pages.

GEO (Generative Engine Optimization) structures content so your brand surfaces as a cited source in AI answers from ChatGPT, Google AI Overviews, Perplexity, and Claude. Traditional SEO targets blue-link rankings; GEO targets the citations LLMs use to compose responses. The two overlap on crawlability, schema markup, and topical depth but diverge on tactics: GEO emphasises schema.org entity coverage, citation-worthy content patterns (clear definitions, original data, structured comparisons), and the trust signals LLMs are trained to weight. Our SEO and GEO programs run together, not as separate workstreams.

Yes, and this is one of the highest-impact parts of our multilingual SEO work right now. AI search systems do not just translate English answers across languages: each language model surfaces a different set of authoritative sources per language, and a brand cited in English may be invisible in French, German, or Mandarin. We map the citation pattern per language, identify the topical gaps where your brand can become a source, and build the entity-rich content and structured data that makes citation likely. The work pairs naturally with traditional multilingual SEO because both rely on native-language topical authority.

Most clients see measurable ranking movement within three to six months, with traffic gains building steadily over 12 to 18 months. New language pages on an aged domain typically rank faster than a completely new site. Local link building in each target market accelerates this timeline by establishing domain authority with local search engines and relevant referring domains. We report monthly so you can track progress at every stage.

We report per language pair, never in aggregate, because a global average hides every problem worth fixing. The headline metrics: keyword rankings for your target terms in each language (Google.de, Google.fr, Baidu, Yandex included); organic traffic per language and per country, split by intent; conversion rate by language, since a translated page can rank well and still convert at half the source-language rate; and SERP visibility share against named competitors per market. We also monitor CTR per language, technical SEO health per locale (Core Web Vitals, hreflang validity, crawl errors), and ROI per language calculated as revenue or pipeline contribution against fees. Tooling: GA4 and Search Console as the source of truth, Ahrefs and Semrush for keyword and competitor visibility, Sistrix for DACH, Moz where the client already has it. Monthly report maps every metric to a recommended next action.

Standard translation converts content accurately from one language to another. SEO translation adapts that content for how people search in the target language. This includes native keyword research, adjustment of keyword density, optimization of meta elements, and cultural adaptation of phrases. The goal is content that ranks in local search engines, not just content that reads correctly.

Yes. We create and manage Google Ads campaigns in English, Spanish, French, German, Italian, Dutch, Mandarin, and more. Ad copy is written natively by professionals who understand both the language and the platform's character constraints: one headline of 30 characters and two of 35 characters. This is a genuine challenge in German with its compound nouns, in French with accents and gendered articles, and in Mandarin where character density differs entirely from Latin scripts. We track ROI and optimize campaigns on an ongoing basis.

Yes. Many clients use SEO translation as the foundation of their ongoing content program. We research local keyword clusters, plan a topic calendar, and deliver translated and adapted blog posts, landing pages, and category content on a retainer basis. Content is written natively for each market, not simply adapted from English posts.