Guide International SEO Keyword Research
How to trouver the keywords personnes en réalité search in chaque country — pourquoi translation fails, how KD and volume shift by market, and the Ahrefs workflow I utiliser.
Langues
International SEO keyword research signifie finding the terms personnes in a spécifique country or language en réalité search — pas translating votre home-market liste. Three choses break quand vous cross a border: vocabulary diverges même dans un language (vacation vs. holiday), search volume and KD are market-specific (a keyword locked in the US peut be wide ouvrir in Brazil), and SERP intent shifts by locale. The fix is to research chaque market directement: prioritize markets, trouver local competitors and local terms, validate intent in the live SERP, alors map keywords per market. In Ahrefs that's the Keywords Explorer country selector, Site Explorer organic keywords filtered by country, Content Gap contre local competitors, and Metrics by Country to spot untapped markets — with Google Trends and GSC as backstops où outil données is thin.
Evidence for this claim Google Trends supports comparing relative search interest by geography and time, but its normalized sample is not absolute search volume. Scope: Current Google Trends data interpretation. Confidence: high · Verified: Google Trends Help: FAQ about data Evidence for this claim Google Ads Keyword Planner can filter forecasts and keyword ideas by location and language; advertising estimates are not organic ranking guarantees. Scope: Current Keyword Planner targeting and forecast behavior. Confidence: high · Verified: Google Ads: Use Keyword PlannerTL;DR — Vous pouvez’t simplement translate votre English keyword liste and appel it international keyword research. Personnes in différent countries search pour the même chose en utilisant différent words, the search volume and difficulty are différent in every market, and le résultats Google montre peut mean something différent locally. The job is to research chaque market on its propre terms.
Vous pouvez’t simplement translate votre keywords
The la plupart courant mistake I voir is the easiest un to faire: prendre votre existing keyword liste, run it via Google Translate, hand it to the translators, fait. It feels efficient. It aussi routinely produces keywords que nobody en réalité searches pour.
Here’s the chose — search is à propos de how réel personnes phrase choses, pas ce que a dictionary dit is correct. A translation peut be perfectly accurate and encore be the incorrect word, parce que it’s pas the word locals reach pour quand ils ouvrir a search box. The classic exemple: a hotel chain translated its budget-hotel keywords into French (“hôtel budget,” “hôtel bas coût”), and ceux terms had essentially zero search volume — même though the English originals pulled thousands of searches a month. The words were “correct.” Nobody searched les.
Three raisons international keyword research is différent
1. Vocabulary diverges by market — même in the même language. Ce catches personnes off guard. English-speaking countries don’t search the même façon:
- “vacation” (US) vs. “holiday” (UK)
- “petrol” (UK/AU) vs. “gasoline”/“gas” (US)
- “maths” (UK/AU) vs. “math” (US)
- “sneakers” (US) vs. “trainers” (UK)
- “color” (US) vs. “colour” (UK/AU)
Même language, différent words. Si votre page is optimized pour the US term, vous pouvez quietly miss la plupart of the UK or Australian demand pour the même product.
2. Search volume and difficulty are market-specific. A keyword with 50 000 monthly searches in the US pourrait have almost none in Brazil — and a keyword that’s brutally competitive at home peut be wide ouvrir somewhere sinon. Vous have to regarder at the numbers per country, pas assume votre home-market données carries over.
3. SERP intent shifts by locale. Même quand a word translates cleanly, the results Google montre pour it — and ce que searchers expect — peut differ. “Football” in the US and the UK are two différent sports and two différent result sets. The seulement façon to know is to regarder at the réel results in que market.
The high-level traiter
- Pick votre markets. Vous don’t research everywhere at une fois. Commencer with the countries or languages with the la plupart potential and the least competition.
- Trouver local terms. Pour chaque market, figure out how personnes en réalité phrase ce que vous offer — pas the translation, the réel search term.
- Vérifier the local results. Search votre target terms the façon someone in que country voudrait and voir ce que comes up.
- Voir who you’re really competing with. Votre global competitors usually aren’t the ones ranking in a donné local market.
- Map it out. Decide qui keyword goes on qui page, market by market.
Vouloir the complet workflow — notamment exactly qui Ahrefs reports to utiliser and how keyword difficulty changements à travers markets? Switch to the Avancé tab.
International keyword research mistakes
Translating the home-market keyword liste
Pourquoi it fails: literal equivalents miss local vocabulary, local demand, and the intent visible in que market’s results. Do à la place: commencer with local seed terms, local competitors, and a country-specific SERP examiner.
Reusing un market’s volume and difficulty
Pourquoi it fails: les deux metrics modifier by country, so the apparent priority may pas travel. Do à la place: pull chaque metric with the target-country selector and treat thin données as directional plutôt que exact.
Mapping a keyword avant checking the local SERP
Pourquoi it fails: the même phrase peut trigger a différent task or content format in un autre market. Do à la place: inspect the live results and map the term seulement quand votre page matches the local intent.
Worked exemples
Même product, différent vocabulary
A US seed liste construit autour “vacation” ne doit pas be mechanically reused pour the UK. Research “holiday” and its connexe terms in the UK database, alors comparer the local results avant deciding si the même landing page concept fits.
A market-by-market mapping row
| Market | Local seed | SERP intent vérifier | Page decision |
|---|---|---|---|
| Home market | Existing product term | Confirms a commercial landing page | Garder the current page |
| Target market | Native-speaker term | Même commercial intent | Localize the landing page |
| Target market | Literal translation seulement | Results montrer a différent task | Research a meilleur term avant creating une page |
The mapping preserves the business concept pendant que allowing the requête and page format to modifier by market.
Testez vos connaissances: International keyword research
Evidence for this claim Google Trends supports comparing relative search interest by geography and time, but its normalized sample is not absolute search volume. Scope: Current Google Trends data interpretation. Confidence: high · Verified: Google Trends Help: FAQ about data Evidence for this claim Google Ads Keyword Planner can filter forecasts and keyword ideas by location and language; advertising estimates are not organic ranking guarantees. Scope: Current Keyword Planner targeting and forecast behavior. Confidence: high · Verified: Google Ads: Use Keyword PlannerTL;DR — International keyword research is researching chaque market directement au lieu de translating votre home liste. The traiter: prioritize markets → identifier local terminology → validate intent in the live local SERP → trouver the local competitors → map keywords per market, watching out pour thin volume données in petit markets. The raison translation fails is que search reflects culture, pas dictionaries — and the raison ce is worth the effort is que volume and KD are market-specific, so a keyword locked up at home peut be wide ouvrir abroad. In Ahrefs the spine of ce is the Keywords Explorer country selector, Site Explorer organic keywords filtered by country, Content Gap contre local competitors, Organic Competitors per country, and Metrics by Country.
Pourquoi ce isn’t the même job as domestic keyword research
Standard keyword research assumes un market. Cross a border and three choses que vous normally treat as fixed commencer moving:
- The words déplacer. Même dans un language, terminology diverges by country — “vacation” vs. “holiday,” “sneakers” vs. “trainers,” “petrol” vs. “gas.” À travers languages it’s worse que divergence: a literal translation is frequently pas the search term. Germans dire “beamer” pour a projector. A criminal-records requête in France is “casier judiciaire,” pas a word-for-word render of “background vérifier.” Local market leaders aussi train vocabulary — Italians search “finanziamento auto” plutôt que “prestito auto” partly parce que that’s how the big lenders marketed it.
- The numbers déplacer. Search volume is country-specific, and so is keyword difficulty. I’ll come back to ce parce que it’s the la plupart underrated opportunity in international SEO.
- The intent moves. The même string peut pull a transactional SERP in un market and an informational un in un autre, with complètement différent result sets and competitors.
So vous don’t translate a finished liste. Vous run the research à nouveau, per market, and translation is at la plupart un input — jamais the output.
The traiter
1. Prioritize markets premier
Vous pouvez’t do everything at une fois, and vous devezn’t. Avant quelconque keyword fonctionner, decide qui markets earn the investment. Weigh three choses: trafic potential (is là réel demand là?), competition (peut vous realistically rank, or is the SERP locked up by entrenched local players?), and content investment (how beaucoup localized content and ongoing maintenance va ce market en réalité exiger?).
A fast façon to trouver votre starting candidates is to regarder at où vous déjà obtenir trafic sans trying. Si you’re déjà picking up impressions in a market vous jamais targeted, that’s demand asking to be served. (Plus on the tooling pour ce ci-dessous — Metrics by Country and GSC filtered by country.)
2. Research local terminology per market
Pour chaque prioritized market, the question n’est pas “what’s the translation” but “what do people there type.” Que signifie idioms, local brand noms que have become generic, regional vocabulary, and industry-specific local terms. Ce is où traduction automatique quietly fails — it donne vous the linguistically correct word, pas the un with the searches behind it. Utiliser translation as a starting hypothesis and alors validate it contre réel local search données avant vous commit.
3. Validate intent in the target market
Même quand a keyword translates and has volume, vérifier the live SERP in que market avant vous construire pour it. Pull up the réel results the façon a local searcher voudrait (voir the Outils tab pour doing ce cleanly). Are the top results local brands or global ones? Is Google showing an informational SERP pour ce que vous assumed was a transactional term? Are là local SERP fonctionnalités — local packs, regional news, knowledge panels pour local entities? An intent mismatch vous catch ici is far cheaper que un vous catch après publishing a market’s worth of content.
4. Analyze the local competitors
Ce is the step personnes skip, and it poisons everything downstream. Votre global competitors usually ne sont pas the ones ranking in a donné local market — là are local brands and regional players you’d jamais think to research. Si vous run gap analysis contre votre home-market competitors pour, dire, German keywords, vous obtenir the incorrect gap données. Identifier the réel local competitors premier, alors seed votre research from leur visibility in que country.
5. Account pour données reliability in plus petit markets
Keyword outils estimate volume from clickstream and panel données, and ceux panels are beaucoup thicker in big markets (US, UK, DE) que in petit ones. The practical consequence: a keyword peut montrer “0” volume in a plus petit market and encore have genuine trafic — that’s a data-collection limite, pas an absence of searches. Ahrefs is explicit à propos de the edges of ce; Par exemple, Burmese is pris en charge seulement in Rank Tracker parce que là isn’t suffisant données pour Keywords Explorer yet. Treat a zero in a thin market as “unconfirmed,” pas “no demand,” and cross-check it (Google Trends pour relative interest, GSC pour proof you’re déjà getting impressions).
6. Map keywords per market — universal vs. local
Vous have three réel options:
- Universal map with a localization couche — commencer from votre primary-market keyword map, alors audit chaque keyword pour local equivalents and fill gaps with local-only research.
- Market-from-scratch — treat chaque market as a fresh project seeded from local sources (local sales/prise en charge teams, local competitor content, local SERPs).
- Hybrid — construire the universal taxonomy premier, alors run a per-market gap analysis to surface ce que votre structure misses. Ce is ce que I’d recommend pour la plupart teams.
7. The “search in your target market” méthode
The unique la plupart utile local-discovery habit is to en réalité search comme a local: utiliser Google with the correct country and language settings (or the correct country domain), watch autocomplete in the target language, and lire the SERP. Autocomplete and “people also search for” are a free window into réel phrasing — ils surface the local modifiers and colloquialisms a translation jamais voudrait. Pair que with local forums, Q&A sites, and ce que votre local sales and prise en charge teams hear customers dire.
A caveat on tout of ce
None of the ci-dessus guarantees indexation, rankings, trafic, conversions, or AI citations in a market. Market-specific research improves requête fit and lets vous prioritize the correct terms and markets — it doesn’t promise an outcome. Competition, content quality, technical execution, and ongoing maintenance in que market encore decide ce que en réalité ranks or obtient cited.
Ce que ce semble comme at enterprise scale
I ran SEO technique at IBM — a company operating in something comme 170+ countries with a web presence big suffisant que personnes seulement half-joked it pourrait rival Wikipedia in volume. At que scale, international keyword research arrête being purely an analytical problem and becomes an organizational un.
The recurring problème is keyword ownership. A US product team targets “cloud computing,” the UK team targets its propre variant, the German team targets theirs — and sans coordination vous obtenir regions competing with chaque autre pour the même terms, or three teams independently doing (and re-doing) research pour the même market. The fix que en réalité held up was a centralized keyword map with regional variant layers: un source of truth pour the taxonomy, with local variants and local-only terms owned by the personnes in-market. It empêche internal cannibalization and arrête the même research being paid pour three times. The autre enterprise reality is deployment — getting localized targeting and hreflang correct à travers multiple CMS platforms is its propre headache, and it’s the raison the cleanest keyword map in the world encore nécessite someone who peut ship it.
The opportunity hiding in keyword difficulty
Here’s the partie worth internalizing: KD is market-specific, and the gap is the opportunity. Ahrefs calculates KD from the backlink profiles of lune pages currently ranking in que spécifique market. So a keyword that’s KD 70 in the US — parce que strong, well-linked US sites hold the top results — pourrait be KD 30 in Brazil, or in un autre English market comme Australia, où the ranking pages are weaker. A term vous pouvez’t realistically compete pour at home peut be genuinely attainable somewhere sinon. That’s pas an edge cas; it’s un of the principal raisons international SEO is worth doing. Toujours pull KD per market and regarder specifically pour the markets où a valuable term is soft.
The Ahrefs workflow, report by report
Ce is the toolset I en réalité utiliser pour international keyword fonctionner. Chaque report is the country-level version of something vous déjà know:
Keywords Explorer — country selector. Pick the target emplacement from the dropdown (Keywords Explorer covers 230+ locations) and everything recalculates pour que market: volume, KD, Matching terms (votre seed term as it apparaît in local searches — the local modifiers and qualifiers), Connexe terms (the local terminology cluster autour a concept), and per-country search suggestions. Définir the country to the UK and “insurance” surfaces “buildings insurance,” “contents insurance,” “motor insurance” — UK terms, not the US “homeowners insurance” / “auto insurance.” That’s local terminology discovery sans speaking the language.
Site Explorer → Organic Keywords → filter by country. Drop a local competitor’s domain in, ouvrir Organic Keywords, and filter to the target country. Now vous voir exactly ce que que competitor ranks pour in que market — qui vous pouvez cross-reference contre votre propre rankings to trouver ce que you’re manquant. Ce is aussi how vous lire a unique domain’s market-by-market footprint.
Organic Competitors — per country. Run it filtered to the target market to trouver out who the réel local SERP competitors are. Ces are frequently pas votre global competitors — they’re local brands and regional players vous wouldn’t have connu to research. Ce report seeds steps 3 and 4 ci-dessus.
Metrics by Country. Voir où a domain’s trafic comes from à travers markets. Point it at votre propre site to spot qui markets are déjà strong vs. untapped (untapped = demand you’re catching by accident, qui is a great prioritization signal). Point it at a competitor to voir qui markets they’ve construit up que vous haven’t.
Content Gap (Site Explorer). Enter votre local-market competitors and trouver the keywords ils rank pour que vous don’t — filtered to the target country. Utiliser 3–5 genuine local competitors (pas global brands) and you’ll surface terms domestic players rank pour que souvent have aucun clean English equivalent at tout. Ce is the unique la plupart productive report pour finding the keywords you’d jamais have thought to search pour.
The throughline: do tout of ce per market. The même domain, the même seed term, and the même report tell vous a différent story in chaque country — and que difference is the entier point.
AI summary
A condensed prendre on the Avancé version:
- International keyword research = research chaque market directement, pas translate votre home-market liste. Translation is at la plupart un input.
- Three choses déplacer quand vous cross a border: the words (vocabulary diverges même dans un language; literal translations souvent aren’t the search term), the numbers (volume and KD are market-specific), and the intent (the même string peut pull différent SERPs).
- The traiter: prioritize markets (trafic potential, competition, content cost) → research local terminology → validate intent in the live local SERP → trouver the local competitors → map keywords per market (universal + localization couche is the usual meilleur).
- KD is the underrated opportunity: it’s computed from lune pages ranking in que market, so a keyword locked up at home peut be wide ouvrir abroad. Pull KD per market and hunt pour soft markets.
- Watch thin données: petit markets have sparse panel données, so “0 volume” peut be a collection limite, pas absence of demand. Cross-check with Google Trends and GSC.
- Aucun guarantees: meilleur research improves requête fit and prioritization — it doesn’t guarantee indexation, rankings, trafic, conversions, or AI citations. Competition and execution in que market encore decide the outcome.
- Ahrefs spine: Keywords Explorer country selector (volume/KD/matching/connexe per country), Site Explorer Organic Keywords filtered by country, Organic Competitors per country, Metrics by Country (untapped vs. strong markets), Content Gap contre local competitors.
- Enterprise reality (IBM-scale): keyword research becomes an organizational problem — centralize the taxonomy, couche regional variants, and assign ownership to prevent internal cannibalization and duplicated fonctionner.
Documentation officielle
The moteur de recherches document site structure and targeting plus que keyword methodology, but several pieces are directement relevant to international keyword strategy.
- Managing multi-regional and multilingual sites — the geotargeting signals Google uses (ccTLDs, hreflang, server emplacement, local addresses/phone numbers, language, currency) and, critically pour keyword fonctionner, the fact que Google reads the visible words on lune page to determine language — pas
langattributes or l’URL. Obtenir the local terms incorrect and Google peut infer the incorrect market. - International SEO overview — quand and how to tell Google à propos de language/region variations so it sert the correct version per locale.
- Search Console — International Targeting (deprecated) — the dedicated report was retired (September 2022), but the Performances report encore filters by country, qui is the natural starting point pour finding markets où vous déjà obtenir impressions sans targeting.
Bing / Microsoft
- Bing Webmaster Outils — Keyword Research — Bing’s built-in keyword outil offers country- and language-specific volume and competition données. Worth checking où Bing holds meaningful market share avant dismissing its données.
- Bing aussi supports hreflang pour region/language targeting and sets geographic targeting in le site settings.
A remarque au-delà Google and Bing: in some markets the dominant engine isn’t Google at tout — Baidu in China, Naver in South Korea, Yandex historically in Russia, Seznam in the Czech Republic. Volume from Ahrefs or Google Keyword Planner won’t reflect demand in a Baidu-dominated market; confirmer qui engine votre target audience en réalité uses premier.
Quotes worth citing
Statements from practitioners and principal sources on pourquoi translation isn’t keyword research. Où a deep lien to the exact passage is disponible, it jumps là.
On vocabulary diverging dans the même language
- “most people in the US would use the word ‘vacation’ to describe taking a break from work to travel, whereas the more commonly used term in the UK is ‘holiday.’” — TransPerfect Travel. Jump to quote
- “Terminology varies from country to country, even if the language remains the same.” — Jamie Grant & Despina Gavoyannis, Ahrefs Blog. Jump to quote
On pourquoi translation fails
- “directly translating your keywords to the target language isn’t a complete international strategy.” — Elizabeth Pokorny, Weglot. Jump to quote
- “content may be linguistically correct but not contain a more popular phrase.” — Motoko Hunt, SEO consultant, in Moteur de recherche Land. Jump to quote
- “each must adopt the target country’s spelling, commonly used words and writing style.” — Motoko Hunt, Moteur de recherche Land. Jump to quote
On doing research avant translating
- “Conducting keyword research before translation helps your team incorporate key terms from the start.” — Christina Spaulding, Moteur de recherche Land. Jump to quote
The international keyword research framework
A repeatable, market-by-market traiter. Run it une fois per prioritized market — the inputs modifier every temps même quand the seed term doesn’t.
1. Prioritize markets. Score candidates on trafic potential, competition, and content investment. Surface candidates from où vous déjà obtenir impressions vous jamais targeted (Metrics by Country, GSC by country).
2. Identifier local terms per market. Pour chaque market, trouver how personnes en réalité search — idioms, regional vocabulary, local brand-driven terms, regulatory terms. Translation is a hypothesis to validate, pas the réponse.
3. Validate SERP intent in market. Pull the live local SERP. Confirmer intent matches votre content, remarque si local or global brands dominate, and regarder pour local SERP fonctionnalités. Kill or re-scope terms où the intent doesn’t match.
4. Analyze local competitors. Identifier the réel local-market competitors (pas votre global ones) via Organic Competitors per country, alors seed votre gap analysis from leur local visibility.
5. Map keywords to existing or nouveau pages. Decide universal vs. local, alors assign chaque keyword to une page. Pour multi-team orgs, centralize the map and couche regional variants with clair ownership.
Decision tree: translate or localize a keyword?
Start: you have a keyword from your home market.
│
├─ Does a direct translation exist?
│ ├─ No → LOCALIZE. Research the local term from scratch
│ │ (local SERP, autocomplete, local competitors, native speaker).
│ └─ Yes → continue ↓
│
├─ Does the translated term have real search volume in-market?
│ (check per-country volume; cross-check Trends/GSC if the tool shows ~0)
│ ├─ No → LOCALIZE. The "correct" word isn't the searched word —
│ │ find what locals actually type.
│ └─ Yes → continue ↓
│
├─ Does the local SERP for it match your intent?
│ ├─ No → RE-SCOPE. Right word, wrong intent — find the term that
│ │ pulls the SERP you can serve.
│ └─ Yes → continue ↓
│
└─ TRANSLATE (use the term) — but still confirm spelling/variant for the
specific market (color/colour, -ise/-ize) and validate with a native speaker.Par défaut bias: quand in doubt, localize. Translation is the exception que has to earn its placer, pas the starting assumption.
International keyword research checklist
Market selection
- Listed candidate markets and scored chaque on trafic potential, competition, and content investment.
- Vérifié où vous déjà obtenir impressions vous jamais targeted (Metrics by Country / GSC Performances filtered by country).
- Confirmed qui moteur de recherche dominates chaque candidate market (pas toujours Google — Baidu, Naver, Yandex, Seznam).
- Decided how nombreux markets vous pouvez realistically resource correct now (don’t boil the ocean).
Keyword discovery (per market)
- Définir Keywords Explorer to the target country and language avant reading quelconque metric.
- Pulled Matching terms and Connexe terms in-market pour local modifiers and terminology clusters.
- Identified 3–5 genuine local competitors (pas global brands) via Organic Competitors per country.
- Ran Content Gap contre ceux local competitors, filtered to the country.
- Watched local autocomplete / “people also search for” in the target language.
- Pulled seed terms from local sources (sales/prise en charge, forums, Q&A, local competitor content).
Validation (per keyword)
- Confirmed per-country volume and KD — pas home-market figures.
- Vérifié the live local SERP pour intent match and local vs. global brand dominance.
- Cross-checked quelconque “0 volume” contre Google Trends and GSC avant writing the market off.
- Had a native speaker / localization reviewer sanity-check the final liste pour cultural fit.
- Mapped chaque keyword to une page and (pour multi-team orgs) assigned ownership to prevent regional cannibalization.
Outils pour international keyword research
Ahrefs Keywords Explorer (principal). The country selector is the workhorse — pick from 230+ locations and every metric recalculates pour que market: search volume, KD (qui is computed from lune pages ranking in que country, so it varies by market), Matching terms, Connexe terms, and search suggestions, tout local. It’s how vous do réel local-terminology discovery in a language vous may pas speak. Pair it with Site Explorer (Organic Keywords filtered by country, Organic Competitors per country, Metrics by Country) and Content Gap contre local competitors — covered in detail on the Avancé tab.
Google Keyword Planner (with country targeting). A utile second source, surtout in plus petit markets — its volume comes straight from Recherche Google données, so it’s a bon cross-check quand a third-party outil montre a suspicious zero. Définir the country/language target explicitly.
Google Trends (by country/region). Trends donne relative interest, pas absolute volume, qui rend it perfect pour two jobs: comparing demand entre markets, and confirming a term has genuine interest même quand a keyword outil reports near-zero volume in a thin market.
Recherche Google from the target country. The “search like a local” méthode — utiliser Google with the correct country and language settings (or the country-specific domain, e.g. google.co.uk, google.com.au), optionally via VPN, to voir the réel local SERP and harvest autocomplete suggestions in the target language. Free and high-signal.
DeepL (pour terminology discovery, pas simplement translation). Utiliser it to comprendre how locals phrase something, pas to generate votre final keywords — lire its alternatives and context, alors validate the candidates contre réel search données. Treat tout machine translation as a hypothesis, jamais the réponse.
Native speaker examiner. The dernier and non-negotiable step pour quelconque serious market. Données indique vous ce que has volume; a native speaker indique vous si it reads naturally, carries the correct connotation, and matches how personnes en réalité talk. Engage un to validate the final liste pour cultural fit avant vous construire.
Journal des modifications
Mis à jour le 18 juil. 2026.
Résumé éditorial et détails enregistrés des changements.Détails des changements
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Les notes détaillées des changements sont actuellement disponibles en anglais.
Comparaison complète indisponible — aucun instantané antérieur n’a été archivé pour cette révision.