Discover how the same product or service is searched for differently across countries, and learn to build authentic local keyword lists for each export market.
A Japanese skincare brand was expanding into Thailand, Vietnam, and Indonesia. They took their Japanese product names, translated them into English, and then translated the English into Thai, Vietnamese, and Indonesian. Their Thai keyword list included the translated term for "brightening serum" — a direct, dictionary-accurate translation. But Thai women searching for brightening serum online used a completely different phrase: "vay whitening" (a localised borrowing from English) combined with specific Thai descriptors about skin tone. The direct translation had zero search volume. The local phrase had thousands of monthly searches. The brand had been invisible in Thailand not because their products were wrong, but because their keywords were.
One of the most common and costly mistakes in export keyword research is assuming that direct translation produces searchable keywords. Languages do not map one-to-one in how people search. The words and phrases that buyers type into Google vary significantly by country, region, and culture — even when they are searching for the exact same product. Understanding and discovering these local search term variations is essential for ranking in each target market.
This lesson covers why direct translation fails for international SEO, how to identify genuine local search behaviour, and a repeatable process for building market-specific keyword lists that reflect how real buyers search.
Direct translation fails for three primary reasons. First, product categories and terminology differ by market. What is called "corrugated cardboard" in the US may be called "corrugated fibreboard" in the UK and "wellepappe" in Germany. An exporter of packaging materials who optimises for "corrugated cardboard" in Germany will miss the market entirely because German buyers use "Wellpappe" and "Kartonagen." These are not translations of the same term — they are different terms that reflect different categorisation systems in each market.
Second, search behaviour is shaped by local language patterns. In English, buyers typically search for "product + supplier + country" (e.g., "industrial pump manufacturer Germany"). In Japan, searches often omit the action word and use more noun-based phrases. In Spanish, the word order may be reversed or include prepositions. In Thai, search queries often omit spaces and use compound words that do not exist in dictionary translations. Each market's search syntax is distinct, and translated keywords that ignore these patterns will not match actual search behaviour.
Third, borrowed words and localised terminology vary significantly. In Vietnamese, many product categories are searched using a mix of Vietnamese words and English loanwords. In Thai, English technical terms are often used alongside Thai descriptors. In Indonesian, the word "supplier" is commonly used but the sentence structure around it follows Indonesian grammar, not English. Translating your English keyword list into Thai or Vietnamese produces phrases that no real buyer would type into a search box — they may be grammatically correct but search-behaviourally incorrect.
The best way to discover how buyers actually search in a target market is to start with the search engine itself. Open Google in the target market's local domain (e.g., google.co.th for Thailand, google.co.id for Indonesia) and begin typing your seed keywords in the local language. Google's autocomplete suggestions are generated from real search data — they show you what actual users in that market are searching for. The autocomplete suggestions for the same product will look different in each market's Google domain, revealing genuine local search variations.
Use the "People also ask" and "Related searches" sections at the bottom of Google's search results pages in each market's local language. These sections surface additional queries that real users in that market search for. Collect these terms and add them to your market-specific keyword list. For B2B products, also check industry-specific forums, trade association websites, and B2B marketplaces in each target market — these platforms contain the exact language that procurement professionals use when searching for suppliers.
Work with native speakers who understand both the language and the industry. A professional translator may produce grammatically correct translations that have no search volume. A native speaker with industry knowledge will tell you that "nobody searches for that term — they search for this term instead." Budget for local keyword research as a separate line item from translation. The cost of discovering that your translated keywords have zero search volume is much higher than the cost of doing proper local keyword research upfront.
Start each market's keyword list from scratch rather than translating and adapting. Use the local Google domain's autocomplete, related searches, and keyword planner to build a seed list of 50 to 100 local-language terms. Cross-reference these terms against your product catalogue to identify which ones match what you actually sell. A term may have high search volume but refer to a slightly different product category in that market — verify that the local term maps to your product before optimising for it.
Organise your market-specific keywords in a structured spreadsheet with columns for: keyword (local language), English translation (for your reference), search volume (local market), intent level, competition level, and the URL of the page you will optimise for that keyword. This document becomes your strategic roadmap for each market. It also serves as a quality check — if you cannot find a local equivalent for a keyword, you may be targeting a product that does not have significant demand in that market.
Validate your market-specific keyword lists before investing in content creation. Use Google Ads' keyword planner with the country set to your target market to check estimated monthly search volumes. Run small test campaigns (even $100-$200) for your top 10 keywords in each market and measure impression share and CTR. The impression data from a live campaign is the most reliable indicator of whether your keywords match real search behaviour. A keyword with high estimated volume but zero impressions in a test campaign is a false positive — remove it from your list and investigate the discrepancy.
The cost varies by market and language, but budget $200-$500 per market for the initial keyword discovery phase if you are using a local SEO specialist or native speaker with industry knowledge. This includes autocomplete analysis, competitor keyword analysis, search volume verification, and validation testing. The return on this investment is immediate — it prevents you from wasting thousands of dollars creating content optimised for keywords that no one searches for.
Google Translate can give you a rough starting point, but it cannot replace proper local keyword research. Translate will give you the dictionary equivalent of your English term, which may or may not match how buyers actually search in that language. Use Google Translate only as a preliminary step to generate hypothesised keywords, then validate each one using local Google autocomplete, keyword planner data, and native speaker review. Never optimise content based on translated keywords without validation.
Even if the core product term is identical (e.g., "CNC machining" is used in English across many markets), the surrounding search context differs. German buyers may search "CNC machining supplier DIN certification," while US buyers search "CNC machining ISO 9001 manufacturer." The modifiers, qualifiers, and intent signals around the core term vary by market. Build your keyword list around those market-specific modifier patterns. You still need per-market keyword research to capture the full query context.