Building a Prompt Set for Every Export Market
Translating a good prompt set into five languages produces five fluent, useless instruments. Here is how to author one that actually measures each market.
Say you already have one solid prompt set. Real buyer language, no branded softballs, a mix of categorical, comparative and problem-shaped questions that a person who has never heard of you might actually ask. Good. Now you sell into five countries, and someone asks the obvious next question: do we need five prompt sets?
The tempting answer is no, just translate the one you have. Open it in a translation tool, swap the words, ship it. It produces five prompt sets that read as fluent, grammatical, and almost entirely useless, because a translated question is not the question a buyer in that market actually asks.
A translated prompt is a fluent lie
Three separate things break when you translate instead of author, and fixing one does not fix the others.
The vocabulary is wrong first. An English buyer asks who supplies a part. A German industrial buyer more plausibly asks who the reliable Zulieferer are, and frames the question around the technical standard the part has to meet rather than around the generic word for "supplier". A prompt that uses correct German words but never mentions the standard is not the question anyone in that market types.
The competitors are wrong second. Ask a categorical question in French and the model reaches for the shortlist that French-language sources have built, which is not the shortlist English-language sources have built. A company that barely registers at home can be the default answer in another market's language, and a company you consider your main rival at home may not appear there at all.
The category label is wrong third, and this one is easy to miss because it does not look wrong. A packaging machinery category that English-language distributors call "packaging line automation" might be filed, in the German trade press, under a term tied to a specific industry association and its own certification scheme. Translate "packaging line automation" literally and you get a phrase no German buyer's inquiry ever contains, though every word in it is correct German.
Where the real words come from
None of this vocabulary is written down anywhere convenient. It exists in a handful of places, all reachable without a research budget:
- Search suggestions in the local language. Type the start of a real question into a local search engine, in the local language, and read what autocomplete offers before you finish typing. That is aggregated real query behavior, not a sample of one.
- Forum and community questions. Trade forums, that market's local equivalent of a subreddit, LinkedIn groups conducted in the local language. Search for the pain, not the product: what people describe wanting solved, in their own words, before anyone mentions a brand.
- RFQ language from local distributors. If you sell through a distributor or reseller in that market, ask them to forward a handful of real inbound inquiries, names stripped if needed. This is the closest thing to a transcript of how a real buyer phrases the problem, because it is exactly that.
- Local trade press and association glossaries. Trade bodies and industry publications in that market use the vocabulary the market has actually standardized on, including the category name distributors file you under.
None of this requires fluency on your part. It requires someone, even a single contact at your local distributor, willing to spend a short conversation reading real questions instead of translating yours.
A core that survives translation, and a set that does not
Not every prompt needs to be authored from scratch in every market, and treating all of them the same way wastes the one resource that is actually scarce: someone's real knowledge of how buyers in that market talk.
A prompt anchored to your brand name, checking whether the model describes you accurately once it already knows who you are, survives translation more or less intact. It is not measuring whether a market-shaped question surfaces you at all. It is measuring whether the model, once handed your name, gets the facts right, and that job does not depend on local vocabulary. Keep a small, stable core of these prompts and translate them literally into every market. They also double as your control: because they are worded the same way everywhere, any difference in outcome across markets is not a wording artifact.
Everything else, the categorical, comparative, problem-shaped and qualifying prompts that do the actual measuring, has to be authored in that market, from that market's real language, by someone who has read real questions from real buyers there. There is no shortcut through the translator for this part. It is the expensive half of the exercise, and it is also the only half that tells you anything.
The test: would a real buyer actually type this
Before you trust a market-specific prompt, run one check. Show it, without context, to someone in that market who has nothing to do with your marketing: a local distributor, a reseller, a sales contact who deals with buyers there daily. Ask one question: does this sound like something a customer would actually type into a search box or ask an assistant, in these exact words?
If they hesitate, correct the phrasing, or say they would put it differently, the prompt was a translation wearing a local accent. If they read it and shrug because it sounds ordinary, it probably is what it needs to be.
A second, cheaper version of the same test: translate the prompt back into your own language, literally, word for word. A prompt that was authored in the market usually comes back sounding a little odd in translation, because it was shaped by that market's habits, not yours. A prompt that was translated in the other direction comes back sounding exactly like the original, because that is what it always was.
Not every market earns the full treatment
Authoring a full set for every market you touch is real, recurring work, and it is fair to ask whether it is worth it everywhere. It is not. A market where you have committed distribution, a sales team fielding real inquiries and revenue you intend to defend deserves an authored set and the ongoing attention to keep it current. A market where you sell opportunistically, with no local presence and no plan to build one, can run on the stable core alone until it proves out. Spending the same authoring effort on both is not thoroughness, it is a budget decision nobody made on purpose.
This is also where automation earns its keep rather than replaces the work. PSentry generates a prompt set automatically for each site you add, which is a reasonable starting point for a market you are entering and have not built local knowledge in yet. Treat what it generates the way you would treat a first draft from anyone who has not sat in on your sales calls: run it through the native-buyer test before you trust the numbers it produces. A generated prompt that fails that test is telling you something true, just not about your visibility. It is telling you the set needs a person who knows that market to look at it.
Frequently Asked Questions
What if I have no local contact in a market to run the sanity check with?
Ask your distributor's sales team, a freight forwarder who works that trade corridor, or a customer you already have there for a few minutes of their time. If genuinely nobody in the market will talk to you, that is itself worth noting: it usually means the market is smaller for you than your revenue reporting suggests.
Should I hire a professional translator to write the market-specific prompts instead?
A translator makes a sentence grammatically correct in the target language. That is not the same skill as knowing how a buyer in that market's trade actually phrases a problem. What you want is closer to a copywriter or salesperson native to that market's industry, not a translation service.
Two of my markets share a language but not much else, like Germany and Austria. Do they need separate sets?
Check whether their distributor networks, trade bodies and category vocabulary actually overlap before assuming they do just because the language matches. Where they diverge, on the standard cited or the incumbent named, treat them as separate markets that happen to share a language.
How often does a market-specific prompt set need to be refreshed?
Only when the market's vocabulary actually shifts, a new standard, a regulatory change, a category getting renamed, not on a fixed schedule. Refreshing it more often than that breaks the comparison you were trying to build, because you stop measuring the same instrument over time.
Can I reuse the comparative prompts across markets if I just swap in the local competitor names?
No, because the competitor set is exactly what differs market by market, and you often do not know it in advance, that is part of what the exercise is meant to reveal. A comparative prompt with the wrong local competitors slotted in measures a shortlist that does not exist in that market, which defeats the reason to ask it there.
What happens if I skip authoring and just run the translated set anyway?
You get a clean, complete-looking report that measures how the model responds to foreign-sounding phrasing, not how it responds to that market's real questions. It will not look broken. It will simply be wrong in a way that is hard to detect from the outside.