ChatGPT Prompts for ESL Vocabulary: Profession-Specific Lists

Your student is a pharmaceutical sales professional preparing for client meetings in German. You type "B2 business vocabulary German" into ChatGPT and get a list that includes words like Besprechung (meeting), Rechnung (invoice), and Vertrag (contract). Useful words. But not the words she actually needs. She needs vocabulary for presenting clinical trial data, discussing contraindications with physicians, and navigating relationship-building in a German healthcare register. It matters to be specific. This post shows you how and what to put in.

Why Does "B2 Business Vocabulary" Produce the Wrong Results?

The problem with generic vocabulary prompts is that they ask AI to guess at context it doesn't have. "B2 business vocabulary" is an instruction that could describe a marketing manager, a logistics coordinator, a pharmacist, or a hotel receptionist. All of them may operate at a B2 level, but they may not share the same vocabulary needs. AI produces the intersection of all those profiles, which is vocabulary general enough to apply to everyone and therefore specific enough for no one.

This isn't a flaw in the AI, but a gap in the instruction. The same model that generates a mediocre generic list will generate something genuinely useful the moment you give it the context to work with. The gap between a list your student won't remember and a list she actually practices at home comes down to a few additional lines in the prompt.

For professional adult learners especially, this matters more than it does for other demographics. A B1 student working through a general coursebook has the luxury of gradual vocabulary accumulation across a wide range. A pharmaceutical sales professional preparing for a product launch meeting in three weeks does not. Every session has to earn its place in her week.

What Three Things Actually Determine Whether a Vocabulary List Is Useful?

A profession-specific vocabulary list is useful when it gets three things right: domain, context, and level. Try to apply all, if all are relevant in a specific case.

• Domain is the professional field like pharmaceutical sales, architecture, civil litigation, software engineering. Specifying the domain alone is a reasonable start, but it still leaves AI with too much surface area. "Pharmaceutical vocabulary" covers everything from a hospital pharmacist dispensing prescriptions to a regulatory affairs specialist filing submissions. The same domain, very different language needs.

• Context narrows domain down to the specific situations the learner will actually face. Client meetings in a German healthcare register is a context. Presenting Phase III trial data to a hospital formulary committee is a context. Writing follow-up emails after a conference call is a context. When you specify context, AI can produce vocabulary that fits naturally into the situations your learner will encounter, rather than vocabulary that merely belongs to the right industry.

• Level is not just CEFR. It also means: what does this learner already know? A pharmaceutical sales professional who has been operating in English for five years may have excellent vocabulary in the clinical side of her work but thin vocabulary in the negotiation and relationship-building registers. Telling AI "C1" isn't wrong, but telling AI "C1 in clinical terminology, weaker in German business register conventions" is more useful. If you know the gaps, specify them.

What Does a Full Prompt Template Look Like?

The template below combines all three (domain, context, level) with a fourth element, an output format. Specifying format inside the prompt saves editing time and produces something you can share with learners directly.

Template (copy and paste this):

I am a language teacher preparing vocabulary materials for a professional adult learner with the profile:
- Profession: [e.g., pharmaceutical sales representative]
- Target language: [e.g., German (B2, strong in clinical terminology, developing business register)]
- Upcoming context: [e.g., client meetings with hospital physicians and formulary committees, including presenting clinical trial data and discussing product pricing]

Please generate a vocabulary list of 12–15 items. Focus only on terms that are specific to this profession and context — avoid general business vocabulary that would appear in any industry.

For each item, include:
- The term (in [target language])
- English translation or explanation
- One example sentence showing the word in the specific professional context above
- One common collocation or phrase it appears in

Format as a numbered list, with each field on its own line.

Filled in for a pharmaceutical scenario:

I am a language teacher preparing vocabulary materials for a professional adult learner with the profile:
- Profession: Pharmaceutical sales representative
- Target language: German (B2, strong clinical terminology, developing business register)
- Upcoming context: Client meetings with hospital physicians and formulary committees; presenting Phase III trial data; discussing treatment protocols and pricing; relationship-building in a German healthcare context

Please generate a vocabulary list of 12–15 items. Focus only on terms specific to pharmaceutical sales in Germany — avoid general business vocabulary.

For each item, include:
- The term (in German)
- English translation or explanation
- One example sentence in the pharmaceutical sales context
- One common collocation or phrase

Format as a numbered list, with each field on its own line.

Filled in for an architect learning Italian:

I am a language teacher preparing vocabulary materials for a professional adult learner with the profile:
- Profession: Architect, specializing in residential renovation projects
- Target language: Italian (B1, able to discuss design concepts in general terms, needs vocabulary for project management and contractor communication)
- Upcoming context: Site visits, client briefs, meetings with local contractors and subcontractors in northern Italy

Please generate a vocabulary list of 12–15 items. Focus on terms specific to architecture and construction in an Italian context — avoid general business Italian.

For each item, include:
- The term (in Italian)
- English translation or explanation
- One example sentence in the construction/renovation context
- One common collocation or phrase

Format as a numbered list, with each field on its own line.

The structure is the same. The inputs change. This is what makes the template worth having. Once you understand the four fields (profession, target language and level, context, output format), you can adapt it for any learner in a few minutes.

Does the Output Format Inside the Prompt Matter?

Yes, and it's one of the easiest wins available to you. Specifying the format in the prompt means you get something close to ready-to-use on the first pass, rather than spending time reformatting output that arrived as a paragraph or an inconsistent table.

For vocabulary lists you plan to print or share as a document, a numbered list with labeled fields (as in the template above) works well. For learners who practice with flashcards, you can ask for two-column format: term on the left, definition and example on the right. If you work with audio, ask for the example sentence on its own line without surrounding labels, it may be easier to copy and turn into a listening exercise that way.

A small addition to the prompt like "format as a table with columns: Term | Translation | Example sentence | Collocation" produces a table that you may be able to paste directly depending on the tools you use. For teachers distributing materials in a learning platform, this saves a real amount of time.

What Does AI Still Get Wrong?

Two failure modes come up consistently, and knowing them in advance is most of the value here.

The first is reverting to general vocabulary despite a specific profession specified. You ask for pharmaceutical sales vocabulary and get a list that includes verhandeln (to negotiate) and Zielgruppe (target audience). Both are real German words, but not specific to pharmaceutical sales. Try just running the prompt again and see if it returns a different result or add something like "Avoid general business vocabulary that would apply to any industry. Focus only on terms that a professional in this specific field would need." 

The second failure mode is example sentences that are grammatically correct but contextually thin. The sentence "Sie präsentierte die Studienergebnisse dem Ausschuss" (She presented the study results to the committee) is technically fine, but it may not show how the word behaves in actual professional speech. Asking for "a sentence that reflects how a pharmaceutical sales professional would actually say this in a meeting" produces noticeably more natural output. You're giving AI a persona to write from, not just a topic to write about.

In both cases, your job as a teacher is still the final review. You know your learner's context in a way the prompt can only approximate. AI gets you 80 to 90% of the way there. The last 10% adjustment that makes a list feel like it was made specifically for her, is still yours.

What Happens After the List?

Generating a vocabulary list is step one. The gap that opens up after is a familiar one: you have 12 carefully selected terms, and your learner has a busy week with three other things pulling at her attention. Whether she actually reviews the list before the next session depends less on how good the list is and more on how easily she can access and practice it.

For the vocabulary generation itself, Chapter 5 of our AI guide goes further. It covers frequency-based approaches, vocabulary extraction from authentic texts, and exercise generation prompts.