Have you researched that overseas customer? Yes. Thoroughly? Better not think too hard about it. After receiving an inquiry, most salespeople need to decide within half an hour whether the prospect is worth pursuing. Yet by the time they have manually searched LinkedIn, the company's website, and industry news, two hours have passed, and the lead has already gone cold. WorkBuddy's Ask mode brings scattered customer information together, letting you complete with a single prompt the research that once took two hours.
Why Traditional Customer Research Takes So Long
The fundamental reason overseas customer research takes so much time is not that information is hard to find, but that it is scattered everywhere. A complete customer profile requires you to investigate the company's background, credit standing, decision-makers' career histories, recent developments, and purchasing needs. That information is spread across a dozen or more sources, including LinkedIn, Crunchbase, Google News, company websites, and industry forums. Opening each source, copying details, and compiling them manually consumes plenty of time just switching between tabs.
Even worse, fragmented information creates a second problem: it lacks structure. Once salespeople have collected a pile of disconnected facts, they still need to determine what is credible, what is noise, and what can be turned into a follow-up strategy. This second round of analysis often takes more time than the research itself.
Traditional research also carries a hidden cost: it cannot be reused. When another team member needs the same customer information later, they must start all over again. WorkBuddy's core value is that it combines searching and organizing into a single action, turning customer research from manual busywork into the output of a well-written prompt.
Assigning a Research Task with the Three-Part Prompt Framework
WorkBuddy executes tasks according to a three-part framework: role, task, and output. When all three elements are written clearly, the AI can understand exactly what you need. When they are not, it returns a pile of information you would hesitate to use.
Poor Example: Many people habitually write, "Help me look up this company." With such a vague prompt, WorkBuddy returns a collection of ambiguous public information that you still have to filter yourself.
Effective Example: A strong prompt should look like this:
"You are an experienced international trade salesperson. Research a mechanical equipment supplier named [Company Name] in California, United States. The task includes: 1) basic company information from Crunchbase and LinkedIn, including its founding date, size, and funding rounds; 2) Google News coverage from the past 12 months; 3) the LinkedIn career history of the CEO or person responsible for purchasing; and 4) a comparison of its market positioning with similar suppliers. Organize the information in a structured table with the following fields: company name, year founded, employee count, summary of recent news, decision-maker's name and title, and key insight, including whether the company is worth pursuing and why."
Why does this prompt work? Because it clearly defines three things:
- Role: You are an international trade salesperson, so the AI will filter information from a sales perspective rather than a general one.
- Task: It specifies which type of information to find on each website. The more precise the task, the more accurate the output.
- Output: It explicitly requests a table and includes the decision field "Is this prospect worth pursuing?" This is an extra step that many salespeople would rather skip.
The three-part prompt framework is not about piling on more words. It is about translating the idea in your head into actions the AI can execute. Information gaps create deal gaps; AI simply helps you win back the time.
Choosing Between Ask and Plan Modes
WorkBuddy offers three modes: Ask, Plan, and Craft. Ask is sufficient for 90% of customer research scenarios, while more complex cases call for Plan.
Ask Mode: Read-only Q&A, making it the safest option. You give WorkBuddy a prompt, and it searches online and returns consolidated results. It uses the fewest credits and is ideal for a quick initial assessment. For example, if you receive an inquiry on Monday morning and need to decide within 30 minutes whether the prospect is worth pursuing, you can submit a prompt in Ask mode and receive a basic customer profile within tens of seconds to a few minutes.
Plan Mode: WorkBuddy presents an execution plan first and acts only after you confirm it. This mode suits scenarios involving large amounts of sensitive information. For example, if the customer involves corporate entities in several countries or you need to cross-check multiple data sources, Plan mode first shows which channels it intends to search and what format it will use. Once you confirm the plan, it proceeds. Using Plan for complex research reduces the risk of the AI going off track.
Craft Mode: Executes directly with full permissions. This mode is better suited to processing local files, such as merging several research reports into a complete customer dossier or turning AI-generated text directly into an Excel spreadsheet. Craft is used less often during the research itself, but it is useful when organizing the final deliverables.
The rule of thumb is simple: start with Ask for small tasks, use Plan for complex research, and also choose Ask when you only want advice, such as asking, "What risks does this customer present?"
Turning Research Results into a Customer Profile Table
AI output can be fragmented, so you need to turn it into decision-ready information your team can use immediately. The best approach is to have WorkBuddy generate a structured table directly, or to extract the key fields yourself.
A useful customer profile table should include at least the following fields:
- Basic Information: Company name, year founded, country or city, employee count, and website.
- Credit and Business Strength: Funding rounds, estimated annual revenue, industry ranking, and Crunchbase score.
- Decision-Makers: Name, title, summary of LinkedIn career history, and relevance to your business.
- Activity Signals: Important news from the past 6 to 12 months, signs of business expansion, and management changes.
- Needs Alignment: Purchasing needs inferred from public information, budget range, and decision timeline.
- Conclusion and Recommendations: Whether the prospect is worth pursuing, its priority, and the follow-up strategy.
The key field here is "Conclusion and Recommendations." AI can help you gather information, but deciding whether a prospect is worth pursuing requires your business experience. AI helps consolidate information quickly; the final decision still requires a person to verify the critical details.
If you regularly research the same type of customer, you can save the table template above as a WorkBuddy Skill. The next time you need it, call the Skill directly and get the result in one minute.
What to Do Next
Try it now: open WorkBuddy, replace [Company Name] in the prompt template above with the name of a pending prospect, submit the prompt, and wait for the results. If the first response is not precise enough, perhaps because a data source is missing or the format is wrong, send another prompt to refine it.
AI-assisted customer research is not a magic tool that gets everything perfect on the first try. It is a productivity lever that compresses two hours of manual work into five minutes of prompting plus five minutes of human review. Information gaps create deal gaps. Win back the time, and your inquiry conversion rate will naturally improve.
If you want to improve your customer research process further or build a team-wide customer profiling SOP, contact Gongban AI through the form at the bottom of the official website for a one-on-one implementation plan tailored to your scenario.