The best starting prompts reflect decisions your customers actually make. Start with a few distinct questions rather than many near-identical rewrites of the same sentence.
Cover different customer needs
| Intent | Illustrative prompt |
|---|---|
| Discovery | Which providers offer this type of service? |
| Fit | Which solution suits a small team with limited setup time? |
| Recommendation | Which providers would you recommend for this use case? |
| Comparison | What should I compare when choosing between providers? |
Replace the generic service and audience with your real offer. A vague question produces a broad answer that may not be useful for your business.
Keep the brand out of discovery prompts
“Which accounting software suits a freelancer?” tests discovery. “Why is Brand X good for freelancers?” inserts the brand and a positive assumption. Those questions should not be mixed into a single discovery score.
You can also investigate branded questions, but label their purpose and interpret them separately. They can be useful for checking descriptions and accuracy.
Use customer language
Ask sales and support teams which questions recur. Look for differences in audience, geography, buying stage and constraints. Keep prompts natural: do not add keyword lists or demand that the model name your business.
An extra language or market represents another customer context. It also means extra prompt combinations to monitor. Adding several spelling variations is not necessarily the best use of your scan credits.
Plan the scope before starting
Five prompts across two models at Medium depth produce 30 answers in one mode: 5 × 2 × 3. Running both supported modes would double that scope. Your plan determines eligible depth and frequency.
Start with the questions you would actually act on. Keep approved versions stable to make later results comparable. Use the calculator on pricing and read how comparisons work.