How to build a prompt set for a pharma or life sciences brand, with best practices and examples
Patients, caregivers, and prescribers ask different questions about the same condition, so the prompt set needs to speak to each audience separately and keep branded and unbranded prompts apart. Ask the medical, legal, and regulatory teams to review the set before you track it.
Replace [brand], [condition], and [treatment class] in the example prompts with your own values.
Topic
Example prompt
Condition education
What causes plaque psoriasis, and when should I see a specialist?
Cost and coverage
Does insurance cover [brand], and is there a copay program?
Treatment options
What treatments exist for moderate plaque psoriasis beyond creams?
Patient support programs
What help is there for starting a new injectable treatment?
Brand questions
What is [brand] used for, and who shouldn’t take it?
Prescriber questions
What does the latest data say about [treatment class] for adults?
Safety and side effects
What are common side effects of biologics for psoriasis?
Awareness months and launches
What is new in treatment for [condition] this year?
Make prompts more specific. Instead of “What are the treatment options for moderate plaque psoriasis?”, try “I was diagnosed with plaque psoriasis last year and creams aren’t working. What treatment options are there for moderate plaque psoriasis beyond topical creams, and how do they differ?”
One prompt = one topic. Topics shouldn’t overlap. Put funnel stage, campaign, and season in tags instead.
Ask it like a person would. Write the full question someone would type or say.
Track only prompts that matter to the business. Thousands of small variations of the same question make trends harder to read.
Keep coverage and depth apart.Coverage topics include broad prompts for each business line. Add two to five depth topics for your priorities, and keep new prompts out of the coverage topics.
Retire seasonal prompts. Disable seasonal and news-driven prompts once they go stale. If you reword a prompt, you’re measuring something new, so don’t compare trends across the change.
Use AI Marketer (Aim) to make your prompts better. Paste one of these questions to an Aim chat to see which prompts to add, cut, or tag. Swap the [values in brackets] for your own.
Ask
What you get
Which indication, safety, or dosing claims about our brand are wrong or out of date in AI answers?
Facts to put under FactCheck
What are patients asking AI about [condition] that my prompts don’t cover?
Unanswered patient questions
Compare my visibility on branded and unbranded prompts for [condition].
Where the gap is
Which sources do AI answers cite for [condition] treatments, and are we on them?
Which sources shape visibility for the condition
What should I add around [awareness month] or a new data release?
Use words like “brands” or “stores” in your prompts. For example, “What should I look for in a running shoe?” returns a checklist of features, and “Which brands make the best running shoes for flat feet?” returns a list of brands, which is the answer you can measure your brand against.
Give every comparison a use case. A “[brand] vs [competitor]” prompt alone returns an “it depends” answer. Add who is asking and why: “[brand] vs [competitor] for a 50-person team that already uses Salesforce” gives the AI enough context to pick one.
Spell out any unclear term the first time. An acronym or internal product name can derail the answer. Write “generative engine optimization tools” rather than “GEO tools”, and name the product category rather than using a code word only your team uses for it.
Say what you want without pushing toward your own brand. The question “Which project management tools, like [brand], are best for marketing teams?” nudges the AI toward your brand and tells you nothing about whether it would have named you on its own.