Four solutions, one commercial focus
Most pharma teams start where the pressure is: build a custom system, get a decision checked, lift adoption, or find out what AI assistants say about their brands. Many use more than one in sequence. Here is what each one is, and who it is for.
Consulting and an independent Second Opinion
Best for: you have a major commercial decision on the table and want it pressure-tested before you commit.
- Structured diagnostics that locate the real commercial problem
- Practical frameworks your team keeps and reuses
- Capability building, so the improvement stays after we leave
New: independent pre signature review →
Bespoke AI systems built around your data
Best for: you need a custom AI system built around your own data and workflows, not a generic tool.
- Pharma-native intelligence, built around your workflows and commercial context
- A clear commercial outcome defined before we build anything
- Speed to value: strategic discovery in weeks one and two, rapid prototyping by weeks three to six
Training and adoption that sticks
Best for: your teams have AI tools but are not yet using them in daily work.
- Role-based, workflow-level training for sales, product, and BU teams
- Explainability built in, so teams trust what the AI suggests
- Prompt labs and case simulations on your real, everyday tasks
AI visibility for your brands and your company, through GetPreferred
Best for brand, marketing and digital heads at OTC, cosmetic and nutraceutical brands, and corporate communications and business development heads at pharma companies, who want to know what AI assistants tell buyers about them.
- A free baseline: the buyer questions for your category put to five AI assistants, and which brands they name.
- Facts your team confirms in writing, a website AI assistants can read, and presence beyond your website. Nothing is published without your written approval.
- The same questions re-tested every month, every answer read and counted by a person, with the change against the baseline.
Four ways to work with GetPreferred: full service, launch support, monitoring only, pharma companies →