Case Study
Translating AI-Powered Drug Discovery Capabilities into Clear, Customer-Focused Website Content
The Challenge
Artificial intelligence has become a prominent theme across life sciences, but many organizations struggle to communicate AI capabilities in a way that resonates with researchers and decision-makers. Technical descriptions often focus on algorithms and platform features rather than the real-world scientific and operational challenges customers face.
A life sciences informatics company needed customer-facing website content that would position its portfolio as an enabler of AI-driven research while remaining grounded in the practical needs of drug discovery teams. The content needed to support SEO objectives, align with broader corporate messaging, and communicate value across multiple modalities and stages of the discovery process.
Our Approach
Quill Science partnered with Biofluent Communications, Brandwidth Solutions, and the client company to develop a series of AI-focused website pages supporting the company's drug discovery and R&D solutions. The project included both modality-specific and broader platform-level content. For this project, Biofluent Communications and Brandwidth Solutions handled business development and project scoping; Quill Science handled strategy and writing.
Work included:
Reviewing existing messaging, product positioning, and source materials
Translating complex informatics and AI capabilities into audience-centered value propositions
Developing page architecture and content flow
Writing SEO-informed web copy designed to support discoverability and user engagement
Aligning page messaging with the client’s larger AI strategy
Collaborating through multiple review cycles to incorporate stakeholder feedback
Deliverables
For each webpage, Quill Science developed:
Metadata and SEO descriptions
H1 headlines and page-level messaging
Core body copy
Calls to action
"Big Spotlight" feature content
Value proposition sections organized around key workflow stages
Supporting resource descriptions and promotional copy designed to encourage content engagement The Outcome
Areas of Focus
The content emphasized how AI can help researchers:
Design experiments more effectively
Accelerate decision-making
Organize and leverage complex scientific data
Improve efficiency across drug discovery workflows
Connect insights across research functions and modalities
Rather than positioning the company as simply another AI company, the messaging focused on how their software platform helps scientists apply AI in practical ways that support research productivity and innovation.
Project Highlights
Developed content for multiple AI-focused web pages supporting life sciences software solutions
Created messaging spanning both modality-specific and enterprise-level drug discovery applications
Combined scientific understanding, marketing strategy, and SEO considerations within a unified content framework
Helped translate highly technical capabilities into clear, audience-relevant website content for researchers and R&D stakeholders
Services Provided
Scientific messaging
Content strategy
Website copywriting
SEO-informed content development
Life sciences marketing communications
Stakeholder content refinement and review support