Pharmaceuticals: Accelerating Discovery with Generative AI Strategy

How Sloane advised one pharmaceutical company amid the transformational impact of AI Search on brand and product visibility.

"In the U.S., around 15 million adults used generative AI as their primary tool for online search in 2024, with projections growing through 2028.” - Source: Statista

By the Numbers

165x
faster growth in generative AI traffic compared to organic search traffic since January 2024.
3.5%
rise in drug visibility across GLP-1 related searches (up from under 2%).
79%
improvement in visibility score post-phase II data launch.
78%
rise in share of voice across key AI platforms.

What was the challenge?

Generative AI is revolutionizing the way users discover information, growing 165 times faster than organic search traffic since January 2024. Sloane, in collaboration with the in-house team, advanced an opportunity to integrate a generative engine strategy for a leading pharmaceutical company’s GLP-1 phase II data launch.

What was the approach?

By planning for generative engine platforms like ChatGPT, Perplexity, and Copilot, the team developed a launch approach optimized for generative engines, identifying new media targets with strong influence.

The team conducted a comprehensive analysis of drug visibility across AI platforms, benchmarked performance against competitors, and tracked key metrics such as manufacturer reputation, clinical trial results, and treatment efficacy.

What were the results?

A 79% rise in visibility score, a 78% increase in share-of-voice, and a significant boost in relevance across critical content categories post-announcement.

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