Built a structured search architecture connecting scientific entities, research topics and biotech applications to strengthen visibility across complex US searches.
Connected scientific entities, technical content and application-level relationships to strengthen semantic authority across priority biotech topics.
The biotech company had deep scientific expertise, but search engines did not consistently understand the relationships between its technologies, applications and research topics.
The site covered complex areas such as cell and gene therapy, genomics, biologics, molecular diagnostics and drug discovery, but these subjects were often presented as separate pages rather than one connected scientific knowledge structure.
We rebuilt the architecture around scientific entities, research topics, technologies and applications, connecting technical content with commercial pages to make the site's expertise easier to understand, discover and trust.
The company had strong offerings, but organic and AI search presence fell short because the architecture was not built to scale.
Biologics, genomics, diagnostics and cell therapy topics lacked enough semantic connections to related technologies, applications and research areas.
Scientific searches often moved from definitions to mechanisms, applications and commercial solutions. The content needed to support that progression.
The site contained valuable scientific information, but its entities, terminology and relationships needed clearer structure for search systems to interpret.
The opportunity was not more scientific content. It was making the relationships between scientific concepts clear enough to build entity-level trust.
We combined technical SEO with scalable search expansion: build the technical foundation first, map intent, and scale the assets that drive business value.
Mapped technologies, research areas, products and applications into a connected semantic structure.
Created structured topic clusters across genomics, biologics, diagnostics, cell therapy and drug discovery.
Restructured technical content around definitions, mechanisms, applications, use cases and related scientific questions.
Structured important scientific answers and entity relationships so AI systems could better identify authoritative source information.
Rather than generic tactics, we executed disciplined workstreams engineered for compounding organic and AI search visibility.
The connected entity, content and technical architecture strengthened how search systems interpreted the site's scientific expertise.
Connected technologies, research areas, applications and commercial offerings into clearer topic relationships.
Expanded depth across genomics, cell therapy, biologics, diagnostics and drug discovery topics.
Made complex scientific information easier to identify, interpret and connect to authoritative source content.
The biggest change was making our scientific expertise understandable as a connected body of knowledge rather than a collection of individual pages.
The combination of stronger product architecture, cleaner indexation, and improved shopping signals created a scalable foundation for product discovery.