The Discovery Bridge enables researchers to access scholarly content directly through AI assistants while preserving subscription boundaries and institutional access controls. Leveraging Model Context Protocol (MCP), agentic AI assistants can search scholarly content by way of users’ natural language queries, providing seamless access to the full-text content directly within existing AI workflows. By integrating with existing entitlement systems, the Discovery Bridge not only extends the value of publisher content to existing users, but also unlocks new future revenue opportunities through consumption-based licensing and corporate content bundles. Direct connection to AI assistants also helps to safeguard research integrity by automatically excluding retracted articles, ensuring only current, validated content reaches researchers.
With the Discovery Bridge, publishers can capture more value as AI assistants become essential research tools, ensuring their content remains discoverable and accessible through the channels researchers increasingly prefer.

Protect market position as AI assistants become research workbenches: Publishers who make content natively accessible in these environments maintain relevance and capture usage; those who don’t risk becoming invisible to the next generation of researchers.
Unlock new revenue: Corporate content bundles and consumption-based licensing create genuinely new markets beyond traditional academic subscriptions, from pharmaceutical companies licensing biomedical research, to aerospace firms subscribing to engineering collections.
Respect existing business rules while expanding reach: Integration with your entitlement systems maintains paywall effectiveness and subscription boundaries. You control content availability and pricing so the Discovery Bridge extends rather than disrupts your business models.
Enhanced discovery with protected access: Researchers discover and access your content where they’re already working—inside AI assistants—through intuitive natural language search that respects subscription controls.
Future-ready infrastructure investment: Core capabilities like authenticated semantic search, access management, and efficient content discovery will remain valuable regardless of which AI protocols dominate.
Simplified implementation: Leverage Silverchair’s existing platform services for vector database, entitlement integration, authentication, analytics, and optimization without separate infrastructure investments.
``The research ecosystem is quickly evolving as many end users are using chatbots like ChatGPT or agentic tools to discover and engage with scholarly content. Our Discovery Bridge gives publishers the necessary infrastructure to deliver their insights and content into AI solutions while protecting their valuable intellectual property and creating new revenue streams. This is one way we're helping our clients with their AI innovation and an important way we can help amplify the impact of scholarship.`` - Will Schweitzer, Silverchair CEO