Case study 01 · Living Assets
Positioning a new category of AI discoverability
Product marketing · Category positioning · Agentic search · Market education
Role
Product shaping, marketing, and growth strategy
Focus
Category positioning, product narrative, agentic search, market education
Industry
AI infrastructure, media, publishing
The challenge
The challenge
Search was changing from a page of links into a conversation with a model.
For publishers, media companies, and brands, that created a new and poorly understood problem: how do you know whether frontier models and retrieval systems can find, understand, cite, or recommend you?
My role
My role
I helped shape the product marketing and growth strategy for Living Assets: defining the customer problem, clarifying the market story, developing the product narrative, and identifying strategic partnership opportunities.
The work sat between product, ML research, and commercial strategy. We needed to make retrieval and agentic search concrete enough for customers to care about now, without pretending the underlying model ecosystem was more stable than it was.
What we did
What we did
Turned an emerging model behaviour into a clear problem
We framed AI discoverability as a practical business question: when a customer asks a model for a recommendation, does your brand appear in the retrieved context, and can you influence the answer? This shifted the conversation away from abstract AI visibility and toward entity coverage, category presence, and commercial risk.
Built the data layer models could actually use
Living Assets transformed brand and public data into structured knowledge graphs with entity resolution and provenance, making it tractable for retrieval systems and search agents to ground answers. By connecting content, entities, licensing, and source relationships, it improved model visibility while strengthening the accuracy and trustworthiness of how brands and public information were represented.
Used research as a go-to-market engine
We developed research and thought leadership around model discoverability to educate the market while creating a credible entry point for customers and partners.
Outcome
Outcome
Living Assets established a focused point of view beyond AI discoverability at a moment when companies were beginning to recognise that traditional search visibility was no longer the full picture.
The work created a foundation for product development, market education, and commercial conversations around a new category of discovery.
What I learned
When the market lacks language for a problem, positioning is not a cosmetic layer. It is product strategy.