Case study 01 · Living Assets

Making AI discoverability a product category

Product strategy · Category design · Partnerships · AI search

Role

Product and growth strategy

Focus

AI search, product positioning, partnerships, market education

Industry

AI, media, publishing

The challenge

The challenge

Search was changing from a page of links into a conversation with an agent.

For publishers, media companies, and brands, that created a new and poorly understood problem: how do you know whether AI systems can find, understand, cite, or recommend you?

My role

My role

I helped shape the product 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, research, and commercial strategy. We needed to make agentic search concrete enough for customers to care about now, without pretending the underlying ecosystem was more stable than it was.

What we did

What we did

Turned an emerging behaviour into a clear problem

We framed AI discoverability as a practical business question: when a customer asks an AI system for a recommendation, does your brand appear, and can you influence the answer? This shifted the conversation away from abstract AI visibility and toward brand discovery, category presence, and commercial risk.

Built the bridge between data and action

Living Assets transformed brand and public data into structured knowledge graphs, making it easier for AI systems and search agents to find, understand, and use. By connecting content, entities, licensing, and source relationships, it improved AI 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 AI 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.