Turning property search into an AI-powered lead engine - driving 179% more enquiries

The Problem

Propertynews had the audience, the brand and the trust - but the product was creating friction it didn't need to. Property details relied on manual data entry, with around 30% needing correction before going live. The search didn’t reflect how buyers actually think - the things that matter, like a garage, a downstairs toilet or broadband speed, weren’t searchable. And enquiries outside office hours went unanswered - a real cost in a category where timing and responsiveness directly affect revenue for estate agents.

What we built

We engineered AI into the product at three critical layers - data, search and engagement.

An AI agent now automatically reads, categorises and indexes every property uploaded, eliminating manual review entirely and surfacing features that were previously uncaptured and unsearchable.

The property search has evolved from basic filtering to intent-driven discovery - letting users now search across 30+ attributes, from garden rooms to broadband speeds, reflecting how people actually choose a home.

And Liv AI - a custom-built, sector-first AI property assistant, has transformed how enquiries are captured and converted. Instead of relying on office hours or manual responses, users can now ask questions, explore local context and book viewings instantly, 24/7.

Why it worked

The impact came from treating AI as a product decision, not a feature.

Each capability was designed to reinforce the next. Better data made search more powerful. Better search increased engagement. And Liv AI converted that engagement into enquiries that would previously have been lost - especially outside of office hours.

Liv AI wasn’t just an assistant layered on top of the product. It became the conversion layer, turning passive browsing into real-time interaction and capturing demand at the point it would otherwise disappear.

The result was a product that didn’t just improve - it outperformed.