How Ray White won 37 extra listings in 90 days and sold them twice as fast

Ray White's prospecting depended on agents finding time between listings, appraisals and open homes, so outreach happened in bursts and went quiet exactly when the team was busiest. Briick built an AI system that prospects buyers and sellers continuously, works the existing database, and matches buyers to new listings. The agency reports around 37 extra listings in a single 90 day window, and days on market falling from an average of 45 to 60 days down to 14 to 21, a 30 to 50 percent faster sale timeline. Figures are client reported and approximate.

The challenge: outreach stops exactly when the team is busiest

Prospecting buyers and sellers depended on agents finding time between listings, appraisals and open homes. Outreach happened in bursts and went quiet exactly when the team was busiest.

That pattern has a cost that never appears on a report. The weeks the team is most productive on current stock are the same weeks nothing is being fed into the pipeline behind it. The gap shows up ninety days later as a thin listing book, and by then nobody can point to the week that caused it.

It is not a discipline problem. A listing presentation, an open home and a buyer callback all have a time on them and a person waiting. Prospecting has neither, so it loses every time the two compete for the same hour.

Real estate is all about relationships. AI doesn't replace that, it supercharges it! Agents using AI will replace those who don't because it tells us who to call at the exact right moment. That's how we get 37 more listings and sell them twice as fast.

Joseph Sharpe, Ray White

The solution: prospecting that does not wait for a gap in the calendar

Briick built an AI system that prospects buyers and sellers automatically and works the database continuously rather than in bursts. Three things run at the same time.

• It prospects buyers and sellers without waiting for a gap in an agent's calendar, so the pipeline keeps being fed through the weeks the team is flat out on current stock.
• It works the existing contact database continuously, so people who have gone quiet are still being touched rather than ageing out of anyone's memory.
• It matches buyers against new listings, so an agent is handed a conversation at the point it is worth having rather than a list to grind through.

The agents keep the relationship. The system decides the timing.

Why the timing is the product

The temptation with AI in real estate is to point it at volume: more calls, more emails, more contacts touched per week. Volume was never the constraint here. An agent who makes thirty calls to the wrong thirty people has had a bad day regardless of how efficiently the list was generated.

What the system changes is which thirty. In Joseph Sharpe's words, it tells the team who to call at the exact right moment. The database already held that answer. Nobody had the time to read it continuously, and a contact database only pays when somebody is reading it on the day the signal appears rather than the week someone gets around to it.

That is why the second number matters as much as the first. Extra listings come from reaching sellers at the right time. A faster sale comes from already knowing which buyers fit a property before it goes to market.

The results

Ray White reports around 37 extra listings in a single 90 day window. Buyer matching cut days on market from an average of 45 to 60 days down to 14 to 21, a 30 to 50 percent faster sale timeline. Figures are client reported and approximate.

How do real estate agencies use AI for prospecting?

Ray White uses an AI system that prospects buyers and sellers continuously instead of in bursts between listings and open homes. It works the existing contact database, matches buyers against new listings, and hands agents a conversation at the point it is worth having. The agent keeps the relationship and the system decides the timing.

How many extra listings did Ray White win using AI?

Ray White reports around 37 extra listings in a single 90 day window. The figure is client reported and approximate.

Can AI reduce days on market for a real estate agency?

For Ray White, buyer matching cut days on market from an average of 45 to 60 days down to 14 to 21. That is a 30 to 50 percent faster sale timeline, reported by the agency across a 90 day window.

Does AI replace real estate agents?

No. In Joseph Sharpe's words, AI does not replace the relationship, it supercharges it. The system finds the timing and the agent has the conversation. Briick builds AI agents that handle prospecting and follow up so the team spends its time on the conversations that need a person in them.