The problem: searching for buyers manually is inefficient

Every real estate agent knows the frustration: you have a fantastic property and a database of hundreds of leads, but finding which of those contacts is a perfect fit for that listing is like searching for a needle in a haystack. The traditional method involves reviewing profiles one by one, recalling past conversations, and mentally cross-referencing budgets, areas, and preferences. It is slow, error-prone, and consumes hours that should be spent closing deals.Industry data shows that an average agent spends between 20 and 45 minutes manually searching for compatible buyers every time they list a new property. Multiply that by 10 or 20 listings in your portfolio and you have entire days lost on tasks a machine can solve in seconds.

What is KI-Match and how does compatibility scoring work

KI-Match is an intelligent matching system that assigns a score from 0 to 100 to every lead-property combination. The score reflects compatibility based on over 20 variables: stated budget, preferred search area, number of bedrooms, desired square footage, proximity to schools or transit, and implicit preferences the AI extracts from past conversations and interactions.A score of 90 means the lead meets virtually all criteria and has a high probability of interest. A score of 50 indicates partial compatibility — perhaps the budget fits but the area is not ideal. Below 30, the likelihood of interest is low. This system eliminates subjectivity and lets the agent focus on matches that genuinely have potential.

Beyond budget: the variables that make the difference

Property portals do basic matching: they filter by price and location. But the decision to buy a home involves far more subtle factors than a price range. A buyer may say they want a 3-bedroom flat in the city center, but their interactions show interest in properties with terraces near parks. These implicit preferences are gold for matching.Camilia's KI-Match analyzes each lead's full history: which properties they viewed, which they dismissed, what questions they asked, how long they spent on each listing, and what characteristics their most-liked properties share. With this information, the AI can recommend properties the lead did not know they were looking for but that perfectly match their behavioral pattern.

Automatic notifications: the right moment, the right buyer

A perfect match is useless if the agent does not act in time. That is why KI-Match sends automatic notifications when it detects high compatibility. When you list a new property, the system scans your entire lead database in seconds and identifies the most compatible buyers. You receive an alert with leads ranked by score, ready to contact.It also works in reverse: when a new lead enters your CRM, KI-Match instantly cross-references them against your property portfolio and suggests the most relevant listings to send as a first proposal. This bidirectionality ensures that no opportunity is lost due to lack of time or memory. The agent always has the right information at the right moment.

Real results and how to get started

Agents using intelligent matching report a 60% reduction in time spent searching for properties for each client and a 40% increase in the rate of viewings that result in offers. The reason is simple: when you present a buyer with a property that truly fits their needs, the probability of progressing through the process skyrockets.Trying KI-Match is free with Camilia's 14-day trial. You just need to import your leads and properties, and the system starts generating matches automatically. The more data it has, the more accurate it becomes. Within days you will have a system connecting buyers with properties better than any manual process ever could.