Property Research
Agent
Takes a client brief, researches listings, suburb stats, school zones and recent sales in the background, and returns a shortlist report within the hour.
The problem worth solving.
A buyers agent gets a brief like "3 bedroom, inner north Melbourne, $900k to $1.1m, good schools nearby". Turning that into a shortlist means searching listings, checking suburb stats, confirming school zones and comparing recent sales. That is half a day of research per client.
It is valuable work, but most of it is gathering and cross-checking information rather than applying the agent's judgement, which is what clients are really paying for.
How it works.
We built a web app with a brief input form. The agent runs in the background, searching listing data, pulling suburb stats, checking school zones and reviewing recent sales against the brief.
It then generates a shortlist report as a PDF that the buyers agent can review and send to their client within the hour, instead of after half a day of manual research.
1. Enter the client brief. Bedrooms, location, budget and priorities go into a simple form.
2. The agent searches. Listings that match the brief are found and filtered.
3. Context is added. Suburb stats, school zones and recent sales are pulled for each candidate.
4. A shortlist is built. The strongest matches are ranked with the reasons they fit.
5. Review and send. The buyers agent checks the PDF report and sends it to the client.
What it delivers.
Brief input form in the client's own words.
Runs in the background while the agent works on other things.
Listing data, suburb stats, school zones and recent sales in one report.
Shortlist ranked against the original brief.
PDF output ready to send after a quick review.
The stack.
Got a process like this one?
If a repetitive task is eating your week, we can build the system that takes it off your plate. Let’s talk.