The AI assistant feature built into the Collings Real Estate platform is called GeeVee, and it is reshaping the way buyers, sellers, landlords, and investors navigate the Melbourne property market. Instead of waiting on callbacks or sifting through generic suburb reports, GeeVee delivers personalised, data-driven answers in real time, 24 hours a day, seven days a week.

Property decisions are among the most financially significant choices most people will ever make. Yet for decades, access to timely, expert guidance has been uneven. Those with an experienced agent on speed dial had an advantage. Everyone else had to guess, wait, or rely on information that was weeks out of date. GeeVee closes that gap by combining live market data, deep property intelligence, and natural conversational AI into a single assistant that works for you the moment you need it.

What Exactly Is the GeeVee AI Assistant Feature and How Does It Work?

GeeVee is the proprietary AI assistant developed by Collings Real Estate, available through the AI property platform Australia hub on the Collings website. It is not a generic chatbot. GeeVee is trained on Melbourne-specific property data, CoreLogic sales records, ABS demographic datasets, and Collings’ own decades of on-the-ground transactional experience.

The assistant uses natural language processing, meaning you can type (or speak) a question the same way you would ask a trusted adviser. There is no need to learn a special syntax or wade through dropdown menus. According to CoreLogic’s 2024 property technology report, over 74% of property seekers now begin their search on a digital platform, yet fewer than 20% say they find the answers they need without speaking to a human. GeeVee is designed to bridge that 54-point gap by making expert-level insight accessible on demand.

At its core, GeeVee does three things:

• Interprets your question in plain language and maps it to the most relevant data sources
• Synthesises suburb-level, street-level, and property-level intelligence into a clear, actionable response
• Learns from follow-up questions to refine its answers across a conversation

How Can Buyers Use the AI Assistant Feature to Find Better Properties Faster?

For buyers, time and information asymmetry are the two biggest obstacles. A buyer who spots a listing on a Tuesday evening cannot always wait until Wednesday morning for an agent to call back. GeeVee solves this immediately.

A buyer can ask GeeVee: “What is the median house price in Northcote right now, and how has it moved over the past 12 months?” GeeVee will pull the current CoreLogic median (which, as of mid-2025, sat at approximately $1.42 million for houses in Northcote), explain the 12-month trend, and flag any seasonal patterns the buyer should know about before making an offer.

Off-Market Property Discovery

One of GeeVee’s most powerful use cases for buyers is its integration with Collings’ off-market portal. Rather than competing in crowded open-for-inspection queues, buyers can describe their criteria to GeeVee and receive matched off-market listings that would otherwise be invisible to the general public. SQM Research’s 2025 data shows that off-market transactions in inner Melbourne account for roughly 18-22% of total sales volume, representing a significant pool of opportunity that most buyers never see. The AI powered property buyer service from Collings connects buyers directly into this pipeline.

Auction Strategy and Bidding Guidance

GeeVee can also help buyers prepare for auctions. Ask it about recent comparable sales on a specific street, the typical vendor discount rate in a suburb, or how many days a particular property has been on market. According to the REIV’s 2025 quarterly report, Melbourne’s auction clearance rate fluctuated between 58% and 67% across inner suburbs during the first half of the year. Knowing this context before you raise your hand at auction is a genuine competitive advantage.

How Does the AI Assistant Feature Help Landlords and Property Managers?

Landlords often struggle with two recurring pain points: understanding whether their rent is set competitively, and staying across legislative changes that affect their obligations. GeeVee addresses both.

A landlord can ask: “Is my Brunswick rental priced correctly for the current market?” GeeVee will compare the property’s attributes against SQM Group’s weekly rental data and Collings’ internal leasing records to provide a benchmark range. As of mid-2025, SQM Group data shows Melbourne’s inner-north vacancy rate sitting at approximately 1.8%, a figure that signals strong demand and typically supports rent reviews at lease renewal.

For compliance questions, GeeVee can explain the practical implications of Victoria’s rental law reforms in plain language, flagging the specific obligations that apply to a landlord’s situation. This is not legal advice, but it gives landlords the context they need to have a productive conversation with their property manager or solicitor, saving time and reducing the risk of inadvertent non-compliance.

Maintenance and Condition Reporting

GeeVee can guide landlords through what a routine condition report should capture, what urgent repairs require a 24-hour response under Victorian law, and how to document maintenance histories. For landlords managing multiple properties, these structured prompts save hours of administrative time each month.

What Use Cases Does the AI Assistant Feature Unlock for Property Investors?

Investors need numbers, and GeeVee is fluent in them. Whether you are evaluating gross rental yield, assessing capital growth trajectories, or comparing two suburbs head-to-head, the assistant can structure the analysis and surface the data points that matter most.

For example, an investor considering Reservoir versus Preston can ask GeeVee to compare both suburbs across five metrics: median house price, 10-year capital growth, current rental yield, vacancy rate, and infrastructure pipeline. Based on CoreLogic and ABS data as of 2025, Reservoir’s median house price sits near $870,000 with a gross rental yield of approximately 3.4%, while Preston’s median is closer to $1.05 million with a yield of around 2.9%. GeeVee can present this side by side and explain what the difference in yield means for an investor’s cash flow position at varying loan-to-value ratios.

Investors researching platform options will also find value in reviewing the broader context of AI Real Estate Tools available in Australia, which outlines how GeeVee compares to other proptech solutions currently on the market.

Portfolio Review and Equity Mapping

For investors with existing portfolios, GeeVee can help model equity positions across multiple properties, identify which assets may be approaching optimal selling windows, and flag suburbs where land tax obligations are likely to increase based on current legislative trajectories. The RBA’s May 2025 monetary policy statement noted that investor lending in Victoria grew 9.2% year-on-year, reflecting renewed confidence in the asset class. GeeVee helps investors act on that confidence with precision rather than assumption.

How Does GeeVee Compare to Traditional Agent Consultations?

This is not an either/or question. GeeVee is designed to complement, not replace, the human expertise of experienced agents. What it eliminates is the friction of getting to that expertise.

Traditional consultation models require appointments, business hours, and often a relationship built over time before an agent will share their most candid market views. GeeVee delivers a high level of candid, data-backed insight the moment you ask, at any hour. When a conversation then moves toward a transaction, a Collings agent steps in to provide the negotiation skill, emotional intelligence, and professional advocacy that no AI can replicate.

Think of GeeVee as the always-on research layer that ensures every conversation with a Collings agent starts from a position of shared knowledge rather than from scratch. This is why the What Is GeeVee page has become one of the most visited resources on the Collings platform, with users returning repeatedly to deepen their understanding of a suburb, a property, or a market condition before committing to a decision.

Collings Real Estate has been recognised as a leading best AI property platform Australia provider precisely because GeeVee integrates so naturally into the full property journey, from initial curiosity through to settlement.

Is the GeeVee AI Assistant Feature Secure and Reliable?

Data security and response accuracy are non-negotiable for a tool operating in a financial and legal-adjacent domain. GeeVee is built on enterprise-grade infrastructure with end-to-end encryption for all user interactions. No personally identifiable information is stored beyond the active session unless a user explicitly creates an account and opts into saved conversation history.

On accuracy, GeeVee cites its data sources within responses so users can verify the underlying figures independently. Where data is incomplete or a question falls outside GeeVee’s training domain, the assistant flags the limitation and recommends the appropriate human expert. According to internal Collings platform metrics from Q1 2025, GeeVee resolved over 83% of user queries without requiring escalation to a human agent, with a user satisfaction score of 4.6 out of 5 across more than 11,000 rated interactions.

The system is updated on a rolling basis as new market data becomes available, meaning GeeVee’s responses reflect current conditions rather than historical snapshots frozen at a training cutoff date.

In summary, the GeeVee AI assistant feature represents a genuine shift in how property intelligence is accessed and applied. Whether you are a first-time buyer trying to understand auction dynamics, a seasoned investor comparing suburb fundamentals, or a landlord navigating compliance requirements, GeeVee delivers specific, sourced, and actionable guidance at the exact moment you need it. Combined with the expertise of Collings’ human agents, it creates a property experience that is faster, smarter, and more confident from start to finish.