AI tools for real estate agents in Australia: The complete 2026 guide

Gemma Todd-McVinish
Head of Marketing
real-estate-agents-using-ai-tools

In this article

Everywhere you look, everyone is talking about AI and claiming it can save you thousands of dollars while helping you generate more business. 

In real estate, AI definitely has a place, and it can transform productivity. The challenge is knowing which AI is worth using, and making sure it doesn’t actually add to your existing workload. 

This guide looks at the real estate AI tools and features worth investing in for Australian agents in 2026 and 2027. 

Whether you're a principal weighing up a new platform or an agent asking what is the best AI for real estate right now, the answer starts with figuring out where you're losing the most time, and how you can leverage AI to ‘work smarter’ not harder.

What are the best AI tools for real estate agents in Australia?

The best AI tools for real estate agents in Australia fall into five categories: 

  • AI-enabled CRMs
  • AI writing tools
  • Automated valuation tools
  • AI-optimised digital advertising
  • A real estate AI assistant for logging calls and notes.

For most property agencies, an AI-enabled CRM delivers the biggest return on investment, because it sits at the centre of prospecting, follow-up and vendor communication. The other categories also add value, and are helpful when they feed back into that CRM.

AI tool category What it does Best for Relevant example
CRM with AI Prioritises contacts, automates follow-up, drafts messages and logs activity Agencies with large, under-used databases Rex CRM with AI filtering
AI writing Drafts listing copy, vendor updates, email campaigns and social posts Reducing time spent on property descriptions, communication & marketing AI assistants built into your CRM
Property valuation Produces AI-assisted price estimates from sales, listings and property data Appraisal preparation and early vendor conversations PropTrack, Cotality
Digital advertising Automates audience targeting and optimises ads during the campaign across social and digital channels Listing campaigns and building an agent's local profile Rex Reach
AI admin Turns voice notes and meetings into CRM records and tasks Agents on the road between client meetings, open homes and appraisals Voice-to-CRM logging tools (available within Rex Software)

Choose your AI tools based on where you're losing the most time right now, whether that’s following up, qualifying leads or creating marketing content. 

When it comes to automation and AI, an agent who spends too many evenings writing vendor reports needs a different starting point than one who hasn’t reached out to their database in a year.

It's also worth looking for a tool that’s homegrown. There are plenty of US-centric options available, but real estate agents in Australia and New Zealand often find these don’t reflect their working day. 

The other factor is keeping your AI in as few places as possible. Having fewer logins, fewer copy-and-paste requirements and fewer leads lost between systems will make life easier and ensure your team actually makes the most of the tools you invest in. 

Finally, look for AI that operates in a controlled environment. If it sits within a secure CRM and activities are visible to key business stakeholders, you’re minimising the risk of a ‘rogue’ agent or team member. 

Not sure where to start with AI adoption in real estate? Download our Practical AI for Real Estate Agents.

How can real estate agents use AI to improve prospecting and lead follow-up?

Prospecting is one of the most time-consuming parts of real estate (and often the most frustrating), but AI reduces the guesswork around who to reach out to. 

As a property agent, you can use AI to:

  • Score and prioritise database contacts based on engagement signals
  • Recommend the best people to call each day
  • Draft personalised follow-up messages
  • Schedule the next touchpoint automatically 

With AI on your side, you can make more calls where people say, “It’s great timing that you rang.”

How AI improves real estate prospecting: 

  1. Score every contact: AI ranks your database using engagement signals such as email opens, website visits, open home attendance, records of past conversations and the date of last contact.
  2. Surface a daily call list with context: Instead of a raw list of names, you see prompts like "hasn't been contacted in 90 days, opened three emails last week" or “asked to be contacted again in April”.
  3. Draft a follow-up message: AI writes a first-draft email or SMS based on the contact's history, which you review and personalise before sending.
  4. Log the outcome: Call notes and results can be recorded in the CRM by voice, so nothing relies on you remembering to make a note at the end of a long day.
  5. Set the next touchpoint: Ask your AI assistant to set a reminder for the next call or email, so no contact drops off the radar.

Existing contacts are often your best source of new listings. Because the relationship already exists, working your database with AI prospecting can cost far less than paying to reach new contacts through advertising. 

AI can also help you connect buyers with properties. For example, AI filtering within your CRM allows you to type ‘show me all buyers with a maximum budget of $1,200,000’ and see the results instantly.

What AI features should I look for in a real estate CRM?

The AI features worth looking for in a real estate CRM give you intelligent lead prioritisation, automated follow-up sequences, AI-assisted email and SMS drafting, voice-to-CRM logging and predictive signals that show when a property owner may be ready to sell. 

Skip features that need heavy setup or manual interpretation before they deliver anything useful.

Five AI CRM features actually worth having for real estate agents

  • Lead prioritisation: AI ranks contacts by likelihood to transact, so your best calls happen first.
  • Automated follow-up sequences: Emails and messages that keep buyers, vendors and appraisal leads warm with scheduled, relevant touchpoints that run in the background.
  • AI-assisted email and SMS drafting: Cuts the time spent writing vendor updates, buyer follow-ups and post-open home messages.
  • Voice-to-CRM logging: Lets you record call notes and meeting outcomes between appointments without typing on your phone in the car.
  • Predictive signals for property readiness: Flags owners who are most likely to list soon, for example when a tenant's lease on an investment property is about to end. 

Just as important as knowing what AI to use is knowing what to avoid. Some features sound impressive in a demo but rarely get used by small teams. Others bring you automation in real estate but only serve to alienate prospects due to generic messaging. 

The best AI CRM feature is the one your team uses every day to save time, optimise outcomes and reduce their mental load. 

If an AI feature needs a dedicated person to manage it or constantly walk others through how it works, it's unlikely to survive a busy spring selling season. For a deeper look at evaluating platforms, see what AI features you should look for in a real estate CRM.

How to use AI in real estate: a practical starting guide for agents

The simplest way to use AI in real estate is to start with one workflow at a time. 

A three-week starter plan builds the habit without overwhelming you, and each step uses tools most modern real estate CRMs already include.

Starter plan for using AI in your real estate agency

  1. Week 1: Set up follow-up for your top 50 contacts. Use AI-drafted emails and SMS for the 50 people most likely to buy, sell or refer in the next 12 months. Review the drafts and send.
  2. Week 2: Let AI draft your listing descriptions and vendor updates. Use AI to produce first drafts of listing copy and weekly vendor reports, then edit for local detail and tone. If you're not sure where to start, these AI Assist prompts every agent should try are a useful shortcut.
  3. Week 3: Run your first AI-prioritised call session. Block out an hour, open your CRM's prospecting tools and work through the AI-ranked call list. Log each outcome as you go and set a reminder for the next touchpoint.

By the end of week three, you'll have real-estate-specific AI workflows running, and a clear sense of which one saves you the most time.

The agents who get the most out of AI don’t have to be tech-savvy. It’s more about building habits, being consistent and being open to exploring new ways of working.

Thirty minutes a day of AI-assisted prospecting, done consistently, will outperform a full AI suite that doesn’t get used or isn’t fit for purpose. 

Choosing real estate AI tools that fit your workflows

The best AI tools for Australian real estate agents in 2026 fit seamlessly into daily workflow and help you and your team to achieve more in less time, and get better results from the effort they put in. 

If you’re not sure how to begin, look at the bottlenecks that cost you the most time, and choose tools that have multiple functionalities and are optimised for your industry.

See how Rex's AI features work inside a CRM built for agencies in Australia and New Zealand. Book a free demo.

Written by
Gemma Todd-McVinish
Gemma Todd-McVinish
Head of Marketing
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