Top 10 AI Prompts and Use Cases and in the Real Estate Industry in Australia

Australia's property market is already reshaping around practical AI: agents use automated valuation models, virtual assistants and image/virtual-staging tools to speed valuations, qualify leads and personalise marketing, while industry guidance highlights careful rollout for compliance and accuracy.

The REAA guide outlines hands-on AI use cases for local agents, and major brokerages like Aussie are building “agentic” systems that create an “always-on” BDM to surface lender rules, draft copy and cut admin time - freeing humans for high-value client work.

For agents wanting practical skills, the AI Essentials for Work bootcamp teaches prompt-writing and real‑world AI workflows designed for business roles, so teams can adopt tools confidently and ethically.

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“It's going to augment the broker”

To build a practical methodology for Australian agents the research prioritised applied vendors and how their tools actually land in workflows: Sunrise Technologies' hands‑on suite - covering AI‑driven property valuation, predictive analytics, virtual tours and risk detection - was reviewed for local fit (they list Sydney and Melbourne hubs) and for measurable outcomes like their Evarin case study showing unified gains from smarter listings and lead automation; see Sunrise Technologies' AI solutions for real estate for service and integration details.

Complementing that product‑led view, SolGuruz's recent pieces on Generative AI spell out tactical applications in commercial property - automating descriptions, hyper‑targeted marketing, virtual staging and predictive maintenance - which helped shape prompts that map directly to tasks Australian agents care about; read the SolGuruz guide to Generative AI in commercial real estate.

The practical lens favoured solutions that integrate non‑intrusively with legacy systems, reduce site visits (for example, generating a 3D walkthrough from simple photos) and produce KPI‑driven efficiency gains agents can measure.

Source	Practical Focus	Link
Sunrise Technologies	AVMs, predictive analytics, virtual tours, integration with legacy systems	Sunrise Technologies - AI solutions for real estate
SolGuruz	Generative AI use cases: marketing, virtual staging, tenant engagement, predictive maintenance	SolGuruz - Generative AI in commercial real estate

HouseCanary shows how automated valuation models (AVMs) turn mountains of property data into fast, actionable pricing and forecasts - delivering near‑instant CMAs, confidence scores and scenario testing that can reshape how Australian agents price listings and advise investors.

Their AVM blends public records, MLS and proprietary inputs with modern machine learning and image recognition to capture interior/exterior condition (it even models six condition levels and simulates renovation scenarios), adds risk layers like flood or crime data, and produces portfolio‑scale forecasts in seconds; read the deep dive in HouseCanary automated valuation model explainer.

Paired with local tools that cut site visits - such as aerial imagery for roof and solar detection - this workflow can reduce valuation bottlenecks and sharpen pre‑list pricing, letting agents focus on negotiation and client strategy rather than data wrangling (aerial imagery tools for roof and solar detection in Australian real estate).

Feature	What it means
Instant AVM valuations	Fast CMAs and confidence scores for pricing and underwriting
Six condition levels	Simulate renovation scenarios to refine value estimates
Risk & forecast data	Flood, crime and market forecasts to inform buyer/seller risk

If you're looking for the best AVM tool on the market, HouseCanary's model stands out for its industry-leading performance and depth. HouseCanary's AVM delivers accuracy and nationwide coverage, leveraging modern machine learning and image recognition to evaluate a property's internal and external condition. It incorporates nuanced data points, such as property views, to refine valuations further. The model can assess homes across six condition levels, allowing users to simulate different renovation scenarios and make more informed decisions. In addition, HouseCanary offers best-in-class Land and Rental AVMs and AI tools, extending valuation capabilities across asset types.

Skyline-style investment platforms in Australia turn the predictive-analytics playbook into practical portfolio optimisation: by blending sales history, local economic indicators, satellite and zoning data and even social‑activity signals, these systems forecast neighbourhood momentum, flag vacancy risk and recommend where to rebalance capital - the kind of insight that helps spot a “hidden‑gem” suburb before the rest of the market notices.

Machine‑learning models can cut forecasting error dramatically and power scenario testing for IRR, rent growth and climate exposure, while integrating outputs directly into CRMs and dashboards so Australian advisers can act fast and with audit trails.

For agents and institutional buyers this looks like smarter deal screening, dynamic pricing and earlier detection of underperforming assets; practical guides on deployment stress starting with one high‑impact use case, clean datasets and tight integration to capture value quickly (see RTS Labs on operationalising predictive models and Visual Craft on AI forecasting), and multifamily operators can use the same signals to optimise rents and reduce turnover (see Rentana for sector specifics).

“Our billing module needed to be rewritten and that is a key and pivotal project for any organization but in particular for a private equity group who is actually looking to make certain that we had the stability and structure that we needed and the infrastructure from an IT standpoint to handle our operations on a day-to-day basis as well as position ourselves to go back to market at the appropriate time. It was key and critical that you find someone who is a trusted partner who you can tell will act with integrity above all else and I really found that in RTS.” – Amy Daniels, World Wide Express

Tango Analytics turns the guesswork of location selection into a repeatable advantage for Australian agents and retail planners by layering GIS mapping, mobile movement and customer data into explainable site models that find where real demand actually lives - down to the right corner of a busy intersection (or the wrong side of a freeway overpass).

Platforms like Tango Transactions let teams combine internal loyalty data with anonymised mobile and demographic feeds to prioritise trade areas, compare similar sites, forecast sales and estimate cannibalisation before signing a long lease, so decisions are driven by robust, localised models rather than gut feel; explore their approach in the Tango site selection guide and the location analytics overview.

For offices, shopping strips or suburban high‑streets in Australia this means faster market planning, clearer trade‑area scoring and fewer costly surprises when a site underperforms, giving agents the confidence to move from hunches to measured, testable strategies.

Capability	Why it matters
Tango Transactions site selection software	Builds custom site models and compares opportunities
GIS mapping and location analytics	Visualises trade areas, traffic patterns and points of interest
Ask TangoAI and predictive analytics	Conversational insights and sales forecasting powered by ML
Lease abstraction & transaction tools	Speeds due diligence and reduces manual risk

Let AI handle the complexity while you take the lead.

Restb.ai packages computer vision and generative text into a tidy workflow that turns listing photos into publish-ready assets: auto-tag rooms and finishes, score property condition, generate SEO‑friendly image captions for accessibility, flag photo compliance or duplicates, and produce FHA‑compliant property descriptions in seconds - capabilities explained on Restb.ai's Restb.ai Property Descriptions solution page and visible in their interactive Restb.ai interactive demo for property AI.

For Australian agents this maps directly to faster time-to-market and cleaner MLS feeds: imagine uploading a phone's worth of snaps and getting a polished, editable remark plus mapped listing fields back in moments, or surfacing visually similar homes to buyers who “know it when they see it.” Recent MLS integrations also show the industry momentum for auto-populate and remark generation, so brokerages and portals can focus staff on negotiation and client care instead of manual data entry.

Feature	Benefit
Image Tagging & Property Condition	More accurate comps and appraisal inputs
Automatic Descriptions	Faster, editable, FHA‑compliant listing copy
Visual Similarities	Visual search & higher-conversion recommendations
Photo Compliance & Duplicate Detection	Cleaner MLS data and reduced legal risk

“Restb.ai allows us to automate the entire process of creating listing descriptions. They help us reduce the time to market of our properties and the direct costs of generating the descriptions while improving their quality and consistency.”

CINC's all‑in‑one lead platform packages proven demand generation with AI-driven nurturing so teams can scale without dropping the ball: its managed Google/Facebook campaigns and IDX sites feed an intelligent CRM, while the optional CINC AI acts like a 24/7 virtual ISA - engaging new enquiries, using expert scripts, and handing off the hottest prospects with full message history when a human should step in; see CINC's AI features for details.

speed to lead

For Australian agents balancing inspections, listing prep and client meetings, those automated AutoTracks and behavioural triggers sharpen speed to lead, free time for negotiation, and surface which prospects are truly ready to talk.

Combine that with the platform's lead insights and routing rules and it becomes possible to prioritise outreach by predicted readiness rather than inbox order, turning a flood of online enquiries into a manageable pipeline without extra headcount.

Think of it as an always‑on assistant that nudges the right lead to the right agent at the right moment - so warm prospects don't cool while the agent is on the road.

Feature	Benefit
CINC AI 24/7 virtual ISA features	Continuous engagement and seamless hand‑off to agents
Managed lead generation and IDX website solutions	Hyper‑local traffic and higher‑quality lead volume
AutoTracks & intelligent workflows	Consistent follow‑up, drip nurturing and fewer missed touches
Lead insights & scripts	Prioritise outreach by readiness and personalise at scale

ChatGPT-style conversational AI is already a practical Swiss Army knife for Australian agents: from iterative prompt workflows that “act as a real estate agent” and refine saved searches (a tip Laurel Papworth highlights in her ChatGPT tutorial) to generating polished listing copy, market summaries and client‑facing newsletters in moments - imagine turning a single inspector note into a ready-to-send email while at a viewing.

When paired with a VA or virtual assistant, ChatGPT speeds baseline research, drafts and appointment scheduling so teams can scale without losing the human touch (see guidance on VA integration and governance).

In local markets like Sydney and Perth, natural-language search and intent detection let buyers ask subjective queries (“safe neighbourhood with good schools”) and get prioritised, explainable matches, while CRM integration keeps conversations in the client record for compliance and follow-up.

The “so what?” is simple: agents keep their edge by using ChatGPT to automate routine writing and 24/7 enquiry handling, but outputs must be verified and embedded into secure CRM workflows to protect accuracy and trust - exactly the balance Australian firms are testing now.

DO NOT USE ChatGPT for SEO – or at least treat it like a new intern.

Proof in Australian real estate means baking AUSTRAC‑grade KYC and AML controls into every digital touchpoint: modern identity‑verification stacks and AI can automate the

collect and verify

steps that Part B of an AML/CTF program requires, verify individuals (full name plus date of birth or address) against the Document Verification Service and electoral rolls, identify beneficial owners and PEPs, and run ongoing transaction and behaviour monitoring so unusual patterns trigger enhanced due diligence or a suspicious matter report; see AUSTRAC customer identification guidance for AML/CTF programs for the rules on timing and documentation and Trulioo's overview of Australian document verification tools and the DVS for how electronic checks and the DVS are used in practice.

Those automations aren't just efficiency gains - they close real risk: AUSTRAC's onboarding example highlighting director onboarding risk shows how missing a single director at account opening can leave a gap that later links accounts and triggers multiple SMRs, so automated identity checks and auditable decision trails matter.

Built well, AI reduces false positives, speeds safe onboarding and produces the evidence auditors and regulators want; built poorly, it's a compliance headache with civil and criminal exposure, so tie models to documented ACIP workflows and monitor for drift against regulated thresholds (see ComplyAdvantage practical KYC compliance considerations).

HappyCo brings property and facilities management automation into practical reach for Australian operators, having started in Adelaide in 2011 and now supporting millions of units worldwide - its recent platform expansion embeds Joy AI to turn routine service logs into foresight (the company says Joy was trained on millions of service records and can even “flag that you're about to have three HVAC systems fail next month”), cut make‑ready times and surface cost drivers across a portfolio.

Built for field teams and execs alike, HappyCo's mobile inspections, real‑time Property Profiles and capital‑planning links make it easy to benchmark sites, reduce unnecessary dispatches (their Happy Force remote service can resolve a share of issues without on‑site techs) and improve resident outcomes; see customer stories and the Joy AI launch for demos and case details.

For Australian managers wrestling with labour shortages and legacy PMS stacks, the open API marketplace and plug‑in approach helps centralise maintenance intelligence without ripping out core systems.

Feature	Benefit
HappyCo Joy AI built-in predictive maintenance announcement	Predictive insights from service records to prioritise repairs and reduce reactive work
Happy Force (remote maintenance)	AI triage plus off‑site technicians; deflects after‑hours calls and lowers dispatches
Real‑time Property Profiles & dashboards	Portfolio benchmarking, work‑order velocity and inspection quality at a glance
Capital planning integration & open API	Aligns CapEx decisions with day‑to‑day maintenance and eases integrations

“AI's real value isn't in automating what we already do – it's in seeing what we've been missing.” - Jindou Lee, CEO, HappyCo

Areal brings mortgage, title and transaction automation into the agent and lender toolkit by turning document-heavy workflows into structured, auditable data so Australian lenders and brokers can move decisions off spreadsheets and into tight, repeatable pipelines; its automated underwriting playbook uses OCR, document classification and rule‑driven AI to speed verifications, reduce manual touches and produce consistent eligibility decisions, while mortgage automation features handle document generation, fee balancing and closing reviews so teams

save hours per loan

and focus on exceptions rather than busywork - see Areal's take on Areal Automated Underwriting guide and the broader Areal mortgage automation overview for how intake, OCR, LOS integration and audit trails compose a modern closing workflow; for Australian firms facing compliance and speed pressures, that means fewer backlog nightmares and more time advising buyers, sellers and mortgage-ready clients.

Feature	Benefit
Automated Underwriting (AUS)	Faster, consistent eligibility decisions and auditable rationale
Document Classification & OCR	Turn scanned and unstructured files into structured fields for LOS
Workflow & Closing Automation	Automate fee balancing, closing reviews and post-close tasks to cut manual hours
Integration & Audit Trails	Seamless LOS/CRM links and compliance-ready records for regulators and investors

On-site construction and renovations get a clear productivity edge with Doxel's AI-driven progress tracking: crews walk the job as usual while a 360° hard‑hat camera captures reality and Doxel's computer vision converts video into trade‑level “work‑in‑place” metrics that compare plan vs actual, flag out‑of‑sequence work and forecast delays so teams can recover before costs balloon - an especially useful pattern for Australian projects that need tighter forecasts and fewer site visits.

The platform's production‑rate benchmarking turns historic footage into realistic schedules and crew plans, turning a weekly walk‑round into a decision engine that owners, GCs and supers can trust; see Doxel's automated progress tracking and the deep dive on production rate data for examples and how it links to BIM and scheduling.

The practical payoff is measurable: faster delivery, far less manual tracking and clearer, auditable progress reports that make handovers and claims simpler.

Capability	Benefit
360° reality capture (hard‑hat camera)	Objective work‑in‑place measurement and visual progress
Production rate benchmarking	Realistic schedules, manpower planning and risk reduction
Measured outcomes	11% faster delivery · 95% less time tracking · 16% reduction in monthly cash outflows

“Doxel's data is invaluable for many uses. We use Doxel for projections, manpower scheduling, for weekly production tracking, for visualization, and more.” - Brandon Bergener, Sr. Superintendent, Layton Construction

For Australian agents the path from AI curiosity to reliable practice is pragmatic: start by auditing repeatable workflows and pick one high‑ROI quick win (listing descriptions, lead follow‑up or virtual staging) you can prove inside a week, then measure time saved, speed‑to‑lead and conversion uplift as your north star; the REAA guide on how agents can optimise AI outlines these exact use cases and compliance considerations to keep efforts market‑fit and defensible (REAA guide: How Real Estate Agents Can Optimise AI).

When evaluating vendors, favour practical suites that integrate with legacy systems and show clear KPI wins - Sunrise Technologies' real‑world playbook is a good example of product‑led tools that reduce site visits and tighten listings-to-contract cycles (Sunrise Technologies AI solutions for real estate).

Finally, train the team to use prompts, guardrails and human‑in‑the‑loop checks so outputs are reliable (think: turning a single inspection note into a ready‑to‑send email while at a viewing), and consider formal upskilling like Nucamp's AI Essentials for Work to build promptcraft, governance and practical workflows that scale (Nucamp AI Essentials for Work bootcamp).

This sequence - audit, pilot, measure, train - keeps agents compliant, client‑centred and ready to capture the operational gains AI promises.

Bootcamp	Length	Cost (early bird)	Register
AI Essentials for Work	15 Weeks	$3,582	Nucamp AI Essentials for Work registration