AI Listing Description Generator for Australian Real Estate

How to get started

1. 1

   Enter the property details

   Provide the address, property type, bedroom count, bathrooms, car spaces and the core selling features. The more specific you are about the property's appeal, the more targeted the copy will be.

2. 2

   Select campaign type and buyer profile

   Choose auction, private treaty or expressions of interest, and select the primary buyer profile (family, investor, downsizer, prestige, first-home-buyer). These selections shape the tone and framing of the output.

3. 3

   Generate the copy set

   Coraly produces a full set of assets: long-form portal description, short-form variant, feature bullets, brochure copy, social captions and inspection CTA.

4. 4

   Review for accuracy

   Read through the output and check every factual claim before publishing. Pay particular attention to school zone references, transport times, view descriptions and any compliance-sensitive language.

5. 5

   Export to your listing workflow

   Copy the reviewed content directly into REA Agent Admin, Domain Agent Portal, your CRM, brochure template or social media scheduler.

What Coraly's listing description generator produces

The generator does not produce a single output and stop. It creates a set of assets from the same property information so you can use the right format for each platform and campaign stage.

• Long-form portal description for REA (up to 1,500 characters of keyword-aware copy)
• Short-form Domain-ready variant with a strong headline and concise feature summary
• Brochure description and pull quote for print or digital delivery
• Feature bullet list formatted for portal and brochure use
• Social captions for Facebook and Instagram in launch, open home and reminder formats
• Inspection CTA and enquiry prompt copy

Why AU-specific context matters in listing descriptions

Most AI tools are trained on US real estate content. That creates a specific set of problems for Australian agents. The tool writes 'realtor' instead of 'agent'. It describes 'neighborhoods' instead of 'suburbs'. It uses 'condo' and 'HOA' instead of 'strata' and 'body corporate'. It writes imperial measurements and references US school systems.

Beyond vocabulary, the bigger issue is campaign context. Australian listing campaigns have a specific flow that most generic AI tools do not understand: auction versus private treaty, clearance rate context, days on market expectations by suburb, the role of REA Premier Plus versus standard listings, and the way vendors and buyers talk in different state markets.

How to use the listing description generator

The generator is built into Coraly's listing workflow. Once you have the core property details, the process takes less than five minutes from input to review-ready copy.

• Enter the property address, type (house, apartment, unit, townhouse, land) and number of bedrooms, bathrooms and car spaces
• Add the key features and selling points (renovation, aspect, views, proximity to schools or transport, lifestyle benefits)
• Select the campaign type: auction, private treaty or expressions of interest
• Choose the buyer profile you are targeting: family, investor, downsizer, prestige or first-home-buyer
• Generate the copy set and review — the tool will flag any claims that need fact-checking before the listing goes live
• Export or copy the output directly into REA Agent Admin, Domain Agent Portal, your CRM or brochure template

What the generator does not replace

AI produces a first draft. The agent is still responsible for everything that goes live under their licence. There are specific areas where no AI tool should be trusted without verification, and agents using Coraly are reminded of these at the review stage.

• School zone claims: always verify catchment zones with the relevant state education department — they change, and wrong claims have led to enforcement action
• Transport time claims: walk times, train journey durations and bus frequency should be checked against current timetables
• Views and aspects: AI cannot verify what is visible from the property — these must come from the agent's own knowledge
• Strata and body corporate information: levy amounts, by-law restrictions and pending special levies should come from the disclosure documents
• Price guides and auction reserves: AI should not generate or imply price guidance of any kind
• Development potential and zoning claims: council zoning and overlay information must be confirmed with the relevant authority

Listing description examples: before and after

Example: 3-bedroom house in a Sydney mid-ring suburb, family home, private treaty. Before: 'This beautiful three bedroom home is located in a great suburb close to everything you need. Perfect for families, the home features a spacious living area, updated kitchen and large backyard. Don't miss out on this fantastic opportunity.' After (Coraly): 'Set in a quiet tree-lined street within easy reach of primary schools and weekend markets, this well-presented three-bedroom home offers a practical layout designed for family living. The updated kitchen flows to a covered entertaining area and a fully fenced rear garden — ideal for children and weekend hosting. Inspection will impress.'

How listing descriptions affect your REA and Domain performance

REA and Domain both use listing quality signals to influence how properties are ranked within search results. While the exact algorithm is not public, property managers and agents consistently report that listings with higher-quality copy, complete feature sets and strong photography receive more views and generate more enquiry.

Beyond ranking, the description is the first piece of long-form content a buyer reads. If it is generic, they move on. If it speaks to their situation — the family looking for school proximity, the investor looking for yield potential, the downsizer looking for low-maintenance living — they are more likely to enquire or book an inspection.

That buyer-specific relevance is why the tone selector in Coraly matters. A prestige description and a first-home-buyer description for the same property should read differently, because they are speaking to different priorities.

Integrating the generator into your agency workflow

The highest-value use of a listing description generator is not one-off copy. It is integrating it into the standard listing preparation process so every agent in the agency produces at a consistent standard without manual effort differences.

Agencies using Coraly typically integrate the generator at the listing kit preparation stage, after photography has been booked and the property details are confirmed. The admin or listing coordinator enters the details, generates the copy set, and sends it to the agent for a compliance review before upload.

This workflow reduces per-listing production time significantly and makes copy quality consistent across the agency — not dependent on which agent or coordinator is handling each listing on any given week.

Coraly's listing description generator: built for Australian agents

Coraly is designed around the production challenges that Australian agents and agencies face every week. The listing description generator is one part of a broader workflow that turns property details into a full marketing pack: portal copy, brochure text, social content and vendor presentation material from the same source.

For agents who want to launch campaigns faster, maintain copy quality across their team, and spend less time on first drafts and more time on client relationships, the generator removes one of the most consistent time costs in the listing preparation process.

Frequently asked questions