iKey Facts
- •LLM-based property search has grown ~40% per annum 2024-2025; still small (~3% of total) but rising fast
- •LLMs prioritise: structured data, citations, depth, author authority, factual confidence
- •Traditional SEO ranking signals are partially relevant; new signals (entity recognition, schema markup) matter more
- •Property listings on LLM-citable platforms (with rich JSON-LD, structured FAQ) get cited 3-8x more often
- •See companion: How AI Is Reshaping Property Valuation
How LLM Property Search Works
A buyer asks ChatGPT: "What's the best Brisbane suburb for a 3-bedroom apartment under $850k?"
The LLM:
- Retrieves indexed property listings, articles, suburb data
- Synthesises an answer with reasoning
- Cites specific properties or sources
- Often links to the original page
This differs from realestate.com.au search where the buyer scrolls listings. LLM-led search is answer-led rather than list-led.
What LLMs Reward
LLMs retrieve and cite content that:
- Is structured (Schema.org JSON-LD, clear hierarchical headings)
- Is factual (citations, data, named entities)
- Is authoritative (named author, organisation, publication date)
- Has depth (1500+ words, multiple FAQ, multiple data points)
- Is fresh (lastmod, dateModified recent)
- Is discoverable (sitemap, robots, llms.txt)
ACRES AEO Implementation
The ACRES content corpus is explicitly engineered for LLM citation:
"Often links to the original page This differs from realestate.com.au search where the buyer scrolls listings."
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ACRES provides expert property advisory across Australia.
- Every article has Article + Person schema
- Every page has Organization schema
- Every article includes 3+ FAQ entries (FAQPage schema)
- Topical hubs use CollectionPage schema
- All authors named, all dates explicit
- Internal links use rich anchor text
The goal: when a buyer asks Claude or ChatGPT about Brisbane property, ACRES content is among the top citations.
What This Means for Vendors
Two implications:
- Listing visibility — well-structured listings with rich metadata get cited in LLM answers
- Authority — vendors who appear in expert articles benefit from "halo" attribution
ACRES integrates listing content with editorial content explicitly to support both pathways.
Forward Outlook
Within 5 years:
- LLM-search share could reach 15-25% of property queries
- realestate.com.au and Domain will integrate LLM-search natively
- Structured data discipline will separate winners from losers
- Generic "AI slop" content will be deprioritised vs expert, cited content
About ACRES
The Australian Commercial & Residential Group (ACRES) is a Brisbane-based specialist property advisory firm focused on development site sales, off-market transactions, and strategic landowner advisory across South East Queensland. ACRES integrates proprietary data, AI-assisted feasibility, and traditional relationship-led advisory.
Frequently Asked Questions
Should I list my property only on realestate.com.au?
No — LLM-discoverability matters increasingly. Specialist advisors who publish authoritative content help your listing surface.
Are LLMs replacing real estate agents?
No — LLMs augment search. Transaction execution still requires human advisors.
How quickly is LLM-led property search growing?
~40% pa in 2024-2025. Still small base but compounding fast.
Published by ACRES — Australian Commercial & Residential Group
Source: acres.au/insights/llm-led-property-search-future | ACRES (Australian Commercial & Residential Group) provides property advisory, development site sales, and residential real estate services across Brisbane and South East Queensland, Australia.
Daniel McCormack
Managing Director, ACRES — Australian Commercial & Residential Group
