How Real Estate Agents Can Get Recommended by ChatGPT and AI Search in Australia

When a potential buyer asks ChatGPT "who's the best buyer's agent in Sydney?" — is your agency in the answer?

Because right now, AI is already recommending your competitors. Not as a list of links to browse. As a direct, named recommendation with an explanation of why that agent is the best choice. The buyer reads the answer, contacts the recommended agent, and you never even know the lead existed.

Here's the disconnect: 49.1% of Australian real estate agencies already use AI for communications (Reapit) — for writing listings, generating social posts, automating email. But almost none of them are thinking about the other side of the equation: being found BY AI when a buyer or seller asks for a recommendation.

That's the gap this guide addresses. Not how to use AI in your business — but how to make AI recommend your business to every potential client searching for an agent in your suburbs.

How AI Search Is Changing Property Discovery

The way Australians find real estate agents has fundamentally shifted. "Best buyer's agent in Mosman," "top selling agents in Toorak," "who should I use for an investment property in Brisbane" — these queries are no longer just Google searches returning ten blue links. They're now answered directly by ChatGPT and Google AI Overviews with specific agent recommendations and explanations of why each one was chosen.

This matters because AI doesn't give the user a page to browse. It recommends three to five agents and explains the reasoning. The buyer reads the answer, picks one, and contacts them. There's no page two. There's no scrolling past your listing. You're either in the recommendation or you're invisible.

The sources AI uses to form these recommendations are telling. Research shows that 44% of AI citations come from first-party websites — your own agency site — and 42% come from business listings (Yext) like Google Business Profile, Rate My Agent, and OpenAgent. Community platforms like Reddit and YouTube make up a smaller share, but AI models still pull from them — particularly for subjective questions like "who's the best agent in [suburb]?" That means the two things you have the most control over are exactly what AI weighs most heavily, but your presence in community discussions and video content can tip the scales too.

In the US, Zillow has already integrated with ChatGPT, allowing users to search properties directly through the chatbot. That signals where the Australian market is heading. When RealEstate.com.au or Domain eventually builds similar integrations, the agents with strong AI visibility will dominate those recommendations. The time to build that visibility is now — before the competition catches on.

For a broader understanding of how this works across all industries, see our complete guide: What Is Answer Engine Optimisation (AEO)?

What AI Uses to Recommend Real Estate Agents

AI doesn't pick agents at random. It synthesises information from dozens of sources and makes a judgement call based on specific signals. Understanding what those signals are gives you a direct blueprint for getting recommended.

Google Business Profile completeness and reviews. For local queries — and almost every real estate query is local — your Google Business Profile is the single most important listing. AI weighs the completeness of your profile, your average review rating, the number of reviews, and critically, how recent those reviews are. An agent with 200 reviews from three years ago carries less weight than one with 80 reviews from the last six months.

Rate My Agent, OpenAgent, and RealEstate.com.au agent profiles. These are the industry-specific directories that AI models reference for Australian real estate. Your profile completeness, review scores, and transaction history on these platforms directly influence whether AI recommends you. If your Rate My Agent profile hasn't been updated in a year, you're handing visibility to agents who keep theirs current.

Your website: clear specialisation and suburb focus. AI needs to understand what you do and where you do it. A generic agency website that says "we cover all of Sydney" gives AI nothing specific to cite. A website with dedicated suburb pages, clear specialisation (buyer's agent, prestige property, investment, commercial), FAQ content, and proper schema markup gives AI exactly what it needs to recommend you for specific queries.

Third-party mentions and community platforms. When Domain, the AFR, or a local newspaper quotes you as a property expert, AI registers that as an authority signal. When you appear on a "best buyer's agents in Melbourne" listicle, AI uses that as a citation source. Reddit threads and YouTube videos matter here too — when someone asks r/AusProperty for agent recommendations and your name comes up, or when you publish suburb walkthroughs and market updates on YouTube, AI models pick up on those mentions. Every credible third-party mention is a vote of confidence in AI's assessment of your expertise.

Content authority. Suburb guides, quarterly market reports, buyer and seller guides, and auction commentary all build the kind of topical authority that AI references when forming recommendations. The agents who publish consistently are the ones AI learns to trust.

Consistency across platforms. If your name is "Sarah Chen — Buyer's Agent" on your website, "Sarah Chen Real Estate" on Google Business Profile, and "Chen Property Group" on Rate My Agent, AI sees three different entities. Consistency — same name, same specialisation, same service areas — across every platform is what builds a unified entity that AI can confidently recommend.

7 Steps to Get Your Agency Recommended by AI

Step 1: Check Your AI Visibility Right Now

Before you change anything, you need to know where you stand. This takes five minutes.

Open ChatGPT and ask: "Who is the best buyer's agent in [your suburb]?" Then ask: "Who are the top selling agents in [your suburb]?" Do the same in Perplexity. Check Google for AI Overviews on the same queries.

Screenshot every result. Note which competitors appear. Note whether you're mentioned at all, and if so, what sources the AI seems to be drawing from. This is your baseline — everything that follows is about changing those answers.

If you're not in any of them, don't panic. That's the starting point for most agents. The steps below are how you fix it.

Step 2: Optimise Your Google Business Profile

Your Google Business Profile is the foundation of local AI visibility. For real estate agents, this is non-negotiable.

Complete every field. Business category should be "Real estate agent" or "Real estate buyer's agent" — whichever matches your primary service. Fill in all services offered, areas served (list every suburb individually, not just the city), and operating hours. Your business description should include suburb-specific keywords naturally: "Buyer's agent specialising in the Eastern Suburbs of Sydney, including Mosman, Neutral Bay, and Cremorne."

Get recent reviews. AI weighs recency heavily. A burst of reviews from 2023 matters far less than a steady stream of reviews from the last three months. After every successful transaction, ask for a Google review. Make it easy — send a direct link.

Post updates regularly. Google Business Profile posts signal to AI that your business is active. Share market updates, new listings, recent sales results, and suburb insights weekly. This keeps your profile fresh in AI's assessment.

Step 3: Fix Your Website Schema Markup

Schema markup is structured data in your website's code that tells AI engines exactly what your business is and how to categorise it. For real estate agents, there are specific schemas that matter.

RealEstateAgent schema. Yes, this exists as a specific schema type. It tells AI you're not just a generic business — you're a recognised real estate professional. Include your name, areas served, specialisation, and credentials.

LocalBusiness schema with areaServed. List every suburb you serve as a separate areaServed entry. This is how AI connects your agency to specific suburb queries. When someone asks "best agent in Paddington," the AI checks which agents have Paddington in their structured data.

FAQPage schema. Every FAQ page on your site should have FAQPage schema markup, so AI can pull your answers directly. Questions like "How much does a buyer's agent cost in Sydney?" and "What suburbs are best for first-home buyers in Melbourne?" become citable answers.

Person schema. Each agent in your team should have Person schema with their credentials, experience, specialisation, and areas of expertise. This builds individual authority that AI can reference.

If you're not sure how to implement schema, your web developer can add JSON-LD markup to your site. For a deeper explanation of how schema works for AI visibility, see: How to Get Your Australian Business Recommended by ChatGPT

Step 4: Create Suburb-Specific Content

This is where most real estate agents have a massive untapped opportunity. AI answers hyper-local questions with hyper-local content — and most agency websites have none.

Suburb guides. Create dedicated pages for every suburb you serve. Not a 200-word blurb — a genuine guide covering median prices, recent sales trends, lifestyle appeal, schools, transport, and your professional insight on the area. When someone asks AI "what's it like to buy in Brunswick?" your suburb guide becomes the answer.

"Best suburbs" content. Publish guides like "Best suburbs to buy in Sydney's Inner West 2026" and "Top investment suburbs in Melbourne under $800K." These are exactly the queries that trigger AI recommendations, and the agents who publish this content are the ones who get cited.

FAQ pages. Build FAQ pages around the questions buyers and sellers actually ask: "How much does a buyer's agent cost in [suburb]?" "What's the median house price in [suburb]?" "Is [suburb] a good investment in 2026?" Structure each answer clearly — direct response first, supporting detail below.

Market reports. Quarterly or monthly market commentary shows AI that you're an active, informed authority. Include specific data, named suburbs, and your expert perspective. This signals Experience, Expertise, Authoritativeness, and Trustworthiness — the E-E-A-T signals that AI weighs heavily.

The key is specificity. Generic content doesn't get cited. Content that directly answers the specific questions buyers ask about specific suburbs is what AI recommends.

Step 5: Claim All Relevant Directories

Directory listings are one of the largest sources of data AI uses for agent recommendations. Being absent from key directories is like not being in the phone book — except now the phone book is what AI reads before recommending agents.

Real estate directories:

• Rate My Agent — the dominant agent review platform in Australia
• OpenAgent — widely referenced by AI for agent comparisons
• RealEstate.com.au agent profile — ensure it's complete and current
• Domain agent profile

Business directories:

• Google Business Profile (covered in Step 2)
• Local Business Guide
• TrueLocal, Hotfrog, StartLocal

Industry associations:

• REBAA (Real Estate Buyers Agents Association) — critical for buyer's agents
• REI (Real Estate Institute) in your state
• Your state's licensing body directory

The same consistency rule applies: your name, specialisation, service areas, and contact details must be identical across every listing. Inconsistency fragments your entity and weakens AI's confidence in recommending you.

Step 6: Build Third-Party Authority

Your own website and directory listings are necessary but not sufficient. AI needs to see credible third parties mentioning and recommending you before it will do the same.

Get quoted in property media. Pitch market commentary to Domain, the Australian Financial Review, and your local newspapers. Journalists need expert sources for property stories — position yourself as the go-to voice for your suburbs. Use platforms like SourceBottle to respond to media queries about property topics.

Appear on property podcasts. The Australian property podcast landscape is thriving. Shows like The Property Couch, My Millennial Money, and local market podcasts are always looking for guest experts. Every appearance creates a citeable mention.

Write market commentary on LinkedIn. Regular LinkedIn posts about market conditions, suburb trends, and buyer insights build authority that AI indexes. LinkedIn content is a significant source for AI recommendations — particularly for professional services.

Contribute to "best agent" listicles. When industry publications or local media create "top agents" lists, make sure you're on them. These listicles are among the most-cited sources for AI agent recommendations.

Step 7: Track Your Visibility Monthly

AEO isn't set-and-forget. AI recommendations change as new content is published, models are updated, and competitors improve their own visibility.

Monthly manual checks. Pick your top five suburbs and run the same queries across ChatGPT, Perplexity, and Google every month. "Best buyer's agent in [suburb]." "Top selling agent in [suburb]." Screenshot the results and compare them to your baseline from Step 1.

Monitor reviews and directories. Track new reviews across Google, Rate My Agent, and OpenAgent. Check that your directory listings haven't been altered or become outdated. Respond to every review — both positive and negative.

Track competitors. Note which competitors appear in AI answers and try to understand why. Are they publishing suburb content? Do they have more recent reviews? Are they being quoted in media? Competitor analysis tells you where to focus next.

Frequently Asked Questions

Do buyer's agents need AEO differently from selling agents?

The fundamentals are the same — schema markup, directory presence, content authority, and third-party mentions. But the execution differs in important ways. Buyer's agents benefit heavily from REBAA membership (it's a strong authority signal), educational content about the buying process, and suburb-specific guides aimed at purchasers. Selling agents should focus more on recent sales results, vendor testimonials, and market performance data. The AI queries differ too: buyers ask "who should I use to buy in [suburb]" while sellers ask "who gets the best price in [suburb]." Your content strategy should target the queries relevant to your specialisation. For a broader framework that applies across all service types, see: Best AEO Agencies in Australia for 2026.

How important are Google reviews for AI visibility?

It depends on the platform. For Google AI Overviews, your Google reviews are a direct first-party signal — Google has full access to your review count, rating, recency, and even sentiment within individual reviews, making them one of the most powerful levers for local real estate visibility. For ChatGPT and Perplexity, the picture is different: these platforms don't have direct access to Google's review database and can only pick up on your reputation indirectly through web-crawled content and third-party review platforms like Rate My Agent, OpenAgent, and RealEstate.com.au. The practical takeaway is to build your Google reviews for AI Overviews dominance while spreading reviews across open directories so every AI platform can find evidence of your reputation — and across all of them, quality and recency matter more than volume.

Can a single-agent practice compete with big agencies in AI search?

Yes — and in some ways, single-agent practices have an advantage. AI doesn't rank by team size or marketing budget. It recommends based on authority, citations, and structured data relevance to the query. A solo buyer's agent who publishes detailed suburb guides, has strong reviews on Rate My Agent, maintains complete schema markup, and gets quoted in local media can absolutely outrank a large franchise that has a generic website and hasn't updated their directory listings in two years. The key is specificity: a solo agent specialising in three suburbs will often beat a large agency that claims to cover fifty. AI rewards depth over breadth.

Which AI platform is most important for real estate?

For Australian real estate agents, Google AI Overviews should be your first priority. It's embedded directly in the search engine Australians already use when looking for agents and properties — and 47% of Google searches globally now include AI Overviews (Ahrefs), with Australian adoption tracking above that. ChatGPT is your second priority, given its 800 million weekly users (TechCrunch) and the growing trend of buyers asking it for agent recommendations directly. Perplexity is third — its source-citing format means you get direct referral traffic when cited, not just a brand mention. The good news: most AEO actions — schema markup, directory optimisation, content creation, and review building — benefit all platforms simultaneously. Optimising for one improves your visibility across all of them.