Being visible is not enough. AI needs to understand why your company is relevant.
The way people choose real estate companies is beginning to change.
A buyer no longer has to search Google, open five websites and decide which company looks most suitable.
They can ask ChatGPT:
“Which estate agent should I use to buy a luxury apartment in Dubai?”
Or:
“Who is the best agent to sell a villa in Marbella?”
AI can then identify companies, compare them and explain why each one may be suitable.
That creates a new question for real estate businesses:
What does AI understand about your company, and is it enough for you to be recommended?
There is no shortcut to an AI recommendation
There is no switch that makes ChatGPT recommend your company.
And there is no legitimate way to guarantee that an AI platform will place one business above another.
The opportunity is more straightforward.
Make it easier for AI systems to accurately understand:
who you are, what you do, where you operate, what you specialise in and what evidence supports those strengths.
This is what really matters.
AI can only recommend the business it can see, understand and associate with the customer's question.
Start with what you want to be known for
Trying to become “the best estate agency” is rarely a useful objective.
Customers ask much more specific questions.
Who should sell my property in Emirates Hills?
Which agency is best for British buyers moving to Marbella?
Who specialises in investment property in Dubai?
Which London agency should I use to manage my rental portfolio?
Schutle's research found that different companies lead different types of questions. There is no single universal AI visibility winner. Leadership changes according to the customer's requirement, location and wording of the question.
The first step is therefore to decide which customer questions your business should credibly be an answer to.
Make your expertise visible
Many real estate companies have far more expertise than their digital presence demonstrates.
An agency may have sold hundreds of properties in a particular area.
Its agents may have decades of combined experience.
It may have specialist knowledge of developers, rental markets, investment, property management or international buyers.
But much of that knowledge can remain trapped inside the business.
If the evidence is sitting in a CRM or Real Estate Software, an agent's head, an internal report or an inaccessible PDF, it may contribute very little to how an AI system understands the company.
The solution is not to make louder claims.
It is to make genuine expertise easier to find.
Market analysis, adviser profiles, transaction experience, case studies, area expertise, customer guides and original research can all help create a clearer picture of what the company actually knows and does.
Give AI evidence, not marketing claims
Almost every estate agency describes itself as experienced, trusted and knowledgeable.
Those words alone say very little.
AI recommendations become more interesting when there is evidence behind them.
In Schutle's research across more than 10,000 AI-generated real estate responses, AI systems repeatedly referred to factors including reputation, operating history, independent reviews, track record, specialist expertise and relevance to a particular type of customer when explaining recommendations.
So rather than simply saying:
“We are experts in luxury property.”
A stronger digital footprint demonstrates why that position is credible.
The principle is simple:
Don't just tell AI what your company is good at. Create enough evidence for it to understand the same thing.
Think beyond your website
Your website remains important, but it is only one part of your digital footprint.
AI systems can encounter information about businesses across a much wider online environment.
Reviews, media coverage, professional profiles, awards, market reports, directories and independent references can all contribute to the picture surrounding a company.
This makes consistency important.
If your business claims to be a leading specialist in an area, but there is very little credible information connecting your company with that market elsewhere online, the position is harder to establish.
The objective should be for your real-world expertise and your digital footprint to tell the same story.
Make the business easier for machines to understand
Most real estate websites were built primarily for people.
They were designed to display properties, introduce the company and generate enquiries.
AI creates an additional requirement.
Information also needs to be structured clearly enough for machines to understand how your company, people, locations, services, expertise and evidence connect.
This is where the technical side of AI visibility becomes important.
It is not about replacing your existing website.
It is about creating a clearer digital representation of the business behind it.
Measure the questions that actually matter
You cannot understand your AI visibility by asking ChatGPT one question.
Our research has shown that changing just a few words in a prompt can materially change which companies are recommended.
Different AI platforms can also produce very different results.
A meaningful AI visibility programme therefore monitors a group of commercially important customer questions across multiple AI systems and over time.
This allows a company to understand one of the most useful things of all:
Where are we genuinely strong, and where does AI not yet understand us?
Sometimes the problem is not capability. It is evidence.
This is an important distinction.
An estate agency may genuinely be one of the strongest companies in its market for a particular service.
But if there is insufficient accessible evidence of that capability, AI may never associate the business with it.
That is an evidence gap.
The expertise already exists.
The digital footprint simply does not represent it properly.
For many established real estate companies, improving AI visibility may therefore be less about becoming something new and more about making what they already do well easier to understand.
The Schutle view
Getting recommended by AI should not be about manipulating an algorithm.
It should be about building the clearest possible digital representation of the real business.
Its people.
Its expertise.
Its markets.
Its experience.
Its history.
Its reputation.
And the evidence connecting those things together.
The objective is not to appear in every AI answer.
It is to become a credible and consistent answer to the customer questions that matter most to your business.
As more customers begin asking AI who they should use, that understanding is becoming commercially important.
Because before AI can recommend your business, it first has to understand why it should.