Reputation and service
Betterhomes led the combined reputation and service analysis. But the answer changed with the question: Allsopp & Allsopp led the exact highest-reputation prompt, while haus & haus led the dedicated customer-service prompt.
AI visibility research
What 5,070 AI responses reveal about which Dubai real estate companies AI recommends, for which customer needs, and why.

5,070
AI responses reviewed
40
Prompts analysed
4
AI platforms tested
Which real estate brokerage should a buyer use in Dubai? Who should an overseas investor choose to sell a property? Which company does AI recommend for luxury homes in Dubai? Who is recommended for customer service and reputation?
These questions produce different answers. Dubai’s AI recommendation market does not have one universal leader.
Schutle reviewed 5,070 AI responses across 40 controlled prompts covering general brokerage, buyer support, sellers, reputation and service, luxury property, investment, rentals and market coverage. Only genuine recommendations and shortlist inclusions contributed to the rankings.
The report found that Betterhomes led general brokerage, reputation and service overall, and rentals. Allsopp & Allsopp led buyer-support and seller searches. Christie’s International Real Estate led the expanded luxury analysis, while fäm Properties led the broker-only investment and market-coverage categories.
For Dubai real estate businesses, the opportunity is to understand which customer needs AI currently associates with their company, what their digital footprint says to AI models when they research the market, where competitors appear instead and why, and which capabilities need clearer public evidence.
Betterhomes led the combined reputation and service analysis. But the answer changed with the question: Allsopp & Allsopp led the exact highest-reputation prompt, while haus & haus led the dedicated customer-service prompt.
Christie’s International Real Estate led the eight-prompt luxury analysis, followed by Dubai Sotheby’s International Realty and Engel & Völkers Dubai. The results measure AI recommendations, rather than independently verified luxury sales volumes.
fäm Properties led the broker-only investment analysis, while Betterhomes led the investment-resale prompt. Broader questions about investment companies also brought developers into the answers, with Emaar Properties leading when those businesses were included.
Different companies led general brokerage, buyer support, sellers, rentals, luxury and investment. A strong result in one category did not establish leadership across the whole market.
Betterhomes led the general-brokerage analysis, followed by Allsopp & Allsopp and fäm Properties. This provides a view of broad brokerage visibility, but more specific customer questions produced different rankings.
Allsopp & Allsopp led both buyer-support and seller-focused searches. The seller results were closely contested, with Betterhomes and fäm Properties following.
Betterhomes led the combined reputation and service category, but Allsopp & Allsopp led the exact question about the brokerage with the highest reputation. haus & haus led the dedicated customer-service prompt.
Christie’s International Real Estate led the expanded luxury analysis. Dubai Sotheby’s International Realty and Engel & Völkers Dubai followed closely, showing how the competitive picture changes for specialist customer needs.
Questions about investment agents and investment companies produced recommendations for brokers, developers and investment platforms. Separating these business types is essential when interpreting the results.
Betterhomes led rentals and lettings, while fäm Properties led scale and market coverage. Visibility for one service should not be assumed to carry over into another.
The report identified recurring references to specialist expertise, reviews, awards, developer relationships, regulatory credibility and transaction support. These explanations show the characteristics AI associates with a company.
Percentages above show the share of responses within the specified category that recommended or shortlisted a company. A response could include several companies, so percentages do not sum to 100%.
Explore the Dubai rankings across eight research areas, see how recommendations change with the customer’s question and understand the reasons AI platforms give for selecting particular companies. The report can help brokerage owners and marketing teams benchmark visibility, assess competitor positioning and identify where stronger evidence and clearer content may be needed.
Get the free reportThe research covered 1 June to 31 July 2026. Commercially relevant questions were run daily across the AI platforms included in each study. Geographic variation was used where supported, and prompts were written without language intended to favour a particular company.
The Dubai dataset contains 5,070 response observations across 40 prompts and eight research areas.
Company appearances were classified before contributing to the rankings. Only genuine recommendations and shortlist inclusions were counted.
Incidental references, citations, comparisons and negative statements were excluded. Each company could receive a maximum of one counted appearance per response, regardless of how often its name was repeated.
The report uses recommendation frequency, response share, prompt coverage and model coverage to assess visibility. Category percentages represent the proportion of that category’s response observations in which a company was recommended or shortlisted.
Comparisons across categories should therefore use the common three-platform view, with Claude considered separately where available.
The research also examined the reasons expressed in AI answers, including reputation, specialist market knowledge, developer access, regulatory credibility, service infrastructure and international reach.
These are the explanations the platforms provided. They do not reveal the models’ hidden internal decision-making or establish that any individual factor caused a recommendation.
The findings measure AI recommendation visibility during the research period. They do not independently verify transaction volumes, achieved prices, service quality, review authenticity or investment performance.
Answers can change as models, source material, retrieval systems and prompt wording change. The rankings are a research snapshot, rather than a permanent assessment of the Dubai market.