This week's product roundup kicks off with the latest big-name marketplace to collaborate with OpenAI and ChatGPT...
ImmoScout24 is now available as an app in ChatGPT, making it one of the first real estate platforms in Europe to do so.
According to a blog post on the company's website, the ImmoScout24 app in ChatGPT displays current listings with photos and prices directly in the chat. Users will be redirected to the listing on ImmoScout's portal in one click.
The ImmoScout24 app in ChatGPT uses the same OpenAI technology that powers the new AI search on ImmoScout24. This means the search understands not only text but also visual features in property photos. Users can search for features such as wooden floorboards, a modern kitchen or a sunny balcony – even if these are not described in the text.
Daniel Hendel, CEO of ImmoScout24, said:
"People are already using AI for everyday decisions–and they have a clear picture of how they want their new home to feel.
"With the integration into ChatGPT, they can now express their preferences in natural language, and ImmoScout24 will find the right properties for them. Visual features are also searchable. Finding a property becomes as easy as having a conversation.”
The ImmoScout24 app in ChatGPT is now available to all registered ChatGPT users in Germany – for Free, Plus, and Pro accounts. The integration supports most listing types, including rental and purchase offers from real estate agents and private sellers.
Swiss Marketplace Group (SMG) has published a blog detailing the process of building and testing a self-hosted open-source LLM (without sacrificing translation quality, speed, and user experience).
The case study goes on to detail the Group's process from initial ideation to optimisation (getting the in-house translator to identify, separate and translate sentences individually, rather than entire text blocks), A/B testing, and conclusions.
According to SMG, the in-house solution was 85% cheaper than, and converted at a similar rate to, the team's paid-for tool.
SMG now only operates its in-house translator, eliminating the previous service "from our stack and from our monthly expenses."
The full case study can be read here.
Managing Partner at Avito, Ivan Guz, has hinted that the Russian generalist classifieds giant is considering offering its SaaS products internationally.
The product in question is Trisigma, which can be used by companies developing digital products for mass markets across e-commerce, banking, streaming services, online education, fast food, and retail.
Guz told ura.ru:
"We've been investing in Trisigma's development for a long time and we see tremendous business value in this product, so we wanted to offer it to other companies. For us, this is, of course, both a commercial interest and a simple need to share our developments with other businesses. Currently, we're already working with a number of fairly large clients, actively piloting our product with them.
"Over 40 companies are already using our solution. For now, this is exclusively in Russia, but in the future, we believe we'll be able to expand to international markets. At the same time, we strategically understand that we're ready and must sell services based on our platform technologies to the market, and we will continue to develop this area." [Translated from Russian]
Avito has begun development of a new AI assistant, Avi, investing circa six million dollars into the product.
Bayut has reported strong early traction for its newly launched TruEstimate Rental Reports.
According to a press release by Dubizzle Group, the new rental reports provide users with rental pricing context based on available transactions and advertised data for comparable properties within the same area, helping to bridge the gap between listing prices and real market behaviour. Bayut’s early performance metrics indicate that property data tools are no longer “nice-to-have” features but are quickly becoming essential decision-support services for end users.
The company says over 1000 reports were downloaded within six days of launch.
Muneeb Farrukh, the VP of Product at Bayut, said:
"Rental pricing decisions are typically driven by guesswork, which creates friction for both, landlords and tenants. From a product standpoint, this level of early adoption indicates strong product-market fit. When users can anchor their expectations to real market data, the decision cycle becomes more efficient and outcomes become more aligned."
99.co, Singapore's second portal, has launched a new map tool that overhauls the home search process to share key details about a property.
Home Finder lets users find a home that fits their budget and lifestyle on one interactive map.
Clicking on any pin reveals detailed project-level information, including its name and exact location, the number of blocks and units, the year the project’s lease commenced, and whether it is a leasehold or freehold development.
An estimated rental cost is shown, while other useful information, like nearby metro stations, is also clearly highlighted. Users can also sign up for alerts when new listings are published on 99.co.
A blog post on 99.co's website said:
For renters today, the challenge is no longer just finding a home. It is about finding the right home without unnecessary stress.
Home Finder was built to bring clarity to that process. By showing how budget and location work together, it helps renters make informed choices earlier and with greater confidence. At the moment, Home Finder supports rental searches. However, resale options are already in development, with more features planned ahead.
For now, it offers a clearer starting point – one that replaces endless scrolling with informed decisions, and uncertainty with visibility.
Lifull Home's, one of Japan's leading real estate marketplace operators, has announced the launch of a new agent training program that closely resembles a card game whereby agents match different customer types to different properties.
The gamified training program aims to eliminate the complications of traditional training methods, including limited role-play interactions, limited instructor skills, and low scalability for one-to-one training. The game was developed using AI analysis of scientific findings and personality typings to ensure new agents receive strong foundational skills from playing the game.
The two-player game will be available for purchase in March 2026, featuring a set of nearly 200 playing cards.
According to a press release:
This card game-style program aims to develop customer service skills for real estate agents, even for those with little experience in real estate sales or those who have already been accepted. The salesperson analyzes the personality of the customer from the conversation, aims to guess their personality, draw out their desired conditions with the optimal approach, and ultimately propose the best property.
Taku Igarashi, developer and planner of LIFULL HR Solutions Division, said:
"Real estate brokerage is not just about introducing properties, but also about the need for advanced communication skills to support clients at life's turning points. However, we have heard desperate complaints from many real estate companies, such as "We are able to attract customers, but we are not able to close deals because we are not training our young staff.
"This product not only reduces the burden on the field, but also helps young professionals build their confidence as professionals early on, providing them with the tools they need to become the best partners for customers looking for a home."
South Africa-based MyProperty's founder Adriaan Grové has announced the launch of the portal in Africa, including several industry-first features designed to empower consumers.
Features include search-as-you-type, AI voice search, travel-time search, draw-on-map search, price histograms, detailed area insights, and multi-language, multi-currency support.
Writing on LinkedIn Grové said:
"MyProperty provides users with richer data, smarter discovery tools, and practical market insights - while giving agents modern, fair, and effective ways to present their listings and expertise. This is a smarter, more transparent property marketplace built for Africa, for consumers and professionals alike."
According to the company's website, users can search 100,000+ properties from 9,984 agents across the continent, with flagship markets including South Africa, Namibia, Seychelles and Mauritius.
Zillow has entered a $500 million revolving credit facility with Goldman Sachs.
According to an SEC filing posted last week:
The Credit Agreement provides for a $500 million revolving credit facility, which amount may be increased by an additional $250 million subject to the terms of the Credit Agreement.
Revolving loans may be borrowed, repaid and reborrowed under the Credit Agreement until January 30, 2031, at which time all amounts borrowed must be repaid. Revolving loans may be prepaid, and revolving loan commitments may be permanently reduced by the Borrower in whole or in part, without penalty or premium.
Revolving loans may be borrowed, repaid and reborrowed under the agreement until Jan. 30, 2031, by which time all amounts borrowed must be repaid.
Zumper, one of the largest privately owned rental marketplaces in North America, has launched a new rental search app within ChatGPT, giving renters the ability to find available homes and access real-time market insights through conversation.
Zumper is the first rental-only platform to join ChatGPT’s new app ecosystem. Users can search listings and explore pricing trends by adding Zumper’s app directly from the ChatGPT app store. Once enabled, the app brings the familiar Zumper experience directly into the conversation, powered by the platform’s trusted rental data, real-time listings, and search technology.
Russell Middleton, co-founder at Zumper, said:
“Integrating a Zumper app into ChatGPT puts the full power of our marketplace and rental data into a natural conversation flow. Our focus is building technology that improves the renter journey while giving property owners modern tools to reach new audiences.”
Jitty has partnered with Keyzy to bring the rent-to-own marketplace's listings to Jitty's homesearch platform.
Through the partnership, prospective buyers searching on Jitty can now discover homes available via Keyzy’s rent-to-own model alongside homes for sale across the wider market. This allows users to explore properties not just by price and location, but by the type of ownership journey that best fits their financial reality.
Keyzy is reimagining the path to homeownership for renters caught in the affordability gap—those who can afford to rent but can't afford a deposit or secure a mortgage. The platform purchases homes on behalf of aspiring buyers, who then rent the property for a fixed two-year period with the purchase price locked in from day one.
Graham Paterson, CEO and co-founder of Jitty, said:
“Too many people are locked out of homeownership not because they can’t afford to live somewhere, but because the system gives them no way to get started. Keyzy has built a genuinely different model that helps renters turn what they’re already paying into a path toward owning a home. Bringing their homes onto Jitty means buyers can discover those opportunities naturally, as part of a wider search that reflects how people actually think about moving and affordability.”
Simon Groll, cofounder at Keyzy said: "We’re thrilled to expand Keyzy’s London reach onto Jitty to bridge the gap between discovery and deposit. By combining AI search with our rent-to-own model, we’re making London homeownership accessible, not just aspirational.”
Mexico’s second-largest property marketplace is extending home search beyond the web, launching AI-powered discovery and lead generation directly inside WhatsApp.
Propiedades.com has rolled out conversational assistants that recommend listings, ask qualifying questions and connect users with relevant agents, all within a chat interface. The feature began a gradual rollout in late 2025 and sits at the centre of a broader AI push led by parent company Habi.
Below: Habi Co-founder Sebastian Noguera on Habi's mission to transform Latin American real estate
The WhatsApp flow is designed to recover and redirect demand when enquiries go unanswered, validating buyer intent before curating alternative listings using behavioural signals and response data. Over time, these interactions feed back into Propiedades’ models to refine matching accuracy.
The move reflects a wider shift toward conversational commerce in Latin America, where messaging apps increasingly function as search, CRM and lead funnels. For Propiedades, it also positions the platform closer to a chat-native marketplace model, reducing reliance on traditional portal visits while tightening the link between discovery and conversion.
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