OLX Group has unveiled two new artificial intelligence tools for online marketplaces, with OLX Agentic Selling leading a launch that puts trust and human control at the centre of the buying and selling experience. According to reports on the announcement, the tools were presented at CLAIM Online 2026, the company's future-of-marketplaces summit, on October 27, 2026, with news of the launch published on October 28, 2026.
OLX Group describes itself as a global online classifieds leader with nearly 60 million daily listings across 11 brands in seven markets, and the company is the classifieds business of Prosus. According to the company, it has been building artificial intelligence into its marketplaces for more than eight years, drawing on over 20 years of relationships with dealers and realtors and on verified marketplace data that generic AI models cannot access. That history matters for OLX Agentic Selling, because the tool is aimed at one of the most consequential transactions most people make: selling a home.
How OLX Agentic Selling Works for Property Sellers
OLX Agentic Selling is now live for 20 percent of private sellers on Otodom, the company's property platform in Poland. According to OLX, the tool helps people list, manage and sell their properties by guiding sellers through a clear process from valuation to posting. Rather than replacing the seller, OLX Agentic Selling is designed to provide transparent, data-backed pricing guidance and listing drafts while keeping final pricing and disclosure decisions entirely in the seller's hands.
The distinction is deliberate. Selling a property involves pricing judgment, presentation choices and disclosure obligations, and a mistake in any of those areas can be costly. By keeping the seller in control of the final call, OLX Agentic Selling treats automation as assistance rather than delegation. The approach also reflects a broader shift in agentic AI design, where the most useful systems handle routine complexity and surface clear reasoning, while people retain authority over decisions that carry real financial consequences. Readers following the wider agent economy can see a similar pattern in recent coverage of agentic AI tools for enterprise work, where human oversight remains part of the product promise.
OLX Agentic Selling also arrives with evidence from live products. According to the company, AI-generated titles and descriptions lift posting completion by 11 percentage points for sellers, and AI-powered ad posting cuts time-to-post by 50 percent in real estate. In Motors, more than 70 percent of dealers accept AI-made videos of their cars. Agentic search is already live across Motors and Real Estate, and AutoIQ, the company's dealer agent, is live with all dealers on its platforms in Poland and Portugal. Those results suggest that OLX Agentic Selling is not a first experiment, but an extension of systems that sellers and dealers already use every day.
DealFinder Brings Agentic Help to Buyers on WhatsApp
The second tool in the launch, DealFinder, works from the buyer side. According to OLX, DealFinder is a buyer-side assistant on WhatsApp that finds items, sets price and item alerts, and accepts searches by text, image or voice. The tool is currently being scaled after a beta test period in Portugal that drew 2,000 users, and OLX reported that DealFinder achieved an 18 percent conversion rate to contact during beta testing.
DealFinder matters because buying on a classifieds marketplace is often a waiting game. A good listing can disappear quickly, a price drop can be easy to miss, and describing an item in words alone does not always work. By accepting image and voice searches alongside text, DealFinder lowers the effort of starting a search, and by handling alerts, the tool keeps buyers close to the market without requiring constant manual checking. The WhatsApp setting is also significant: meeting buyers inside an app they already use removes friction that a separate app or portal might create.
Together, OLX Agentic Selling and DealFinder cover both sides of a marketplace transaction. One tool helps a seller present a property well and price it with data behind the decision. The other helps a buyer find the right item at the right moment and act on it. That symmetry is part of why the launch is worth watching for anyone building agent tools for commerce, because marketplaces only work when both sides trust the process.
Surveys Show Use of AI Is Not the Same as Trust in AI
Alongside the launch, OLX published two surveys about artificial intelligence in two of life's biggest decisions: finding work and finding a home. According to the company, the findings show a clear gap between adoption and trust, and that gap shapes how OLX Agentic Selling and DealFinder are designed.
The OLX Jobs AI survey was conducted by SW Research for OLX Group in October 2026 as an online survey of 1,510 people aged 18 to 29 living in cities of 200,000 inhabitants or more, with around 300 respondents in each of France, Germany, Poland, Romania and Ukraine. According to the survey, 92 to 96 percent of respondents reported using AI tools in their personal lives, while fewer than 41 percent felt ready for changes in the labour market. Men rated their AI skills more highly than women did, though both groups expressed the same level of concern about AI's impact on careers, at 31 percent. Poland was the most cautious of the surveyed markets, with 37 percent of young people there reporting high or very high concern about AI and automation.
The OLX Real Estate survey was conducted by OLX Group in October 2026 among home seekers using its real estate platforms in Poland, Portugal and Romania, with 2,819 respondents across the three markets, counting both completed and incomplete responses. According to OLX, the results describe platform users and are not representative of all home seekers in these markets. In that survey, the most requested AI features were alerts for matching listings and side-by-side comparison tools. Only 5 percent of respondents said they would trust an AI valuation more than a human agent's estimate, while 36 percent trusted the realtor's estimate, and 78 percent wanted AI-altered listings disclosed.
Those numbers explain the design choices behind OLX Agentic Selling. If only a small share of home seekers would trust an AI valuation over a human estimate, then a selling tool that hides its reasoning or takes pricing out of the seller's hands would likely fail, no matter how accurate the model might be. Transparency, disclosure and seller control are therefore not decorative features. They are the conditions under which people will actually use the tool for a high-stakes decision.
What the Launch Signals for Agentic Marketplaces
OLX reported 86 live Machine Learning use cases, 28 live GenAI use cases and 14 agentic solutions in-market across its 16 marketplaces. In Jobs, the company's CV Optimiser reads role requirements to help candidates refine, structure and tailor their CVs, while its AI Interviewer runs more than 1,000 practice interviews a month and gives candidates feedback before they meet a hiring manager. According to OLX, 88 percent of users found CV Optimiser useful and 90 percent said they love the AI Interviewer. Those tools, along with AutoIQ, were demonstrated at CLAIM Online 2026, the invite-only summit for leaders, investors, technologists and thinkers shaping the future of marketplaces.
For the wider agent ecosystem, the OLX launch offers a practical lesson. The debate about agentic AI often focuses on speed and autonomy, on how much a system can do without human input. OLX is making a different argument: speed matters, but trust is what makes agentic AI useful in markets where real money, real homes and real careers are at stake. That argument is likely to travel well beyond classifieds, as agent tools move into hiring, housing, finance and other areas where a wrong recommendation has lasting consequences. Similar questions about oversight and control appear across recent coverage of AI and the changing workforce, where automation and human judgment are being renegotiated at the same time.
Chief Data Officer Andreas Merentitis described the guiding principle behind the new tools as a simple one, reported by the company: AI should handle the complexity, while people make the decisions that matter. Chief Executive Christian Gisy added, in reported remarks, that adoption shows who has tried AI, but not whether people trust the outcome, and that people want to see why a tool makes a recommendation and to keep the final call. OLX Agentic Selling is built to meet that standard, and its rollout on Otodom will be a useful test of whether trust-first design can scale in a live marketplace.
Sources: reporting on the launch from Unite.AI and the original announcement carried by PR Newswire.
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