EmlakJet’s AI Makeover: How Turkey’s Biggest Portal Became a Decision Platform

A new era for real estate in Turkey — and what it means for buyers

If you follow the real estate in Turkey market, EmlakJet’s relaunch this year is hard to ignore. Marking its 20th anniversary, the portal has repositioned itself away from the classic listings model and toward what it calls a “real estate decision platform.” That shift matters because it changes how buyers, investors and expats can evaluate property offers before they even arrange a viewing.

In this piece we explain what changed, why the merger with the valuation specialist Endeksa matters, how the new tools work, and what investors should watch for when they rely on automated valuations and forecasts. Our analysis is grounded in the relaunch details announced by EmlakJet and the technical features that are now embedded across listing pages.

What EmlakJet added: the product breakdown

EmlakJet’s relaunch folds Endeksa’s valuation engine into the listings. The headline features that appear alongside photos and location data are:

• Estimated value range for the property.
• Rental yield potential and an investment score.
• Payback period calculation.
• Five-year price history for comparable homes and a one-year forecast.
• Option to view data in inflation-adjusted terms.
• Price-per-square-metre, sale-values, yields and five-year trends available at province, district and neighbourhood level across all 81 provinces of Turkey.
• Drone-assisted discovery for a bird’s-eye view of an area.
• An AI assistant, EmlakZeka, that answers plain-language questions on neighbourhoods, market trends and investment options and can value a property, plot or land in seconds.

These items convert raw listings into layered analytics. The company runs the relaunch under the slogan "Smart Listings, Right Decisions."

The visible vs the structural upgrade

The visible upgrade is the extra data on the listing page. The structural change is the deal that made it possible: a February merger with Endeksa and a management move that put Endeksa co-founder Gorkem Ogut in the chief executive role for the combined business. Both brands are part of the iLab portfolio.

Why the Endeksa merger matters

Endeksa is known in Turkey for automated property valuation models. By merging the valuation engine with a high-traffic listings portal, EmlakJet has shifted from being a catalogue to being an analytics layer between supply and demand.

From a market-structure perspective, the merger does three things:

• It embeds valuation and market context directly into the browsing experience, reducing the need for separate research tools.
• It pushes higher-quality data to prospective buyers and investors who might previously have relied on headline listing prices or anecdote.
• It creates a single interface where comparisons, yields and forecasts are immediately visible, so decisions can be faster and more evidence-driven.

Gorkem Ogut framed the strategy by saying users want more than listings; they want help taking a decision. In practice that means EmlakJet now supplies both raw supply data and modelled indicators that interpret that supply.

How the tools actually work — what you see on a listing

When you open a listing now you get more than photos and a map. The listing carries:

• An estimated value range, not a single-point price.
• A rental yield estimate and a derived payback period (years to recoup purchase cost from rental income, ignoring running costs).
• An investment score that weighs factors such as recent comparable sales, yield and trend momentum.
• A downloadable view of five-year comparable price history and a one-year forecast; both can be shown in nominal or inflation-adjusted terms.
• Location analytics that let you pull price per square metre and sale-value trends at province, district and neighbourhood level across Turkey’s 81 provinces.

The platform also offers a drone-driven area view and EmlakZeka, the conversational AI assistant. EmlakZeka accepts plain-language queries on neighbourhood differences, recent sales trends and whether a particular property would make sense as a buy-to-let investment.

Human agents remain on the platform. Users can still browse consultant profiles and contact an agent directly if they prefer a human-led transaction.

Practical implications for buyers and investors

We have used valuation engines and listings portals for years, and the integration is a meaningful advance — with caveats. Here is what matters in practice.

What helps you:

• Faster screening: You can ignore listings whose estimated value falls outside your budget or whose yield is too low relative to your target.
• Context-rich comparables: Five-year comparable history and inflation adjustment reduce the risk of being misled by nominal price moves in a high-inflation economy.
• Localised metrics: Access to price-per-square-metre and yield at the neighbourhood level is helpful in Turkey, where city-level averages often hide big micro-market differences.
• A check against overpaying: If several comparables indicate a lower value range than the asking price, that is a bargaining signal.

What to watch:

• Model assumptions: Automated valuations depend on the database of transactions, the choice of comparables and the weight given to different attributes. Those assumptions are not always visible to the user.
• Forecast limits: A one-year projection is useful; it is not a guarantee. Forecasts can miss sudden macro shifts such as policy changes or currency moves.
• Yield caveats: Rental yield estimates typically exclude running costs, taxes, vacancy time and property-management fees. Investors should adjust yields down to estimate net return.
• Data gaps in smaller towns: Valuation accuracy tends to be lower in areas with sparse transaction data. Expect higher confidence in major cities and lower confidence in thin-market suburbs and provincial towns.

In our analysis, buyers should treat EmlakJet’s valuation range as a first filter. Use it to shortlist properties, then verify with a local agent, an inspection and an independent appraisal if the candidate is material to a portfolio.

How reliable are AI valuations?