Searching for an apartment or a house in France often means opening multiple tabs, comparing listings across various platforms, and wasting time filtering poorly targeted results. Pikadom, formerly known as Wipikit, positions itself as a real estate search engine that aggregates listings from numerous portals. Its ambition for this year goes beyond simple aggregation.
Old and New in 2026: Why a Real Estate Engine Must Read Both Markets Separately
You may have noticed that real estate market analyses often speak of a single block, as if buying in the old and buying in the new fall under the same dynamics? In reality, the mid-2026 situation shows a clear bifurcation.
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According to the economic report from the Ministry of Ecological Transition, transactions in the old market are recovering but are already losing steam, with prices slightly rising. The new market remains more fragile: listings are declining, even though reservations and prices are timidly increasing.
Specifically, a buyer who types “3-room apartment Lyon” on a traditional portal gets a mix of new and old listings without a clear indication of local pressure on each segment. They do not know if the targeted neighborhood is saturated with new properties, or if the old ones offer better negotiation margins.
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This is where a tool like Pikadom could provide a more nuanced reading, filtering and scoring results differently according to the segment. To better understand this approach, Pikadom’s innovations on Ventes Immo detail the development axes of the engine.
Pikadom and Energy Quality Selection: A Filter That Traditional Portals Do Not Exploit
Energy performance increasingly weighs in purchase decisions. Thermal sieves (labels F and G) are subject to increasing restrictions for rental. A property owner in the Île-de-France region who wishes to rent out a G-rated property must now undertake renovation work or risk being unable to offer it on the rental market.
The DPE directly influences the sale price and rental capacity of a property. A well-rated property sells faster and at a better price than an energy-hungry property, all else being equal. However, finding this information in a usable form on major listing platforms remains complicated.
Pikadom could differentiate itself by integrating the DPE as a native sorting criterion, not just as a mention in the listing. Imagine a filter that automatically excludes properties whose energy class would require heavy renovation work before being rented out, or that indicates the estimated renovation cost. This type of functionality would transform the search experience for rental investors.
What This Changes for a Concrete Buyer
Let’s take a simple case. A couple is looking for a property in Villeurbanne for rental investment. On a traditional portal, they filter by price, area, and location. They visit three properties, discover on-site that two are rated E and F, and realize afterward that the insulation work would absorb their rental margin.
A search engine that incorporates energy quality from the outset avoids these unnecessary visits. The time saved is real, and the quality of the properties consulted mechanically increases.
Aggregation of Real Estate Listings: What Distinguishes Pikadom from Traditional Portals
A traditional real estate portal publishes listings from its clients (agencies, individuals, developers). It has a commercial interest in keeping the user on its platform. A meta-engine like Pikadom works differently: it indexes listings published on multiple portals and presents them in a single interface.
Why does this distinction matter? Because the fragmentation of the listing market in France remains strong. The same property can appear on three or four platforms with slightly different descriptions, photos in a different order, and sometimes prices that do not match. The buyer spends time comparing, verifying, and eliminating duplicates.
An effective aggregation engine must solve three technical problems:
- Deduplication: identifying that a listing present on SeLoger and LeBonCoin concerns the same property, despite different wording
- Data freshness: signaling properties that have already been sold or withdrawn, which many portals do poorly
- Normalization of criteria: comparing areas expressed differently (Carrez law, living area, usable area) so that the filter by square meter is reliable
Pikadom, as the heir of the Wipikit engine, has been working on these axes for several years. The quality of aggregation determines the trust that the user places in the engine.
Training and Tools for Real Estate Network Professionals
A real estate search engine is not just for buyers. Real estate agents, asset managers, and representatives also use these tools for competitive monitoring and portfolio management.
An agent working in a specific sector needs to know in real time which properties are entering the market, at what price, and how they compare to their own stock of mandates. An aggregation tool then becomes a pricing monitoring instrument.
Pikadom could strengthen its professional offering by providing:
- Personalized alerts by geographic area, property type, and segment (old or new)
- Regularly updated price per square meter indicators, usable for estimates
- A management interface allowing comparison of their mandates with competing properties listed on other platforms
This dual positioning (public and professional) is rare in the French meta-engine real estate sector. Most focus on individuals and leave professional tools to transaction software publishers.
A Market Where Reliable Data Is Still Lacking
Real estate professionals are well aware of this problem: reference values for estimating a property often come from heterogeneous databases. The prices displayed in listings do not reflect actual sale prices. Notarial data arrives with several months of delay.
A search engine that cross-references real-time listings with market history offers a concrete advantage. Pikadom is not yet there publicly, but the technical trajectory of the project points in this direction.
The French real estate market remains a sector where transparency progresses slowly. Both buyers and professionals would benefit from a tool that does not simply list properties but qualifies, compares, and contextualizes them. It is on this promise that Pikadom will be judged in the coming months.