Online real estate search is no longer just about browsing listings on a portal. The arrival of conversational assistants powered by artificial intelligence is changing the very entry point of the process: an increasing number of buyers are now formulating their criteria in a chatbot before opening a specialized site. Measuring the gap between these two approaches, traditional filtering and conversational search, helps to understand where the real time savings occur.
Traditional Real Estate Search vs. AI Conversational Search
Traditional portals operate by stacking filters: location, area, number of rooms, budget. The user checks boxes, adjusts settings, and refines. Conversational platforms, on the other hand, start with a natural language phrase and refine through dialogue.
| Criterion | Filter Portal (SeLoger, LeBonCoin) | Conversational Search (Omny, SeLoger IA) |
|---|---|---|
| Mode of Interaction | Checkboxes, price sliders | Free text, iterative dialogue |
| Volume of Listings Processed | Portal-specific database | Multi-source aggregation (nearly one million synchronized listings each week for Omny) |
| Number of Steps Before Relevant Result | Several back-and-forths between filters/results | Reduced by contextual understanding |
| Consideration of Qualitative Criteria (brightness, quiet, proximity to school) | Limited to available fields | Interpretation of natural language |
| Availability | Website and mobile app | Integrated into ChatGPT or the portal’s app |
SeLoger has launched a smart search feature powered by AI, accessible on the website and mobile applications, with the stated goal of reducing the number of steps needed to access relevant results. Omny, a French start-up, takes this logic further by offering a complete A to Z search through simple conversation in ChatGPT.
The most noticeable gap lies in qualitative criteria. Typing “bright apartment with balcony near a kindergarten in Lyon 3rd” into a conversational assistant produces a filtered result that a traditional portal cannot provide without a series of ten successive clicks. To explore these new possibilities alongside traditional portals, centralizing your monitoring via the Immorise site for your searches allows you to compare listings from different sources without multiplying tabs.
Advanced Filters and Alerts: Underutilized Features of Real Estate Portals
The majority of buyers use basic filters (price, area, location) and ignore advanced options. However, portals offer second-level criteria that change the quality of the results.
- Exclusion of keywords in the description: eliminating “ground floor,” “work to be done,” or “life annuity” reduces noise effortlessly.
- Filter by publication date: only seeing listings from the last 48 hours provides an advantage for properties that sell quickly, especially in tight markets.
- Geographical perimeter drawn by hand (map) rather than by postal code: the same postal code can cover neighborhoods with very different prices.
- Combined alerts: setting multiple alerts with variations of criteria (slightly smaller area but with outdoor space, or higher budget but different neighborhood) broadens the spectrum without flooding the inbox.
Setting alerts on multiple portals simultaneously remains the most reliable method to catch a property before it receives too many visits. The time between listing and first contact has a direct impact on the ability to secure a viewing.
Impact of Generative AI on Traffic to Real Estate Sites
The rise of Google AI Overviews is changing the game for portals. Recent analyses confirm a decline in organic traffic for French real estate sites linked to the display of answers directly in search results. The information that the internet user was looking for (average price per square meter, neighborhood trend) appears without a click.
For the buyer, this evolution has a concrete consequence: market data arrives earlier in the decision-making process. However, the quality of these generated summaries remains uneven, and cross-referencing multiple data sources remains necessary to avoid relying on a figure taken out of context.
Le Journal du Net emphasizes that the real estate sector must build an infrastructure adapted to these new algorithmic intermediaries. Specifically, this means that the portals that best structure their data (prices, diagnostics, property history) will be the ones whose listings will rise in conversational responses. A savvy buyer will therefore favor platforms whose listings are the most complete and well-structured.
Online Real Estate Search Criteria: What Saves Time
Refining filters is not enough if the hierarchy of criteria is unclear. The distinction between non-negotiable criteria and comfort criteria radically changes the volume of results to process.
A non-negotiable criterion is not up for discussion: maximum budget including charges, commute time, minimum number of bedrooms. A comfort criterion (high floor, parking, balcony) can be compromised if the property checks all the structural boxes.
Listing a maximum of three non-negotiable criteria forces you to clarify your priorities. Beyond three, the number of compatible listings drops disproportionately, especially in tight markets. It is better to broaden on a comfort criterion and compensate with a well-prepared visit.
The other underestimated lever is the frequency of consultation. The most sought-after properties find buyers within days. Checking alerts twice a day, in the morning and at the end of the day, covers the peaks of publication from agencies and individuals.
Shifting from a passive browsing logic to an active monitoring approach, combining set alerts, conversational search, and cross-checking market data, is now the factor that separates a prolonged search from one that concludes in a few weeks.
