Listings with all location insights your users need
Everything about the neighborhood to make listings more relevant, increase engagement, and build trust.
- Modular
- API-based
- Scalable
Hamburg-Mitte ist das zentrale Herz der Hansestadt und verbindet Geschichte, Wirtschaft und urbanes Leben. Hier treffen historische Quartiere...
Status quo
Real estate listings usually show the property but rarely the lived reality in the neighborhood. For seekers, that information is often decisive.
- Noise-sensitive people
- Families with children
- Dog owners
Added value for seekers
- Location knowledge is time-consuming and difficult to research, e.g., noise exposure or family-friendliness
- Pure listing aggregation is becoming increasingly interchangeable
- AI chatbots raise expectations for personalization and depth of information
Opportunity for portals
Enriched listings move portal KPIs.
More engagement and trust
When listings do not only show properties but explain what a location feels like, seekers engage more deeply with the listing and gain trust in the platform. Expectations from prospects are managed realistically.
Better matching of seekers to listings
Location information helps seekers calibrate their preferences and recognize early whether a location fits them.
Satisfied providers thanks to qualified leads
Those who engage deeply with the location in advance reach out more deliberately. This reduces mismatched inquiries and viewing tourism. Providers receive the best leads.
GeoSci location modules
Listings that leave no neighborhood question unanswered and a property search that answers even niche wishes correctly. All modules are API-based and can be integrated easily and step by step.
Curated points of interest
Less is more: the most relevant places around a property.
Thanks to selected POIs, there is no need to filter or prioritize long lists: seekers receive concrete, focused, and verifiable orientation out of the box.
What GeoSci delivers
- Selection of the most relevant POIs per category
- Internal relevance scoring instead of pure distance logic
- Real travel times by car, bike, and on foot
Location ratings
Standardized neighborhood ratings make residential locations comparable and easy to understand and enable AI-powered property search.
- Around 250 location dimensions
- Scientifically grounded methodology
- Continuously improved through Lagecheck user feedback
Display in the listing
- Icons, scales, or badges
- Directly in the listing, e.g., below the map
High-resolution heatmaps
Understand neighborhoods at a glance and compare a property’s ratings to the surrounding area. Heatmaps for selected categories can be shown in your listing location map.
AI-generated location descriptions
Creates clear, factual location descriptions for micro-locations of properties or entire neighborhoods.
- Helpful for seekers and a boost for SEO.
- Reliable through GeoSci data and not hallucinated.
- Tailored to your target groups.
Mülheim ist ein beliebter Ort, nur wenige Meter entfernt vom Rhein und dem Jugendpark. Die Gegend bietet eine Vielzahl von Einkaufsmöglichkeiten, von der Galerie Wiener Platz bis zum Reformhaus Bacher. Sportbegeisterte kommen in der Nähe des Genovevabades und des Tanzbrunnens auf ihre Kosten. Entlang der Frankfurter Straße finden sich Cafés, kleine Läden und gute Anbindung an den ÖPNV. Wer gern am Wasser ist, erreicht die Promenade in wenigen Minuten zu Fuß und hat gleichzeitig kurze Wege in die Innenstadt...
User voices
People who use GeoSci insights to make better decisions
Supermarket, traffic, playground - everything recognized!
Perfect, everything matches. I will need this for my next apartment search!
Noise sources match in occurrence and intensity. Times are accurate too.
