Searching for a home in Spain could become less about clicking through endless filters and more about simply describing what you want. Costa del Sol real estate agency Enova Estates has launched a new website featuring an AI-powered natural-language property search, allowing buyers to enter detailed requirements in everyday language and receive properties matched to those preferences. The approach is particularly aimed at international buyers who may understand the lifestyle they want without knowing the region’s neighborhoods, municipalities or developments.
Property portals have relied on essentially the same search model for years: select a location, set a price range, choose the number of bedrooms and work through the results.
That model works when buyers already know exactly what they are looking for. It becomes less useful when the buyer’s requirements are more nuanced — particularly when searching for property in an unfamiliar country.
Spanish real estate agency Enova Estates is attempting to address that problem with a new AI-powered property search built directly into its website.
Instead of forcing prospective buyers to translate their preferences into a collection of filters, the system allows them to describe the type of property they want in natural language.
A buyer could, for example, enter a request for a modern two-bedroom apartment near the beach in Estepona, with sea views and a large terrace.
Rather than treating each requirement as an isolated filter, the AI search is designed to interpret the overall intent and identify relevant properties.
That represents a subtle but important change in how property discovery works.
Moving beyond the traditional property portal
Traditional real estate search is largely structured around databases.
Location, price, property type, bedrooms and bathrooms are converted into predefined fields, giving users a predictable way to narrow thousands of listings.
But property decisions often involve qualities that are harder to express through rigid filters.
A buyer might want a quiet neighborhood that is still within walking distance of restaurants. They might want proximity to the coast but not necessarily a beachfront property. Or they may prioritize outdoor space, views and lifestyle over a specific municipality.
Natural-language search gives buyers a way to describe those preferences in the same way they might explain them to an estate agent.
According to Enova Estates co-founder and Marketing Manager Björn Ingbrant, the goal is to make digital property discovery feel closer to having a conversation with an experienced agent.
That is particularly relevant in international property markets.
AI could reduce the location knowledge gap
For overseas buyers, finding a property in Spain can involve another layer of complexity: understanding the geography.
Enova Estates operates across Manilva, La Duquesa, Casares, Estepona and Sotogrande, areas that contain numerous developments, neighborhoods and local property markets.
A buyer based in Sweden, Norway, Germany or the UK may know they want sea views, a terrace, access to the beach and a particular budget without knowing which municipality or urbanization best matches those requirements.
That creates a discovery problem rather than simply a search problem.
AI can potentially help bridge that gap by allowing buyers to start with lifestyle requirements instead of geographic terminology.
This is one of the more interesting applications of generative and semantic AI in real estate. Rather than requiring users to understand the database, the interface attempts to understand the user.
From keyword matching to intent
The technology also reflects a broader shift taking place across digital search.
Search engines, e-commerce platforms and enterprise software are increasingly moving toward systems that interpret intent, context and meaning rather than relying exclusively on exact keywords.
Real estate is a particularly suitable application because property descriptions contain numerous overlapping concepts.
“Large terrace,” “outdoor entertaining space,” “walk to the beach,” “quiet area,” “sea view” and “modern apartment” can all describe related preferences without being identical database fields.
An AI-powered search layer can potentially connect those concepts and return properties that traditional filtering might overlook.
The quality of the experience, however, depends heavily on the underlying property data.
If listings lack accurate descriptions, location information, pricing or amenity details, even sophisticated AI cannot reliably compensate. In property search, better AI therefore has to be paired with better structured and unstructured listing data.
AI is assisting the agent, not replacing one
Enova Estates is also taking a notably restrained position on automation.
The company describes AI as a tool to make discovery faster and more intelligent rather than as a replacement for estate agents.
That distinction matters because purchasing property remains a high-value decision involving financing, legal processes, inspections, negotiations and local market knowledge.
AI can help a buyer find potentially relevant properties. It cannot by itself provide the full range of professional judgment required to complete an international property transaction.
The more practical model is therefore AI-assisted real estate: software handles the repetitive discovery process while human agents provide local expertise and guidance.
International property search is a natural AI use case
The international buyer market also gives Enova’s technology a particularly useful testing ground.
A local buyer may already understand which towns, neighborhoods and developments fit their lifestyle. An overseas buyer often starts with a much less precise mental map.
Natural-language interfaces can reduce that friction by allowing buyers to begin with what they know.
They can describe their budget, preferred lifestyle, proximity requirements, views, outdoor space and property type without first learning the terminology used by a local property portal.
That could make AI search especially valuable in markets such as the Costa del Sol, where international demand spans multiple nationalities and buyer preferences.
The next property portal may feel more like a conversation
Enova Estates’ launch illustrates a broader direction for proptech.
The next generation of property platforms may not simply offer better filters. They could increasingly act as conversational discovery systems capable of interpreting what buyers mean and translating those requirements into property recommendations.
The real test will be whether these systems improve outcomes rather than simply making search interfaces more novel.
For buyers, that means finding relevant homes faster. For agents, it could mean spending less time helping prospects navigate databases and more time advising qualified buyers.
For international markets, the technology could also make unfamiliar regions easier to explore.
Enova Estates is betting that the future of property search is not another filter menu.
It is a conversation.
Market Landscape
AI is beginning to reshape real estate technology across several parts of the property lifecycle:
- Natural-language property search: Buyers can describe lifestyle preferences instead of relying exclusively on structured filters.
- Semantic matching: AI can connect related concepts across property descriptions and buyer requirements.
- Conversational real estate: Chat-based interfaces are emerging as alternatives to traditional portal navigation.
- International property discovery: AI can help overseas buyers explore unfamiliar markets using lifestyle rather than geographic terminology.
- AI-assisted agents: Technology can automate discovery and qualification while leaving negotiation, local expertise and transaction management to humans.
- Property data quality: Better AI increases the importance of accurate listing information, standardized metadata and trustworthy property data.
The competitive advantage for real estate platforms may increasingly come from how well they understand buyer intent, rather than simply how many listings they host.
Top Insights
- Enova Estates is bringing natural-language AI to property search, allowing buyers to describe homes using everyday language rather than relying entirely on conventional filters.
- International buyers could benefit most, because they can search by lifestyle requirements without already understanding Costa del Sol geography.
- Semantic search changes property discovery, potentially connecting preferences such as views, terraces, beaches and neighborhood characteristics.
- Human agents remain central, with AI positioned as a discovery and matching tool rather than a replacement for local property expertise.
- Proptech is becoming conversational, following a broader technology shift from structured interfaces toward AI systems that interpret user intent.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
