Scout24’s GPT‑5–powered assistant reimagines property search by asking clarifying questions, summarising options, and presenting tailored listings. Instead of complex filters, users describe their needs in plain language, then receive concise recommendations and next steps—saving time and improving match quality across buying and renting journeys.

What’s New & How It Works

From filters to conversations. Users state goals (e.g., “quiet two‑bed near U‑Bahn, balcony, pets allowed”). The assistant clarifies constraints (budget, commute, floor, energy rating), then compiles a shortlist with pros/cons and suggests trade‑offs when inventory is tight.

Intelligent interaction. The assistant adapts answer formats—bullets for scanners, full summaries for planners, or direct listings for power users. It also proposes next steps: save search, set alerts, contact agents, or book viewings.

Why it matters. Conversational guidance reduces drop‑off, speeds discovery, and improves confidence—especially for first‑time renters/buyers or relocators.

Practical Setup (Step‑by‑Step)

1. Define journeys & intents
   Map top tasks: rent a flat, buy a home, list a property. Capture typical constraints, FAQs, and fallback suggestions.

2. Collect signals
   Use location, commute time, amenities, energy class, noise score, and building attributes as structured features the assistant can reason over.

3. Design clarifying questions
   Keep them few and empathetic. Confirm deal‑breakers early (budget range, pets, lift). Offer trade‑offs when inventory is scarce.

4. Summarise & compare
   Standardise summaries (price, size, transport, key features, pros/cons). Provide a comparison frame and call‑to‑action (save, share, book viewing).

5. Measure & iterate
   KPIs: time‑to‑first‑match, shortlist rate, enquiry rate, return visits, and satisfaction. Review transcripts weekly; enrich prompts and data.

6. Trust & safety
   Disclose limitations, keep human‑in‑the‑loop for legal/financial topics, and surface verified data sources for sensitive fields (e.g., energy ratings).

Example Conversations

• Relocation: “I’m moving to Munich with a dog.” → Assistant narrows to pet‑friendly districts, adds commute filter, suggests 3 listings with parks nearby and balcony.

• Trade‑off: “Two‑bed in Berlin under €1,500.” → Proposes similar areas or smaller flats with better transport; explains compromises.

• Owner help: “List my flat.” → Drafts listing from key details, recommends price band, and sets alerts for comparable properties.

Risks & Governance

• Accuracy & attribution: Link claims (schools, travel times) to authoritative data; avoid fabrications.

• Bias: Monitor for unfair exclusions (e.g., neighbourhood stereotyping).

• Privacy: Minimise personal data; provide clear consent for saved preferences.

• Safety: Pin model versions; log actions; provide escalation to human support.

FAQs

What is Scout24’s new feature?
A GPT‑5–powered conversational assistant that helps users search for property using natural language, then refines with clarifying questions and summaries.

How does the assistant personalise results?
It learns preferences during the conversation (budget, amenities, location) and ranks listings accordingly; users can save searches and set alerts.

Is it easy to use?
Yes. It’s designed to be intuitive—type or speak your needs and get curated options with clear next steps (save, enquire, book viewing).

Why use AI for real‑estate search?
It reduces effort, uncovers better matches, and provides guidance in complex markets—saving time for both seekers and agents.