BlogSecteurs & Use CasesReal estate and AI: being recommended by ChatGPT
Back to blog
Secteurs & Use Cases

Real estate and AI: being recommended by ChatGPT

The real estate sector is virgin territory for AI visibility. Discover how agencies and developers can be recommended by ChatGPT and Perplexity.

AS
Alan Schouleur
Expert GEO
8 March 2026
13 min read
0 views
Real estate and AI: being recommended by ChatGPT

TL;DR: Real estate is one of the least optimized sectors for generative AI, making it an enormous opportunity. Buyers and investors are already using ChatGPT for questions like "best neighborhood to invest in Brussels" — and AI has almost no reliable local sources. Agencies that create structured local content will capture this traffic first.

Real estate: virgin territory for AI visibility

Real estate is a paradoxical sector in the AI visibility landscape. On one hand, real estate queries on AI response engines are exploding: +180% in Europe between 2024 and 2026 according to SimilarWeb. On the other hand, sector players — agencies, developers, property managers — are almost entirely absent from these responses.

The result? When a prospect asks Perplexity "Which neighborhood to choose when buying in Lyon?", AI compiles information from generalist sources (Wikipedia, national property portals) without mentioning local experts. This is a colossal opportunity for agencies that create quality local content.

"Local real estate is the sector where the gap between demand for information via AI and the supply of quality content is greatest. The first to close this gap will capture enormous value." — Gianluca Fiorelli, international SEO consultant (Spain)

Real estate queries on generative AI

Here are the most frequent categories of real estate queries on ChatGPT and Perplexity:

CategoryExample queriesVolume (trend)Content needed
Neighborhoods / location"Best family neighborhood in Brussels"Very high (+200%)Detailed neighborhood guides
Investment"Where to invest in real estate in Belgium 2026"High (+150%)Local market analyses
Buying process"Steps to buy property in Belgium"High (+120%)Complete procedural guides
Prices / valuation"Average price per sqm Ixelles 2026"Very high (+180%)Up-to-date market data
Taxation"Real estate taxation Belgium registration fees"Medium (+90%)Structured tax FAQs
Agency selection"Best real estate agency Brussels reviews"Medium (+100%)Expertise pages, testimonials

Creating structured local content

Local content is the most powerful lever for real estate. Here are the priority formats:

Neighborhood guides

Create a detailed guide for each neighborhood or municipality you cover. Include: general overview, average prices, schools, transport, shops, lifestyle, ideal buyer profile, market evolution. A guide of 1,500 to 2,000 words per neighborhood, updated quarterly, is an AI citation magnet.

Market analyses

Publish quarterly analyses of the local real estate market. Average prices, evolution, trends, emerging neighborhoods. This first-hand data is extremely valued by AI because it is rare and reliable.

Buying guides by profile

"Buying your first property in Brussels: complete guide for young professionals," "Buy-to-let investment in Liège: the step-by-step guide." Target specific profiles with detailed guides.

Local real estate FAQs

Real estate questions are very local: registration fees by region, lease specifics, co-ownership rules. Create exhaustive FAQs that answer the questions your prospects ask AI.

Schema markup for real estate

The real estate sector benefits from specific schemas that maximize AI visibility:

SchemaUsageKey data
RealEstateAgentAgency pageName, geographic area, specialties
LocalBusinessContact pageAddress, phone, hours, service area
PlaceNeighborhood guidesGeo-coordinates, description, place type
FAQPageReal estate FAQsStructured Q&A
Article + authorMarket analysesAuthor, publication date, topic
BreadcrumbListAll pagesHierarchical navigation

Schema markup is all the more important in real estate because competition is low — the first agencies to implement it gain a significant head start.

Complete strategy for a real estate agency

Phase 1: technical foundations (weeks 1-3)

  • Website audit (speed, mobile, structure)
  • Implementation of RealEstateAgent, LocalBusiness schemas
  • Creation of the LLMs.txt file with service areas and specialties
  • Google Business Profile optimization (essential for local SEO + AI)

Phase 2: local content (weeks 4-8)

  • Publication of 5 neighborhood guides (most in-demand areas)
  • First local market analysis
  • Local real estate FAQ (taxation, process, regulations)
  • Expertise pages by property type (apartment, house, investment)

Phase 3: authority and growth (weeks 9-12)

  • Regular publication rhythm (1 piece/week)
  • Extension to 10-15 neighborhood guides
  • Case studies of successful transactions
  • Local partnerships for link building

"Real estate agencies that invest in in-depth local content — neighborhood guides, market analyses, tax FAQs — build a lasting advantage that neither national portals nor competitors can easily replicate." — Olivier Andrieu, founder of Abondance.com (France)

FAQ

Should I publish property prices on my site for AI visibility?

Yes, as much as possible. AI values transparency. Publish at minimum price ranges by area and property type. For mandated properties, include prices in structured data even if the page is no longer active after the sale.

Won't portals like Immoweb/SeLoger always dominate?

On transactional queries ("2-bedroom apartment Brussels"), yes. But on informational and expertise queries ("best family neighborhood," "Uccle real estate price evolution"), AI looks for local experts — that's where you win.

How many neighborhood guides should I create?

Start with the 5 neighborhoods where you complete the most transactions. Each guide should be 1,500 to 2,000 words. Gradually extend to your entire service area. Goal: one guide per covered neighborhood/municipality.

Do neighborhood photos and videos help AI visibility?

Images with descriptive alt texts and the ImageObject schema help. Videos (neighborhood tours, resident interviews) boost time on page and signal content quality to Google. Integrate both in your guides.

What budget should a mid-sized agency expect?

A complete AI visibility program for a real estate agency starts at around 1,500 EUR/month (content production, technical optimization, monitoring). ROI is generally visible from month 4 with the first lead attributed to generative AI.

Is your agency visible in the AI responses your prospects receive? Request a real estate AI visibility audit and discover how to capture prospects using ChatGPT and Perplexity in their search.

Share:
AS
Alan Schouleur
Expert GEO

Co-fondateur et COO d'AISOS. Expert GEO, il construit le systeme de visibilite IA qui fait passer les entreprises d'invisibles a recommandees.