GEO for real estate: how to get cited by AI
Property decisions increasingly start with AI: 'is it worth buying in area X', 'apartment prices in …', 'new builds near the metro'. It's high-stakes and near-YMYL — engines value concrete market data, area guides and verified agent expertise.
Where you lose AI answers
- AI answers about an area and prices with aggregator data, not yours.
- Listings without structured data (price, area, geo) aren't 'seen' by the engine.
- No area guides or market analytics — nothing to cite for research queries.
How people ask AI
GEO checklist for this niche
'Living in area X' content: infrastructure, transit, prices — entry points for research AI queries.
Concrete numbers (price trends, avg rate) with a source link — engines cite facts.
Structured data on listings (price, area, geo) + LocalBusiness for the agency.
Agent/developer profile, track record, sameAs — trust in a high-stakes near-YMYL topic.
A short answer up top and FAQPage for common buyer questions.
Want this done for your site — end to end?
FAQ
What drives reach in real estate?
Area guides and market analytics with sources — exactly what AI cites for 'is it worth buying' and 'prices in …'. Plus listing schema and agent E-E-A-T.
Where to start?
Build 2-3 guides for key areas with data and sources, add listing schema and an agent profile — then run the GEO checker.