Data quality
How to prepare a property listing people and AI can understand
A practical property listing checklist covering identity, price, location, photographs, availability and facts a reader can verify.
4 min readRead guide
Andrius Štitilis writes FindEstate’s practical guides to preparing property catalogs, improving listing data and understanding AI integrations. The articles are for catalog owners and teams who want a clear view of how data moves from its source to public presentation.
Andrius has also publicly presented the RaskNT property search project. Andrius’s public post about RaskNT.
How we prepare these guides
We distinguish product capabilities from decisions made by external platforms. Technical explanations link to their sources, and we review the content when features change. Preparing data does not itself guarantee indexing, recommendations or enquiries.
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Articles by this author
SEO and GEO02
GEO and SEO for real estate: what to do in practice
Separate search indexing, AI answers and direct integrations, then choose useful property content work and evidence you can actually measure.
4 min readRead guide
AI integrations03
MCP versus website indexing: two different routes to AI
Compare public HTML, APIs and MCP for property catalogs, including permissions, useful tests and what a successful connection does not prove.
4 min readRead guide
Catalog maintenance04
How to keep property prices and availability current
A workable process for prices, reservations and withdrawn listings: identify the source, preserve context, resolve conflicts and check the result.
4 min readRead guide
Connecting a catalog05
Prepare a property catalog from a website, API or Excel file
Choose a maintainable source, check representative records, handle API credentials safely and review your first property catalog import.
4 min readRead guide