AI in property site sourcing: a practical UK guide
Site sourcing used to mean analysts, portals, title documents and spreadsheets. Here's what changes when the public data is connected and searchable from one screen, and where the limits are.
Property is a knowledge business where the knowledge is public but unusable: ownership records, transactions, planning data and lease information exist, scattered across sources that don't talk to each other. This guide covers what connecting them looks like, what it changes and where the limits are; the same lessons apply to any data-heavy sector.
How does property site sourcing usually work?
Finding development and investment opportunities usually means analysts working portals and title documents, cross-referencing by hand into spreadsheets. A serious search can take days. Off-market opportunities, often the valuable ones, surface through luck or relationships, and identifying the owner behind a promising site is its own research project.
What does an AI site sourcing system actually do?
- Plain-English search. Describe the site you want the way you'd describe it to a colleague. A well-built system turns that into queries across public datasets, such as HM Land Registry's price paid data (residential sales in England and Wales since 1995), its data on company-owned titles, registered leases and title boundaries, and local planning data, and returns results with the evidence attached.
- The owner, named where the data allows. Where a title is held by a UK company, HM Land Registry's corporate ownership data names the company, and Companies House records lead to its officers and the people with significant control behind it. Titles held by private individuals are not in the bulk data, so their title registers have to be checked one at a time.
- Off-market signals, daily. The system watches for public events that often come before a sale, such as deceased estates notices in The Gazette and filings by property-owning companies at Companies House, so the team can look at a site before it is listed (see how AI can watch Companies House for changes, and what that feed still misses).
- A shortlist with the evidence. Every shortlisted site carries its sources and the team's notes in one place, so the decision about whether and how to approach it stays with people who know the market.
What does AI change in site sourcing, and what are the limits?
Research that took days can take one search, and some opportunities surface before the market sees them, which in property is much of the game. The limits are real: the Land Registry data covers England and Wales only, the national planning data platform does not yet cover every English authority, and names drawn from public registers are still personal data. The ICO is clear that public availability does not remove people's right to be told how their information is used (see GDPR and AI).
Does this AI sourcing approach work outside property?
Every sector has a version of this (recruitment, insurance, logistics, legal): valuable public or internal data, unusable because it's fragmented. The pattern is always the same three moves: connect the sources, make them answer plain-English questions, wire the answer into the action. If your sector's version of this is on your mind, that's a good first call.
M22 has built a platform of this kind; it is described on our work page, without naming the client.
How does M22 help with this?
M22 Consultancy has built exactly this kind of system: a property intelligence platform that answers plain-English questions over the public property data estate and traces ownership through company structures. M22 is a generalist consultancy, so the same approach, connect the sources, make them answer plain-English questions, wire the answer into the action, applies equally well outside property, in whichever sector a business operates. An M22 audit starts by mapping which of your own data sources are worth connecting, before anything gets built; if it is worth building, M22 builds and runs the system itself rather than stopping at advice. The AI Audit starts at £1,500, a fixed fee agreed before day one. Book a thirty-minute call to talk through your sector's version of this, or see how a Company Brain compares.