Land Information New Zealand

Track Property Ownership Across New Zealand Using Name Matching

Use automated name-match searches across LINZ title records to surface property ownership leads for genealogy, fraud investigation, and regulatory research — with built-in transparency about data limitations.

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Painpoint

Genealogists, fraud investigators, and researchers tracking individuals or entities across multiple properties spend considerable time manually searching title records, with no easy way to surface name patterns at scale.

Autohive solution

Autohive agents run automated name-match searches across LINZ title records to surface all titles where a name appears, flagging results as research leads that require further verification rather than definitive proof.

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The Challenge

Tracking individuals or entities across multiple properties in New Zealand requires searching title records by name — a task that doesn’t scale when done manually. Genealogists tracing family land holdings, fraud investigators following ownership trails, and regulatory bodies monitoring specific entities all face the same problem: finding all the titles where a name appears without knowing in advance where to look.

Manual name searches through LINZ records are slow, inconsistent, and easy to miss. Automated searches surface patterns — but name matching has inherent limitations that must be understood and communicated clearly.

  • Manual name searches across national title records are time-consuming and incomplete
  • Name variants (maiden names, shortened names, entity name changes) create gaps
  • Same-name individuals can generate false positives that mislead investigations
  • Research teams need a starting point, not just raw data — they need results contextualised

The Autohive Solution

Autohive agents use the find_multi_property_owners action to run automated name-match searches across LINZ title records. Critically, the integration explicitly flags that matching names alone do not prove common identity — a design that makes results more useful for investigative workflows by treating them as research leads rather than conclusions.

Agents query LINZ title records nationally or within specific land districts to surface all titles where a target name appears. Results include property locations, title references, and ownership context.

Transparent Limitation Reporting

The integration surfaces name-match limitations directly: same-name individuals and name variants may create false positives or false negatives. Agents communicate this clearly in their output, helping research teams calibrate confidence appropriately.

Structured Lead Generation

Rather than presenting raw search results, agents package name-match outputs as structured research leads — with title references, property locations, and flagged uncertainty — ready for further verification steps.

Benefits

  • Scale without manual effort - Surface name patterns across thousands of title records automatically
  • Investigative starting points - Structured leads reduce time spent deciding where to investigate next
  • Built-in transparency - Limitation flags prevent overreliance on name-match results alone
  • Flexible scope - Search nationally or constrain to specific land districts as the investigation requires
  • Repeatable methodology - Consistent automated searches create an auditable research trail

How It Works

  1. Define search target - Specify the name or entity to search across LINZ title records
  2. Agent queries LINZ - The find_multi_property_owners action runs name-match searches across national or district-scoped title records
  3. Matches surfaced with context - Results include title references, property locations, and land district data
  4. Limitations flagged - Agent output explicitly notes that name matches require further verification
  5. Structured leads delivered - Packaged results are ready for investigative follow-up or report inclusion

Getting Started

  1. Sign up at app.autohive.com
  2. Connect the Land Information New Zealand integration from the marketplace
  3. Configure your agent with name-match research parameters
  4. Define search scope (national or land district-specific)
  5. Deploy your agent to automate ownership research workflows
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