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These examples show Ploti in action—real queries, real results, real time savings. Each walkthrough demonstrates a specific use case with screenshots so you can see exactly what to expect.

How to Use These Examples

Each example follows the same pattern:
  1. Select a boundary — Choose a county, city, or draw a custom area
  2. Ask a question — Describe what you’re looking for in plain English
  3. Review and refine — Work with Ploti to narrow down results
  4. Export or save — Add properties to leads or export for further analysis
The best way to learn is to try these queries yourself. Copy the prompts, adapt them to your market, and see what Ploti finds.

Browse by Category

General

Cross-industry techniques that work for any property type—owner research, distressed properties, comparable sales, and more.

Residential

Subdivision feasibility, lot yield analysis, and residential development site selection.

Commercial

Office sites, parking analysis, and commercial development opportunities.

Industrial

Logistics sites, manufacturing locations, rail access, and brownfield opportunities.

Retail

Void analysis, pad sites, traffic patterns, and competitor proximity.

General Examples

These techniques apply across all property types:
ExampleWhat You’ll Learn
Ordinance LookupResearch zoning codes and find sites for specific uses
Owner ResearchFind LLCs, out-of-state owners, trusts, and portfolio holders
Distressed PropertiesIdentify long-term vacant holdings and motivated sellers
Arbitrage AnalysisFind undervalued properties using statistical analysis
Environmental ScreeningCheck for wetlands, flood zones, and contamination
Land AssemblageFind adjacent parcels that can be combined
Infill LotsLocate buildable lots in established areas
RedevelopmentIdentify underutilized properties ripe for redevelopment
FLU MismatchFind properties where zoning doesn’t match future land use

What Makes These Examples Different

Unlike generic tutorials, these walkthroughs show:
  • Real data — Actual parcels, actual owners, actual values
  • Iterative refinement — How to work with Ploti through conversation
  • Time savings — What this would take manually vs. with Ploti
  • Edge cases — How to handle HOA parcels, data outliers, and other real-world issues
Ready to try it yourself? Pick an example above and follow along in your own Ploti workspace.