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Choose the right path for site decisions.

Geod is not the only way to evaluate locations. The question is whether your team needs a one-off answer, a custom strategy project, an internal analytics workflow, or a repeatable system for every candidate site.

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Buying paths

What teams compare Geod against

Every path can work in the right context. The tradeoff is speed, repeatability, explainability, and how much operational burden your team wants to own.

Spreadsheets and screenshots

Best when: You need a quick one-off view and the decision is low stakes.

Tradeoffs to check

  • Hard to repeat across markets, teams, and time.
  • Sources, assumptions, and data vintages get lost.
  • Static rings and screenshots rarely survive committee questions.

How Geod differs

Geod turns a candidate site into a repeatable brief with travel-time trade areas, cited sources, explainable scoring, and export-ready output.

Consultants and one-off reports

Best when: You need a bespoke study, executive facilitation, or a one-time market strategy project.

Tradeoffs to check

  • Turnaround can be slow when the pipeline changes.
  • Every new site can become another custom request.
  • Methodology may not become part of the operating rhythm.

How Geod differs

Geod is built for recurring site review. Teams can run new candidates, compare alternatives, and keep the method consistent without starting a new project each time.

GIS or BI stack

Best when: You already have analysts, GIS tooling, clean datasets, and time to maintain the workflow.

Tradeoffs to check

  • The map is only one part of the workflow.
  • Drive-time routing, POI cleanup, scoring, and PDF exports still need glue code.
  • Business users often wait on analysts for each iteration.

How Geod differs

Geod packages the common site-selection workflow into a product experience: define the site, generate the brief, explain the score, and share the result.

Enterprise location intelligence suites

Best when: You need a broad enterprise platform with many mature modules and a longer procurement cycle.

Tradeoffs to check

  • The buyer may pay for more platform than the site committee needs.
  • Seat, report, or data packaging can make experimentation feel expensive.
  • Black-box scoring can be hard to defend if the model is not visible.

How Geod differs

Geod focuses on the decision packet: transparent trade areas, demand and competition context, score components, cannibalization signals, and committee-ready exports.

Internal build with AI and developer tools

Best when: You have dedicated data engineering capacity and want full ownership of the stack.

Tradeoffs to check

  • The first demo can be fast, but production data quality is the hard part.
  • Routing, demographic aggregation, POI categorization, and audit trails need maintenance.
  • The internal team owns every data vendor change and edge case.

How Geod differs

Geod is for teams that want the benefit of a structured site-selection system without staffing and maintaining the full geospatial data product internally.

Evaluation checklist

Ask these questions before you buy or build.

Can you show the exact source and vintage for every number in the brief?
Are trade areas based on travel time, or are they static distance rings?
Can the scoring formula be explained without a data scientist in the room?
Can the same methodology be rerun six months from now?
How does the workflow account for nearby stores and cannibalization?
How long does it take to compare three candidate sites?
Can the output be shared with finance, real estate, and operators without reformatting?
What happens when the team wants to adjust the weighting model?
Try it on a real site

Bring the address. Compare the output.

The fastest way to evaluate Geod is to run one site through the workflow and compare the brief against your current process.

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