Alternatives to site selection consultants

A traditional consulting engagement usually delivers a one-time study: a thorough read on a single site or market at one point in time. Software gives you the ability to ask the same question whenever you need to. That gap between a one-time deliverable and a capability you keep tends to matter more than the headline price.

A paid market study is thorough and well-researched. The limitation is that it freezes on the day it lands. The next candidate site means a fresh study and a fresh fee, plus the weeks of waiting that come with it. Teams that open more than a handful of locations a year end up commissioning much the same analysis again.

Indicative consultant fees land somewhere around $5,000 to $25,000 for a single feasibility study, and $50,000 to $150,000 or more for a full-market expansion strategy. Self-serve software usually runs a few hundred to a few thousand dollars a month, and one subscription covers as many candidates as you care to score.

The crossover arrives fast. Evaluate ten or more sites a year and a subscription you run yourself almost always costs less per decision than a separate study for each one. Below that, and especially for a single high-stakes entry into an unfamiliar market, a one-off study can still be the better buy. Treat every number here as indicative; it varies by scope, market, and provider.

A study takes weeks to months. A software score takes minutes. That gap matters most when a deal is moving and a landlord wants an answer before the next candidate signs.

Repeatability is the quieter advantage. Run every site through the same model, with the same criteria and weights, and you can compare candidates on equal footing. A stack of consultant reports written by different analysts in different months is much harder to line up side by side.

• Explainable scoring. A transparent, adjustable weighted score where you can see how much each factor contributed, rather than a number you have to take on faith.
• Drive-time and walk-time trade areas. Built from the real road network, so access reflects roads and travel time rather than a radius or a ZIP.
• Demographics and demand. Pulled automatically inside each trade area, with the data vintage attached.
• Competition and cannibalization. Mapped against rivals and your own existing units, so you see net-new demand rather than transferred sales.
• Scenarios and a committee brief. Compare candidates, then export an explainable, committee-ready PDF you can defend in a meeting.

The boundaries matter as much as the features. Software will not build a relationship with a landlord or negotiate a lease, and it will not walk an entitlement through a zoning board. Geod handles the repeatable analytical core of a study while the people who close the deal handle the rest.

• A genuinely new market. When you have no local read at all, a consultant or local broker surfaces nuance that a national dataset misses.
• Complex incentives. Securing economic-development incentives and abatements is specialist work that runs on relationships.
• Entitlement and zoning. Getting a use approved is a legal and political process that sits well outside what a model does.
• NIMBY and political risk. Community opposition and council dynamics call for someone on the ground who knows the players.
• Lease negotiation. A CRE broker with local relationships often pays for themselves on terms a model cannot influence.
• Niche advisory. Unusual formats and one-off strategic calls can warrant bespoke expertise.

Most strong expansion teams use both. Software handles the repeatable analytical work at volume, and expert dollars go only where judgment and relationships move the deal.

Screen and rank every candidate in the tool, build a defensible shortlist, and pass the two or three sites that survive to a broker or consultant. They take on negotiation, incentives, and the local relationships a model cannot replace. You stop paying for analysis you can re-run yourself, and you reserve the expert budget for the last mile where it earns its return.

Much of what a consultant delivers is a document a real estate committee can act on. An explainable platform produces that directly: a brief that shows the score, the criteria and weights behind it, the drive-time trade area, the demographics and competition, the cannibalization against your existing units, and the source and vintage of every figure.

Because the logic is visible, the committee can challenge it, which is what a good committee should be able to do. A transparent brief you generated yourself often defends better than a black-box number you paid for, because you can answer every question about where each input came from.

The cost figures on this page are indicative as of June 2026 and vary widely by scope, market, and provider. Consultant fees depend on the depth of the study and the number of markets covered. Software pricing depends on seats, data coverage, and contract length. Confirm current numbers directly with each provider before you budget against them.