There is no single best tool for retail site selection analysis. The right one depends on the question you are asking, the size of your team, and whether anyone on it works in mapping software every day. Most tools fall into three types, and there is a fourth route for teams that just want to ask a question in plain English.
We make one of the tools in this space, so we have said where we are the right call and where we are not.
Key takeaways
- Retail site selection analysis answers one question: where should the next store go, and what will it do to the stores we already have?
- Tools fall into three types: foot traffic and trade area tools, GIS and demographic modelling tools, and turnkey site selection platforms.
- Many retail teams pair two tools rather than pick one.
- A fourth route is to ask location questions in plain English in an AI assistant, using BigGeo AI.
- BigGeo AI is not a revenue forecasting or store-fit scoring product. If you need that, use a dedicated platform.
What does retail site selection analysis actually need?
A good analysis needs five things: who lives nearby, how many people pass by, who else is selling to them, how far people will travel to you, and what a new store would take from your existing ones.
Here is what each one means in plain terms.
- Demographic fit: Do the people around the site match your customer? Public sources help here, such as the US Census Bureau's American Community Survey or the Statistics Canada Census.
- Foot traffic: How many people visit places nearby, and when. This usually comes from a data provider.
- Competition density: How many rival stores sit in the area, and how close they are. Points of interest data covers this, and OpenStreetMap is a free public starting point.
- Trade area: The area your customers actually come from. It is not a circle on a map. It follows roads, barriers and habits.
- Cannibalization: Sales a new store takes from your own nearby stores. It is the one teams most often check last and wish they had checked first.
All five are spatial data. Spatial data is any data tied to a place on Earth: an address, a delivery route, a store's trade area. If you have ever asked "where should we open next?", you have already asked a spatial question.
What are the three types of retail site selection tool?
Tools split by the job they do best. This is how the tools most often named for this question are commonly grouped, and the groups are about role, not quality.
- Foot traffic and trade area: What it does best: Shows how many people visit a place and where they come from, so you can check a site you already like; Who it suits: Teams validating a shortlist; Examples often named: Placer.ai
- GIS and demographic modelling: What it does best: Builds custom maps and models from demographics, competitor locations and your own sales; Who it suits: Teams with a GIS analyst; Examples often named: Esri ArcGIS Business Analyst, Caliper Maptitude, CARTO
- Turnkey or predictive platforms: What it does best: Scores sites and forecasts performance in one package, with the method built in; Who it suits: Chains opening many stores, with real estate teams; Examples often named: SiteZeus, Kalibrate, Buxton, SiteSeer, GrowthFactor
Two things are worth knowing before you choose.
First, many teams use two. A common pairing is a foot traffic tool to check demand and a modelling or turnkey tool to compare sites.
Second, many best-of lists are written by vendors who rank themselves first. Check who wrote the one you are reading, including this one.
Which tool fits which team?
Pick by the people you have, then by the question.
A lean team with no GIS staff. You need answers without a month of setup. A turnkey platform gives you a method and a score. Asking questions in plain English in an AI assistant gives you speed and flexibility, but not a forecast.
A team with GIS staff. A GIS and modelling tool gives you control. Your analyst can build the model your business actually uses, with your own sales data in it.
An enterprise real estate team. You are comparing many sites against a pipeline and a budget. A dedicated site selection platform is usually the right call, often alongside a foot traffic source. This is the case where we would not suggest asking an assistant to replace your platform.
Is there a plain-English way to do site selection analysis?
Yes. You can ask site selection questions in an AI assistant and get answers drawn from real location data. This is the route BigGeo AI adds.
BigGeo AI is listed in the ChatGPT app directory and the Claude connector directory. It runs spatial analysis, such as proximity and density questions, on data an organization has released for AI. Spatial Friction is the lag and complexity that keep location data stuck in spreadsheets and specialist software. This route removes some of it, because the person with the question can ask it directly.
To start:
- Add BigGeo AI from the ChatGPT app directory or the Claude connector directory.
- Sign in.
- Approve it for your organization.
- Ask a site question in plain English.
Sample questions you could ask:
- Which of my shortlisted areas are closest to the most relevant points of interest?
- Where are competitor stores most densely clustered near this candidate area?
- Which candidate areas sit near the most places that bring in the kind of customer we want?
These are examples of the kind of question to ask, not outputs. What you get back depends on the data your organization has made available.
Where this route fits, and where it does not
It fits early screening, quick checks on a shortlist, and teams without a GIS analyst. It does not replace a platform that forecasts revenue or scores store fit. If that is your job, use one of those. Many teams will use both.
How does BigGeo AI handle data access?
BigGeo AI only reaches data that its owner has released for AI, and permissions follow the person asking. If you could not see a dataset before, the assistant cannot show it to you now. The same governance applies across BigGeo, so the people who own the data keep control of it.
Where does the location data come from?
Analysis is only as good as its inputs. If you do not have foot traffic or points of interest data, the BigGeo Marketplace is where teams find and buy it.
You can browse by industry (retail, for example), by use case, and by geography. Check coverage and sample data before you buy, then pay by card or credits. AI assistants can browse listings without signing in through the public Marketplace MCP, so the same search works from the assistant you already use.
FAQ
What is retail site selection analysis?
It is the work of choosing where to open a store. You compare candidate locations on who lives nearby, how many people visit, how much competition there is, and what a new store takes from your existing ones. The goal is to decide where before you commit to a lease.
What is a trade area?
A trade area is the area your customers come from. It is based on how people actually travel to you, so it follows roads, barriers and habits rather than a simple circle. Trade area analysis helps you see whether a site draws from enough of the right people.
What is cannibalization in retail?
Cannibalization is when a new store takes sales from your own nearby stores instead of winning new customers. Checking it before you open shows whether a site adds demand or just moves it. It is easy to miss when you only look at one location at a time.
Do I need GIS staff to do site selection?
Not always. A GIS analyst gives you the most control, but turnkey platforms and plain-English AI assistants let teams without GIS staff get answers. Match the tool to the people you have and the question you are asking, not to what sounds most advanced.
Can an AI assistant do retail site selection analysis?
It can handle location questions such as proximity and density when it is connected to real location data, like BigGeo AI. It is not a revenue forecast or a store-fit score. For those, use a dedicated site selection platform.
Where can I buy foot traffic data?
The BigGeo Marketplace lists location data such as foot traffic and points of interest. Browse by industry, use case and geography, and check coverage and sample data before you buy. Other providers sell this data too, so compare coverage for your areas.
Next step
Add BigGeo AI from the ChatGPT or Claude directory and ask your first site question.
