Frequently asked questions
What Workbench is, what you can ask it, and where the answers come from. If yours is not here, ask us.
What is Workbench?
Workbench is an AI assistant that knows everything about your asset. Connect your footfall data, turnover, Google reviews, competitor intelligence, spend patterns, and more, then ask questions in plain language and get answers, not dashboards. Think of it as an analyst who has read every data source about your property and is available instantly.
What can I actually ask it?
Leasing teams ask things like: which food and beverage brands are trending in our catchment but not yet in our mix? Marketing teams ask: how did my Christmas activation campaign perform? Asset managers ask: which of our tenants has the lowest sentiment score relative to its category average, and why? Ask it the way you would ask a colleague who had read every data source at once.
Can I see which brands would fit my centre before approaching them?
Yes. You give us your location and we analyse the catchment audience, current tenant mix, and category gaps, then rank prospective brands by fit score. Each recommendation includes the brand's social momentum, recent store openings, and whether their audience pricing aligns with your visitors' spending patterns.
How is this different from other location intelligence providers?
Most providers give you footfall counts and demographic tables. Workbench gives you the answer layer on top: it connects all your data sources, identifies what is driving a change, and tells you what to do about it. Different question, different product.
Can I monitor how a competitor is performing without visiting them?
Yes. Point Workbench at any competing centre and it reads every public review, tracks their tenant mix changes, and surfaces what their customers say, all without any manual research on your end.
How do I justify the cost to my team or board?
The most common ROI case is leasing: one well-matched tenant placement, or one avoided mistake, typically covers the annual cost. We can model the time saved versus manual research and share case study data from active clients.
Where does the data come from?
We aggregate public review data (Google, TripAdvisor), social media signals, brand tracking, location intelligence, and trend data, and you can connect your own footfall, turnover, and spend data. We layer AI analysis on top to turn it into answers rather than spreadsheets.
Can the outputs be shared with clients or landlords?
Yes, that is by design. Every report is formatted to stand alone. You can forward a tenant fit analysis directly to a landlord or brand without needing to walk them through it. No platform access required on their end.
Does it work across multiple centres or just one?
Both. You can run analysis on a single asset or query across your entire portfolio, for example flagging every centre in your network where footfall is below the category benchmark this month.