Prospecting
A commercial prospecting platform that starts from the space
General prospecting tools start from a person and hope the space fits. Atlas starts from the vacancy, works out which businesses it suits and why, finds the decision-maker at each, and gives you something specific to open with.
Credits per search, not per seat. Atlas is $200 a month, and a single signed lease pays for years of it.
Why generic prospecting stacks struggle here
Sales prospecting platforms are built for a repeatable buyer: a job title, a company size, an industry code. Commercial leasing is not that shape. The right tenant for a 1,500 sq ft end-cap on one street is wrong for the identical unit two blocks over, because the answer depends on what already trades around it, what the block is missing, and who is expanding in that market this year.
So filters get you a list of businesses, not a list of candidates, and the judgement, the part that takes the week, stays manual. Atlas does that judgement as the search, rather than after it. The comparison of tenant search tools is an honest account of where a marketplace, a data platform or a generic stack still wins.
What a prospecting run looks like
You describe the unit once, or drop the brochure PDF and let Atlas read it. Then one search buys a full run across the market, and what comes back is a ranked set of businesses with the reason each was surfaced written out: the operator visibly outgrowing its current unit, the category the block does not have, the brand that has announced expansion here, the highly-rated independent nobody has approached.
Then the part that decides whether prospecting works at all: who to actually contact. Atlas finds the owner, the franchisee or the head of real estate behind each business and verifies the email before handing it over. Its credits are refunded automatically when no reachable person exists, so you are never charged for a dead end.
The pipeline, end to end
Described once, understood properly
Drop a brochure PDF and the form fills itself. Atlas reads the address, the unit, and the streets around it: what trades nearby, what the block is missing, what footfall it carries.
Matched, ranked, and explained
Not a list of every business in the county. The ones that fit this unit, each with the reason it was picked, the size it usually takes, and whether it is expanding.
The decision-maker, with a verified way in
A tenant match is useless without a name. Atlas finds who actually signs at each business, whether that is the owner, the franchisee or the head of real estate, and verifies the email before it hands it over, and the credits come back when nobody reachable exists.
Outreach drafted for you
Coming shortly: the AI assistant writes the first message for each tenant, in your voice, citing the specific reason that business fits this specific unit, which is the thing that actually gets a reply, and tracks the thread to a signed LOI.
Built for brokers as well as landlords
If you run a book of listings, the value is the speed of the first pass: a defensible candidate list per space in minutes, so a pitch can carry names rather than promises. If you own the building, it replaces the wait, because a marketplace listing is passive and every month a unit sits empty is rent that never comes back. What the NAR data says about prospecting is worth reading on where leads actually come from, and the 30-day playbook puts a schedule around it.
Practical detail
- Web app, nothing to install, in English, German and Slovak.
- An AI assistant that knows commercial real estate, so you can ask about a space or a candidate in plain language instead of learning a filter syntax.
- Brochure reading: drop a PDF and the intake form completes itself.
- Credit-based, not per-seat: spend the mix you like, with what each action uses on the credit costs page. Atlas is $200 a month with 10,000 credits, and one signed lease covers it for years.
Prospect the space, not a spreadsheet.
Describe the space once. Atlas reads the address, the streets around it and the businesses in them, and comes back with matched tenants and the person to contact at each.
Run your first search