The average commercial real estate broker in 2026 has a more complex software stack than they did five years ago. CoStar, some kind of CRM, email, maybe a LoopNet listing subscription, a document management tool, and now some flavor of AI product that may or may not be earning its place. The question isn't whether to use software — it's whether what you're using is actually making you more effective or just adding overhead.
This is an attempt to sort that out.
The categories that matter
Market data. CoStar and LoopNet are the standard. For retail specifically, CoStar's market data is valuable for comp research, though the depth varies significantly by market. For NYC retail leasing, ACRIS (the city's deed recording database) is the most important public data source — it tells you who owns what, when they bought it, for how much, and what mortgages are on it. Most brokers who work NYC retail know ACRIS well. Fewer have built a systematic workflow around it.
CRM and pipeline. The category with the most options and the most noise. The short version: tools built for software sales (Salesforce, HubSpot, Pipedrive) require significant customization to work for CRE and still don't have a native property data model. Tools built for CRE (Rethink, Buildout, Station CRM) start from the right structure. For retail leasing specifically, the distinction between a CRM that tracks deals and one that surfaces deals is significant — see why most CRMs fail commercial real estate brokers.
Communication. Gmail or Outlook, full stop. The integration layer matters — whether your email threads get logged against the right contact and deal record automatically. HubSpot does this reasonably well. Station CRM's Gmail integration pulls email context into the pipeline automatically.
Document management. Dropbox or Google Drive for most teams. Buildout handles listing and offering memorandum generation. For NDAs and data rooms on larger deals, DocuSign and dedicated deal room software add structure — but most retail leasing deals don't require it.
AI tools. This is where things have changed most meaningfully in the last two years. The brokers who've integrated AI into their daily workflow are spending less time on research, drafting, and morning prep. The ones who haven't are spending the same amount of time they always have.
What AI actually does for CRE brokers
The useful AI applications for a retail leasing broker fall into a few categories.
Research and prep. Before a landlord call, pulling together what you know about the ownership, what their other properties look like, and any recent news takes ten minutes manually and 90 seconds with a good AI tool. That's time compounding across dozens of calls per week.
Drafting. Outreach emails, LOI summaries, post-meeting notes. The first draft is the hardest part. AI handles the first draft.
Market summarization. Turning a stack of Crain's and Commercial Observer headlines into a structured briefing on what happened in the market last week. Station CRM's AI Chief of Staff does this automatically every morning.
Lead intelligence. Not generic AI, but AI that's specifically trained on your market and pipeline. Knowing that the seller in a recent ACRIS filing is likely a 1031 exchange buyer, who the principal of the LLC is, and what replacement properties they might be looking for — that's the kind of work that used to take an hour and now takes a few minutes.
What's not worth having
Multiple CRMs. Some brokers end up on HubSpot for contacts and something else for deals. The overhead of two contact databases is real and the information goes stale in both.
Listing platforms beyond CoStar/LoopNet. The alternatives (Crexi, 42Floors, etc.) get enough traffic in some markets to be worth the time. For most NYC retail brokers they add maintenance without proportional deal flow.
Generic AI subscriptions you're not using. A ChatGPT subscription you open twice a week is $20/month of overhead. The question is whether AI is integrated into your actual daily workflow or whether you're paying for optionality.
The right stack for a NYC retail leasing broker
The lean version: CoStar/LoopNet for market data, Station CRM for pipeline and market intelligence, Gmail with CRM integration for communication. That's three tools that each earn their place.
The fuller version adds AI-assisted research (Station's Chief of Staff covers most of this), a document tool for listing marketing materials (Buildout if you do high listing volume), and whatever you currently use for email that's working.
The thing to optimize for isn't adding more capabilities. It's removing the tools that require maintenance without producing deal flow — and making sure the ones you keep are actually connected to each other.
See Station CRM's full feature list or request a demo to see how it fits into your existing stack.