Asaasin Logo
Asaasin
← All industries

Real Estate Agencies · AI Automation

Qualify Zillow Leads, Draft MLS Listings, and Track Offers Without Another Coordinator Hire

Your team is closing deals in spite of the tooling, not because of it. Buyer leads land in a shared inbox from Zillow, Realtor.com, and the brokerage site, then get triaged by whoever sees them first. Listing descriptions get rewritten from a blank page for every property. Offer threads, counter terms, and inspection contingencies live in the listing agent's head and a few Slack DMs. Asaasin's Build Pod automates the parts of this that don't need a licensed agent's judgment, custom to how your brokerage actually runs — your CRM, your MLS, your contract templates, your team's voice.

What we build for Real Estate Agencies

  • Structured intake and qualification for Zillow, Realtor.com, and site leads

    Pull every inbound lead into one queue with budget, timeline, financing status, and area of interest already extracted from the email or form. Auto-routes to the right agent based on your splits and assigns a follow-up cadence.

  • First-draft MLS and portal listing copy from your photos and property data

    Generate compliant listing descriptions, social captions, and email blast copy from the property record, comps, and uploaded photos. Tuned to your brokerage's voice and the Fair Housing language your compliance lead actually approves.

  • Offer tracking and contract milestone reminders out of agents' heads

    Parse incoming offers and counters into a structured deal record with price, contingencies, EMD, and key dates. Pings the agent before inspection deadlines, financing contingencies, and closing dates so nothing falls through.

How a Build Pod fits

A Build Pod is a small dedicated AI engineering team your brokerage subscribes to monthly. We start with a scoping week walking through how your top-producing agents actually work — which CRM you run (Follow Up Boss, kvCORE, Sierra, BoomTown), how leads get split, what your listing checklist looks like, where offers get tracked today. Then we build, against your stack and your contract templates, not a generic SaaS shell.

From there it's a steady cadence of shipping. The Pod owns the roadmap with your broker-owner or ops lead — automating one workflow at a time, wiring it into the tools agents already open every day, and iterating based on what the team actually uses. No project SOWs, no procurement cycle for every new request. When the MLS rules change or you switch CRMs, the Pod adapts the tooling instead of you re-scoping a project.

Frequently asked questions

What can AI do for real estate agents?
In a brokerage, the highest-leverage uses are structured lead qualification from portal and email inquiries, first-draft listing and marketing copy from property data, and offer or contract milestone tracking so deadlines don't slip. We build these against your CRM and MLS, not as a generic chatbot.
How do you handle Fair Housing and MLS compliance in generated listing copy?
Every draft is constrained by a brokerage-specific style and compliance prompt your broker signs off on, and the Pod adds rule checks for prohibited Fair Housing language and MLS field limits. A human agent always approves before anything publishes.
Will this work with our CRM and MLS, or do we have to switch?
We build around what you run today — Follow Up Boss, kvCORE, Sierra Interactive, BoomTown, Lofty, or a custom stack — and pull MLS data through your existing IDX or RETS/RESO feed. Switching tools is never a prerequisite to start.
How long before the team sees something they'd actually use?
First working tool is usually live for a small group of agents inside the first three weeks, then we iterate based on what they touch and what they ignore. The Pod keeps shipping for as long as you subscribe.

Ready to ship AI for real estate agencies?

A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.

Talk to a Build Pod