Monitor mls for new listings matching buyer criteria and send personalized alerts
This solution replaces manual property searches with an autonomous system that instantly matches new listings to buyer preferences and sends highly personalized alerts. It gives brokerages a massive competitive advantage by ensuring their buyers are the first to see and bid on hot new properties.
The problem today
15 hours
wasted weekly manually checking MLS feeds
$10K+
lost commission when a buyer misses a property
80%
of generic template property alerts ignored
Marcus Delgado is the owner-broker of a 12-agent residential brokerage in Scottsdale, Arizona. He watches his best agents lose motivated buyers to Redfin's automated alerts and spends more time than he'd like to admit wondering which clients quietly moved on without telling anyone.
01The Problem
Prime prospecting hours burn on manual MLS scans while faster competitors are already booking showings.
Buyers open Redfin accounts and go silent — Marcus only learns the relationship ended after it's already over.
Hot Scottsdale listings go under contract within hours; a next-morning alert arrives after the loss, not before it.
Criteria scattered across sticky notes and spreadsheets guarantee at least one motivated buyer gets skipped every manual pass.
Every manual cross-reference is time taken from showings and negotiations — the work that actually closes deals.
One phrase implying demographic neighborhood preference in a hand-written alert is enough to trigger a Fair Housing complaint and license review.
02The Solution
Solution Brief
Fictional portrayal · illustrative
- 12-agent Scottsdale brokerage; agents carry 20–40 active buyers each
- First 90 minutes daily consumed by manual MLS scans and one-by-one alerts
- Buyer criteria scattered across sticky notes, spreadsheets, half-remembered calls
- Buyers who expected first notice find out they were last — and leave quietly
- Missed buyers rarely return; lost deals invisible until the pipeline runs dry
- Manual alerts carry Fair Housing risk every time an agent writes neighborhood copy
- Redfin's automated speed wins clients Marcus's agents already earned
- Agent monitors MLS continuously — 7am, 11pm, 6am Saturday, no exceptions
- Each alert references buyer's price ceiling, must-haves, and school district preference
- Buyers respond, schedule showings, credit their agent — retention holds
- Single VPS instance scales across multiple brokerage clients after first rollout
- Agents who see buyer response rates don't cancel — sticky ARR by design
“I had a buyer lose a house last spring because my agent sent the alert at noon and it hit the MLS at 7am. That buyer is with a different brokerage now. I can't have that happen again with 40 active clients in the pipeline.”
— Marcus Delgado is the owner-broker of a 12-agent residential brokerage in Scottsdale, Arizona
03What the AI Actually Does
Continuous MLS Watcher
Polls the MLS every 5-15 minutes around the clock, catching new listings the moment they go live — not hours later when an agent happens to log in. No listing slips through on evenings, weekends, or holidays.
Buyer Criteria Matching Engine
Compares every new listing against each active buyer's stored profile — price range, location, bedroom count, square footage, property type, and dozens of other filters — instantly identifying which buyers should be notified and which ones shouldn't be bothered.
Personalized Alert Writer
Uses an AI language model to craft each notification in natural, conversational language that references the specific buyer's needs, preferences, and past interactions — so the message feels like it came from their agent, not a mass-email system.
Compliant Multi-Channel Dispatcher
Sends alerts via email and SMS through enterprise delivery platforms, with built-in guardrails to keep every message compliant with Fair Housing Act, TCPA, and CAN-SPAM regulations — protecting the brokerage from the legal exposure that comes with manual, unreviewed outreach.
04Technology Stack
n8n (Self-Hosted)
$0/month (self-hosted) / $150–250/month suggested managed service fee to client
Core workflow automation and AI agent orchestration platform. Provides visual workflow builder with 422+ integrations, HTTP request nodes for MLS API …
SimplyRETS
$49–99/month + $99 one-time connection fee per MLS / $99–150/month suggested resale
MLS data access API providing standardized RESO-compliant listing data via REST endpoints. Supports both RETS and RESO Web API feeds. Returns JSON-for…
OpenAI API (GPT-5.4 mini)
$2–10/month at 500 alerts/day / $25–50/month suggested resale
Large language model API used to generate personalized alert messages for each buyer-listing match. GPT-5.4 mini at $0.15/1M input tokens and $0.60/1M…
Twilio SendGrid
$0–19.95/month (Free tier: 100 emails/day; Essentials: $19.95/month for 50K emails) / $30–50/month suggested resale
Transactional email delivery API for sending personalized HTML listing alert emails. Provides delivery analytics, bounce management, DKIM/SPF authenti…
Twilio Programmable SMS
~$0.0079–0.0083/message + carrier fees (~$15–40/month for 2,000–5,000 messages) / $50–100/month flat suggested resale
SMS notification delivery for time-sensitive listing alerts. Requires A2P 10DLC registration ($44 one-time brand registration + $15 one-time campaign …
PostgreSQL
$0/month
Primary database for storing buyer profiles, search criteria, listing cache, alert history, delivery tracking, and consent records. Runs in Docker alo…
Docker & Docker Compose
$0/month
Container runtime for deploying and managing n8n, PostgreSQL, and Nginx as isolated, reproducible services. Simplifies updates, backups, and multi-cli…
Nginx
$0/month
Reverse proxy and TLS termination for n8n web interface and webhook endpoints. Handles SSL certificates from Let's Encrypt for secure API callbacks.
Let's Encrypt (Certbot)
$0/month
Automated SSL/TLS certificate provisioning for the n8n domain. Required for secure webhook endpoints and HTTPS access to the n8n admin interface.
Follow Up Boss (CRM — Client-Paid)
$69/month/user (Grow) to $499/month for 10 users (Pro) — paid by client directly
Primary CRM integration point for syncing buyer profiles and search criteria into the agent system. The API provides webhooks for new contact creation…
05Alternative Approaches
Turnkey Platform: Ylopo with Raiya AI
$295–$795+/month
Deploy Ylopo's platform which includes built-in MLS listing alerts, AI-powered lead nurturing via their 'Raiya' AI texting assistant, IDX website, and CRM integration. The MSP would configure and manage the Ylopo subscription rather than building custom workflows.
Strengths
- Very low complexity — 1–2 weeks setup vs. 6–10 weeks custom
- Fastest time to market
- Good fit for clients with budget for premium tools
Tradeoffs
- Cost of $295–$795+/month significantly higher than custom build's ~$60–135 MSP cost
- Less customizable matching criteria
- Limited control over AI message content
- No ability to white-label or differentiate
- Lower MSP margin — reselling SaaS at ~20% markup vs. 5–7x on custom infrastructure
Best for: Client wants fastest time to market, has budget for premium tools, and doesn't need highly customized matching logic. Not recommended when client wants unique buyer matching criteria, branded experience, or the MSP wants to build a scalable practice serving multiple brokerages.
n8n Cloud Instead of Self-Hosted
$50/month (n8n Cloud Pro)
Use n8n's managed cloud service ($50/month Pro plan for 10,000 workflow executions) instead of self-hosting n8n on a VPS. Eliminates the need for Docker, VPS management, and Nginx configuration. The MSP still builds all the same workflows but doesn't manage the n8n infrastructure.
Strengths
- Significantly lower complexity — no Docker, no Nginx, no SSL management, no server updates
- Saves 2–4 hours/month of server maintenance
- Same workflow capabilities as self-hosted
Tradeoffs
- $50/month for n8n Cloud vs. ~$8/month for Hetzner VPS
- Execution limits apply — 10K executions/month on Pro may be tight for busy markets polling every 10 minutes
- MSP loses ability to serve multiple clients on one instance; each client needs their own n8n Cloud subscription
Best for: MSP has limited Linux/Docker expertise, single-client deployment, or client is willing to pay the premium for managed infrastructure. Not recommended when MSP plans to serve multiple brokerage clients or execution volumes will exceed 10K/month.
CrewAI Multi-Agent Python Framework
~$8/month VPS (higher implementation labor cost)
Build the solution as a Python application using CrewAI's multi-agent framework instead of n8n. Define specialized agents (MLS Monitor Agent, Buyer Matcher Agent, Personalization Agent, Notification Agent) that collaborate to process listings. Deploy as a Python service on the VPS with systemd or Docker.
Strengths
- Much more flexible — can implement sophisticated ML-based matching (e.g., learning from buyer click behavior)
- Complex multi-step reasoning and custom agent behaviors
- Same infrastructure costs (~$8/month VPS)
Tradeoffs
- Significantly higher implementation cost — 80–120 developer hours vs. 40–80 for n8n
- Requires strong Python development skills
- No visual workflow editor
- Harder to debug and modify
Best for: MSP has Python developers on staff, client needs advanced AI features like predictive matching or natural language search criteria parsing, or the project will evolve into a more sophisticated product. Not recommended when MSP primarily employs IT generalists or rapid iteration on workflows is needed.
Hybrid: kvCORE/Follow Up Boss Built-in Alerts + Custom AI Personalization Layer
~$30–50/month (VPS + OpenAI only)
Use the client's existing CRM platform (kvCORE or Follow Up Boss) for basic MLS listing alerts (which they already support natively), but add a custom AI layer on top that intercepts the alert data and personalizes the messages before delivery. Enhances an existing system rather than replacing it.
Strengths
- Lower implementation cost ($3,000–$5,000) since MLS polling and basic matching are handled by the CRM
- Monthly cost is just the AI personalization layer (~$30–50/month for VPS + OpenAI)
- Good 'land and expand' strategy — start with personalization layer, then migrate to full custom system later
Tradeoffs
- Limited by the CRM's native matching capabilities — may not support advanced criteria like lot size, year built, or feature-based matching
- Personalization adds value but underlying matching is less sophisticated
- Requires intercepting the CRM's alert pipeline via webhooks or email forwarding
Best for: Client already pays for kvCORE or FUB and is happy with basic alert matching but wants better message quality. Not recommended when client needs advanced matching criteria beyond what the CRM supports, or wants a system independent of their CRM choice.
Trestle (CoreLogic) Instead of SimplyRETS for MLS Data
~$75/month per MLS data feed
Use Trestle (formerly CoreLogic Trestle) as the MLS data provider instead of SimplyRETS. Trestle is the largest MLS data aggregation platform, connecting to more MLS boards than any other single provider.
Strengths
- Better MLS coverage, especially for clients operating across multiple MLS territories
- More comprehensive data fields
- Stronger enterprise support
- Supports more MLS boards than SimplyRETS
Tradeoffs
- ~$75/month per MLS data feed vs. SimplyRETS $49–99
- Slightly higher complexity — uses OAuth2 authentication and has a more complex API structure
Best for: Client's local MLS is on the Trestle network but not available through SimplyRETS, client operates in multiple MLS markets, or enterprise-grade data SLAs are needed. Not recommended when SimplyRETS covers the client's MLS board or budget is extremely tight.
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