ListingRocket
AI-powered real estate marketing in under 60 seconds
“Two million agents spend $1,200 a year on marketing that takes weeks — this does it in sixty seconds.”
Over two million real estate agents spend an average of $1,200 a year on marketing — and most of that money buys mediocre listing descriptions and a handful of social posts. I built a platform that generates everything an agent needs to market a property, from copy to microsite, in less than a minute.
The Problem
What needed solving
Real estate marketing is stuck in an expensive, slow loop. Agencies charge $500 to $2,000 per listing for a description, a few photos, and maybe some social media posts. For the average agent juggling 15-20 listings a year, that adds up fast — and the output rarely matches the investment. Generic copy, recycled templates, and a two-week turnaround that doesn't keep up with how quickly properties move.
The 2M+ agents in North America face a painful choice: spend thousands on marketing agencies, spend hours doing it themselves, or skip marketing altogether and hope the MLS listing does the heavy lifting. None of these options are good. The agents who thrive are the ones who market aggressively and consistently — but the tools to do that affordably simply haven't existed.
The Solution
How I approached it
ListingRocket automates the entire listing marketing pipeline. Upload photos and property details, and the platform generates professional descriptions in four different tones, ten ready-to-post social media captions, and a complete property microsite — all in under 60 seconds. No agency. No templates. No waiting.
The platform is built for volume. An agent can process their entire portfolio in an afternoon, producing consistent, high-quality marketing materials that would have cost thousands through traditional channels. Pricing starts at $29/month — roughly 2% of what agents currently spend annually on marketing services. The $49 and $149 tiers unlock team features and higher volume for brokerages.
How It Works
Under the hood
When an agent submits a listing, ListingRocket's pipeline activates. Property photos go through Cloudinary for optimization and CDN delivery. The listing details feed into a dual-AI architecture — Gemini handles the creative writing (descriptions across four tones: professional, luxury, casual, and storytelling), while Groq powers the rapid-fire social post generation.
BullMQ manages the job queue, ensuring that even under heavy load, every listing processes reliably. Each job produces a complete marketing package: four description variants, ten social posts tailored for different platforms, and a hosted microsite with the property's photos, details, and contact information. The entire pipeline from upload to deliverables completes in under 60 seconds.
The backend runs on Express.js with PostgreSQL for persistent storage and Redis for caching and queue management. The React frontend gives agents a clean dashboard to manage listings, preview content, and publish directly to their channels.
Impact
Results and outcomes
ListingRocket targets a Year 1 goal of 200 active users generating $9,800 in monthly recurring revenue. At $29-$149/month, the platform delivers marketing output that would cost $500-$2,000 per listing through traditional agencies — a 90%+ cost reduction for agents.
The speed advantage is equally significant. What takes agencies days or weeks, ListingRocket delivers in under a minute. For agents managing multiple listings simultaneously, that time savings compounds into a genuine competitive edge.