A real estate agent in Dallas lists 3-4 properties per month. For each listing, she spends 30-45 minutes writing the MLS description: highlighting features, crafting compelling copy, making sure she mentions the granite countertops, the updated HVAC, and the walk-in closets. After 6 years, she's written over 200 of these descriptions and they're starting to all sound the same.
The US has 1.5+ million active real estate agents. Each listing needs a compelling description for MLS, Zillow, Realtor.com, and social media. Studies show well-written listings get 30% more inquiries. But agents aren't copywriters — they're salespeople and negotiators. The cognitive load of writing unique, SEO-optimized descriptions for every listing is a hidden time sink.
General AI copywriting tools like Jasper ($39-99/mo) exist but don't know real estate conventions or MLS requirements. ChatGPT works but requires careful prompting and editing. The gap is a specialized tool at $19-39/mo that generates MLS-compliant property descriptions: input property features (beds, baths, square footage, key amenities), select neighborhood and style, and get multiple description variations optimized for different platforms. Include SEO keywords for Zillow/Google, social media snippets for Instagram, and even headline variations. Niche down hard — real estate only.
💰 Revenue Blueprint
Three-tier value ladder to monetize from day one
3 descriptions/mo, basic features only
25 descriptions/mo, multiple variations, social media snippets, SEO keywords
Unlimited descriptions, brand voice training, team accounts, MLS integration, neighborhood insights
📊 Market Evidence
The Market Gap
General AI tools don't know MLS conventions or real estate terminology. ChatGPT requires careful prompting. No real estate-specific AI description generator at $19-39/mo with MLS compliance, SEO optimization, and multi-platform output.
🏆 Competitor Landscape
How existing players stack up in this market
| Competitor | Pricing | Notes |
|---|---|---|
| Jasper | $39-99/mo | General AI copywriting |
| Copy.ai | Free / $49/mo | AI copywriting platform |
| Writesonic | Free / $20-99/mo | AI writing + templates |
| Listing Descriptions AI | Various tools | Real estate specific tools emerging |
| ChatGPT | Free / $20/mo | General AI, custom prompts |
General AI copywriting
AI copywriting platform
AI writing + templates
Real estate specific tools emerging
General AI, custom prompts
🛠️ Recommended Tech Stack
Suggested tools and technologies to build this idea
Why this stack: Simple SaaS wrapper around GPT-4 with domain-specific prompts, templates, and compliance checking. Focus on ease of use for non-technical agents.
Score Breakdown
Good market signals with room for growth
Market (20%) + Revenue (20%) + Trend (15%) + Competition (15%) + Build (15%) + Pricing (15%)
🚀 Start Building
Copy a prompt into your favorite AI coding tool and start building this idea right now.
Build a SaaS product called "AI Property Description Generator". ## Product Overview High-quality listing copy for each property ## Problem High-quality listing copy for each property ## Solution Build AI Property Description Generator ## Target Audience indie hackers, small businesses, and solopreneurs ## Tech Stack - Next.js 15 (App Router) with TypeScript - Tailwind CSS v4 for styling - Supabase for auth, database, and storage - Vercel for deployment - shadcn/ui for UI components - Framer Motion for animations ## MVP Features to Build 1. Landing page with clear value proposition 2. User authentication (sign up, sign in, forgot password) 3. Core product functionality based on the solution above 4. Dashboard for users to manage their data 5. Pricing page with at least 2 tiers (free + paid) 6. Basic settings/profile page ## Known Competitors Jasper, Copy.ai, Writesonic, Listing Descriptions AI, ChatGPT ## Key Risks to Address Standard market entry risks ## Deployment 1. Set up Supabase project and configure environment variables 2. Deploy to Vercel with `npx vercel --prod` 3. Set up custom domain 4. Configure Supabase RLS policies for security ## Instructions Start by creating the project structure, then build the landing page first. Use server components where possible. Make it mobile-responsive from the start. Focus on getting the core value loop working before adding polish.