Map-first property search
Draw-to-search polygons, price overlays, and fast cluster rendering let buyers explore a city the way they actually think about it.
AI-Built Zillow Clone
An AI-first build of the property portal model: listing recommendations that learn from search behavior, lead scoring that routes buyers to agents fast, and valuation intelligence that builds trust. Four synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$4,299

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Real estate portals win on listing freshness and lead speed.
overview
A Zillow-style property portal is a real estate marketplace where buyers and renters search listings on an interactive map, evaluate them with price history, tax records, and mortgage calculators, and convert interest into tours and agent conversations. Agents and agencies manage inventory and receive routed leads from the same system. The listing is the inventory; the lead is the revenue.
The purpose for an operator is to own the top of the property funnel in a chosen market. Property decisions start with search, and whoever runs the search captures the advertising, subscription, and lead-routing revenue that follows. Portals are also a data business: listing freshness, price history, and market analytics compound in value as the platform grows.
The platform includes a buyer and renter app with map search, saved-search alerts, and affordability tools, an agent panel with listing management, lead inboxes, and performance analytics, and an admin console handling listing moderation, duplicate detection, feed imports, agent onboarding, lead routing rules, and featured-placement sales.
Property search has moved decisively online according to widely published industry analyses, and most markets still lack a dominant local portal outside a few global players. A code-owned platform lets a brokerage, developer, or media group capture that search behavior and monetize it directly.
The platform-level capabilities above the role panels, built around search and lead flow.
Draw-to-search polygons, price overlays, and fast cluster rendering let buyers explore a city the way they actually think about it.
Amortization, tax, and insurance math with regional rates, embedded in listings and as external lead-capture widgets.
Per-listing history panels that build buyer trust and give agents a factual conversation starter.
Buyers get notified the moment new matches post, because freshness decides which portal they stay loyal to.
Inquiries distribute by geography, price band, or round-robin, with response-time tracking that keeps agents accountable.
Interest converts to booked viewings inside the app, with the inquiry history attached to the lead.
Structured data keeps listings comparable, and duplicate detection plus feed imports keep inventory clean at scale.
Top-of-search and featured listings sold per listing or per month, billed through the platform.
What these buyers share: listings or market access already in hand, and the intent to own the search experience where property decisions start.
A portal converts their listings into a market-defining consumer brand and a lead engine they control.
Targeting markets without a dominant portal, because search behavior is the moat and it is cheapest to build first.
Marketing their own and partners' inventory with the data transparency modern buyers expect.
Needing a consumer-grade search layer over managed stock, with leads routing to their own leasing teams.
Deploying real estate portals across regions, with lead rules and plan structures configured per market.
Buyers, agents, and platform ops each need dedicated tooling. All three surfaces sync to one backend.
Search, shortlist, and act on properties before they go stale.
Agents manage inventory and convert leads inside one workspace.
Operate listings, agents, and monetization.
Four consoles, one view of the portal's inventory, lead flow, and revenue.
Listing moderation and verification, MLS-style feed imports with duplicate and staleness detection, report-and-takedown queues, and listing-performance analytics, because a portal that shows stale homes loses buyers permanently.
Lead-routing rule administration with response-time tracking, tour-request oversight, agent and agency onboarding, and conversion analytics per routing rule, so the perishable inventory of inquiries is spent deliberately.
Subscription plan definitions with listing quotas, featured-placement sales and pricing, lead-routing fee terms with partner connections, and display-ad inventory management, each reported separately.
Market-level analytics on price bands, engagement, and inventory turnover, valuation-model drift review, user management with staff roles, and moderation-integrity reporting.
The product journey, end to end.
The buyer draws a polygon, filters by price, beds, and type, and browses clusters, price overlays, and photo galleries at city scale.
Price history, tax records, and neighborhood panels sit beside each listing, and saved searches push alerts the moment new matches post.
Tour scheduling and agent direct messaging convert interest into a booked viewing, with the inquiry routed by your lead rules.
Mortgage and affordability calculators with amortization, tax, and insurance math tell the buyer what they can carry, and high-intent users hand off to connected lenders.
The listing agent works the lead inbox with response-time tracking, because a fast first reply is what wins the buyer.
Agent subscriptions, featured placements, and lead-routing fees bill through the platform while listing freshness stays moderated and duplicate-free.
Five model-driven systems working the same search stream. Each ships pre-tuned for property portals and sharpens as your data compounds.
Ranks the home feed and similar-property carousels per buyer from search and shortlist behavior, so the right homes surface first.
Search queries, saved searches, shortlists, tour requests
Faster shortlisting and more tour requests
Scores each inquiry on urgency and fit so agents call the buyers most likely to tour, and routing sends leads where they convert.
Search frequency, price bands, message content, response times
Leads that convert instead of cooling off
Estimates property values from comparable sales, tax records, and listing history, powering trust panels and prequal tools.
Comparable sales, price history, tax records, listing data
Buyers who trust the numbers enough to inquire
Flags stale, duplicate, and low-quality listings automatically, keeping the inventory buyers see fresh and comparable.
Listing metadata, feed sources, freshness signals
A portal that stays trustworthy at scale
Prices featured placements and agent subscriptions against real impression and lead value, so inventory earns what it is worth.
Impression data, lead conversion, agent plan uptake
Monetization priced from evidence
platform concepts
Every inquiry is a state machine with a clock on it. Posted, routed, contacted, toured, converted: each transition is an event with an actor and a timestamp, and response-time tracking makes slow agents visible, because leads are perishable inventory and a fast first reply is what wins the buyer.
Portal economics run on listings and leads. Agent and agency subscriptions carry listing quotas and lead access, featured placements sell per listing or per month, and lead-routing fees monetize high-intent connections to mortgage, insurance, and moving partners. Every revenue line is admin-configurable and reported separately.
The listing catalog is the trust layer. Moderation queues, duplicate detection, and structured import feeds keep inventory current, because a portal that shows stale homes loses buyers permanently. MLS-style data fields keep listings comparable, and the mortgage calculator runs as a lead engine in its own right. The same foundation extends into CRM and transaction tooling through our real estate app development practice.
Four groups, each mapped to the part of the property-search promise it protects.
Tile-based map search with price overlays and draw-to-search polygons, advanced filters on location, price, size, and amenities, saved searches pushing alerts the moment matches post, and nearby-property geo alerts on mobile.
Price-history tracking, tax records, neighborhood panels, valuation estimates from comparable sales, high-resolution galleries, and 3D or VR tours, so a buyer can judge a property before they ever request a tour.
Tour scheduling with automatic agent notification, direct messaging, lead-intent scoring with rules-based routing and response-time tracking, and agent dashboards with CRM-style conversation management.
Mortgage and affordability calculators with amortization, tax, and insurance math at regional rates, exposed in-app and as embeddable widgets, plus prequalification handoffs to connected lender partners.
insight
The online real estate market is expected to exceed a trillion dollars globally by 2030 according to widely published industry analyses, driven by buyers and sellers standardizing on portal-first search, AI-assisted valuation, and virtual touring. The portal is where the market's highest-value decisions now begin, which is why its monetization attaches to leads rather than transactions.
The wedge for a regional operator is freshness and lead speed: a portal that keeps inventory current and routes inquiries while they are hot wins agents, and agents pay for the audience. Valuation evidence and mortgage tooling convert browsers into inquiries. The revenue table below quantifies the lines.
Agent and agency subscription plans with listing quotas and lead access.
Featured and top-of-search listing placements sold per listing or per month.
Lead routing fees for high-intent buyer connections (mortgage, insurance, movers).
Display advertising for local services around listing pages.
Every revenue line is admin-configurable, so you can tune plans and placement pricing as your agent base grows.
Six monetization lines across the portal, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Agent and agency subscriptions | Monthly plans with listing quotas and lead access | Portal agent plans commonly run $50 to $500+ per month | Lead quality. Agents renew when inquiries arrive hot and tracked | |
| Featured placements | Top-of-search and featured slots sold per listing or per month | Priced per slot or as plan bundles | Search integrity. Placement earns while freshness keeps results comparable | |
| Lead-routing fees | Fees for high-intent connections to mortgage, insurance, and moving partners | Per-lead pricing; mortgage leads commonly $20 to $100+ each | Intent scoring. Routed leads convert, which is what makes the fee defensible | |
| Display advertising | Local-services advertising around listing pages | Media-rate dependent; sold per impression or campaign | Audience quality. Home-hunting attention is exactly what movers and insurers pay to reach | |
| Transaction and referral fees | Referral or success fees where the portal facilitates the transaction | Referral fees commonly 0.25% to 1% where applicable | Jurisdiction. Commission models are a regulatory decision per market | |
| Listing and import services | Fees on bulk listing import and feed maintenance for agencies | Per-feed or per-listing pricing | Inventory quality. Duplicate detection is what keeps the paid feed worth the fee |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete unencrypted codebase transfers to you, with documentation and deployment scripts. No per-order licensing, no vendor lock-in.
Your logo, colors, typography, and store accounts applied across every panel, plus branded customer communications.
App store and Play Console submissions handled end to end, with production monitoring switched on at go live.
Stripe, PayPal, and regional gateways configured, with automated split payouts across platform, sellers, and partners.
Listing recommendations, lead scoring, and valuation intelligence arrive configured for property portals, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized services on AWS or Azure with autoscaling and queue-backed checkout for peak-hour traffic.
Sales dashboards, finance reconciliation views, and CSV exports so your operations team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Maps, listing data, and lead speed are the engineering core.
Server-rendered listing pages for SEO, because property portals win organic search or they win nothing.
Tile-based map search with price overlays, draw-to-search polygons, and fast cluster rendering at city scale.
Amortization, tax, and insurance math with configurable regional rates, exposed both in-app and as embeddable widgets.
Rules-based distribution of buyer inquiries to agents with response-time tracking, because stale leads are wasted spend.
AWS or Azure with autoscaling and CDN-backed imagery, tuned for map-heavy traffic and feed imports.
Listing feeds and MLS-style data sources, lender and insurance partners, CRM exports, and mapping providers ship as configured integrations, so the portal plugs into the tools your market already runs on.
Role-based access, append-only audit logs, encrypted traffic and secrets, and rate-limited endpoints come standard, so compliance questions have answers before they are asked.
Day by day for the almost-ready AI build. Store review can add a short buffer outside our control, and custom builds take 3 to 4 weeks.
Markets, listing sources, and agent plan structure locked with a written scope, and your identity applied across buyer, agent, and admin surfaces.
Maps, payments, lead-routing rules, and regional tax and rate tables configured and tested.
Listings imported and agents onboarded with moderation queues armed, then pilot flows run end to end: search, tour booking, lead routing, calculator, and featured placement.
App store and Play Console submissions with review buffers accounted for, production monitoring switched on, and full launch with post-launch support and product updates included.
Both tracks ship the same search and lead core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Recommendations, ranking, and personalization pre-tuned for marketplace commerce | AI services designed around your workflows and data |
| Data and feeds | Feed imports and rate tables pre-configured | Any MLS connector or valuation model engineered to spec |
| Branding | White-label: your name, colors, and store accounts | Built to your product spec end to end |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowBook a walkthrough and we will demo map search, lead routing, and the agent panel on a live build, then send the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven feature set. MLS feed connectors or custom valuation models add scoped estimate work.
Lead rules, plan structures, and rate tables are configured per market. Adding markets means more configuration, never a rebuild.
Listing feeds, lender partners, and mapping providers are wired during the build, and each integration is estimated individually.
Out of the box, recommendations, lead scoring, and valuations are pre-tuned for property portals. Training models on your historical lead and sales data is an optional, separately scoped workstream.
Extend the Zillow-style build once the core search-to-lead loop is running.
3D walkthroughs, VR tour support, and AR staging views embedded in listing pages, so out-of-town buyers shortlist with confidence and agents book higher-intent tours.
Appreciation projections and rental-income estimates per listing, built on the valuation engine, turning browse sessions into investment analysis and more saved searches.
Guidance for buyers making offers, drawing on comparable sales and listing history, positioned as decision support with the agent still leading the transaction.
Offer forms, disclosure packets, and tour agreements generated, routed for signature, and archived per listing, so the paperwork trail lives in the portal instead of email.
A partner directory for mortgage, insurance, inspection, and moving services with lead-routing fees attached, monetizing the moments around the transaction.
Deploy the portal for regional agencies or franchise networks under their own brands, with per-tenant plan and fee configuration.
Portals win on freshness and lead speed. Both are engineering problems here.
Moderation queues, duplicate detection, and feed imports are core product logic, because stale inventory loses buyers permanently.
Routing rules and response-time tracking are built in, because agents pay for leads that get answered.
One hundred percent of the source code transfers to you. No per-lead royalties, no black-box dependencies.
Property search is proven online, and teams often extend it with our real estate app development and real estate software development tracks for CRM and transaction tooling.
A sample of platforms our system has shipped, with the numbers they report in production.
A global brand-content platform our team ships and operates, carrying campaign video to worldwide audiences at broadcast scale.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A streaming platform our team ships and operates, engineered so premiere-night surges never dent the viewing experience.
Tap a card to see how the portal defends its numbers.
Listings carry source timestamps and staleness rules, and automated detection flags or expires inventory that no longer reflects reality, because a portal that shows sold homes loses buyers permanently.
Every inquiry is timestamped at post, route, and first response, with response-time tracking making slow agents visible. Lead routing is server-enforced, so no panel edit can quietly redirect an inquiry outside the rules.
Feed imports run duplicate detection on structured fields before inventory posts, and the moderation queue adjudicates what automation cannot. Clean catalogs keep comparisons honest and placements worth paying for.
Featured placements, subscriptions, and lead fees are recorded as immutable events with the configuration version that priced them, so any agent's bill reconciles line by line.
Estimates display comparable sales and listing history behind the number, and model drift is reviewed in admin analytics. A portal's numbers earn trust only while they stay explainable.
Lead-credit disputes, placement complaints, and takedown appeals replay against the event log with actor and timestamp, so resolutions cite what actually happened.
the process
The engagement starts with a discovery call on markets, listing sources, and agent plan structure, and produces a written quote and dated plan. On the almost-ready path your brand is applied across web and apps, maps and payments are connected, and listing import is configured before the portal goes live inside the 6 to 9 day window. Custom work, such as MLS feed connectors or valuation models, is scoped per sprint.
After launch you have included support and product updates. A realistic first 90 days: loading and moderating inventory and onboarding agents in weeks one to four, tuning lead routing, featured pricing, and plan structures against real inquiry data in weeks five to eight, and by week twelve reviewing conversion from search to tour to decide whether your next investment goes to more listings or more monetization.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
Login: [email protected] | demo123456 or [email protected] | demo123456
Login: [email protected] | demo123456 or [email protected] | demo123456
$ moxace launch --nowBook a free scoping call: written plan, fixed quote, and a launch date inside the 6 to 9 day window.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Zillow.
The phrase “Zillow clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the Zillow website, applications, or brand assets.
Zillow and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.