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Multi-location Real Estate
Real EstateMulti-agentSubdomain architecture

房地產經紀公司網站開發

在 Placester、Real Geeks 或 IDX Broker 上運營 50-500 名經紀人的經紀公司遇到瓶頸。我們在 Next.js + Supabase 上構建代理子域名平台，通過 Core Web Vitals，實現本地排名，讓經紀人無需破壞經紀公司品牌即可自行更新頁面。

500+
Agents per platform
Proven scale
100/100
Lighthouse target
Beats Placester by 40%
40-70%
Faster LCP
vs template-IDX
$80K+
Fixed-fee platforms
50-150 agents
What is a brokerage website platform?

So here's what we're actually talking about when we say "real estate brokerage website platform" -- it's the technical system holding together your main brokerage site, every agent's sub-site, the MLS/IDX listing search, the lead-capture flow, and the editor experience that lets your brokerage team and each individual agent edit their own slice without nuking everything else. That's a lot of moving parts. At 50+ agents, you're facing a real fork in the road. You can go with a locked-in SaaS product -- Placester, Real Geeks, Sierra Interactive, BoomTown -- or you can build something custom on Next.js and Supabase with a proper IDX feed. Honestly, both paths make sense at different stages. SaaS gets you live in weeks. But it'll fight you every time you try to grow past the template. Here's the thing about custom builds: they're slower to launch -- sometimes by two or three months -- but they compound value in a way SaaS never will. Your SEO builds on your own domain. Your design isn't shared with 4,000 other brokerages. Your agents stay because the tools actually work. For brokerages past 100 agents, or anyone with serious brand requirements, custom wins on total cost of ownership, page performance, and -- this one surprises people -- agent retention. Agents notice when their site loads fast and looks good. They stay longer.

專案失敗的原因

Look, Placester and Real Geeks aren't evil -- they're just built for speed-to-launch, not long-term performance And that tradeoff shows up in your Lighthouse scores. We're talking scores in the 40s. Pretty consistently. And slow pages don't just frustrate buyers -- they tank your local pack rankings. Competitors with faster sites are outranking your listings on searches for your own listing addresses. That's the part that should sting.
This is a genuinely unsolvable problem inside most SaaS platforms Either the platform locks everything down tight -- which looks great for brand consistency, but agents get frustrated and go build their own Wix sites -- or it opens everything up and you've got 87 different fonts and neon color schemes across your agent pages. Neither one scales past 50 agents without becoming a full-time brand enforcement job.
The IDX iframe situation is, honestly, one of the dirtiest secrets in real estate web development That search widget? It's not part of your site. Search engines see an iframe from a third-party domain and they don't credit any of that listing content to you. So you end up ranking for your brokerage name and almost nothing else. All those listings, all that content -- it's building authority for someone else's domain.
Agent churn is relentless in this industry And without the right tooling, every departure is a manual cleanup project. Their subsite, their bio, their phone number in the footer, their face on the team page -- all of it needs to come down. Miss one and you've got a former agent's contact form routing leads to someone who left six months ago. We've seen this exact scenario at a brokerage in Phoenix. It's a weekly fire, and it burns real hours.

合規

Agent Subdomain Routing

Here's how the subdomain routing actually works: agentname.brokerage.com resolves through Next.js middleware, which looks up the agent record and serves their page -- all within a shared design system, on the same domain, with shared authority. Edge-rendered. Sub-100ms response times. And because it's one codebase, a design update rolls out to every agent page at once, not one-by-one.

MLS Feed as First-Class Content

Instead of an iframe phoning home to a third-party IDX server, listings live in your own database -- pulled via the RESO Web API and indexed in Algolia or Typesense. Every listing page is rendered as part of your actual site. So when Google crawls a listing at 123 Main Street, Austin TX, it credits that content to your brokerage domain. That's the SEO compounding effect SaaS platforms structurally can't replicate.

Role-Based Agent Editing

Agents get a scoped admin panel where they can edit their bio, upload gallery photos, pin featured listings, and manage testimonials. But they can't touch the nav, the footer, or anything flagged as brand-locked. Supabase row-level security enforces those boundaries at the database layer -- it's not just a UI restriction. And every edit is audit-logged, so if something goes wrong, you can see exactly who changed what and roll it back.

Automated Agent Offboarding

One command. That's it. When an agent leaves, their subsite switches to a graceful farewell state, their URLs 301-redirect to the team page, and their listings reassign to the brokerage. No manual cleanup, no orphaned contact forms, no 2am Slack messages from the broker wondering why a former agent is still showing up in Google. The whole offboarding flow runs in seconds.

我們構建的內容

Agent Subsites

Every agent gets their own full site -- whether that's a subdomain like sarahjones.brokerage.com or a subpath like brokerage.com/agents/sarah-jones. Either way, it's a real site with a bio, active listings, testimonials, and a lead form. Sarah can customize her content. She can't break the brand. That boundary is enforced in code, not just policy.

MLS/IDX Listing Search

We connect to the RESO Web API where the MLS supports it -- and most modern ones do -- or to a mid-tier provider like FlexMLS for older systems. Listings get indexed in Algolia, which means search queries return in under 100ms. The search UI includes map view, filters, saved searches, and email alerts. Not a widget. An actual product.

Listing Landing Pages

Every listing gets its own shareable page -- not a generic template printout, but a real page with proper OpenGraph images so it looks great when an agent shares it in an iMessage or posts it to Instagram. Virtual tour embeds, neighborhood context, QR codes ready for open-house flyers. This is the stuff agents actually brag about to their clients.

Lead Routing to CRM

Follow Up Boss, Lofty, BoomTown -- we've integrated with all of them. Two-way sync means leads hit the right agent instantly, with full UTM and referrer attribution, and agents can see lead status updates without bouncing between five different tabs. The real kicker is that the brokerage admin dashboard shows the same data, so nothing falls through the cracks.

City + Neighborhood Pages

Programmatic SEO -- done right -- means the brokerage owns "homes for sale in [neighborhood]" searches across every market you serve. We build city-level and neighborhood-level landing pages that are actually useful, not just keyword-stuffed boilerplate. Done at scale, this is how a Dallas or Denver brokerage takes real organic market share from Zillow and Realtor.com over 18-24 months.

Mobile-First Design System

Buyers search on their phones. Agents text listing links from their phones. So every page is designed phone-first, not desktop-first with a responsive afterthought. And we enforce a performance budget in CI -- if a new feature push degrades LCP past the threshold, the build fails. No sneaking in a heavy carousel at 11pm.

我們的流程

01

Brokerage Architecture Workshop

Weeks one and two are about mapping reality before writing a single line of code. We document your current IDX feed, your CRM setup, your MLS provider, your actual agent count, and where you're planning to be in three years. You get an architecture doc, an integration plan, and a three-year cost model. Decisions made here save six figures later.
Week 1-2
02

Design System + Agent Template

Weeks three and four: design tokens for both the brokerage level and the agent level, a production-ready agent subsite template, and a listing detail page. Not mockups -- actual production code that the team can start stress-testing against real data.
Week 3-4
03

MLS/IDX Integration

Weeks five through seven are the integration sprint -- RESO Web API or FlexMLS/Spark depending on your MLS, Algolia indexing pipeline, image CDN setup, and the full listing search experience with filters and map. This is usually where the fun arguments happen about map clustering algorithms.
Week 5-7
04

CMS + Agent Admin

Weeks eight through ten: the two-tier editor UI, scoped role-based access control, audit logging, the agent onboarding and offboarding flows, and CRM two-way sync. By the end of week ten, a brand-new agent can be onboarded -- full subsite live -- in under ten minutes.
Week 8-10
05

Migration + Launch

Weeks eleven through fourteen are migration and launch. We export content from Placester or whatever you're leaving, map every old URL to its new destination with proper 301s, run SEO validation, and watch the launch like hawks. Then there's 30 days of post-launch support -- because something always needs tuning after real agents start using a real product.
Week 11-14
Next.jsSupabaseVercel EdgePayload CMSRESO Web APIMapboxTypeScript

常見問題

代理子域名架構如何運作？

每個經紀人獲得 agentname.brokerage.com -- 他們自己的頁面、他們的房源、他們的聯絡表單 -- 而整個系統運行在一個代碼庫、一個設計系統、一個域名上。技術上講，它是使用 Next.js 中間件解析子域名以連接到數據庫中經紀人記錄的通配符 DNS。耗時約 40 毫秒。從 SEO 角度來看，主域保持複合權限 -- 代理子域名不會分割它。這是我們經常遇到的問題，值得澄清。

你們能替換 Placester、Real Geeks 或 IDX Broker 嗎？

可以的，我們可以替換 Real Geeks 或 Sierra Interactive。這些平台解決了 IDX 源問題，但將您困在緩慢的、範本農場化的頁面中，這些頁面確實不能通過 Core Web Vitals。我們直接通過 RESO Web API 將房源拉入適當的數據庫，然後使用完全設計控制以邊緣速度渲染它們。已進行此切換的經紀公司 -- 我們想到了納什維爾的一家 -- 通常在上線後 90 天內看到 40-70% 更快的 LCP 和 2-3 倍更好的本地排名。

經紀公司平台成本是多少？

對於 50-150 名經紀人，固定費用項目通常運行 $80K-$220K。對於 150-500 名經紀人且具有複雜的 MLS 整合，費用為 $180K-$500K，具體取決於我們連接的內容。但更重要的比較是：在任何規模上託管此堆棧每年運行 $540-$2,400。Placester 風格的平台每月收費 $2K-$8K。在三年內，自定義構建通常總擁有成本低 50-70% -- 並且您擁有該資產。

經紀人是否獲得自己的網站？

是的 -- 經紀人獲得一個完整的子域名或子路徑網站，他們實際上可以自定義。個人簡歷、相冊、精選房源、推薦、聯絡表單 -- 全部屬於他們。他們無法觸及的內容：經紀公司品牌、導航、頁腳、法律免責聲明。該邊界在數據庫層通過 Supabase RLS 強制執行，而不僅僅是隱藏 UI 中的按鈕。每次編輯都經過審計日誌記錄且可逆轉。當經紀人離開時，離職只需一條命令。無需清理衝刺。

您如何處理 MLS/IDX 源？

在 MLS 支持的地方，我們直接連接到 RESO Web API -- 大多數現代 MLS 都支持。對於舊系統，我們使用中層提供商：iHomeFinder、FlexMLS 或 Spark，具體取決於市場中可用的內容。房源每 15 分鐘同步一次，圖像在 CDN 邊緣緩存，搜索在 Algolia 或 Typesense 上運行以進行次 100 毫秒查詢。這不是一個小工具。這是一個實際的搜索產品。

本地 SEO 如何處理？

以下是實踐中 SEO 設置的實際情況：每個經紀人的 LocalBusiness 架構、每個相關頁面上的 RealEstateAgent 和 RealEstateListing 架構、經紀公司和每個經紀人主要市場的城市級和街區級登陸頁面、GBP API 整合以進行評論，以及為規模而構建的程序化街區內容範本。這是夏洛特或薩克拉門托等市場的經紀公司開始真正擁有本地搜索的方式 -- 而不僅僅是出現。

它可以與我們的 CRM（Follow Up Boss、Lofty、BoomTown）整合嗎？

是的，CRM 整合是標準配置。潛在客戶捕捉表單通過其 API 路由到您的 CRM，具有完整的 UTM 和引薦商信息 -- 因此您確切知道哪個頁面、哪個活動、哪個經紀人鏈接驅動了每條潛在客戶。Follow Up Boss 和 Lofty 可進行雙向同步，意味著經紀人在經紀公司管理員中看到潛在客戶狀態更新，而無需登錄單獨的系統。歸因不會丟失。在人們丟失它之前，這比人們意識到的重要得多。

那麼社交媒體和開放日的房源登陸頁面呢？

這實際上是與平面 MLS 源的最大差異之一。每個房源都獲得自己的可共享登陸頁面，具有適當的 OpenGraph 圖像 -- 所以當經紀人向買家發送鏈接時，它實際上會正確預覽。虛擬遊覽嵌入、街區背景、潛在客戶表單和為開放日傳單一鍵生成每個房源的 QR 碼。經紀人可以從單個螢幕生成開放日微網站或電子郵件活動。這就是讓經紀人告訴他們的朋友他們在哪裡掛執照的那種事情。

Brokerage Platforms from $80,000
50-150 agents, fixed-fee. Enterprise tier for 500+.
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