SleekRank for condo listings
Feed SleekRank a condo roster with slug, address, building name, unit number, floor, view, HOA dues, price, beds, baths, and a photo array. It renders one WordPress page per unit, a per-building hub, and a per-neighborhood hub, all wired into the sitemap with RealEstateListing schema mapped in.
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Condo buyers search by building, floor, view, and HOA
Condo shoppers run very specific queries: "high floor condo Brickell water view", "loft condo South Loop Chicago", "condo for sale One57 New York", "condo with parking Capitol Hill Seattle". A generic IDX page cannot rank for those because the query combines building name, floor level, view, and amenity package, and most IDX widgets surface a single search-results page rather than a unit-level URL.
SleekRank treats the unit roster as the source. Each row carries slug, address, building, unit number, floor, view direction, HOA dues, price, beds, baths, square footage, amenities, and a photo URL array. SleekRank renders a WordPress page per unit with the building, floor, view, and price in the HTML before any IDX widget or floor plan loads.
The same data drives a /condos/{building}/ hub for each tower or building name and a /condos/{neighborhood}/ hub grouping by neighborhood. When a unit closes, the status flips, the URL routes to a sold archive, and the active index refreshes on the next cache cycle. The brokerage owns the sheet, the directory runs itself.
Workflow
From unit roster to ranked condo page
Build the unit template
Maintain the unit roster
Wire mappings
Publish and refresh
Data in, pages out
Unit roster, one page per condo
| slug | building | unit | floor | view | price |
|---|---|---|---|---|---|
| 1080-brickell-ave-2204-brickell-miami-fl | 1080 Brickell | 2204 | 22 | Bay | $849,000 |
| 1212-s-michigan-1505-south-loop-chicago-il | 1212 S Michigan | 1505 | 15 | Lake | $418,000 |
| 157-w-57-st-58a-midtown-manhattan-ny | One57 | 58A | 58 | Park | $8,400,000 |
| 1414-12-ave-405-capitol-hill-seattle-wa | 1414 12th | 405 | 4 | City | $612,000 |
| 2851-collins-ave-1801-mid-beach-miami-fl | 2851 Collins | 1801 | 18 | Ocean | $1,495,000 |
/condos/{slug}/
- /condos/1080-brickell-ave-2204-brickell-miami-fl/
- /condos/1212-s-michigan-1505-south-loop-chicago-il/
- /condos/157-w-57-st-58a-midtown-manhattan-ny/
- /condos/1414-12-ave-405-capitol-hill-seattle-wa/
- /condos/2851-collins-ave-1801-mid-beach-miami-fl/
Comparison
IDX iframes vs sheet-driven condo pages
Generic IDX iframe widget
- Listings load inside an iframe that search engines never see
- Building and view queries route to third-party portals
- HOA dues and asking price drift between the IDX feed and the brokerage site
- Sold units linger as IDX results with stale fields
- Aggregators outrank the brokerage for the brokerage's own buildings
- No control over schema, OG cards, or copy per unit
SleekRank
- One indexable WordPress URL per unit, generated from the sheet or MLS feed
- Per-building and per-neighborhood hub pages from the same source
- RealEstateListing schema, OG image, and meta description mapped from row fields
- Sold units flip to an archive pattern via a status column
- Sitemap auto-includes new listings without manual editing
- Pair with SleekPixel for a per-unit OG card with building name and view overlay
Features
What SleekRank gives you for condo listings
Unit pages that read like a brokerage sheet
Each URL surfaces building, unit, floor, view, beds, baths, and price in real HTML. Buyers comparing two units in the same tower land on pages that mirror how the agent runs comps.
Per-building hubs from the same column
Run a second pattern at /condos/{building}/ that buckets units by tower. 1080 Brickell and One57 each get their own indexable page from one dataset.
Per-neighborhood directories
Brickell, South Loop, Midtown, Capitol Hill, and Mid Beach each get a hub at /condos/{neighborhood}/ filtered off the neighborhood column. Buyers searching a specific area land on a real neighborhood page.
Use cases
Who builds condo listings with SleekRank
Luxury condo specialists
Agents focused on a small set of trophy buildings publish each available unit as a real URL, with building name, floor, view, and HOA pulled from the brokerage CRM rather than a vendor portal.
New-construction sales teams
Pre-construction sales offices publish each unit in the stack as a page with floor, view, asking price, and delivery date, separate from any MLS feed.
Multi-city brokerages
Brokerages active across Miami, Chicago, New York, and Seattle generate one page per unit and one hub per neighborhood across every market, all driven by the same regional feed.
The bigger picture
Why condo brokerages should own the URL for each unit
Condo shopping is the most building-anchored slice of residential real estate, where the same address can carry units worth four hundred thousand and units worth fourteen million depending on floor and view. The default for the industry is an IDX widget that hides every listing inside an iframe on a vendor domain, plus the occasional building-page write-up that goes stale within months. The brokerage pays for premium placement on someone else's URL, accrues no SEO equity over time, and watches aggregators rank for the brokerage's own trophy buildings.
With SleekRank a single MLS export or sheet drives a real WordPress URL for every unit, the building hubs accumulate authority across years, and the same template renders cleanly whether the active corpus holds twenty units or two thousand. When a unit closes the status flips, the live index reflects the next listing without manual cleanup, and the sold archive becomes comp research for buyers studying the stack. The brokerage keeps the brand surface, the feed keeps the freshness, and search engines see a real building directory rather than another iframe shell.
Questions
Common questions about SleekRank for condo listings
Yes. Run a second page group with /condos/{building}/ as the URL pattern, sourced from the same feed. A list mapping filters rows where building matches the slug and renders active units in that tower. One feed, two URL patterns, no duplicate maintenance.
 Use a status column with values like active, pending, and sold. Filter the data source to active rows for the live pattern and route sold rows to a /condos/sold/{slug}/ pattern if you want them archived as comps. SleekRank rebuilds both corpora on the next cache refresh.
 Yes. Maintain an amenities text in the building-level data source and join on building name through a list mapping. Pool, gym, valet, and concierge details render once per building and inherit into every unit page in that tower.
 Map fields to a JSON-LD RealEstateListing block via a meta mapping. Address, price, bedrooms, bathrooms, and floor area fill in the schema per row. Validate one page with Google's Rich Results Test, then trust the template across the corpus.
 Yes. The status column drives a badge on the unit page via a selector mapping. When the MLS feed flips a unit to pending or sold, the page reflects the new state on the next cache refresh, usually within an hour.
 Both. Point SleekRank at the MLS REST endpoint with the appropriate auth, at a nightly CSV export, or at a Google Sheet maintained by the brokerage admin. The same mappings apply regardless of where the rows originated.
 Each unit page has a unique floor, view, price, layout, and gallery, even when the address line matches. Use per-row metaDescription, H1, and lead paragraph fields to ensure variety beyond the boilerplate. SleekRank surfaces every field per row, which is what keeps duplicate detection at bay.
 Yes. Route rows where status is sold to a /condos/sold/{slug}/ pattern via a second page group. The active corpus stays clean and the comp archive becomes a long-tail SEO asset for buyers studying recent prices across the stack before they bid.
 Pricing
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