Real estate SEO services, New York City
New York buyers and renters search by neighborhood, building and board rules, and StreetEasy and the portals answer most of those searches. We build the neighborhood, building and co-op and condo pages that earn buyer, seller and landlord inquiries on your own site, and tag each one with the borough and neighborhood that produced it.
$4,000 a month for NYC brokerages
Customer success journey
Pick where your brokerage's organic channel is today, put in your own numbers, and walk the year month by month: what we ship, what you should start to see, and what you keep. NYC search results are crowded with StreetEasy and national portals, so the expected line here is flatter than on our US page, and co-op board approvals stretch the time from inquiry to closing. The chart is a planning model driven by your inputs, with every assumption on screen. It is not a promise.
Manhattan sales brokerage behind StreetEasy. Your listings syndicate from the REBNY RLS to StreetEasy and the portals, and buyers meet them there first. Your site gets brand and agent name searches. Visits are a sample number. Visit to inquiry is set at 1.5%, an assumption under the 2.7% real estate average in First Page Sage client data. Inquiry to closed deal uses 1.0%, inside the 0.4 to 1.2% band attributed to NAR. Commission is 2.3%, about the average of New York State's 2.41% seller side and 2.21% buyer side (Clever, Aug 2026), of the $1,275,000 Manhattan Q2 2026 median (PropertyShark): about $29,300.
New development sales team. You market condo buildings in Brooklyn, Long Island City or Manhattan, and each building has a microsite that fades after sales launch. Visits are a sample number. Visit to inquiry uses 2.0% and inquiry to closed deal 1.0%, both assumptions. Value is 2.3% of the $1.49 million Q2 2026 Brooklyn condo median (Douglas Elliman, via Brick Underground), about $34,300, as a sample for your fee per unit. Lag is 5 months because new development contracts often close at building completion; set your own.
Brooklyn and Queens brokerage with neighborhood guides. You sell homes, condos and co-ops in Brooklyn and Queens and have neighborhood guides that brought steady traffic, then went flat. Visits are a sample number. Visit to inquiry uses 2.7%, the First Page Sage real estate average, which counts any conversion action. Inquiry to closed deal uses 1.0%. Value is 2.3% of the $595,000 Queens Q2 2026 median (PropertyShark), about $13,700; use the $899,000 Brooklyn median from the same report if that is your market.
Rental brokerage rebuilding after the FARE Act. Since 11 June 2025 the FARE Act bars landlords from passing their broker's fee to tenants, so your rental business now depends on landlord clients. You need landlords to find you, and tenants to find your exclusive listings. Visits, both rates and the fee per lease are sample numbers: a landlord-paid fee of $4,000 per lease and 2.0% of inquiries turning into a signed lease are assumptions to replace with yours.
Every account, export and document sits in your workspace from day one.
The tracking spec and the dashboard.
The borough map and keyword plan.
The pages and the template.
The building page set.
The guides and their update schedule.
The six-month report.
The report method and the press list.
The launch playbook.
The test log.
The expanded borough map.
The cost model.
Everything: pages, data, dashboards and the roadmap.
Expected and conservative use the ramps in the assumptions panel. Month 0 is your input with no change.
Non-branded, from your analytics
From monthly organic visits
From buyer, seller and landlord inquiries, month 0 to the month shown
Each tile is a neighborhood where you hold listings or close deals. A tile lights up when its pages reach page one for the neighborhood queries we track, and shows the inquiries it produced that month. The tiles below are a sample across the boroughs; yours follow your listings.
0 of 12 areas live at month 0. Brighter tiles get more buyer, seller and landlord inquiries.
Areas go live in the order listed, at months 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 10, 10, and buyer, seller and landlord inquiries are split evenly across the live areas. Both are assumptions; your own area data replaces them.
This is a planning model built from your inputs and public benchmarks, most of them national figures from vendor and agency blogs. It is not a forecast, a promise or a guarantee of rankings, traffic, inquiries, closed deals or commission income.
| Month | Monthly organic visits, cons. | Monthly organic visits, exp. | Buyer, seller and landlord inquiries, cons. | Buyer, seller and landlord inquiries, exp. | Closed deals, cons. | Closed deals, exp. | Gross commission income, cons. | Gross commission income, exp. | Cumulative, cons. | Cumulative, exp. |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 8,000 | 8,000 | 120 | 120 | 1.2 | 1.2 | $35K | $35K | $35K | $35K |
| 1 | 8,000 | 8,000 | 120 | 120 | 1.2 | 1.2 | $35K | $35K | $70K | $70K |
| 2 | 8,000 | 8,000 | 120 | 120 | 1.2 | 1.2 | $35K | $35K | $105K | $105K |
| 3 | 8,000 | 8,320 | 120 | 125 | 1.2 | 1.2 | $35K | $35K | $141K | $141K |
| 4 | 8,080 | 8,720 | 122 | 136 | 1.2 | 1.2 | $35K | $35K | $176K | $176K |
| 5 | 8,240 | 9,200 | 127 | 149 | 1.2 | 1.2 | $35K | $35K | $211K | $211K |
| 6 | 8,480 | 9,760 | 134 | 164 | 1.2 | 1.2 | $35K | $35K | $246K | $246K |
| 7 | 8,720 | 10,400 | 140 | 181 | 1.2 | 1.2 | $35K | $37K | $281K | $283K |
| 8 | 9,040 | 11,120 | 148 | 200 | 1.2 | 1.4 | $36K | $40K | $317K | $323K |
| 9 | 9,360 | 11,920 | 156 | 222 | 1.3 | 1.5 | $37K | $44K | $354K | $366K |
| 10 | 9,680 | 12,800 | 164 | 244 | 1.3 | 1.6 | $39K | $48K | $394K | $414K |
| 11 | 10,080 | 13,680 | 174 | 267 | 1.4 | 1.8 | $41K | $53K | $435K | $467K |
| 12 | 10,400 | 14,560 | 183 | 290 | 1.5 | 2 | $43K | $59K | $478K | $526K |
For each month m from 0 to 12: Monthly organic visits(m) = V0 x VisitRamp(m). Buyer, seller and landlord inquiries(m) = Monthly organic visits(m) x C0 x ConversionRamp(m). Closed deals(m) = Buyer, seller and landlord inquiries(m minus L) x P. Gross commission income(m) = Closed deals(m) x Gross commission per closed deal. Cumulative gross commission income = sum of gross commission income from month 0 to m. Before month L, closed deals come from the month 0 level of buyer, seller and landlord inquiries.
Each ramp is a multiplier on month 0, one per month. Month 0 is 1.00. Every multiplier is an assumption and is editable below.
| Multiplier | M0 | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Visit ramp, expected | |||||||||||||
| Visit ramp, conservative | |||||||||||||
| Conversion ramp, expected | |||||||||||||
| Conversion ramp, conservative |
This is a planning model built from your inputs and public benchmarks, most of them national figures from vendor and agency blogs. It is not a forecast, a promise or a guarantee of rankings, traffic, inquiries, closed deals or commission income.
| In your model | Today (month 0) | Month 12, conservative | Month 12, expected |
|---|---|---|---|
| Monthly organic visits per month | 8,000 | 10,400 | 14,560 |
| Buyer, seller and landlord inquiries per month | 120 | 183 | 290 |
| Closed deals per month | 1.2 | 1.5 | 2 |
| Gross commission income per month | $35K | $43K | $59K |
| Cumulative gross commission income, months 0 to 12 | $457K if month 0 holds | $478K | $526K |
| Area | Today | Month 12 |
|---|---|---|
| Inquiry source | Buyers and renters meet your listings on StreetEasy and the portals first | Organic inquiries tracked by neighborhood next to StreetEasy and portal inquiries |
| Neighborhoods | A few guides, stats out of date | Sixteen neighborhood pages across your boroughs with quarterly data from your deals |
| Buildings | Building names searched, answered by portals | Pages for the co-ops and condos you sell most |
| Buyer questions | Board packages and closing costs answered elsewhere | Co-op and condo guides with official sources |
| Rentals | Listings and fee disclosures set up before the FARE Act | Rental pages that show all tenant fees and landlord pages that win landlord clients |
| Attribution | Inquiries arrive with no neighborhood attached | Every inquiry carries neighborhood, building and source |
| Unit economics | No organic cost per closed deal | Organic cost per closed deal next to StreetEasy and paid |
Playbook
Each card is a page type and the kind of search it answers, with your names in the brackets.
New Yorkers search the neighborhood before the apartment. A page with your recent sales, subway lines, schools and the co-op and condo mix answers that search with data StreetEasy does not show in the same place.
Buyers search building names and addresses. Pages for the buildings you sell most, with past sales, amenities and board notes you approve, turn those searches into inquiries for your agents.
Board packages, offering plans, closing costs and transfer taxes are questions every NYC buyer asks. Guides with official sources earn links and bring buyers to you before they pick an agent.
Since June 2025 rental brokers are paid by the party that hires them. Pages that show landlords how you market and fill units, and rental listings that show every tenant fee, fit how the market works now.
A building launch draws searches for months. One URL path from coming soon to availability keeps the rankings the building earns, instead of a microsite that disappears after sell-out.
Pages describe homes, transit and published data, never who should live there. The New York City Human Rights Law also protects lawful source of income, so no page or listing excludes voucher holders. Your broker of record signs off before publishing.
Proof
43x
The founder ran SEO and paid search in-house at Brain Station 23, a software development and IT services company. The same method of tracking first, bottom-of-funnel pages next, then links and conversion work, took inbound pipeline to 43x in eight months. That was SEO and paid search together, for an IT services company, not a real estate business.
Source: Brain Station 23 internal data, founder's in-house role; published as a multiple only
Brain Station 23 (software development and IT services) and NopStation (Brain Station 23's nopCommerce e-commerce brand) are the founder's in-house work, not client results. S & F Consulting (company formation, licensing and accounting, not a law firm) and RENTS (real estate, Bangladesh) are CMBD clients. CMBD has no real estate client case study yet.
Ten keywords from four of our projects, each with its Google position, the country searched from and the project it belongs to. The chips list every country where one of the three Ahrefs-tracked projects has a keyword in Google's top 10. Positions only.
Ranked in
Source: Ahrefs organic keywords exports for brainstation-23.com, nop-station.com and sfconsultingbd.com, 16 Oct 2026, plus one client row from the CMBD homepage rank card (Google Bangladesh). Positions are Ahrefs positions on the export date, shown as keyword, position, country and project only.
Illustration of the goal
Illustration: a Google search for your keyword, with Your brand in the first result, above Competitor 1, Competitor 2 and Competitor 3.
Illustration of the goal, not a promise and not a client result. Competitor 1 to 3 and positions 2 to 4 are placeholders and appear only in this drawing. CMBD has no real estate client case study yet.
Pricing
$4,000a month
Brokerages with 20 or more agents selling or leasing in the five boroughs
By proposal
New development marketing teams and brokerages with several offices or markets
Fit
FAQ
Not on every listing search, and we do not promise that. Your site can win neighborhood, building, co-op and condo questions and your own brand, where you know more than a portal. We report organic and StreetEasy inquiries side by side so you can judge the mix.
Since 11 June 2025 landlords cannot pass their broker's fee to tenants, and listings must disclose every fee a tenant would pay. Rental pages now need complete fee disclosure, and the business case shifts to winning landlord clients, so we build landlord pages per neighborhood. REBNY says it remains a party to a lawsuit challenging the law; we follow the law as it stands and your counsel's advice.
Redefine Web (Jan 2026) says organic rankings need 6 to 9 months to compound. NYC results are crowded, so our model's expected line is flatter than on our national page. Co-op board approvals and new development completion dates then add to the time from inquiry to closing.
Your brokerage. New York Department of State licence rules on advertising, the federal Fair Housing Act and the New York City Human Rights Law, including lawful source of income, apply to every page. We build pages to avoid exclusionary language and your broker of record approves each one before it goes live.
Not yet, and we will not invent them. Our proof is the founder's in-house work at Brain Station 23, a software development and IT services company, where SEO and paid search took inbound pipeline to 43x in eight months. Our first real estate client is a pilot whose 90-day interim metrics we publish with its approval.
Yes. The map covers all five boroughs, and many brokerages get more from Brooklyn and Queens neighborhood pages, where portal coverage of local detail is thinner.
We cite these as directional, and say so where a figure is secondary.
In a 30-minute call we look at where your inquiries come from today, which neighborhoods and buildings hold your deals, and where StreetEasy and other brokers outrank you. You leave with a draft borough map and a written scope if it fits.