Real estate SEO services, United States
Most of your buyer and seller inquiries arrive through portals you rent. We build the neighborhood, listing and home value pages that earn those inquiries on your own site, clean up the IDX pages that dilute it, and tag every inquiry with the area and page that produced it.
$4,000 a month for metro 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. Redefine Web (Jan 2026) says organic rankings need 6 to 9 months to compound, and NAR's 2025 buyer profile puts the median home search at 10 weeks, so the model holds closed sides back by your own lag. The chart is a planning model driven by your inputs, with every assumption on screen. It is not a promise.
Inquiries come from portals, not our site. Your agents work leads bought or referred from the big portals. Your own site gets brand searches and agent name searches, and almost no area queries. Visits are a sample number. Visit to inquiry is set at 1.0%, under the 2.7% real estate average in First Page Sage client data (Jan 2022 to Aug 2025), because brand traffic is mostly people already working with an agent. Inquiry to closed side uses 1.0%, inside the 0.4 to 1.2% band that Follow Up Boss attributes to NAR. Commission per side is 2.76% (Clever, Aug 2026 survey of 434 agents) of the $425,000 median agent-assisted sale price (NAR 2025 profile), rounded to $11,700.
IDX traffic, thousands of thin listing pages. Your IDX feed publishes every active listing and every search result page, so Google sees thousands of near-duplicate URLs and visitors bounce at the registration wall. Traffic is real, inquiries are few. Visits are a sample number. Visit to inquiry is set at 0.8% and inquiry to closed side at 0.8%, both assumptions under the sourced averages because listing browsers are early in the search. Commission per side as in the first profile.
Neighborhood guides that went flat. An in-house marketer or a past agency wrote area guides that brought steady traffic, then growth stopped. Pages are dated, the market stats are stale, and nobody knows which guide produced a listing appointment. Visits are a sample number. Visit to inquiry uses 2.7%, the real estate average in First Page Sage client data, which counts any conversion action across the whole site. Inquiry to closed side uses 1.0%, inside the 0.4 to 1.2% band attributed to NAR.
New metro, new office or new domain. You opened an office in a second metro, merged brands or moved to a new domain, so the site has few links and no history in the new market. Visits are a sample number. Visit to inquiry uses 2.0%, an assumption under the 2.7% average, and inquiry to closed side uses 1.2%, the top of the band attributed to NAR, because new-market inquiries often come from relocation buyers who already know they will move. Expect the conservative line here: Redefine Web puts compounding at 6 to 9 months for an established site.
Every account, export and document sits in your workspace from day one.
The tracking spec, the dashboard and the definitions document.
The area map and keyword plan.
The pages, the template and the data feed spec.
The architecture document and the IDX settings.
The seller pages and the review process document.
The six-month report.
The report method and the press list.
The guides and their update schedule.
The test log.
The expanded area 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 and seller inquiries, month 0 to the month shown
Each tile is an area you sell in. A tile lights up when its pages rank on page one for the area queries we track, and shows the inquiries it produced that month. The layout below is a sample for a brokerage in the Dallas Fort Worth metro; yours is built from the areas that hold your listings and closed sides.
0 of 10 areas live at month 0. Brighter tiles get more buyer and seller inquiries.
Areas go live in the order listed, at months 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, and buyer and seller 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 from vendor and agency blogs. It is not a forecast, a promise or a guarantee of rankings, traffic, inquiries, closed sides or commission income.
| Month | Monthly organic visits, cons. | Monthly organic visits, exp. | Buyer and seller inquiries, cons. | Buyer and seller inquiries, exp. | Closed transaction sides, cons. | Closed transaction sides, exp. | Gross commission income, cons. | Gross commission income, exp. | Cumulative, cons. | Cumulative, exp. |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 3,000 | 3,000 | 30 | 30 | 0.3 | 0.3 | $3.5K | $3.5K | $3.5K | $3.5K |
| 1 | 3,000 | 3,000 | 30 | 30 | 0.3 | 0.3 | $3.5K | $3.5K | $7K | $7K |
| 2 | 3,000 | 3,060 | 30 | 30.6 | 0.3 | 0.3 | $3.5K | $3.5K | $11K | $11K |
| 3 | 3,000 | 3,180 | 30 | 31.8 | 0.3 | 0.3 | $3.5K | $3.5K | $14K | $14K |
| 4 | 3,060 | 3,360 | 31.2 | 35.3 | 0.3 | 0.3 | $3.5K | $3.5K | $18K | $18K |
| 5 | 3,150 | 3,600 | 32.8 | 39.6 | 0.3 | 0.3 | $3.5K | $3.6K | $21K | $21K |
| 6 | 3,270 | 3,900 | 35 | 44.8 | 0.3 | 0.3 | $3.5K | $3.7K | $25K | $25K |
| 7 | 3,420 | 4,260 | 37.6 | 51.1 | 0.3 | 0.4 | $3.7K | $4.1K | $28K | $29K |
| 8 | 3,600 | 4,680 | 40.3 | 58.5 | 0.3 | 0.4 | $3.8K | $4.6K | $32K | $34K |
| 9 | 3,810 | 5,160 | 43.4 | 67.1 | 0.3 | 0.4 | $4.1K | $5.2K | $36K | $39K |
| 10 | 4,020 | 5,640 | 46.6 | 75 | 0.4 | 0.5 | $4.4K | $6K | $41K | $45K |
| 11 | 4,230 | 6,120 | 49.9 | 83.2 | 0.4 | 0.6 | $4.7K | $6.8K | $45K | $52K |
| 12 | 4,440 | 6,600 | 53.3 | 92.4 | 0.4 | 0.7 | $5.1K | $7.8K | $50K | $60K |
For each month m from 0 to 12: Monthly organic visits(m) = V0 x VisitRamp(m). Buyer and seller inquiries(m) = Monthly organic visits(m) x C0 x ConversionRamp(m). Closed transaction sides(m) = Buyer and seller inquiries(m minus L) x P. Gross commission income(m) = Closed transaction sides(m) x Gross commission per closed side. Cumulative gross commission income = sum of gross commission income from month 0 to m. Before month L, closed transaction sides come from the month 0 level of buyer and seller 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 from vendor and agency blogs. It is not a forecast, a promise or a guarantee of rankings, traffic, inquiries, closed sides or commission income.
| In your model | Today (month 0) | Month 12, conservative | Month 12, expected |
|---|---|---|---|
| Monthly organic visits per month | 3,000 | 4,440 | 6,600 |
| Buyer and seller inquiries per month | 30 | 53.3 | 92.4 |
| Closed transaction sides per month | 0.3 | 0.4 | 0.7 |
| Gross commission income per month | $3.5K | $5.1K | $7.8K |
| Cumulative gross commission income, months 0 to 12 | $46K if month 0 holds | $50K | $60K |
| Area | Today | Month 12 |
|---|---|---|
| Inquiry source | Most buyer and seller inquiries arrive through portals you pay for | Organic inquiries tracked by area, next to portal inquiries in the same CRM report |
| Attribution | Inquiries arrive with no page or area attached | Every inquiry carries landing page, area and source |
| Area coverage | A few area guides, stats out of date | Sixteen area pages with quarterly market data from your closed sides |
| IDX pages | Thousands of filter pages in the index, few earn a visit | An indexing plan: area, property type and price band pages kept, the rest set to noindex |
| Seller side | One generic home value form | Home value pages per area with requests tagged by area |
| Authority | Links from directories and agent profiles | Earned mentions from local market reports built on your own data |
| Unit economics | No organic cost per closed side | Organic cost per closed side next to portal and paid |
Playbook
Each card is a page type and the kind of search it answers, with your names in the brackets.
Buyers search the area before the house. A neighborhood page with this quarter's sold prices, schools, commute times and your agents who sell there answers that search and keeps the visitor on your site instead of a portal. We write them from your MLS data, not from a template that swaps the town name.
An IDX feed can publish tens of thousands of listing and filter URLs. Most are near duplicates of the portals. We keep the pages a buyer would bookmark (area, property type, price band) indexable and set the rest to noindex, so Google spends its crawl on pages that can rank.
A listing appointment is worth more to a brokerage than a buyer inquiry. Home value pages per area, with what similar homes sold for, capture sellers early. The valuation itself stays with your agents.
Your closed sides are data no portal has. A quarterly report per area gives local press a reason to cite and link to you, and gives your area pages fresh numbers.
Relocation buyers search the metro long before they pick an agent. Moving guides and new construction community pages reach them while they compare areas.
Area pages describe homes, amenities and data, never who should live there. Every page is checked against the Fair Housing Act advertising rules before it goes live, and your broker of record signs off.
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
Residential brokerages with 20 or more agents in a major metro, or investor groups active in two or more markets
By proposal
Brokerages and franchise groups across several metros or states
Fit
FAQ
Per Redefine Web (Jan 2026), organic rankings take 6 to 9 months to compound, and first movement in the map pack can begin in 6 to 10 weeks. Treat both as vendor estimates rather than guarantees. A closed side arrives later still, after your usual search and escrow period, which is why the model includes a lag input.
Portal leads are rented: the next agent can buy the same area. Area pages and home value pages on your site keep earning after the spend stops, and the inquiries arrive tagged with the area and page in your CRM. We report both channels side by side so you can decide the mix.
Only with your IDX provider and with your sign off. We decide which listing and search pages stay in Google's index and which carry noindex, so crawl budget goes to pages a buyer would bookmark. Listings stay visible to visitors either way.
We describe homes, amenities and published data with its source, never who a neighborhood suits by protected class. Your broker of record approves pages before they go live. Compliance with fair housing and state license advertising rules stays your brokerage's responsibility.
No US results exist yet, and we won't make any up. What we can show is the founder's in-house record at Brain Station 23, an IT services and software development firm, where combined SEO and paid search grew inbound pipeline 43x over eight months. Our first real estate client will be a pilot, and we publish its 90-day interim metrics once that client approves.
From month 10 we track a fixed set of buyer and seller prompts for your metro and record whether AI answers cite your area pages. Pages are written answer first, with data sources and a named author, so they can be quoted.
We cite these as directional, and say so where a figure is secondary.
Over a 30-minute call we review where today's inquiries originate, which areas produce your closed sides, and where the portals rank above you. If it fits, you leave with a draft area map and a written scope.