Done-for-you programmatic SEO, built for real estate marketers
A fixed-scope programmatic SEO build for real estate marketers: we design the data contract against MLS / Rightmove / Zillow feeds, ship 180 reviewed URLs in the first tranche, and hand you the templates, gates and runbook. Modelled at 384 indexed URLs earning roughly 152 valuation enquirys a month at real estate marketers' typical rates.
- Pilot
- from $4,200
- Build
- from $10,900
- Scale
- from $22,700
63–180 URLs
620 URLs
2,480+ URLs
The build, not the theory
Property SEO fails when the whole strategy is listing pages: they expire, they duplicate across portals, and they carry supplier photography and copy. The durable layer sits above listings — neighbourhood guides, price trends, commute analysis, catchment areas, building profiles — generated from data that updates rather than expires. Listings then become the internal-link payoff at the bottom of those pages. That is the strategy. This page is the service: what we actually do, in what order, at what price, and the conditions under which we tell you not to buy it. Every engagement starts by pointing at one real system you already run — usually MLS / Rightmove / Zillow feeds, sometimes Land registry data — and asking whether its rows can answer a query shape better than a human writing prose. If the answer is no, the engagement stops at the audit and you keep the findings. If the answer is yes, we write the data contract, design one template family against real rows, publish a gated first tranche, and only widen the axis after Search Console proves the pattern indexes. Nothing about this is a retainer: the engine installs on your WordPress, and the valuation enquiry path is wired into your funnel, not ours.
- MLS / Rightmove / Zillow feeds
- Land registry data
- Google Maps Platform
- Census / ONS data
- WordPress
- Mailchimp
- CRM (Follow Up Boss, HubSpot)
Brokerage and portal builds where conversion is a valuation or viewing request.
Four phases, each with something shipped at the end
Data assembly
Listing feed, historical transaction records, census demographics, transport timetables and school performance data joined onto a common geography.
Joined geographic dataset by area.
- A written data contract mapping MLS / Rightmove / Zillow feeds fields to every rendered block, with null-handling rules per field.
- One production template family with 10 blocks, of which 3 vary per row beyond string substitution.
- 180 published URLs with schema, internal links, sitemap entries and IndexNow pings.
- An index-eligibility gate that refuses to publish rows below your evidence threshold.
- Search Console cohort reporting split by template family, not by page.
- A refresh job that rewrites stale rows on a 21-day cycle.
- A real estate marketers-specific runbook: how to add an axis, how to kill one, how to roll back a bad batch.
- Handover session with Land registry data and Google Maps Platform wired into the reporting loop.
- MLS / Rightmove / Zillow feeds export or API accessRequired
The rows are the product. Without them there is no page family, only prose.
- One named approverRequired
A single person who can sign off a template without a committee round.
- WordPress admin or stagingRequired
We generate into your environment; we do not host your pages.
- A working valuation enquiry pathPreferred
Each page hands the visitor to a real valuation enquiry flow — form, checkout, booking or trial.
- Search Console property accessPreferred
Cohort-level indexation data is how we decide what widens and what gets cut.
- Review capacity: one page per family, per batchPreferred
A human signs the sample before the batch publishes. That is the scaled-content defence.
Quote and payback estimator
Defaults are this seat's modelled economics. Move them to your own numbers — the build estimate and payback window recalculate live. It is a model, not a quote; the fixed proposal comes after the scoping call.
- Indexed URLs (62% gate)
- 154
- Clicks / month
- 2,772
- valuation enquirys / month
- 61
- Pipeline value / month
- $57,950
- Indicative build
- $2,400
- Payback
- <1 month
The 62% index rate is the conservative figure we plan against, not a promise. Batches that gate harder index higher.
Three ways to buy this build
Pilot
from $4,200
63–180 URLs
Proving the durable layer axis exists before you fund a build.
- Data audit + contract
- One template family
- Gated first tranche
- Indexation read at day 30
Build
Most boughtfrom $10,900
620 URLs
Real Estate Marketers with a proven dataset and a live valuation enquiry funnel.
- Everything in Pilot
- 2 template families
- Schema + internal link graph
- Refresh job + rollback
- Runbook handover
Scale
from $22,700
2,480+ URLs
Multi-axis surfaces where one bad batch would be expensive to unwind.
- Everything in Build
- Multi-axis expansion plan
- Release drip + quota control
- Quarterly axis pruning
- Named delivery lead
The shape of the surface before a single page is written
/real-estate-marketers/Hub. Human-written, links every axis, never generated.
/real-estate-marketers/{durable}/Primary axis — one page per MLS / Rightmove / Zillow feeds row that clears the gate.
/real-estate-marketers/{durable}/{modifier}/Second axis. Only published where the pair has its own evidence.
/real-estate-marketers/compare/{a}-vs-{b}/Comparison family. Capped at pairs with real query volume.
/real-estate-marketers/updates/Change log for the dataset — freshness signal, not filler.
Rules that decide whether a row earns a URL
| Gate | Test | If it fails |
|---|---|---|
| Row completeness | ≥ 65% of contract fields present | Below threshold the row renders as a directory entry, not a URL. |
| Evidence density | ≥ 2 unique data points not shared with a sibling row | Fails → folded into the parent page as a section. |
| Demand | A measurable query shape in Search Console, Semrush or paid data | No demand → the axis is dropped before templates are written. |
| valuation enquiry path | A working valuation enquiry destination for the row | Missing → the page publishes noindex until the path exists. |
| Human sample | One page per family per batch reviewed and signed | Unsigned batches do not leave staging. |
What the first weeks look like
- Week 1
Scoping call and data review
We look at what real estate marketers already hold — systems, exports, APIs — and score each axis for demand and defensibility.
- Week 2
Contract and template design
The data contract is written and the first template is designed against real rows, not placeholders.
- Weeks 3–5
First tranche live
93–217 URLs published with schema, internal links, sitemap entries and IndexNow.
- Weeks 6–9
Read, widen, hand over
Indexation and impression data decides what widens and what gets cut. Templates, gates and runbook transfer to you.
Neighbourhood pages outliving 40,000 listings
- Setup
- A brokerage whose entire organic footprint was listing URLs with a median lifespan of 71 days.
- Mechanism
- We built 620 neighbourhood and trend pages from registry and census data, then linked live listings into them and applied lifecycle rules to expiring URLs.
- Result
- Organic traffic stopped tracking listing volume; the durable layer carried 74% of organic sessions within six months.
Cases where we will not take the build
- Your MLS / Rightmove / Zillow feeds data has fewer than 400 usable rows — a hand-written hub will outperform a thin page family.
- The query shape is dominated by one brand's own properties and no third party ranks on page one.
- There is no valuation enquiry destination, so the pages would earn traffic you cannot bank.
- You want volume as the goal. We size to evidence, and evidence usually caps the count lower than you hoped.
Buy the whole build, or one piece of it
Buying questions real estate marketers ask us
Pilot engagements start at $4,200 and cover the audit, contract, one template family and a gated first tranche. A full build for the 620-URL surface starts at $10,900. Pricing is fixed at proposal — we do not bill by page or by hour.
Other seats we scope builds for
Want the real estate marketers surface scoped before you build it?
We'll audit the data source, size the first batch, set the performance budget and tell you honestly if programmatic is the wrong tool for your category.
