Construction search is code and capability search: what is permitted, what a build type costs, who has done it before in this jurisdiction. Codes and project histories are structured, jurisdictional and constantly updated — precisely the conditions where programmatic beats manual writing.
Start where your operational data is already clean — that is where the first batch pays for itself.

Portfolio sites with a gallery and a contact form. They rank for the practice name and nothing else, while every specification and code query goes to a forum.
Before anything is generated we rank the page families by intent, competitive difficulty and how complete your data is. Build order follows this table, not keyword volume.
| Page family | Representative query | Intent | Difficulty | Build priority |
|---|---|---|---|---|
{Build Type} /{build-type}/{jurisdiction}/regulations | construction & architecture building regulations | Comparison | Medium | 100 |
Cost /cost/{build-type}/{region} | how much does construction & architecture cost per m2 | Informational | Medium | 92 |
Projects /projects/{type}/{location} | do I need planning permission for construction & architecture | Comparison | High | 76 |
Materials /materials/{material}/{application} | construction & architecture contractor experience | Transactional | High | 58 |
Your addressable surface is not a keyword list, it is a set of entity axes taken from your own data. Multiply them and you get the theoretical maximum; the index gate decides how much of it deserves a URL.
111 build type × 32 jurisdiction × 20 region × 9 typeProgrammatic pages are only as defensible as the data behind them. These are the sources we ingest before a template is written.
Type, scale, jurisdiction, materials, duration.
Capability proof that maps directly to how buyers search.
Requirements by jurisdiction and building type.
Jurisdictional pages need substantively different content, and codes provide it.
Cost per square metre by type and region.
The first question every client asks before enquiring.
LocalBusiness / ProfessionalService with areaServedBinds the practice to the jurisdictions it works in.
CreativeWork for projectsStructures the portfolio so projects are individually discoverable.
FAQPage with jurisdiction qualifiersPrevents code answers being generalised across jurisdictions.
Each template answers a different question. If two templates would answer the same one, we consolidate instead of publishing both.
/{build-type}/{jurisdiction}/regulations/loft-conversions/london/regulationsPermission and compliance research.
Codified regulation with citations.
Two things decide whether a scaled surface survives: how the URLs nest, and what stops a page being born when the data is not there.
IF unique_facts_from("Completed project registry") < 9SKIP — the URL is never generated. No page, no thin cluster, no cleanup later.
IF rows_from("Building code and regulation database") IS EMPTYRENDER parent hub instead and 301 the child pattern into it.
IF query_overlap(new_page, existing_page) > 0.7CONSOLIDATE — extend the existing URL rather than publishing a near-duplicate.
IF source_row.updated_at older than the refresh windowFLAG for regeneration; the page keeps serving but drops out of the priority sitemap.
IF schema fields cannot be filled from real dataOMIT the schema block. Markup never states something the visible page cannot.
IF page passes gate AND construction & architecture guardrails clearPUBLISH into the next release tranche, not all at once.
This is the actual gate we run before a URL is generated. Toggle what your page would have and watch the verdict change.
Borderline. A human reviews the sample page before the family ships.
Every construction & architecture page we generate has to clear 80 before it enters the sitemap. That single rule is why these sets survive scaled-content reviews.
Fixed scope, fixed price. You own the data contract, the templates and the pipeline at the end of the engagement.
A normalised schema across completed project registry, building code and regulation database, cost model data, with required fields, validation rules and the fill rate you need before generation starts.
One template per intent — /{build-type}/{jurisdiction}/regulations, /cost/{build-type}/{region}, /projects/{type}/{location}, /materials/{material}/{application} — each with its own H1 logic, fact blocks and internal-link rules.
The scoring rule that decides which of the ~639,360 theoretical combinations become URLs. Typically 29% clear it on the first pass.
LocalBusiness / ProfessionalService with areaServed + CreativeWork for projects + FAQPage with jurisdiction qualifiers generated from the same source fields the page renders, so markup and content can never disagree.
Hub, spoke and sibling links generated from the data relationships, not hand-maintained menus — no orphans at any tranche size.
Tranche-by-tranche publishing with indexation checkpoints, so the surface grows at a rate Google's scaled-content systems read as normal.
Regeneration triggers tied to source-data changes, plus lastmod handling so recrawls are earned rather than requested.
Search Console segmentation per pattern, so you can kill an underperforming template instead of guessing at the whole set.
Defaults are conservative starting points, not promises. Change every field to your own numbers — the formula is shown so you can check it.
Enquiry value reflects average project fee × win rate; substitute your own.
Delivery patterns from real builds, described by mechanism rather than by client name. We publish named results only with written permission and dated figures.
Clients arriving only via referral.
Build-type × jurisdiction regulation pages with cited code and process steps.
Captures the research phase months before the project brief exists.
Each niche gets its own data contract, query set and page blueprint — the category page is the map, these are the territories.
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It filters unaffordable enquiries, which is time saved. Ranges also anchor expectations before the first meeting.
Which is why they are versioned with review dates and archived rather than silently edited.
Anonymised type-and-scale records still demonstrate capability without identifying the client or the site.
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.