County government sits inside government & public sector, and inherits its search physics — but not its page set. Public-sector search is service-and-eligibility search: can I get this, where, how, and by when. For county government specifically, the surface is narrower and far more defensible: the queries carry the niche modifier, the buyer already knows what they want, and the competing pages are usually category-level content that never names the niche at all.
Freshness is a ranking asset here: build the refresh path before the first page ships.

PDF-first publishing. Every unstructured PDF is a service that a citizen cannot find, an assistant cannot cite, and a contact centre ends up answering by phone. In a county government build the trap is worse, because the addressable set is smaller: publishing the whole matrix regardless of data completeness leaves you with a thin cluster and nothing to consolidate into.
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 |
|---|---|---|---|---|
Services /services/{service}/{area} | how to apply for county government | Transactional | Low | 100 |
Eligibility /eligibility/{benefit} | am I eligible for county government | Commercial | Medium | 87 |
How To /how-to/{task} | county government opening times | Transactional | Low | 80 |
Data /data/{register} | county government processing time | Transactional | Low | 82 |
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.
66 service × 9 area × 18 benefit × 19 taskProgrammatic pages are only as defensible as the data behind them. These are the sources we ingest before a template is written.
Every service with eligibility, fees, processing times and channels.
Directly answers the citizen's question and reduces avoidable contact.
Wards, districts, catchment areas.
Most public-service eligibility is geographic.
Published statistics and registers.
Transparency pages that journalists, residents and assistants cite.
GovernmentService with serviceOperatorPurpose-built for public services and well understood by assistants.
Dataset for open dataMakes registers discoverable and citable.
HowTo for transactional tasksStep results reduce contact-centre load directly.
Each template answers a different question. If two templates would answer the same one, we consolidate instead of publishing both.
/services/{service}/{area}/services/bin-collection/ward-7Practical service lookup. Scoped to county government, so the modifier appears in the URL, the H1 and the data behind it.
Schedules and boundary data.
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("Service catalogue") < 10SKIP — the URL is never generated. No page, no thin cluster, no cleanup later.
IF rows_from("Geographic boundaries") 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 county government 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 county government 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 service catalogue, geographic boundaries, open data releases, with required fields, validation rules and the fill rate you need before generation starts.
One template per intent — /services/{service}/{area}, /eligibility/{benefit}, /how-to/{task}, /data/{register} — each with its own H1 logic, fact blocks and internal-link rules.
The scoring rule that decides which of the ~203,148 theoretical combinations become URLs. Typically 26% clear it on the first pass.
GovernmentService with serviceOperator + Dataset for open data + HowTo for transactional tasks 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.
Value per conversion is the avoided contact-centre cost — substitute your own cost-per-call figure. Sized down to a specialist county government operation rather than the whole category.
Delivery patterns from real builds, described by mechanism rather than by client name. We publish named results only with written permission and dated figures.
Service information locked in downloadable documents.
Service catalogue parsed into structured pages with eligibility, fees and steps, each with GovernmentService markup.
Citizens find answers in search; avoidable contact drops.
Indexation typically resolves within weeks; commercially meaningful movement on this kind of surface is a 90-to-180-day story. Anyone promising faster is describing brand traffic, not new demand.
The policy targets pages produced primarily to manipulate rankings with no value added. Every page here has to clear a minimum-facts gate drawn from service catalogue before it can publish, and pages that cannot clear it are never generated.
Fewer than most agencies quote. We size the first batch from your data completeness, not from a keyword export — for a county government operation that is usually a double-digit set of fully supported pages, expanded in tranches once indexation data comes back.
Agreed, which is why WCAG checks block publication rather than appearing in a report.
Effective-dated versioning means superseded content is archived, not silently overwritten.
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.