Fourteen locations does not mean fourteen copies of one page with the town name swapped. That is the exact pattern that gets filtered.
Below it, the location page does not generate.
Only areas with real demand get a page.
Divergence alerts instead of annual audits.
Map pack and enquiries by branch.
Modelled at current defaults: 149 indexed URLs → 159 enquirys per month.
Multi-location SEO is a duplication problem disguised as a scale problem. The winning structure crosses services against real service areas, and gives each page something locally true: the team at that branch, actual travel times, local pricing and availability, real reviews from that location, and area-specific context. Everything else — brand story, generic service explanation — stays on shared pages that are linked, not repeated.
Location pages that differ only in the town name, and rank for none of them.
Google Business Profile data and the website disagreeing about hours and services.
No idea which locations are actually visible in their own map pack.
Service × service-area pages built from the areas you genuinely cover, with travel times, local availability and area-specific context.
Branch team, opening hours, parking and transport, local reviews, area-specific pricing and photos taken at that location.
One source of truth feeding the site, Google Business Profile and directories, with divergence alerting rather than annual audits.
Map pack visibility, local ranking and enquiry volume per branch, so you can see which locations need work rather than a single blended number.
Real coverage areas per location, cross-checked with search demand and travel time so pages exist only where you can genuinely serve.
Service-area map with demand evidence.
These are patterns, not a keyword list. Each one multiplies against the entities in your own dataset — which is where a 240-URL first batch comes from.
Not yet. Fix the unchecked items first; publishing now would create pages we would later consolidate.
Multi-location service builds where conversion is a call or booked job. Indexation is held at a conservative 62%.
A model, not a forecast. Move the sliders to your own conversion economics — we will run the same maths against your data on the call.
| Dimension | The usual approach | With WpBulkPublishing |
|---|---|---|
| Location pages | Template with the town swapped | Six locally true facts minimum |
| Service areas | Every nearby town | Areas with demand and real coverage |
| NAP | Maintained in three places | One source, divergence alerted |
| Reporting | One blended number | Map pack and enquiries per branch |
We look at what local business owners already hold — systems, exports, APIs — and score each axis for demand and defensibility.
The data contract is written and the first template is designed against real rows, not placeholders.
36–84 URLs published with schema, internal links, sitemap entries and IndexNow.
Indexation and impression data decides what widens and what gets cut. Templates, gates and runbook transfer to you.
Partly — the service × area crossing still applies if you travel to customers. The multi-location machinery does not.
Each role gets its own data reality, its own template families and its own definition of a good outcome. Pick the seat you sit in.
We audit your data, size the first batch, model the economics and tell you honestly when programmatic is the wrong tool for the job.