Twelve locations, twelve reasons to be searched for.
The default failure of multi-location content is one good page copied eleven times with the town name swapped. Search engines discount it, assistants ignore it, and it makes the brand look like it has never been to eleven of those places.
Scale pushes you toward the one thing that does not work.
A single location can write about its area properly. Twelve cannot, not by hand, so the work gets templated: one guide, eleven find-and-replaces, published in an afternoon. It is the rational response to the resourcing and it is also the thing search engines are most reliably able to detect and discount.
Assistants are harsher still. A model composing an answer picks the passage that says something specific. Eleven near-identical pages give it nothing to pick, so it quotes whoever wrote about that town as though they had been there.
The constraint is not writing capacity. It is knowing what is genuinely different about each place, twelve times over.
Local demand per place, and a duplicate check that actually measures.
- 1
Local intent in every plan
One of six categories the weekly queue is balanced across, so a share of the plan is always about the place rather than the business.
- 2
Duplicates rejected by measurement
Term overlap against the queue, the existing site and the rest of the batch. Not a prompt asking a model politely not to repeat itself.
- 3
Assistants asked location by location
The tracked questions are yours, so 'best supplier near me' can be asked for each place you actually operate in.
- 4
Separate workspaces where they earn it
Locations with their own sites, competitors or offers get their own workspace. One brand on one domain usually does not need that.
Pages that are about somewhere.
Every line here describes something the software actually does. If one of them turns out not to be true of your setup, that is a bug and we want to hear about it.
Near-duplicates never reach the queue.
The check runs after the model rather than instead of it, so a batch that repeats itself is caught and topped up rather than silently delivering twelve variations of one idea.
A share of every week is local by construction.
The quota is enforced, not requested. Rows beyond an intent's allowance are dropped rather than inserted, so a queue cannot drift back to being all explainers.
Seasonality is filtered by market as well as by industry.
Occasions carry region tags, so a brand operating in three countries gets three different calendars rather than one generic list of world holidays.
Existing location pages are measured, not just new ones.
Every URL Search Console reports is scored by what there is to gain. On most multi-location sites the value is in the pages that already exist.
Publishing targets are per workspace.
Locations on separate WordPress installs publish to their own, from one account.
Being straight with you
- It does not manage Google Business Profiles, local pack rankings or review responses. Different category of tool.
- Within one workspace the competitor set is shared. A brand competing street by street rather than nationally should split locations into workspaces, which costs more.
- It has no store locator, no schema for individual premises beyond what a page carries, and no bulk page generator. It plans and writes; it does not template.
- It cannot tell you which locations are underperforming commercially, only which pages are underperforming in search.
Answers, Not Hedging.
Twenty minutes, your website on the screen.
Not a slide deck. We run the checks against your actual domain before the call and spend the time on what came back. If it turns out you do not need this, we will say so.