A service × area matrix
Services and areas live as data in ACF. The combination makes the page; the team maintains just two lists.
A content architecture that turns 8 services and 59 areas of Buenos Aires into a site Google can index neighborhood by neighborhood, and one that already answers in ChatGPT, Copilot and Gemini.

01 – The challenge
Writing them by hand was never realistic. Generating them without judgment was worse: hundreds of near-identical pages are duplicate content that takes the whole domain down with it.
The multiplication
Services
Areas of Buenos Aires
Every cell is an area with its own text: its avenues, its kind of building, and the faults that actually turn up there.
02 – What we built
Services and areas live as data in ACF. The combination makes the page; the team maintains just two lists.
Every area brings its own references, avenues, building types, the faults seen there, so no page repeats another.
LocalBusiness and Service schema, internal links between neighboring areas, segmented sitemaps and clean canonicals.
Headings phrased as questions with direct answers under them: the shape an answer engine can quote.
03 – Results in 12 months
04 – AI search
The area pages are written so an assistant can quote them: one question per heading, a direct answer underneath, and service details marked up with schema.
Let's talk about your content architecture before writing the first page.