AI Workflow AutomationCase study

600+ location pages. Each one unique. Two human checkpoints.

A financial services company needed unique location pages for every city they serve across Texas. Manual estimate: over a year. Delivered in one month.

Built with
n8nClaudeAirtable
cashmaxtexas.com/locations/cashmax-texas-arlington
CashMax — Arlington, Texas location page (one of 600+)
1 / 600+
n8nClaudeAirtable

600+

Pages live

1,000+

Hours saved

1 month

Delivery time

2 humans

Quality checkpoints

01 / What was happening

Six hundred cities. One year of writing. Or twelve.

The company needed a landing page for every city they serve in Texas. Over 600 cities. Each page had to be unique, grounded in that city's census data, demographics, and market signals. Google penalises template swaps. Searchers see through them. The pages needed real local data and actual relevance to each community.

Writing 600 unique pages by hand? With a full-time writer, over a year. The agency running the project needed a fundamentally different approach.

Texas · 600+ cities
One page per city · 0 templates
02 / What we built

An AI research agent. Four steps. Per city.

Four steps run for every city before the page goes live. The research is what makes the page about Corpus Christi different from the page about Plano. Not the template. The data underneath.

01 · Real data
n8n

Census · Demographics

Census figures, median income, cost of living, population growth, local economic indicators. Verifiable numbers, not filler.

02 · Market research
n8n
Claude

Per-city signals

Local search demand, competitor presence, which offerings match that community's demographics.

03 · Unique content
Claude

Drafted with context

Using all that research as context, the AI writes a landing page. A page about Corpus Christi reads completely differently from a page about Plano.

04 · Publishing
Airtable

Review · Auto-publish

Pages flow through Airtable for review, then auto-publish to WordPress via Page Generator Pro. Over 600 pages through a single pipeline.

03 / What changed

One month. Two reviewers. Six hundred pages.

  • 600+unique, SEO-optimised pages live on the site.
  • 1,000+hours of development time saved.
  • 1 modelivery. Manual equivalent: over a year.
  • 2human checkpoints — content writer plus QA reviewer — on every page before it went live.
  • 0template swaps. Every page grounded in real data.
cashmaxtexas.com / locations
CashMax Texas — Arlington location page
1 of 600+ pages · live

05 / The lesson

Scale creates a quality problem.

The first fifty pages were easy to check. Page 400? Page 600? You need a system for reviewing the system's output, or quality degrades silently.

The human checkpoints weren't optional. They were the reason this worked. A writer caught local nuances the AI missed. A QA reviewer caught formatting issues that compounded across hundreds of pages.

The right answer is keeping humans in the loop at the points where they add the most value. Not at every step. Not at none.