Programmatic SEO for Local Service Businesses
Local service businesses live and die by search rankings. A sign shop in Boca Raton needs to show up when someone searches "custom signs boca raton". But creating landing pages for every service + location combination manually? That's hundreds of pages.
I built an automated pipeline that mines keywords from Google Autocomplete, stores them in a database, and generates SEO-optimized Next.js pages.
The Strategy
- Mine keywords from Google Autocomplete for service + location combinations
- Store and dedupe in PostgreSQL
- Group keywords by service type and location
- Generate pages when a group has enough keywords
- Auto-deploy via Git push to Vercel
Mining Keywords from Google Autocomplete
Google Autocomplete is a goldmine. Each query returns 8-10 suggestions. Run 25 queries and get ~200 keywords per batch.
async function getAutocompleteSuggestions(query) {
const url = `http://suggestqueries.google.com/complete/search?client=firefox&q=${encodeURIComponent(query)}`;
const response = await fetch(url);
const data = await response.json();
return data[1] || [];
}
Results
For a sign shop targeting Palm Beach County:
- 300+ keywords mined from Google Autocomplete
- 25+ SEO pages generated automatically
- Coverage: 8 locations × multiple services
- Time spent: Initial setup only—runs on autopilot
Building automated systems that grow your business while you sleep—that's the byldr way.
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