How-To Guide 3: Build Programmatic SEO at Scale

Programmatic SEO creates hundreds of pages from a template + data. It works when each page provides genuine value. It backfires when pages are thin or duplicative.

# The pattern: Template + Data = Unique Pages
#
# Example: 'Digital Advertising Agencies in [City]'
# Template: Market analysis, local agencies, competitive landscape
# Data: City-specific agency databases, local market stats
# Value-add: Practitioner analysis specific to each market
#
# This is exactly what we built in the agency report:
# 411 agencies across 70 cities, each with unique analysis.
# That is programmatic SEO done correctly.

# Implementation with Python:
import jinja2

template = jinja2.Template(open('city_template.html').read())
cities = pd.read_csv('city_agency_data.csv')

for _, city in cities.iterrows():
html = template.render(
city_name=city['name'],
agencies=city['agencies'],
market_size=city['market_size'],
analysis=generate_ai_analysis(city)  # Unique AI analysis per city
)
with open(f'agencies-in-{city["slug"]}.html', 'w') as f:
f.write(html)