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Automated Scale

Programmatic
SEO.

Why write 10 pages when you can generate 10,000? I build Python-driven content engines that leverage your proprietary data to dominate long-tail search queries at scale.

Start Building
Python + Next.js

import pandas as pd

import openai

from seo_engine import PageGenerator


# Load Dataset

df = pd.read_csv('locations_data.csv')

print(f"Loaded {len(df)} locations")


# Generate Pages

for index, row in df.iterrows():

slug = f"/best-coffee-in-{row['city']}"

content = generate_content(row)

PageGenerator.deploy(slug, content)

print(f"Deployed: {slug}")


> Deployed: /best-coffee-in-new-york

> Deployed: /best-coffee-in-london

> Deployed: /best-coffee-in-tokyo

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Perfect For...

Local Aggregators

"Best X in [City]". Capture traffic across thousands of geographic locations without writing manual copy for each one.

E-commerce Comparison

"[Product A] vs [Product B]". Automatically generate comparison pages based on spec sheets and user reviews.

Job Boards

"[Role] Jobs in [Industry]". Dynamic landing pages that update automatically as your database changes.

The Engineering Stack

This isn't a WordPress plugin. I build custom headless architectures that are fast, secure, and indexable.

  • Next.js / Astro Frontend
  • PostgreSQL / Supabase Database
  • OpenAI API / Claude Content Gen
100k+
Pages Indexed

Average project scale. We don't do small.