Generate thousands of SEO-optimized pages automatically
Using Claude Code + structured data files + Next.js, I build systems that create and rank hundreds or thousands of pages targeting long-tail keywords. Like HonestDoor's 14 million property pages. Or HashBuilds' 56+ pattern pages that rank individually.
You have valuable data - product catalogs, service areas, property listings, job postings, directories. Each could be its own landing page targeting specific keywords. But manually creating thousands of pages is impossible.
Traditional SEO means writing every page by hand. That caps you at maybe 50-100 pages. You miss out on thousands of long-tail keyword opportunities.
Programmatic SEO uses templates + data to automatically generate thousands of unique, SEO-optimized pages. Each page targets specific long-tail keywords, has unique content, and is discoverable by Google.
One template × 10,000 data points = 10,000 indexed pages ranking for different keywords.
The future of search isn't just Google - it's AI assistants. Programmatic SEO positions your content to be referenced, cited, and recommended by LLMs.
Large Language Models are trained on web content. The more structured, well-organized, and comprehensive your content is, the more likely it is to be included in their training data and retrievable through RAG (Retrieval-Augmented Generation) systems.
Programmatic pages have consistent structure, clear headings, and semantic HTML. This makes them easy for LLMs to parse, understand, and reference accurately when answering user questions.
When you have pages for every variation (every product, every location, every use case), you become the authoritative source. LLMs cite authoritative, comprehensive sources.
Each programmatic page has a unique URL that LLMs can cite. When users ask "find me X in Y", the LLM can point to your specific page with that exact information.
RAG systems fetch real-time web content. Your programmatically updated pages ensure LLMs always reference your latest data, not outdated information from their training cutoff.
When someone asks ChatGPT: "What are the best brutalist design patterns for web apps?"
ChatGPT gives a generic answer based on training data, with no specific resources or modern examples.
ChatGPT references HashBuilds' brutalism pattern page directly: "According to hashbuilds.com/patterns/brutalism, brutalist design emphasizes raw, unpolished aesthetics with exposed structure..."
Your page gets cited, you get traffic, you build authority.
When I build programmatic SEO systems, I optimize specifically for LLM discoverability:
Every page has a unique, descriptive title that signals exactly what content is on that page.
Proper heading hierarchy (H1, H2, H3), lists, and semantic tags make content easy for AI to parse and understand.
Structured data tells LLMs exactly what each piece of content represents (product, service, location, review, etc.)
Each page has a unique meta description summarizing the content - perfect for LLM snippets and citations.
Strategic internal linking creates a knowledge graph that LLMs can traverse to understand relationships between topics.
Right now, most businesses are optimizing for Google alone. But search behavior is shifting fast:
Programmatic SEO positions you for both traditional Google search AND LLM discovery. You're building assets that work today and will dominate tomorrow's AI-first search landscape.
HashBuilds itself is a programmatic SEO machine. Every design pattern is a data point that generates its own SEO-optimized page.
I maintain a patterns.md file with 56+ design patterns. Each pattern has metadata: name, description, use cases, keywords.
One Next.js dynamic route: /patterns/[slug]. This template renders any pattern by reading the data file.
Next.js automatically creates 56+ individual pages at build time. Each one is:
56+ pages ranking for terms like "brutalist design pattern", "glassmorphism UI", "cyberpunk aesthetic". Adding a new pattern to the .md file? New page generated instantly.
Each pattern page ranks for multiple related keywords:
56 patterns × 4-5 keyword variations each = 200+ keyword targets
Want to see it in action?
Browse the pattern library. Every card you see is a separate SEO-optimized page, auto-generated from structured data.
View Pattern Library →HonestDoor is a Canadian real estate data platform. They had property data for every address in Canada (14+ million properties). Each property could be its own landing page ranking for location-specific searches.
But creating 14 million pages manually? Impossible. They needed programmatic SEO.
/property/[address]Result: HonestDoor ranks for virtually every Canadian address search. Someone Googles "123 Main St Toronto property value"? HonestDoor appears. That's the power of programmatic SEO at scale.
[Address] + [City] + [State][Product] + [Brand] + [Location][Service] + in + [City/Zip][Job Title] + at + [Company] + [Location][Activity] + in + [Destination][Business Type] + in + [Location][Template] + for + [Use Case][Course] + for + [Skill Level][Product A] + vs + [Product B]I analyze your existing data (products, locations, services) to identify SEO opportunities. We map out keyword patterns and page structures that will capture maximum long-tail traffic.
Build the core page template using Next.js dynamic routes. This template will render unique content for each data point. Includes SEO optimization, schema markup, and internal linking logic.
Connect your data source (database, API, CSV, or structured .md files). Set up automatic page generation at build time. Configure sitemap generation for all pages.
Use Claude Code to generate unique content variations for each page. Add schema markup, meta descriptions, and internal links. Ensure every page has substantive, unique content.
Deploy to Vercel with automatic sitemap submission. Monitor indexing in Google Search Console. Set up analytics to track which pages are performing.
100 - 1,000 pages
Perfect for: Local businesses, small e-commerce, niche directories
10,000+ pages
Perfect for: Real estate platforms, large directories, comparison sites
Timeline: 2-4 weeks depending on complexity. Pricing varies based on data complexity and customization needs.
No - if done correctly. Google penalizes thin, duplicate content. Programmatic SEO done right creates unique, valuable pages. Each page must have substantial, unique content and serve a user need. I ensure every page passes Google's quality guidelines.
Initial indexing happens within days. Ranking depends on domain authority and competition. New sites: 3-6 months. Established sites with authority: 2-8 weeks for long-tail keywords to start ranking.
Any structured data works: product catalogs, location lists, service offerings, user-generated content. If you have it in a spreadsheet, database, or API, I can build pages from it. Even unstructured data can work - I'll help organize it.
Absolutely. That's the power of this system. Add a row to your data source, redeploy, and a new page appears. No manual coding needed. You can scale from 100 to 10,000 pages without rebuilding.
Pages update automatically on redeploy. If product pricing changes or locations update, the system regenerates affected pages. You can set up webhooks for automatic updates, or redeploy manually when data changes.
AI content farms create thin, low-quality content at scale. Programmatic SEO creates pages based on real data your business already has. Each page serves a genuine user need and provides unique value. Google loves this when done right.
Stop creating pages one by one. Build a system that generates thousands.
From $5k for 100-1,000 pages. 2-4 week delivery.
Want to see more examples? Browse our pattern library - every page is programmatically generated.