Programmatic SEO
Quick answer
- 01What is it?
- Template-based page generation at scale for SEO. Data-driven content, internal linking architecture, and automated optimization for large-scale content operations. It stands out by giving search and SEO workflows a defined shape, so the agent asks for better context and returns a more usable result.
- 02Inputs
- Context for search and SEO workflows: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for search and SEO workflows: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add thatrebeccarae/claude-marketing --skill programmatic-seoSkill instructions
The instruction file for this skill. The skill also includes other files you need to install to use it.
Programmatic SEO
Generate thousands of targeted pages from data templates at scale.
Install
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/programmatic-seo ~/.claude/skills/
What Is Programmatic SEO
Creating large numbers of search-optimized pages from structured data + templates. Instead of writing each page manually, you define a template and populate it with data variations.
Examples of successful pSEO:
- Zapier: "[App A] + [App B] integrations" (25,000+ pages)
- Wise: "[Currency A] to [Currency B]" exchange rate pages
- NomadList: "[City] for digital nomads" with cost/weather/internet data
- Yelp: "[Business type] near [location]" listing pages
- Canva: "[Template type] templates" design pages
Use Cases
| Pattern | Template | Data Source | Pages |
|---|---|---|---|
| Integration pages | "[Your product] + [Partner]" | Partner/integration list | 100-5,000 |
| Location pages | "[Service] in [City/State]" | Location database | 500-50,000 |
| Comparison pages | "[Your product] vs [Competitor]" | Competitor list | 20-200 |
| Glossary/definitions | "What is [Term]?" | Industry term database | 200-2,000 |
| Template/example pages | "[Type] template" or "[Type] examples" | Template library | 100-1,000 |
| Tool pages | "[Metric] calculator" | Calculator variations | 50-500 |
| Stats pages | "[Topic] statistics [Year]" | Data sources | 50-500 |
Template Design
Page Template Structure
[H1: Dynamic title with primary keyword]
[Intro paragraph: 2-3 sentences with entity-specific context]
[Key data section: structured data unique to this entity]
[Comparison or context section: how this entity relates to others]
[FAQ section: 3-5 entity-specific questions]
[Related pages: internal links to related entities]
[CTA: conversion action relevant to search intent]
Quality Requirements
Every programmatic page MUST have:
- Unique title tag — not just "[Entity] | Site Name"
- Unique meta description — entity-specific, not templated
- Unique introductory content — at least 2-3 sentences unique per page
- Unique data — entity-specific numbers, facts, or comparisons
- Internal links — contextual links to related pages and hub pages
- Schema markup — appropriate structured data per page type
Anti-Patterns (Google Will Penalize)
- Doorway pages — thin pages with no unique value, just keyword variations
- Duplicate content — same paragraph on every page with only entity name swapped
- No user value — page exists for search engines, not humans
- Orphaned pages — no internal links pointing to them
- Auto-generated gibberish — AI-generated content without quality review
Internal Linking Architecture
Hub-and-Spoke Model
Hub page: "[Category] Guide" (high authority)
└── Spoke 1: "[Entity A] in [Category]"
└── Spoke 2: "[Entity B] in [Category]"
└── Spoke 3: "[Entity C] in [Category]"
(Each spoke links back to hub and to 3-5 related spokes)
Cross-Linking Rules
- Every programmatic page links to its hub page
- Every programmatic page links to 3-5 related pages
- Hub pages link to top 10-20 programmatic pages
- Related pages are based on semantic similarity, not alphabetical
- Use descriptive anchor text (not "click here" or entity name only)
Technical Implementation
| Approach | Best For | Stack |
|---|---|---|
| Static Site Generation (SSG) | <10,000 pages, infrequent data updates | Next.js, Astro, Hugo |
| Incremental Static Regeneration (ISR) | 10,000-100,000 pages, periodic updates | Next.js |
| Server-Side Rendering (SSR) | Dynamic data, real-time pricing | Next.js, Nuxt |
| Database-driven CMS | Non-technical team needs to manage | WordPress + custom post types |
Indexation Management
- Generate XML sitemap with all programmatic pages
- Submit sitemap to Google Search Console
- Monitor Index Coverage report for errors
- Use
noindexon thin pages until they have sufficient content - Set crawl rate appropriately (avoid overwhelming your server)
- Monitor crawl budget usage via server logs
Integration with Other Skills
- technical-seo-audit — Audit programmatic page health (indexation, speed, schema)
- schema-markup-generator — Generate appropriate schema per page type
- aeo-geo-optimizer — Optimize programmatic pages for AI citation
- seo-content-writer — Enhance template content quality
Supporting file: EXAMPLES.md
Programmatic SEO — Examples
Example 1: SaaS Integration Pages
Prompt
Build programmatic SEO for our SaaS tool. We have 500 integrations and want a page for each one targeting "[Our product] + [Integration] integration" keywords.
What the skill does
- Designs page template: H1 ("[Product] + [Partner] Integration"), intro paragraph, key features table, setup steps, use cases, FAQ, related integrations
- Identifies unique data per page: integration capabilities, setup time, data flow diagram, user count
- Creates internal linking: hub page ("All Integrations"), category pages ("CRM Integrations"), cross-links between related integrations
- Generates schema markup template (SoftwareApplication)
- Creates sitemap generation script and indexation monitoring plan
Example 2: Location-Based Landing Pages
Prompt
Create location pages for our plumbing service business. We serve 150 cities across 3 states.
What the skill does
- Designs template with location-specific content: "[Service] in [City]", local area description, service area map data, local testimonials, city-specific pricing factors
- Ensures unique content per page (population data, local regulations, seasonal considerations)
- Creates hub-and-spoke: state pages → city pages → service-specific pages
- Adds LocalBusiness schema with geo coordinates per city
- Warns against thin doorway pages — each must have genuine local value
Example 3: Competitor Comparison Pages
Prompt
Generate comparison pages for our product vs each of our 15 competitors. Target "[Our product] vs [Competitor]" keywords.
What the skill does
- Designs template: H1 comparison, feature comparison table, pricing comparison, pros/cons for each, use case recommendations, migration guide CTA
- Ensures each page has genuinely different content (different features compared, different positioning)
- Creates FAQ schema with comparison-specific questions
- Adds internal links between comparison pages and to main features/pricing pages
Supporting file: REFERENCE.md
Programmatic Seo Reference
Reference data, benchmarks, and platform-specific details for the Programmatic Seo skill.
Common questions
How do I install Programmatic SEO in Cursor, Claude Code, or Codex?
Run npx skills add thatrebeccarae/claude-marketing --skill programmatic-seo in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Programmatic SEO, not every skill in the repository.
Where does Programmatic SEO come from and what license is it under?
Programmatic SEO comes from the thatrebeccarae/claude-marketing repository on GitHub. That repository has 118 GitHub stars. The skill is published under the MIT license.
Prefer plain text? Read the Programmatic SEO guide as markdown.
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