programmatic-seo
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
Best use case
programmatic-seo is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
Teams using programmatic-seo should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/programmatic-seo/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How programmatic-seo Compares
| Feature / Agent | programmatic-seo | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Programmatic SEO You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties. ## Initial Assessment **Check for product marketing context first:** If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task. Before designing a programmatic SEO strategy, understand: 1. **Business Context** - What's the product/service? - Who is the target audience? - What's the conversion goal for these pages? 2. **Opportunity Assessment** - What search patterns exist? - How many potential pages? - What's the search volume distribution? 3. **Competitive Landscape** - Who ranks for these terms now? - What do their pages look like? - Can you realistically compete? --- ## Core Principles ### 1. Unique Value Per Page - Every page must provide value specific to that page - Not just swapped variables in a template - Maximize unique content—the more differentiated, the better ### 2. Proprietary Data Wins Hierarchy of data defensibility: 1. Proprietary (you created it) 2. Product-derived (from your users) 3. User-generated (your community) 4. Licensed (exclusive access) 5. Public (anyone can use—weakest) ### 3. Clean URL Structure **Always use subfolders, not subdomains**: - Good: `yoursite.com/templates/resume/` - Bad: `templates.yoursite.com/resume/` ### 4. Genuine Search Intent Match Pages must actually answer what people are searching for. ### 5. Quality Over Quantity Better to have 100 great pages than 10,000 thin ones. ### 6. Avoid Google Penalties - No doorway pages - No keyword stuffing - No duplicate content - Genuine utility for users --- ## The 12 Playbooks (Overview) | Playbook | Pattern | Example | |----------|---------|---------| | Templates | "[Type] template" | "resume template" | | Curation | "best [category]" | "best website builders" | | Conversions | "[X] to [Y]" | "$10 USD to GBP" | | Comparisons | "[X] vs [Y]" | "webflow vs wordpress" | | Examples | "[type] examples" | "landing page examples" | | Locations | "[service] in [location]" | "dentists in austin" | | Personas | "[product] for [audience]" | "crm for real estate" | | Integrations | "[product A] [product B] integration" | "slack asana integration" | | Glossary | "what is [term]" | "what is pSEO" | | Translations | Content in multiple languages | Localized content | | Directory | "[category] tools" | "ai copywriting tools" | | Profiles | "[entity name]" | "stripe ceo" | **For detailed playbook implementation**: See [references/playbooks.md](references/playbooks.md) --- ## Choosing Your Playbook | If you have... | Consider... | |----------------|-------------| | Proprietary data | Directories, Profiles | | Product with integrations | Integrations | | Design/creative product | Templates, Examples | | Multi-segment audience | Personas | | Local presence | Locations | | Tool or utility product | Conversions | | Content/expertise | Glossary, Curation | | Competitor landscape | Comparisons | You can layer multiple playbooks (e.g., "Best coworking spaces in San Diego"). --- ## Implementation Framework ### 1. Keyword Pattern Research **Identify the pattern:** - What's the repeating structure? - What are the variables? - How many unique combinations exist? **Validate demand:** - Aggregate search volume - Volume distribution (head vs. long tail) - Trend direction ### 2. Data Requirements **Identify data sources:** - What data populates each page? - Is it first-party, scraped, licensed, public? - How is it updated? ### 3. Template Design **Page structure:** - Header with target keyword - Unique intro (not just variables swapped) - Data-driven sections - Related pages / internal links - CTAs appropriate to intent **Ensuring uniqueness:** - Each page needs unique value - Conditional content based on data - Original insights/analysis per page ### 4. Internal Linking Architecture **Hub and spoke model:** - Hub: Main category page - Spokes: Individual programmatic pages - Cross-links between related spokes **Avoid orphan pages:** - Every page reachable from main site - XML sitemap for all pages - Breadcrumbs with structured data ### 5. Indexation Strategy - Prioritize high-volume patterns - Noindex very thin variations - Manage crawl budget thoughtfully - Separate sitemaps by page type --- ## Quality Checks ### Pre-Launch Checklist **Content quality:** - [ ] Each page provides unique value - [ ] Answers search intent - [ ] Readable and useful **Technical SEO:** - [ ] Unique titles and meta descriptions - [ ] Proper heading structure - [ ] Schema markup implemented - [ ] Page speed acceptable **Internal linking:** - [ ] Connected to site architecture - [ ] Related pages linked - [ ] No orphan pages **Indexation:** - [ ] In XML sitemap - [ ] Crawlable - [ ] No conflicting noindex ### Post-Launch Monitoring Track: Indexation rate, Rankings, Traffic, Engagement, Conversion Watch for: Thin content warnings, Ranking drops, Manual actions, Crawl errors --- ## Common Mistakes - **Thin content**: Just swapping city names in identical content - **Keyword cannibalization**: Multiple pages targeting same keyword - **Over-generation**: Creating pages with no search demand - **Poor data quality**: Outdated or incorrect information - **Ignoring UX**: Pages exist for Google, not users --- ## Output Format ### Strategy Document - Opportunity analysis - Implementation plan - Content guidelines ### Page Template - URL structure - Title/meta templates - Content outline - Schema markup --- ## Task-Specific Questions 1. What keyword patterns are you targeting? 2. What data do you have (or can acquire)? 3. How many pages are you planning? 4. What does your site authority look like? 5. Who currently ranks for these terms? 6. What's your technical stack? --- ## Related Skills - **seo-audit**: For auditing programmatic pages after launch - **schema-markup**: For adding structured data - **competitor-alternatives**: For comparison page frameworks
Related Skills
programmatic-claude
Run Claude Code programmatically via CLI (-p flag), Python SDK, or TypeScript SDK. For automation, CI/CD, session chaining, headless execution, and orchestrating multiple Claude instances. Triggers: programmatic, headless, CLI automation, session chaining, -p flag, Python SDK, orchestrate Claude, CI/CD Claude, run Claude automatically.
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
moai-lang-r
R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.
moai-lang-python
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
moai-icons-vector
Vector icon libraries ecosystem guide covering 10+ major libraries with 200K+ icons, including React Icons (35K+), Lucide (1000+), Tabler Icons (5900+), Iconify (200K+), Heroicons, Phosphor, and Radix Icons with implementation patterns, decision trees, and best practices.
moai-foundation-trust
Complete TRUST 4 principles guide covering Test First, Readable, Unified, Secured. Validation methods, enterprise quality gates, metrics, and November 2025 standards. Enterprise v4.0 with 50+ software quality standards references.
moai-foundation-memory
Persistent memory across sessions using MCP Memory Server for user preferences, project context, and learned patterns
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
moai-cc-claude-md
Authoring CLAUDE.md Project Instructions. Design project-specific AI guidance, document workflows, define architecture patterns. Use when creating CLAUDE.md files for projects, documenting team standards, or establishing AI collaboration guidelines.
moai-alfred-language-detection
Auto-detects project language and framework from package.json, pyproject.toml, etc.
mnemonic
Unified memory system - aggregates communications and AI sessions across all channels into searchable, analyzable memory
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems