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Programmatic Seo

CommunityPopular
coreyhaines31
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," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy.

Overview

Publishercoreyhaines31
Repositorymarketingskills
Skill nameprogrammatic-seo
Stars
50.7K
Forks
7.7K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Programmatic Seo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/coreyhaines31/marketingskills.git /tmp/marketingskills
mkdir -p .claude/skills
cp -r /tmp/marketingskills/skills/programmatic-seo .claude/skills/programmatic-seo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Programmatic Seo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Programmatic Seo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Programmatic Seo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), 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

Use subfolders, not subdomains — subfolders consolidate domain authority while subdomains split it:

  • 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)

PlaybookPatternExample
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"
TranslationsContent in multiple languagesLocalized content
Directory"[category] tools""ai copywriting tools"
Profiles"[entity name]""stripe ceo"

For detailed playbook implementation: See references/playbooks.md


Choosing Your Playbook

If you have...Consider...
Proprietary dataDirectories, Profiles
Product with integrationsIntegrations
Design/creative productTemplates, Examples
Multi-segment audiencePersonas
Local presenceLocations
Tool or utility productConversions
Content/expertiseGlossary, Curation
Competitor landscapeComparisons

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: For adding structured data
  • site-architecture: For page hierarchy, URL structure, and internal linking
  • competitors: For comparison page frameworks

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Programmatic Seo AI 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," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy.

Why use Programmatic Seo on TypingMind?

Because you install it once and use it with any model. Programmatic Seo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Programmatic Seo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/marketingskills/tree/main/skills/programmatic-seo. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Programmatic Seo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Programmatic Seo?

As many as you like. As long as a model supports skills, you can use Programmatic Seo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Programmatic Seo AI skill free?

Yes. It is published on GitHub by coreyhaines31 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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