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iblai-marketing-programmatic-seo

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UpdatedMay 12, 2026 at 16:08

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 iblai-marketing-seo-audit. For content strategy planning, see iblai-marketing-content-strategy.

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name	iblai-marketing-programmatic-seo
description	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 iblai-marketing-seo-audit. For content strategy planning, see iblai-marketing-content-strategy.
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/iblai-marketing-programmatic-seo

Build SEO-optimized pages at scale with templates and data. Pages must rank, deliver value, and dodge thin-content penalties.

Step 0: Context Check

Read .agents/product-marketing-context.md (or .claude/product-marketing-context.md on older setups) first. Only ask for what isn't there.

Pin down before designing:

Business context
- Product/service
- Target audience
- Conversion goal for these pages
Opportunity assessment
- Search patterns that exist
- Potential page count
- Search volume distribution
Competitive landscape
- Who ranks for these terms now
- What their pages look like
- Whether you can realistically compete

Core Principles

Unique value per page. Every page provides value specific to it. Not just swapped variables in a template. Maximize unique content.
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)
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/
Genuine search intent match. Pages actually answer what people are searching for.
Quality over quantity. 100 great pages beat 10,000 thin ones.
Avoid Google penalties. No doorway pages. No keyword stuffing. No duplicate content. Genuine utility for users.

The 12 Playbooks

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"

Detailed playbook implementation: 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

Layer multiple playbooks (e.g., "Best coworking spaces in San Diego").

Implementation Framework

1. Keyword Pattern Research

Identify the pattern:

Repeating structure?
Variables?
Number of unique combinations?

Validate demand:

Aggregate search volume
Volume distribution (head vs. long tail)
Trend direction

2. Data Requirements

What data populates each page?
First-party, scraped, licensed, or 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:

Unique value per page
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 the 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 the 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

Keyword patterns you're targeting?
Data you have (or can acquire)?
How many pages are you planning?
Site authority?
Who currently ranks for these terms?
Technical stack?

Related Skills

iblai-marketing-seo-audit: Auditing programmatic pages after launch
iblai-marketing-schema-markup: Adding structured data
iblai-marketing-site-architecture: Page hierarchy, URL structure, internal linking
iblai-marketing-competitor-alternatives: Comparison page frameworks

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