/seo-programmatic

name: seo-programmatic
description: >
  Programmatic SEO planning and analysis for pages generated at scale from data
  sources. Covers template engines, URL patterns, internal linking automation,
  thin content safeguards, and index bloat prevention. Use when user says
  "programmatic SEO", "pages at scale", "dynamic pages", "template pages",
  "generated pages", or "data-driven SEO".
user-invocable: true
argument-hint: "[url or plan]"
license: MIT
metadata:
  author: AgriciDaniel
  version: "2.2.4"
  category: seo

Programmatic SEO Analysis & Planning

Build and audit SEO pages generated at scale from structured data sources. Enforces quality gates to prevent thin content penalties and index bloat.

Data Source Assessment

Evaluate the data powering programmatic pages:

• **CSV/JSON files**: Row count, column uniqueness, missing values
• **API endpoints**: Response structure, data freshness, rate limits
• **Database queries**: Record count, field completeness, update frequency
• Data quality checks:
• Each record must have enough unique attributes to generate distinct content
• Flag duplicate or near-duplicate records (>80% field overlap)
• Verify data freshness; stale data produces stale pages

Template Engine Planning

Design templates that produce unique, valuable pages:

• **Variable injection points**: Title, H1, body sections, meta description, schema
• **Content blocks**: Static (shared across pages) vs dynamic (unique per page)
• **Conditional logic**: Show/hide sections based on data availability
• **Supplementary content**: Related items, contextual tips, user-generated content
• Template review checklist:
• Each page must read as a standalone, valuable resource
• No "mad-libs" patterns (just swapping city/product names in identical text)
• Dynamic sections must add genuine information, not just keyword variations

URL Pattern Strategy

Common Patterns

• `/tools/[tool-name]`: Tool/product directory pages
• `/[city]/[service]`: Location + service pages
• `/integrations/[platform]`: Integration landing pages
• `/glossary/[term]`: Definition/reference pages
• `/templates/[template-name]`: Downloadable template pages

URL Rules

• Lowercase, hyphenated slugs derived from data
• Logical hierarchy reflecting site architecture
• No duplicate slugs; enforce uniqueness at generation time
• Keep URLs under 100 characters
• No query parameters for primary content URLs
• Consistent trailing slash usage (match existing site pattern)

Internal Linking Automation

• **Hub/spoke model**: Category hub pages linking to individual programmatic pages
• **Related items**: Auto-link to 3-5 related pages based on data attributes
• **Breadcrumbs**: Generate BreadcrumbList schema from URL hierarchy
• **Cross-linking**: Link between programmatic pages sharing attributes (same category, same city, same feature)
• **Anchor text**: Use descriptive, varied anchor text. Avoid exact-match keyword repetition
• Link density: 3-5 internal links per 1000 words (match seo-content guidelines)

Thin Content Safeguards

Quality Gates

| Metric | Threshold | Action | |--------|-----------|--------| | Pages without content review | 100+ | ⚠️ WARNING: require content audit before publishing | | Pages without justification | 500+ | 🛑 HARD STOP: require explicit user approval and thin content audit | | Unique content per page | <40% | ❌ Flag as thin content (likely penalty risk) | | Word count per page | <300 | ⚠️ Flag for review (may lack sufficient value) |

Scaled Content Abuse: Enforcement Context (2025-2026)

Google's Scaled Content Abuse policy (introduced March 2024) saw major enforcement escalation in 2025:

• **June 2025:** Wave of manual actions targeting websites with AI-generated content at scale
• **August 2025:** Third-party/SEO-community reporting described stronger SpamBrain detection for AI-generated link schemes and content farms
• **Result:** Google reported 45% reduction in low-quality, unoriginal content in search results post-March 2024 enforcement

**Enhanced quality gates for programmatic pages:**

• **Content differentiation:** ≥30-40% of content must be genuinely unique between any two programmatic pages (not just city/keyword string replacement)
• **Human review:** Minimum 5-10% sample review of generated pages before publishing
• **Progressive rollout:** Publish in batches of 50-100 pages. Monitor indexing and rankings for 2-4 weeks before expanding. Never publish 500+ programmatic pages simultaneously without explicit quality review.
• **Standalone value test:** Each page should pass: "Would this page be worth publishing even if no other similar pages existed?"
• **Site reputation abuse:** Google clarified site reputation abuse language on 2024-11-19; treat third-party/hosted programmatic content as a policy risk.

> **Recommendation:** The WARNING gate at `<40% unique content` remains appropriate. Consider a HARD STOP at `<30%` unique content to prevent scaled content abuse risk.

Safe Programmatic Pages (OK at scale)

✅ Integration pages (with real setup docs, API details, screenshots) ✅ Template/tool pages (with downloadable content, usage instructions) ✅ Glossary pages (200+ word definitions with examples, related terms) ✅ Product pages (unique specs, reviews, comparison data) ✅ Data-driven pages (unique statistics, charts, analysis per record)

Penalty Risk (avoid at scale)

❌ Location pages with only city name swapped in identical text ❌ "Best [tool] for [industry]" without industry-specific value ❌ "[Competitor] alternative" without real comparison data ❌ AI-generated pages without human review and unique value-add ❌ Pages where >60% of content is shared template boilerplate

Uniqueness Calculation

Unique content % = (words unique to this page) / (total words on page) × 100

Measure against all other pages in the programmatic set. Shared headers, footers, and navigation are excluded from the calculation. Template boilerplate