/programmatic-seo

name: programmatic-seo
description: "Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention — enforcing hard quality gates against thin content and Google's Scaled Content Abuse policy (uniqueness thresholds, batch rollout limits, standalone value test). Produces a /100 scorecard with prioritized fixes and a progressive rollout plan. Triggers on \"/digital-marketing-pro:programmatic-seo\", \"plan programmatic landing pages\", \"audit our location pages\", \"will 5000 generated pages get us penalized\", \"design a template engine for pSEO\". Reads the brand profile and guidelines; plans and audits only — it does not generate or publish the pages."
argument-hint: "[URL or plan]"
user-invocable: true

/digital-marketing-pro:programmatic-seo

Purpose

Plan and audit SEO pages generated at scale from structured data sources (databases, APIs, CSV/JSON files). Enforces quality gates to prevent thin content penalties, index bloat, and Google's Scaled Content Abuse policy.

Input Required

The user must provide (or will be prompted for):

• **URL or data source**: Existing programmatic pages to audit, or data source details for planning
• **Page type**: What kind of pages are being generated (location, product, integration, glossary, template, tool)
• **Data source**: CSV/JSON files, API endpoints, database queries — or existing pages to analyze
• **Target scale**: How many pages will be generated
• **Current status**: New build or auditing existing programmatic pages

Process

1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply industry context and compliance rules. Check for brand guidelines at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json`. 2. **Data source assessment**: Evaluate the data powering programmatic pages — row count, column uniqueness, missing values, duplicate detection (>80% field overlap), data freshness 3. **Template engine planning**: Design templates that produce genuinely unique pages — variable injection points, content blocks (static vs dynamic), conditional logic, supplementary content. Validate each page passes the "standalone value test" 4. **URL pattern strategy**: Design URL hierarchy — lowercase hyphenated slugs, logical structure, uniqueness enforcement, under 100 characters, consistent trailing slash 5. **Internal linking automation**: Hub/spoke model, related items (3-5 per page), breadcrumbs with BreadcrumbList schema, cross-linking by shared attributes, varied anchor text 6. **Thin content safeguard check**: Apply quality gates (see below) 7. **Canonical strategy**: Self-referencing canonicals, parameter handling, pagination strategy, manual page priority 8. **Sitemap integration**: Auto-generate entries, split at 50K URLs, `<lastmod>` from actual data timestamps, exclude noindexed pages 9. **Index bloat prevention**: Noindex low-value pages, pagination handling, faceted navigation canonicalization, crawl budget monitoring for 10K+ pages 10. **Score and report**: Score each dimension, produce prioritized action plan

Quality Gates

Scale Thresholds

| 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 (penalty risk) | | Unique content per page | <30% | HARD STOP: scaled content abuse risk | | Word count per page | <300 | Flag for review (may lack sufficient value) |

Scaled Content Abuse Context (2025-2026)

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

• **June 2025**: Wave of manual actions targeting AI-generated content at scale
• **August 2025**: SpamBrain update enhanced pattern detection for AI-generated link schemes and content farms
• **Result**: 45% reduction in low-quality, unoriginal content in search results

**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+ simultaneously without 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**: Publishing programmatic content under a high-authority domain (not your own) may trigger site reputation abuse penalties (enforced aggressively since November 2024)

Safe vs Risky Programmatic Pages

**Safe 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 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) x 100

Measured against all other pages in the programmatic set. Shared headers, footers, and navigation excluded. Template boilerplate IS included.

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