
Programmatic SEO Analysis
FreeOptimize and audit SEO for large-scale generated pages.
Free Β· Opens the source repo
What Programmatic SEO Analysis does
Programmatic SEO Analysis & Planning is designed for developers and SEO specialists who need to create and manage SEO pages at scale from structured data sources. This skill provides a comprehensive framework for building and auditing programmatic pages, ensuring they meet quality standards and avoid penalties from search engines. By enforcing quality gates, it helps prevent issues such as thin content and index bloat, which can negatively impact search visibility.
The skill begins with a thorough assessment of the data sources powering your programmatic pages. It evaluates CSV and JSON files, API endpoints, and database queries for completeness and freshness. This ensures that the content generated is not only unique but also relevant and timely. The data quality checks include flagging duplicate records and verifying that each record has enough unique attributes to create distinct content, which is crucial for maintaining a high-quality user experience.
Next, the skill guides users through the process of designing effective templates that produce valuable pages. It emphasizes the importance of variable injection points, conditional logic, and supplementary content to enhance the uniqueness of each page. The URL pattern strategy outlined in the skill helps in creating logical, SEO-friendly URLs that adhere to best practices, ensuring that they are easily crawlable by search engines.
Additionally, the skill includes automation techniques for internal linking, which is essential for enhancing site navigation and distributing link equity across pages. It also sets stringent quality gates to safeguard against thin content, providing clear metrics for content review and approval. Overall, this skill is ideal for teams looking to scale their SEO efforts while maintaining high standards of quality and compliance with evolving search engine guidelines.
When to use it
Use this skill when developing or managing a large number of SEO pages from structured data sources.
When not to use it
This skill may not be suitable for small-scale SEO efforts or static pages where programmatic generation is not needed.
What you can build with it
Assessing Data Quality for SEO Pages
Evaluate the integrity and uniqueness of data sources before generating SEO pages to ensure high-quality content.
Designing SEO Templates
Create templates that dynamically generate unique content while adhering to SEO guidelines and best practices.
Implementing Internal Linking Strategies
Automate internal linking to enhance site navigation and improve SEO performance across generated pages.
How to install Programmatic SEO Analysis
View source1. Install with the skills CLI
npx skills add agricidaniel/claude-seo/seo-programmatic --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by agricidanielProgrammatic 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+ | β οΈ WARNING: require content audit before publishing |
| Pages without justification | 500+ | π HARD STOP: require explicit user approval and thin content audit |
| Unique content per page | <40% | β Flag as thin content (likely penalty risk) |
| Word count per page | <300 | β οΈ 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: β₯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 contentremains appropriate. Consider a HARD STOP at<30%unique content to prevent scaled content abuse risk.
Safe Programmatic Pages (OK at scale)
β Integration pages (with real setup docs, API details, screenshots) β Template/tool pages (with downloadable content, usage instructions) β Glossary pages (200+ word definitions with examples, related terms) β Product pages (unique specs, reviews, comparison data) β Data-driven pages (unique statistics, charts, analysis per record)
Penalty Risk (avoid at scale)
β Location pages with only city name swapped in identical text β "Best [tool] for [industry]" without industry-specific value β "[Competitor] alternative" without real comparison data β AI-generated pages without human review and unique value-add β Pages where >60% of content is shared template boilerplate
Uniqueness Calculation
Unique content % = (words unique to this page) / (total words on page) Γ 100
Measure against all other pages in the programmatic set. Shared headers, footers, and navigation are excluded from the calculation. Template boilerplate text IS included.
Canonical Strategy
- Every programmatic page must have a self-referencing canonical tag
- Parameter variations (sort, filter) canonical to the base URL when duplicate or low-value
- Paginated series: use self-canonical paginated pages when content differs; keep crawlable links
- If programmatic pages overlap with manual pages, the manual page is canonical
- No canonical to a different domain unless intentional cross-domain setup
Sitemap Integration
- Auto-generate sitemap entries for all programmatic pages
- Split at 50,000 URLs or 50MB uncompressed per sitemap file, whichever comes first (protocol limit)
- Use sitemap index if multiple sitemap files needed
<lastmod>reflects actual data update timestamp (not generation time)- Exclude noindexed programmatic pages from sitemap
- Register sitemap in robots.txt
- Update sitemap dynamically as new records are added to data source
Index Bloat Prevention
- Noindex low-value pages: Pages that don't meet quality gates
- Pagination: Reserve noindex/canonical consolidation for true duplicates or low-value filtered views
- Faceted navigation: Reserve noindex/canonical to base category for true duplicates or low-value filtered views
- Crawl budget: For sites with >10k programmatic pages, monitor crawl stats in Search Console
- Thin page consolidation: Merge records with insufficient data into aggregated pages
- Regular audits: Monthly review of indexed page count vs intended count
Output
Programmatic SEO Score: XX/100
Assessment Summary
| Category | Status | Score |
|---|---|---|
| Data Quality | β /β οΈ/β | XX/100 |
| Template Uniqueness | β /β οΈ/β | XX/100 |
| URL Structure | β /β οΈ/β | XX/100 |
| Internal Linking | β /β οΈ/β | XX/100 |
| Thin Content Risk | β /β οΈ/β | XX/100 |
| Index Management | β /β οΈ/β | XX/100 |
Critical Issues (fix immediately)
High Priority (fix within 1 week)
Medium Priority (fix within 1 month)
Low Priority (backlog)
Recommendations
- Data source improvements
- Template modifications
- URL pattern adjustments
- Quality gate compliance actions
Error Handling
| Scenario | Action |
|---|---|
| URL unreachable | Report connection error with status code. Suggest verifying URL accessibility and checking for authentication requirements. |
| No programmatic pages detected | Inform user that no template-generated or data-driven page patterns were found. Suggest checking if pages use client-side rendering or if the URL points to the correct section. |
| Thin content threshold exceeded | Trigger quality gate warning. Report the unique content percentage and flag pages below 40% uniqueness. Require user acknowledgment before proceeding. |
| Quality gate violation | Halt analysis at the HARD STOP threshold (500+ pages without justification or <30% unique content). Present findings and require explicit user approval to continue. |
Frequently asked questions about Programmatic SEO Analysis
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