programmatic-seo

Programmatic SEO guides the creation of large numbers of SEO-optimized pages automatically using templates and structured data, rather than writing each page by hand. It targets the classic weakness of 'mail merge' programmatic SEO, where one rigid template with swapped variables produces low-differentiation, thin-feeling URLs, and instead promotes responsibly using AI on top of the same data spine to scale per-URL customization: intent-aligned copy, section depth, FAQs, tone, and localization, while keeping facts grounded in the data layer.

The skill defines programmatic SEO around a three-part framework of templates, structured data, and automation, with an optional AI layer that generates varied copy from grounded row inputs without inventing numbers. It contrasts rigid versus AI-enhanced approaches, stressing evidence blocks, data strength tiers, E-E-A-T, selective indexation, and technical SEO fundamentals like URLs, schema, and Core Web Vitals. Its centerpiece is a page playbook matrix that maps search patterns and keyword intents (alternatives and comparisons, integrations, category and catalog, glossary, FAQ, how-to, tools, use cases, migration, campaign landing pages, docs, social proof, and more) to specific downstream page-generator skills and their reference paths. It also flags page types that are usually not good candidates for mass generation, such as brand, legal, and most utility pages, and reads optional project-context files to align playbooks with the product and ideal customer profile.

The intended users are SEO practitioners, growth marketers, and engineers building location pages, comparison pages, integration pages, glossaries, and other long-tail content at scale who want a defensible, quality-over-quantity approach and a clear map to the right generator skill for each page type.