Programmatic SEO

Programmatic SEO, from Corey Haines' marketingskills collection (publisher coreyhaines31, MIT licence), teaches the agent to plan SEO pages built at scale from templates and data without producing thin content. It starts with business context, opportunity and competition, then applies core principles: unique value per page, a hierarchy of data defensibility (proprietary data beats public data), subfolders rather than subdomains, genuine search-intent match and quality over quantity. It maps twelve playbooks, including templates, curation, conversions, comparisons, locations, personas, integrations, glossary, directory and profiles, to what the business actually has, then covers keyword-pattern research, data requirements, template design, hub-and-spoke internal linking, indexation strategy, and pre- and post-launch quality checks.

Use it when you want many similar pages targeting a repeating keyword pattern, such as "[product] for [audience]" or "[X] vs [Y]". It is explicit about avoiding doorway pages, keyword stuffing and duplicate content. It produces a strategy document and page template rather than generating the pages themselves, and it defers audits of existing SEO to the seo-audit skill.

As a BusinessMCP playbook, the AI business analyst can check proposed page patterns against the workspace's Search Console queries and analytics before you commit to building them.