Programmatic SEO

Programmatic SEO

Production-grade framework for building SEO page sets at scale. Covers the full lifecycle from keyword pattern discovery through template design, data pipeline construction, quality assurance, and post-launch optimization. Designed for deployments ranging from 50 to 100,000+ pages.

Core Capabilities

• Opportunity assessment & playbook selection — validate demand, rate data sources (Tier S-F), score the competitive moat, then pick from 14 page-set playbooks via the selection matrix and the weighted build-vs-skip decision matrix.
• Keyword pattern mining — extract repeating [variable] structures, map head/torso/long-tail/zero-volume distribution, and classify search intent.
• Data pipeline design — source → extraction → transformation → enrichment → validation → publication, with per-record quality gates and per-data-type update cadence.
• Template architecture & quality control — 6-zone page structure, the 3-of-5 uniqueness rule, URL conventions, pre-publication QA, thin-content detection, and hub-and-spoke internal linking.
• Indexation & optimization — crawl-budget strategy, tiered indexation priority, IndexNow, phased launch sequence, post-launch metrics dashboard, and anti-pattern / penalty avoidance.

When to Use

Use this skill when:

• You have a repeating keyword pattern with 50+ variations
• You have (or can acquire) structured data to populate pages
• The search intent is consistent across variations
• Your domain has sufficient authority to compete

Do NOT use when:

• Each page requires unique editorial content (use content-creator instead)
• Total addressable pages < 30 (manual content is more effective)
• You lack a data source and would be generating thin placeholder content
• Your domain authority is below DR 20 and competitors are DR 60+

Clarify First

Before scoping the build, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Keyword pattern — the repeating [variable] structure with 50+ variations (drives keyword mining and template variables)
• Structured data source — the dataset that populates pages and its quality tier (drives the data pipeline and the 3-of-5 uniqueness rule; thin-content risk)
• Search intent — whether intent is consistent across all variations (drives playbook selection and template architecture)
• Domain authority & scale — your DR vs competitors and target page count (drives the build-vs-skip decision and indexation strategy)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start