Programmatic SEO

SkillDev tools

Designs scaled content strategies producing hundreds or thousands of pages from structured data. Covers integrations

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Programmatic SEO skill

What this skill tells your AI

The instructions your AI receives, as published by matteotitta/genesys-skills in skills/primitives/seo-aeo/execution/programmatic-seo/SKILL.md and read by ahel’s review.

Design scalable content strategies that produce hundreds or thousands of search-optimized pages from structured data. Match data assets to one of 12 proven playbooks, then specify the schema, URL structure, templates, internal linking, and quality controls needed to ship without thin content. Output is a strategy document — not page copy. Hand off to /landing-page-copy or /aeo-content for execution.

Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)

Output complies with:

Refinements applied to this skill:

CodeRefinementHow it lands in programmatic-seo
R1Source placementStrategy doc → client-team review surface → cleaned tags in appendix toggle. Rendered template pages → end-customer-facing → no sources.
R3Product-update toneTemplate copy directions frame as capability-led.
R6CTA hierarchyPer-template CTA → sign-up primary for bottom-of-template, blog as fallback for top.
R7FAQ titles + no sources blockTemplate URL patterns use FAQ shape where applicable ("X vs Y", "How to do X with Y").
R8Entity-name headingsTemplate section headings repeat the variable entity name.
R9Action-oriented section names"How [Entity] works / How to choose [Entity]" — verb-led.
  • User asks for "programmatic SEO", "pSEO", "scaled content", "landing page factory", "comparison pages at scale", "[X] vs [Y] pages", "alternative pages strategy", or "template directory"
  • Client has structured data (integrations, locations, competitors, templates, glossary terms, entities) and wants traffic from long-tail patterned queries
  • Strategy needed before execution: schema, URLs, templates, linking, quality gates

Do NOT run when: single landing page (use /landing-page-copy), broad content strategy (use /aeo-content), competitor research only (use /competitor-research).

Full trigger list + flowchart: the premium reference.

Inputs

Required:

InputDescriptionSource
Business modelWhat the company doesUser provides
Data assetsWhat structured data exists or can be createdUser provides or discover

Recommended (improves quality): competitor pSEO examples, search demand data, ICP research, existing content audit. Optional input table + validation checklist: the premium reference.

Upstream skills: icp-behavioural, competitor-research, aeo-content (recommended, not required).

Steps

  1. Asset audit (Phase 1). Inventory existing or creatable structured data. Confirm business model + goal (traffic / conversions / authority). If inputs missing, ask before proceeding.
  2. Match data to playbooks (Phase 2.1). Use the 12-playbook matrix in the premium reference (Templates, Curation, Conversions, Comparisons, Examples, Locations, Personas, Integrations, Glossary, Translations, Directory, Profiles).
  3. Evaluate search demand (Phase 2.2). Research keyword patterns, estimate volume, assess difficulty. Never invent volume — flag as "estimated, validate with keyword research" if no data.
  4. Assess competitive landscape (Phase 2.3). Saturation, quality, authority, differentiation. Use find_similar_links_exa against client URL to surface competitor pSEO.
  5. Select 1-2 playbooks (Phase 2.4). Use the prioritization matrix (data readiness × demand × competition) in the premium reference. Recommend starting with one playbook before expanding.
  6. Design data schema (Phase 3.1). YAML schema for the entities powering pages. Example schemas per playbook: the premium reference.
  7. Define URL structure (Phase 3.2). Hyphenated, keyword-bearing, predictable. Pattern table per playbook in the premium reference.
  8. Specify template sections (Phase 3.3). Hero, quick answer, dynamic comparison/data block, use-case guidance, FAQ (with FAQ schema), CTA. Every page needs unique value, dynamic content, static framework, internal links, conversion path.
  9. Map internal linking (Phase 3.4). Hub-and-spoke — every page → category hub, related pages cross-link, footer/sidebar navigation.
  10. Specify schema markup (Phase 3.5). Pick primary + additional schema per playbook. JSON-LD templates: the premium reference. Schema-by-playbook table: the premium reference.
  11. Define quality controls (Phase 4). Word-count thresholds (Comparison ≥1,000 / Template ≥500 / Glossary ≥300 / Directory ≥400), differentiation requirements, maintenance schedule. Full thresholds + checks: the premium reference.
  12. Run self-evaluation. Completeness, evidence quality, guardrails, self-roast questions. Full protocol: the premium reference.
  13. Format output. Use the standard 7-section structure (Executive Summary → Asset Inventory → Playbook Recommendation → Architecture → Schema Plan → Quality Controls → Roadmap → Success Metrics). Full template: the premium reference.
  14. Present at Review Gate 2 (Standard). Actions: Approve / Validate demand / Pilot first. Recommend 10-page pilot before scaling to 100+.
  15. Suggest chain. "Ready to write template copy with /landing-page-copy?" / "Want to detail the data schema?" / "Audit competitor pSEO with /competitor-research?"

What good looks like

Evaluations (binary)

  • Playbook recommendation has explicit rationale (data readiness + demand + competitive gap)
  • Search demand estimated with basis, not invented
  • Data schema defined in YAML
  • URL pattern documented with example
  • Template sections specified (≥5 sections, mix of dynamic + static)
  • Internal linking architecture mapped
  • Schema markup types named per page type
  • Word-count thresholds set per page type
  • Differentiation requirements stated (no boilerplate-only)
  • Maintenance schedule named with triggers
  • No guaranteed rankings; thin-content risk flagged
  • Pilot of 10 pages recommended before scaling

Final ship gate

Run /premortem --output before ship. See /premortem skill for the 5 execution domains (will-it-resonate / will-it-convert / will-it-stay-on-brand / will-stakeholder-push-back / will-it-degrade-over-time) and output template.

Trivial-case escape: ## Premortem\nNo failure modes — trivial change satisfies the contract for genuinely trivial outputs.


Persuasion & stickiness pass

Output complies with persuasion-and-stickiness.md — Cialdini's 7 persuasion levers + Heath's SUCCESs. Deploy the 1-2 Cialdini levers that fit the reader's barrier (never all seven; every lever must be TRUE), run the SUCCESs diagnostic (Simple / Unexpected / Concrete / Credible / Emotional / Stories) over the near-final draft, then the rule's pre-ship gate.

Signals

GitHub stars
36
Forks
14
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
programmatic-seo-matteotitta
Source
github.com/matteotitta/genesys-skills