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Pseo strategy

Skill LeadMagic/gtm-skills/skills/content-seo/pseo-strategy

205 production GTM agent skills for Claude Code — sales, outbound, prospecting, RevOps, ABM, PLG, CS, automation. Framework-cited playbooks with artifacts + QA scripts.

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npx -y skills add LeadMagic/gtm-skills --skill pseo-strategy

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What its author says it does

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Programmatic SEO — build scalable, template-driven content pages for long-tail keywords. Triggers on: "pSEO", "programmatic SEO", "scalable SEO", "template SEO", "mass content generation".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Programmatic SEO (pSEO)

Overview

Programmatic SEO generates hundreds or thousands of pages from templates and data, targeting long-tail keywords at scale. "[Category] for [Industry]", "[Integration] + [Integration]", "[City] [Service]" — these patterns can generate massive organic traffic when done right, and penalties when done wrong.

Authoritative Foundations

  • Programmatic SEO Framework — Named methodology governing recommendations in this skill's process.
  • Animalz Content Strategy — Named methodology governing recommendations in this skill's process.
  • Google Search Central — SEO Starter Guide — SEO Starter Guide

When to Use

  • "Build programmatic SEO"
  • "pSEO strategy"
  • "Scale content with templates"
  • "Generate landing pages at scale"

Step-by-Step Process

Phase 1: pSEO Pattern Identification

Find patterns where template + data = unique valuable page:

Valid patterns:

  • "[Integration A] + [Integration B]" — 100 integrations → 10,000 potential pages
  • "[Category] for [Industry]" — 10 categories × 20 industries = 200 pages
  • "[Job Title] [Metric] Benchmarks" — 20 titles × 5 metrics = 100 pages
  • "[Tool] vs [Tool]" — 20 tools → 190 comparison pages
  • "Best [Category] for [Use Case]" — same math

Invalid patterns (will get penalized):

  • Thin content with no unique value
  • Near-duplicate pages with only city/name swapped
  • Auto-generated text without data
  • Pages that don't answer a real search query

Phase 2: Data Source Assembly

Each pSEO page needs real data:

  • Internal data: Your product usage data, customer data (anonymized), benchmarks
  • API data: Enrichment APIs, directories, databases
  • Public data: Government datasets, industry reports, open data
  • Scraped data: Competitor data, pricing, reviews (legal and ethical scraping only)

Phase 3: Template Design

Build a content template with:

  • Unique data fields: What changes per page (industry name, integration name, etc.)
  • Static content: What stays the same (product description, methodology, CTA)
  • Dynamic content rules: "If industry = healthcare, mention HIPAA compliance. If industry = fintech, mention SOC2."
  • Quality threshold: Minimum word count (500+), minimum data points (3+), unique value proposition per page

Phase 4: Indexation Strategy

Critical: not all pSEO pages should be indexed.

  • Index: Pages that provide unique value, have real data, and target search queries with volume
  • No-index: Pages with no search volume, thin content, or near-duplicate content
  • Canonical: Pages that are variations of a primary page should canonical to the primary

Start with 20-50 pages. Measure. If they rank and convert, scale to 200-500. If they don't, fix the template before scaling.

Phase 5: Quality & Safety

  • Human review: Every template gets human review before deployment. Every batch of generated pages gets spot-checked (10% sample).
  • Factual accuracy: Data must be verifiable. No hallucinated statistics.
  • Thin content prevention: Pages under 300 words get auto-no-indexed.
  • Duplicate detection: Content similarity check before publishing.
  • Gradual rollout: Deploy 10 pages → monitor 2 weeks → if no issues, deploy 50 → monitor 2 weeks → scale to full batch.

Output Format

pSEO strategy document with: pattern identification, data source inventory, template design, indexation rules, and quality control process.

Quality Check

Before delivering, verify:

  • All required sections are complete
  • Output matches the user's stated need
  • Named frameworks are cited for key recommendations
  • No vague claims — every recommendation has a specific action
  • Deliverable is ready for operational use, not just conceptual

Common Pitfalls

  1. Writing for search engines, not humans. Keyword-stuffed content that reads like a robot wrote it. Fix: write for your ICP first, optimize for search second.
  2. Publishing and praying. Creating content without a distribution plan. Fix: every piece gets a 30-day promotion calendar across email, social, and paid.
  3. Ignoring content freshness. 2-year-old content with outdated data and examples still ranking. Fix: quarterly content audit — update or retire stale pieces.

Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

Diagnostic Questions

  1. What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
  2. Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
  3. What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
  4. What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
  5. What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

  • Programmatic SEO Framework: apply only the part that directly improves the requested deliverable.
  • Animalz Content Strategy: apply only the part that directly improves the requested deliverable.
  • Google Search Central — SEO Starter Guide: apply only the part that directly improves the requested deliverable.

Deliverable Standard

A strong output from this skill includes:

  • A crisp diagnosis of the current situation
  • A recommended path with tradeoffs, not a generic list
  • A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan
  • A measurement plan with leading and lagging indicators
  • Risks and edge cases called out before execution

Adaptation Rules

  • For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.
  • For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.
  • For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

Execution Artifacts

  • references/framework-notes.md — Ahrefs pSEO patterns, Schwartz product-led gates, Pattern 25 routing
  • templates/output-template.md — Deliverable shell for agent output
  • scripts/check-output.py — Lightweight deliverable validator
  • references/seo-strategy-playbook.md — Repo root: §5 programmatic SEO and thin-content gates
  • skills/foundation/using-gtm-skills/SKILL.md — Pattern 25: B2B SEO Stack (step 3)

Related Skills

  • seo-strategy, aeo-strategy, content-marketing, list-building, data-enrichment-strategy

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