Claude Skill

programmatic-seo

Generate hundreds of structured pages from data (locations, integrations, glossaries, comparisons) with unique value per page. Use when a dataset can answer many long-tail queries.

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navinspire-ia/navin 31 4 forks AGPL-3.0 Updated 4d ago

Part of navinspire-ia/navin — 182 skills

Install

skills CLI npx skills add https://github.com/Navinspire-ia/navin/tree/main/navin/skills/programmatic-seo

Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install navinspire-ia-navin@llmmart

Git git clone https://github.com/Navinspire-ia/navin.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole navinspire-ia/navin collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Programmatic SEO

Overview

Data × template = long-tail coverage. Only works when each generated page has real unique value - thin duplicates get penalized.

Good pSEO patterns

{tool} vs {tool} comparisons
{service} in {city} local pages (with genuinely local data)
{term} glossary with rich definitions
{integration} + {product} pages
{template/example} galleries

Workflow

Validate the pattern: search 5 sample queries - is there long-tail demand and weak competition?
Build the dataset (CSV/JSON): one row per page with enough fields for uniqueness (≥40% unique content per page).
Design the template: title formula, H1, intro variables, data tables, FAQ, internal links to hub pages.
Generate with a script (exec + Python/Jinja or the site's SSG) - never hand-write 300 pages.
Ship in batches (50-100), monitor indexation before scaling.
Add hub/index pages linking to all generated pages.

Anti-patterns

Same paragraph with one swapped word across pages
Pages with no data behind them ("we serve " with nothing local)
Publishing 10,000 pages at once on a fresh domain

Rules

Every page must answer its query better than a generic page would.
Keep the dataset as the source of truth; regenerate, don't hand-edit.

Files (navin)

SKILL.md 1.5 KB

---
name: programmatic-seo
description: Generate hundreds of structured pages from data (locations, integrations, glossaries, comparisons) with unique value per page. Use when a dataset can answer many long-tail queries.
metadata: {"navin":{"emoji":"🏭","category":"seo"}}
---

# Programmatic SEO

## Overview

Data × template = long-tail coverage. Only works when each generated page has real unique value - thin duplicates get penalized.

## Good pSEO patterns

- `{tool} vs {tool}` comparisons
- `{service} in {city}` local pages (with genuinely local data)
- `{term}` glossary with rich definitions
- `{integration} + {product}` pages
- `{template/example}` galleries

## Workflow

1. Validate the pattern: search 5 sample queries - is there long-tail demand and weak competition?
2. Build the dataset (CSV/JSON): one row per page with enough fields for uniqueness (≥40% unique content per page).
3. Design the template: title formula, H1, intro variables, data tables, FAQ, internal links to hub pages.
4. Generate with a script (`exec` + Python/Jinja or the site's SSG) - never hand-write 300 pages.
5. Ship in batches (50-100), monitor indexation before scaling.
6. Add hub/index pages linking to all generated pages.

## Anti-patterns

- Same paragraph with one swapped word across pages
- Pages with no data behind them ("we serve {city}" with nothing local)
- Publishing 10,000 pages at once on a fresh domain

## Rules

- Every page must answer its query better than a generic page would.
- Keep the dataset as the source of truth; regenerate, don't hand-edit.