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Product-led SEO v1.0.0

Use this resource to assess SEO for your model and design organic pages

New

  • 449 downloads
  • 125 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install product-led-seo-strategy

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent examines whether SEO fits your business, then helps design programmatic pages and a product-oriented approach, including for AI answer engines. You get a reasoned decision and the first projects to start.

Mostly picked by

Updated November 2, 2026

Card for the “Product-led SEO” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: product-led SEO framework
  • SKILL.md: decision criteria and success conditions

Good fit for

  • Your company must grow organic traffic without an ad budget
  • You hesitate to publish pages at scale

Not for

    Tags

    • seo
    • product
    • pages
    • organic traffic

    About

    You say

    “Tell me whether product-led SEO is worth it for our software comparison site.”

    Card for the “Product-led SEO” skill

    Skill published by pmprompt under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to assess SEO for your model and design organic pages
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.8 KB

    Origin and licence

    Listed unmodified

    Author
    pmprompt
    Source
    github.com/pmprompt/claude-plugin-product-management/tree/9b9a4929de8ce23617719402b43fe3e75be23c02/skills/product-led-seo
    Licence
    MIT

    Notice

    « product-led-seo » (pmprompt, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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