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Generative engine optimization (GEO) v1.0.0

Use this resource to gain visibility in AI search answers

New

  • 390 downloads
  • 119 likes
  • 144 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-search-visibility-geo

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 reviews how AI engines retrieve and cite content, then proposes best practices, citable content and crawler settings. You get a GEO strategy and a list of actions.

Mostly picked by

Updated November 2, 2026

Card for the “Generative engine optimization (GEO)” skill

Details

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

Similar resources

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What you get

  • SKILL.md: GEO versus SEO and AI platforms
  • SKILL.md: how retrieval works and AI crawlers
  • SKILL.md: content best practices and pointers to related skills

Good fit for

  • Your competitors are cited by ChatGPT and you are not
  • You want to be cited in Google's AI Overviews

Not for

    Tags

    • geo
    • ai search
    • perplexity
    • citations

    About

    You say

    “Analyse why Perplexity does not cite my tax-advice site and propose fixes.”

    Card for the “Generative engine optimization (GEO)” skill

    Skill published by kostja94 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 gain visibility in AI search answers
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md11.5 KB

    Origin and licence

    Listed unmodified

    Author
    kostja94
    Source
    github.com/kostja94/marketing-skills/tree/45143a7d6d8f92fc9048aa4f3074a26272bd0d2a/skills/strategies/commercial/geo
    Licence
    MIT

    Notice

    « generative-engine-optimization » (kostja94, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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