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Visibility in AI assistant answers v1.0.0

Use this resource to improve a product's presence in AI assistant answers

New

  • 441 downloads
  • 175 likes
  • 208 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install answer-engine-optimization

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 defines the buying context, builds a portfolio of buyer questions, checks that pages are accessible and analyzes the answers and cited sources. It turns this into ranked actions, content briefs and a measurement plan. It flags assumptions and never invents results.

Updated November 2, 2026

Table of buyer-question cohorts and the measurement loop: question, observed answer, gap, improved page, new measurement.

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: the 7-step loop
  • Three question cohorts (discovery, alternatives, brand) and their measurement rules
  • A gap diagnosis table with matching actions
  • A dataset template: prompts, observations, actions and outcomes

Good fit for

  • Defining a visibility strategy in ChatGPT, Perplexity or Gemini
  • Preparing a baseline audit for a client
  • Deciding which pages to fix or create to answer buyer questions

Not for

  • Classic keyword-only SEO
  • Guaranteed results or a fixed ranking in an AI
  • Generating fake reviews or bought links

Tags

  • aeo
  • geo
  • ai search
  • visibility
  • content

About

You say

"Build an AI answer visibility strategy for my loose-leaf tea shop, with 20 questions from buyers who don't know me."

Table of buyer-question cohorts and the measurement loop: question, observed answer, gap, improved page, new measurement.

Skill published by fcakyon under the Apache-2.0 license.

Show more

Prerequisites

You bring
Your site address and a description of your offer and Your analytics or monitoring exports, if you have any

How to use it

  1. Describe your product, your market, your site and the customer action you want.
  2. The agent proposes the question portfolio and the collection plan, without inventing observations.
  3. Apply the ranked actions, then measure again on the same core set of questions.

Content preview

Files

  • LICENSE11.1 KB
  • NOTICE-PALATEKIT.md0.4 KB
  • SKILL.md14.8 KB

Origin and licence

Modified by PalateKit

Author
fcakyon
Source
github.com/fcakyon/claude-codex-settings/tree/f44ddce6a3e4ad8f868da4f0ec363f3cb0b20dfc/plugins/aeo/skills/aeo
Licence
Apache-2.0

Notice

Version modifiée de « aeo » (fcakyon, Apache-2.0) : traduction française et fiche par PalateKit.

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Frequently asked questions

Do I need paid tracking tools?

No. The method starts from your existing data or a small manual sample. It mentions two optional extensions (seo-skills, google-telemetry) without depending on them.

Does it guarantee citations by AI?

No. The skill treats growth figures as hypotheses and keeps visibility, visits and customer outcomes separate.