aeo-pack-ai-tools

Generate AI-tool visibility prompts for discovery, alternatives, and trust categories.

9|2|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/psyduckler/aeo-skills --skill aeo-pack-ai-tools
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aeo-pack-ai-tools
Source: https://github.com/psyduckler/aeo-skills/tree/main/aeo-pack-ai-tools
Command: npx skills add https://github.com/psyduckler/aeo-skills --skill aeo-pack-ai-tools

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The AEO pack provides a ready-to-use collection of prompts to help AI-tool brands quickly assess and compare visibility across answer engines, saving time on prompt crafting and experimentation.

Core Features & Use Cases

  • Ready-to-use prompts for AI-tool discovery, alternatives, pricing, accuracy, and vertical positioning.
  • Variable-driven prompts that adapt to your workspace context (task, competitor, use_case, domain).
  • Easy integration by merging the pack into your aeo.config.json workflow for automated benchmarking.

Quick Start

Install the aeo-pack-ai-tools using your skills manager and merge prompts into your workspace configuration.

Frequently Asked Questions about aeo-pack-ai-tools

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is AI-tool visibility benchmarking and when do I need it?

AI-tool visibility benchmarking assesses how your AI tool appears across answer engines. You need it to compare discovery, alternatives, and trust positioning against competitors without manually crafting prompts for each query category.

How do I track AI-tool visibility across answer engines?

You track AI-tool visibility by applying ready-to-use prompts across discovery, alternatives, pricing, accuracy, and vertical positioning categories. These variable-driven prompts adapt to your workspace context using task, competitor, use_case, and domain variables for rapid benchmarking.

How do I customize benchmarking prompts for different competitors and use cases?

You customize benchmarking prompts by injecting variables like task, competitor, use_case, and domain into pre-defined prompt templates. This variable-driven approach adapts the prompts to your specific workspace context for accurate brand monitoring.

Can I merge AI-tool visibility prompts into my existing aeo.config.json workflow?

Yes, you can merge the prompt-pack into your aeo.config.json workflow. The prompts are packaged with a defined schema, version, and metadata, allowing automated benchmarking and deployment by agents within your existing configuration.

Does this prompt-pack work for brand monitoring across different domains?

Yes, the prompt-pack works for brand monitoring across different domains by using a variable-driven schema. You define the specific domain and use_case variables, enabling the prompts to adapt and benchmark AI tools across various verticals and competitor sets.

What are the limitations of using a pre-packaged prompt schema for competitor benchmarking?

The limitation of using a pre-packaged prompt schema is that benchmarking is restricted to predefined discovery, alternatives, and trust categories. You must rely on the defined schema and metadata version rather than creating entirely custom prompt structures from scratch.