# ai.obaron/aeo

> Use this tool when you need to assess a website's AI readiness and identify areas for improvement. It scans any website and provides a 100-point score across 6 categories, delivering instant insights into AI adoption and optimization opportunities. Ideal for businesses and developers seeking to enhance their online presence and AI-driven capabilities.

Canonical page: https://skillsregistry.net/skills/ai-obaron-aeo  
JSON: https://api.skillsregistry.net/v1/skills/ai-obaron-aeo

## Description

Scan any website for AI readiness — 100-point score across 6 AEO categories in seconds.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.obaron%2Faeo)

## Use it

MCP endpoint published by the skill: `https://api.obaron.ai/aeo/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-obaron-aeo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-obaron-aeo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-obaron-aeo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt