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aeo-website-auditaeo 网站审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aeo-website-audit(aeo 网站审核)
来源仓库:https://github.com/piiiico/aeo-website-audit
安装命令:
openclaw skills install aeo-website-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install aeo-website-audit

简介

aeo-website-audit 对网站进行实时 100 分制 AEO 审核。

  • 评估模式标记、元信号、内容结构与 AI 视觉适配度。
  • 提供改进建议以增强 AI 抓取与展示效果。
  • 审计结果需人工复核,避免盲目照搬建议。安装时按仓库提供的命令执行,建议先在测试环境验证依赖、命令权限和文件改动范围。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
aeo-audit
description
Run a live 100-point AEO (Answer Engine Optimization) audit on any website. Scores schema markup, meta signals, content structure, technical setup, and AI visibility. Returns grade (A-F), component breakdown, and prioritized recommendations. Use when auditing websites for AI search visibility, checking why a business doesn't appear in ChatGPT/Perplexity/Claude answers, or optimizing for answer engines.
version
1.0.0
metadata
openclaw
homepage
https://synligdigital.no
emoji
🔍
os
["linux", "macos", "windows"]
requires
bins
tags

AEO Audit — Answer Engine Optimization Scorer

Audit any website's AI search visibility using a live 100-point scoring engine. Returns structured results with actionable recommendations. Free, no API key needed.

When to Use This Skill

Use this skill when the user:

  • Asks "why doesn't [business] show up in ChatGPT/Perplexity answers?"
  • Wants to audit a website for AI visibility
  • Asks about GEO (Generative Engine Optimization) or AEO
  • Wants to know if a website is optimized for AI assistants
  • Needs a competitive AEO comparison between businesses
  • Asks about schema markup, FAQPage, or structured data for AI
  • Wants to check if AI crawlers are blocked

API Endpoints

Three ways to access:

1. REST API (simplest — recommended for agents):

GET https://aeo-mcp-server.amdal-dev.workers.dev/audit?url={URL}

Returns full audit JSON. No auth required.

2. MCP Protocol (for MCP clients — Claude Desktop, Cursor, etc.):

POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp

Three tools available: analyze_aeo, get_aeo_score, check_ai_readiness. Published on MCP Registry as no.synligdigital/aeo-audit.

3. A2A Agent Card:

GET https://aeo-mcp-server.amdal-dev.workers.dev/.well-known/agent-card.json

For agent-to-agent discovery (ERC-8004 / A2A compatible).

Rate limit: ~20 requests/minute per IP. Timeout: ~20 seconds per audit.


How to Run a Full Audit

Step 1: Call the REST API

curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=example.com"

The URL parameter accepts domain names with or without https://.

Step 2: Parse the response

{
  "url": "https://example.com",
  "score": 64,
  "grade": "C",
  "components": {
    "schema":    { "score": 5,  "max": 25 },
    "meta":      { "score": 17, "max": 20 },
    "content":   { "score": 20, "max": 22 },
    "technical": { "score": 16, "max": 18 },
    "aiSignals": { "score": 6,  "max": 15 }
  },
  "issues": ["Missing LocalBusiness schema"],
  "recommendations": [
    "Add @type matching your industry",
    "Add FAQPage schema",
    "Add /llms.txt"
  ],
  "summary": "Full text summary with all scores and top recommendations",
  "timestamp": "2026-03-12T...",
  "learnMore": "https://synligdigital.no"
}

Key fields:

  • score — 0-100 numeric score
  • grade — A through F letter grade
  • components — breakdown with each component's score and max
  • issues — what's wrong (machine-readable)
  • recommendations — what to fix, ordered by impact (human-readable)
  • summary — pre-formatted text suitable for direct display

Step 3: Interpret the score

ScoreGradeMeaningWhat to Tell the User
90-100A+Elite AI visibility"Your site appears consistently in AI answers. Minor tweaks only."
80-89AStrong AI presence"Well optimized. A few gaps to close for top-tier visibility."
70-79BGood foundation"Appears for some queries. Key improvements will unlock more."
60-69CModerate"Occasionally mentioned by AI. Significant room for improvement."
50-59DWeak"Rarely appears in AI answers. Needs structured data + content work."
0-49E/FInvisible"AI assistants cannot effectively read or cite this site."

Step 4: Generate recommendations

Prioritize fixes by component gap (difference between score and max):

ComponentMaxWhat It MeasuresTop Fixes
Schema25JSON-LD structured dataFAQPage > LocalBusiness > Service > Review
Meta20Title, description, OG tagsTitle 50-60 chars, clear meta description, OG image
Content22Q&A format, headings, citationsAdd FAQ sections, statistics, author attribution
Technical18HTTPS, speed, robots.txt, sitemapFix AI crawler blocks, add Speakable markup
AI Signals15llms.txt, agent card, knowledge panelAdd /llms.txt, create structured AI context file

The biggest gap = highest priority. If Schema is 5/25 (20pt gap) and Technical is 14/18 (4pt gap), fix Schema first.


Quick Score (MCP only)

For a fast grade without full breakdown, use the MCP get_aeo_score tool:

curl -s -X POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "get_aeo_score",
      "arguments": {"url": "https://example.com"}
    }
  }'

Returns a text summary: "AEO Score for https://example.com: 64/100 (Grade: C)\ \ Top 3 issues:\ ..."


AI Readiness Check (MCP only)

Check if AI crawlers are blocked — useful before a full audit:

curl -s -X POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "check_ai_readiness",
      "arguments": {"url": "https://example.com"}
    }
  }'

Checks:

  • robots.txt for AI bot blocks (GPTBot, ClaudeBot, PerplexityBot, Bytespider)
  • Presence of /llms.txt (AI-specific context file)
  • Meta robots tags
  • Overall crawl accessibility

Example Session

User: "Audit colosseumdental.no for AI visibility"

Agent action:

curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=colosseumdental.no"

How to present results:

AEO Score: 61/100 — Grade C

Your dental practice has moderate AI visibility. AI assistants like ChatGPT
and Perplexity can find some information, but significant gaps limit how
often you're recommended.

Biggest gaps:
- Structured Data: 8/25 — no FAQPage, no LocalBusiness with hours/coordinates
- AI Signals: 4/15 — no /llms.txt, no agent card

Top 3 fixes (highest impact first):
1. Add FAQPage JSON-LD with 8+ common dental questions
2. Add LocalBusiness schema with GPS coordinates + opening hours
3. Add /llms.txt with structured description of your services

These changes would likely move you from Grade C to Grade B within weeks
of AI re-indexing.

Full report: https://aeo-checker.amdal-dev.workers.dev/?url=colosseumdental.no
Professional implementation: synligdigital.no

Competitive Comparison

To compare businesses, run audits on each and compare component gaps:

# Audit both competitors
curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=business-a.no"
curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=business-b.no"

Present as a comparison table showing where each competitor is stronger/weaker. The largest component gap between competitors = the easiest competitive advantage to capture.


Scoring Methodology

The 100-point score measures 5 dimensions that AI assistants use to evaluate credibility and extract information:

  1. Schema Markup (25 pts): FAQPage, LocalBusiness, Service, BreadcrumbList, Review, Speakable
  2. Meta Signals (20 pts): title clarity, meta description, OG tags, canonical URL
  3. Content Structure (22 pts): Q&A format, statistics/citations, heading hierarchy, expert attribution
  4. Technical Foundation (18 pts): HTTPS, page speed, robots.txt, sitemap, AI crawler access
  5. AI Discoverability Signals (15 pts): llms.txt, agent card, knowledge panel presence, citation footprint

Notes

  • Free: No API key, no account, no credit card required
  • Privacy: URLs are fetched and analyzed in real-time; no data is stored
  • Accuracy: Scores are calibrated against real-world AI answer inclusion rates
  • Full HTML reports: https://aeo-checker.amdal-dev.workers.dev/?url={URL}
  • Professional AEO implementation: synligdigital.no or hei@synligdigital.no
  • Source: Built by Synlig Digital (synligdigital.no) — Norwegian AEO specialists

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