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已分析URL

https://nslookup.network/

分析另一个URL

AI-Ready评分

77 / B

良好

/ 100

Token节省量

HTML Token 3410
Markdown Token 37
节省 99%

评分详情

语义化HTML 100/100
内容效率 70/100
AI可发现性 50/100
结构化数据 85/100
可访问性 93/100

您的网站没有llms.txt文件。这是帮助AI代理理解网站结构的新兴标准。

如何实施

按照llmstxt.org规范创建/llms.txt文件。包含网站描述和关键页面的链接。

您的页面实际内容与总HTML的比率较低。页面重量的大部分是标记、脚本或样式而非内容。

如何实施

将CSS移至外部样式表,删除内联样式,最小化JavaScript,确保HTML专注于内容结构。

您的网站不支持Markdown for Agents。此Cloudflare标准允许AI代理以markdown格式请求内容,减少约80%的令牌使用。

如何实施

实现以下一项或多项:(1) 使用markdown内容响应Accept: text/markdown。(2) 提供.md URL(例如/page.md)。(3) 添加<link rel="alternate" type="text/markdown">标签。(4) 添加Link HTTP标头用于markdown发现。

未找到Content-Signal指令。这些指令告知AI代理如何使用您的内容(搜索索引、AI输入、训练数据)。推荐位置是robots.txt。

如何实施

将Content-Signal添加到您的robots.txt:User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no。也可以作为markdown响应的HTTP标头添加。

Markdown Token: 37
[

.Network

](https://nslookup.network/)

Language

## Minimal DNS and IP diagnostics suite.

Fast DNS over HTTPS queries with smart history and caching.

Domain or IP
NSlookup

[# NSlookup

.Network

](https://nslookup.network/)

Language 🇬🇧 EN English 🇬🇧 EN — English 🇪🇸 ES — Español 🇫🇷 FR — Français 🇩🇪 DE — Deutsch 🇮🇹 IT — Italiano 🇵🇹 PT — Português 🇰🇷 KO — 한국어 🇨🇳 ZH — 中文 🇯🇵 JA — 日本語

## Minimal DNS and IP diagnostics suite.

Fast DNS over HTTPS queries with smart history and caching.

Domain or IP

 Lookup

## Results

| Type | Name | TTL | Value |  |
| --- | --- | --- | --- | --- |

将此文件上传到服务器的/index.md,以便AI代理可以访问页面的干净版本。您也可以配置Accept: text/markdown内容协商以自动提供。

为此单页生成的llms.txt

下载llms.txt
# NSlookup.Network

> Fast DNS over HTTPS queries with smart history and caching.

## Main
- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.
- [About Us](https://nslookup.network/about/)
- [FAQ](https://nslookup.network/dns-faq/)
- [Last DNS search](https://nslookup.network/dns-history/)

完整llms.txt需要全域分析(即将推出)

将此文件上传到域名根目录的https://nslookup.network/llms.txt。ChatGPT、Claude和Perplexity等AI代理会检查此文件以了解您的网站结构。

语义化HTML

使用article或main元素 (100/100)

Has <main>

正确的标题层级 (100/100)

Clean heading hierarchy

使用语义化HTML元素 (100/100)

6 semantic elements, 10 divs (ratio: 38%)

有意义的图片alt属性 (100/100)

No images found

较低的div嵌套深度 (100/100)

Avg div depth: 1.0, max: 2

内容效率

良好的Token减少比率 (100/100)

99% token reduction (HTML→Markdown)

良好的内容与噪声比 (0/100)

Content ratio: 4.5% (679 content chars / 15155 HTML bytes)

最少的内联样式 (100/100)

0/112 elements with inline styles (0.0%)

合理的页面重量 (100/100)

HTML size: 15KB

AI可发现性

有llms.txt文件 (0/100)

No llms.txt found

有robots.txt文件 (100/100)

robots.txt exists

robots.txt允许AI机器人 (100/100)

All major AI bots allowed

有sitemap.xml (100/100)

Sitemap found

Markdown for Agents支持 (0/100)

No markdown content negotiation

有Content-Signal(robots.txt或HTTP标头) (0/100)

No Content-Signal header

结构化数据

有Schema.org / JSON-LD (50/100)

JSON-LD found but basic types: WebSite

有Open Graph标签 (100/100)

All OG tags present

有meta描述 (100/100)

Meta description: 59 chars

有规范URL (100/100)

Canonical URL present

有lang属性 (100/100)

lang="en"

可访问性

无需JavaScript即可获取内容 (100/100)

Content available without JavaScript

合理的页面大小 (100/100)

Page size: 15KB

内容在HTML中位置靠前 (75/100)

Main content starts at 24% of HTML

{
  "url": "https://nslookup.network/",
  "timestamp": 1771176827326,
  "fetch": {
    "mode": "simple",
    "timeMs": 94,
    "htmlSizeBytes": 15155,
    "supportsMarkdown": false,
    "statusCode": 200
  },
  "extraction": {
    "title": "NSlookup",
    "excerpt": "Fast DNS over HTTPS queries with smart history and caching.",
    "byline": null,
    "siteName": "NSlookup.Network",
    "lang": "en",
    "contentLength": 679,
    "metadata": {
      "description": "Fast DNS over HTTPS queries with smart history and caching.",
      "ogTitle": "NSlookup",
      "ogDescription": "Fast DNS over HTTPS queries with smart history and caching.",
      "ogImage": "https://nslookup.network/favicon.svg",
      "ogType": "website",
      "canonical": "https://nslookup.network",
      "lang": "en",
      "schemas": [
        {
          "@context": "https://schema.org",
          "@type": "WebSite",
          "name": "NSlookup.Network",
          "url": "https://nslookup.network/",
          "potentialAction": {
            "@type": "SearchAction",
            "target": {
              "@type": "EntryPoint",
              "urlTemplate": "https://nslookup.network/dns-lookup/{query}"
            },
            "query-input": "required name=query"
          }
        }
      ],
      "robotsMeta": null,
      "author": null,
      "generator": null
    }
  },
  "markdown": "[\n\n.Network\n\n](https://nslookup.network/)\n\nLanguage\n\n## Minimal DNS and IP diagnostics suite.\n\nFast DNS over HTTPS queries with smart history and caching.\n\nDomain or IP\n",
  "fullPageMarkdown": "NSlookup\n\n[# NSlookup\n\n.Network\n\n](https://nslookup.network/)\n\nLanguage 🇬🇧 EN English 🇬🇧 EN — English 🇪🇸 ES — Español 🇫🇷 FR — Français 🇩🇪 DE — Deutsch 🇮🇹 IT — Italiano 🇵🇹 PT — Português 🇰🇷 KO — 한국어 🇨🇳 ZH — 中文 🇯🇵 JA — 日本語\n\n## Minimal DNS and IP diagnostics suite.\n\nFast DNS over HTTPS queries with smart history and caching.\n\nDomain or IP\n\n Lookup\n\n## Results\n\n| Type | Name | TTL | Value |  |\n| --- | --- | --- | --- | --- |\n",
  "markdownStats": {
    "images": 0,
    "links": 4,
    "tables": 0,
    "codeBlocks": 0,
    "headings": 1
  },
  "tokens": {
    "htmlTokens": 3410,
    "markdownTokens": 37,
    "reduction": 3373,
    "reductionPercent": 99
  },
  "score": {
    "score": 77,
    "grade": "B",
    "dimensions": {
      "semanticHtml": {
        "score": 100,
        "weight": 20,
        "grade": "A",
        "checks": {
          "uses_article_or_main": {
            "score": 100,
            "weight": 20,
            "details": "Has <main>"
          },
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 25,
            "details": "Clean heading hierarchy"
          },
          "semantic_elements": {
            "score": 100,
            "weight": 20,
            "details": "6 semantic elements, 10 divs (ratio: 38%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "details": "No images found"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 20,
            "details": "Avg div depth: 1.0, max: 2"
          }
        }
      },
      "contentEfficiency": {
        "score": 70,
        "weight": 25,
        "grade": "C",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "details": "99% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "details": "Content ratio: 4.5% (679 content chars / 15155 HTML bytes)"
          },
          "minimal_inline_styles": {
            "score": 100,
            "weight": 15,
            "details": "0/112 elements with inline styles (0.0%)"
          },
          "reasonable_page_weight": {
            "score": 100,
            "weight": 15,
            "details": "HTML size: 15KB"
          }
        }
      },
      "aiDiscoverability": {
        "score": 50,
        "weight": 25,
        "grade": "D",
        "checks": {
          "has_llms_txt": {
            "score": 0,
            "weight": 25,
            "details": "No llms.txt found"
          },
          "has_robots_txt": {
            "score": 100,
            "weight": 15,
            "details": "robots.txt exists"
          },
          "robots_allows_ai_bots": {
            "score": 100,
            "weight": 20,
            "details": "All major AI bots allowed"
          },
          "has_sitemap": {
            "score": 100,
            "weight": 15,
            "details": "Sitemap found"
          },
          "supports_markdown_negotiation": {
            "score": 0,
            "weight": 15,
            "details": "No markdown content negotiation"
          },
          "has_content_signals": {
            "score": 0,
            "weight": 10,
            "details": "No Content-Signal header"
          }
        }
      },
      "structuredData": {
        "score": 85,
        "weight": 15,
        "grade": "B",
        "checks": {
          "has_schema_org": {
            "score": 50,
            "weight": 30,
            "details": "JSON-LD found but basic types: WebSite"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 25,
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "details": "Meta description: 59 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "details": "Canonical URL present"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "details": "lang=\"en\""
          }
        }
      },
      "accessibility": {
        "score": 93,
        "weight": 15,
        "grade": "A",
        "checks": {
          "content_without_js": {
            "score": 100,
            "weight": 40,
            "details": "Content available without JavaScript"
          },
          "reasonable_page_size": {
            "score": 100,
            "weight": 30,
            "details": "Page size: 15KB"
          },
          "fast_content_position": {
            "score": 75,
            "weight": 30,
            "details": "Main content starts at 24% of HTML"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "add_llms_txt",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_llms_txt.title",
      "descriptionKey": "rec.add_llms_txt.description",
      "howToKey": "rec.add_llms_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 10,
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "improve_content_ratio",
      "priority": "critical",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 6,
      "checkScore": 0,
      "checkDetails": "Content ratio: 4.5% (679 content chars / 15155 HTML bytes)"
    },
    {
      "id": "add_markdown_negotiation",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_markdown_negotiation.title",
      "descriptionKey": "rec.add_markdown_negotiation.description",
      "howToKey": "rec.add_markdown_negotiation.howto",
      "effort": "significant",
      "estimatedImpact": 4,
      "checkScore": 0,
      "checkDetails": "No markdown content negotiation"
    },
    {
      "id": "add_content_signals",
      "priority": "critical",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "checkScore": 0,
      "checkDetails": "No Content-Signal header"
    }
  ],
  "llmsTxtPreview": "# NSlookup.Network\n\n> Fast DNS over HTTPS queries with smart history and caching.\n\n## Main\n- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.\n- [About Us](https://nslookup.network/about/)\n- [FAQ](https://nslookup.network/dns-faq/)\n- [Last DNS search](https://nslookup.network/dns-history/)\n\n",
  "llmsTxtExisting": null,
  "snippets": [
    {
      "id": "add_llms_txt",
      "title": "Create /llms.txt",
      "description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
      "language": "markdown",
      "code": "# NSlookup.Network\n\n> Fast DNS over HTTPS queries with smart history and caching.\n\n## Main\n- [NSlookup](https://nslookup.network/): Fast DNS over HTTPS queries with smart history and caching.\n- [About Us](https://nslookup.network/about/)\n- [FAQ](https://nslookup.network/dns-faq/)\n- [Last DNS search](https://nslookup.network/dns-history/)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal HTTP header",
      "description": "The Content-Signal header tells AI agents about the nature of your content. Add it via your web server or CDN.",
      "language": "nginx",
      "code": "# Nginx — add to your server block:\nadd_header Content-Signal \"type=website; lang=en\" always;\n\n# Apache — add to .htaccess:\n# Header set Content-Signal \"type=website; lang=en\"",
      "filename": "nginx.conf or .htaccess"
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Accept: text/markdown",
      "description": "When a client sends Accept: text/markdown, respond with a Markdown version of the page. This is the gold standard for AI-readiness.",
      "language": "nginx",
      "code": "# Nginx — serve .md files when client requests Markdown:\n# Option 1: Serve pre-generated .md files\nmap $http_accept $markdown_suffix {\n  default \"\";\n  \"~text/markdown\" \".md\";\n}\n\n# Then in your location block:\ntry_files $uri$markdown_suffix $uri =404;\n\n# Option 2: Use your app framework to check the Accept header\n# and return Markdown content with Content-Type: text/markdown",
      "filename": "nginx.conf or application code"
    }
  ]
}

使用我们的API以编程方式获取此内容(即将推出)

此JSON供内部使用 — 与Markdown和llms.txt文件不同,它不适合上传到您的网站。将其保存为基准值以跟踪评分变化,与开发团队共享,或集成到CI/CD流水线中。

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将此徽章添加到您的网站。当您的 AI 就绪评分发生变化时,它会自动更新。

AgentReady.md score for nslookup.network
Script 推荐
<script src="https://agentready.md/badge.js" data-id="b6a9fac3-3068-4c0c-a00a-f26f1b482913" data-domain="nslookup.network"></script>
Markdown
[![AgentReady.md score for nslookup.network](https://agentready.md/badge/nslookup.network.svg)](https://agentready.md/zh/r/b6a9fac3-3068-4c0c-a00a-f26f1b482913)

即将推出:全域分析

爬取您的整个域名,生成llms.txt,并随时间监控您的AI就绪度评分。加入等候名单以获取通知。

您已加入名单!服务上线时我们会通知您。