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Analyzed URL

https://ls-lighting.ru

Measured 3 weeks ago

Analyze another URL

AI-Ready Score

Fair

out of 100

Token Savings

HTML tokens 135.199
Markdown tokens 220
Savings 100%

Score Breakdown

Accessibility 90/100
AI Discoverability 60/100
Structured Data 65/100
Semantic HTML 55/100
Content Efficiency 50/100

Emerging protocols

0 of 6 detected

Well-known endpoints AI agents look for. Detected here means an agent can discover and connect to your service automatically.

  • OAuth Protected Resource RFC 9728
    /.well-known/oauth-protected-resource
  • OAuth Discovery RFC 8414
    /.well-known/oauth-authorization-server
  • MCP Server Card SEP-1649 draft
    /.well-known/mcp/server-card.json
  • A2A Agent Card A2A v1.0
    /.well-known/agent-card.json
  • API Catalog RFC 9727
    /.well-known/api-catalog
  • Agent Skills index Discovery RFC v0.2.0 draft
    /.well-known/agent-skills/index.json

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What we measured No JSON-LD / Schema.org found

No Schema.org structured data found. JSON-LD helps AI agents extract factual, structured information from your pages.

How to implement

Add a <script type="application/ld+json"> block with Schema.org markup. Use appropriate types: Article for blog posts, Product for products, Organization for your company page.

Paste into a coding agent to make the fix

What we measured No Markdown for Agents support detected

Your site doesn't support Markdown for Agents. This Cloudflare standard lets AI agents request content in markdown format, reducing token usage by ~80%.

How to implement

Implement one or more: (1) Respond to Accept: text/markdown with markdown content. (2) Serve .md URLs (e.g., /page.md). (3) Add <link rel="alternate" type="text/markdown"> tags. (4) Add Link HTTP headers for markdown discovery.

Paste into a coding agent to make the fix

What we measured Missing <article> and <main> elements

Your page doesn't use <article> or <main> elements. These semantic containers help AI agents identify the primary content area and ignore navigation, sidebars, and footers.

How to implement

Add a <main> element around your page's primary content, and use <article> for self-contained content blocks like blog posts or product descriptions.

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What we measured 2 semantic elements, 494 divs (ratio: 0%)

Your page relies heavily on <div> elements. Semantic elements like <section>, <nav>, <header>, <footer>, and <aside> provide meaningful structure for AI agents.

How to implement

Replace generic <div> containers with appropriate semantic elements. Use <section> for thematic groups, <nav> for navigation, <header>/<footer> for page/section headers and footers.

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What we measured Content ratio: 0.1% (445 content chars / 435809 HTML bytes)

Your page has a low ratio of actual content to total HTML. Much of the page weight is markup, scripts, or styles rather than content.

How to implement

Move CSS to external stylesheets, remove inline styles, minimize JavaScript, and ensure the HTML focuses on content structure.

Paste into a coding agent to make the fix

What we measured No llms.txt found

Your site doesn't have an llms.txt file. This is the emerging standard for helping AI agents understand your site structure.

How to implement

Create an /llms.txt file following the llmstxt.org specification. Include a site description and links to your key pages.

Paste into a coding agent to make the fix

What we measured No Content-Signal found (robots.txt or HTTP headers)

No Content-Signal directives found. These tell AI agents how they may use your content (search indexing, AI input, training data). The recommended location is robots.txt.

How to implement

Add Content-Signal to your robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. You can also add it as an HTTP header on markdown responses.

Paste into a coding agent to make the fix

What we measured 145/936 elements with inline styles (15.5%)

Many elements have inline style attributes. These add noise for AI agents extracting content.

How to implement

Move all inline styles to CSS classes in your stylesheet. Use utility CSS frameworks like Tailwind if you need many unique styles.

Paste into a coding agent to make the fix
Markdown tokens: 220
## РЕШЕНИЕ ДЛЯ НАРУЖНОГО ОСВЕЩЕНИЯ

LS LIGHTING

LS LIGHTING — студия архитектурного освещения премиум-класса. Мы создаём световые решения, которые подчёркивают красоту пространства и формируют уникальную атмосферу.

15 лет опыта, собственный шоурум, индивидуальный подход к каждому проекту

## О КОМПАНИИ

Оставьте заявку, и наш специалист свяжется с вами для обсуждения проекта

## НУЖНА КОНСУЛЬТАЦИЯ?
Ls lighting - Ландшафтное и архитектурное освещение

[

LS LIGHTING

](https://ls-lighting.ru/)

-   [

    ](https://ls-lighting.ru/#openmembersbar)
-   [

    ](https://ls-lighting.ru/#showfavorites)
-   [

    ](https://ls-lighting.ru/#opencart)

-   [Главная](https://ls-lighting.ru/)

-   [Продукция](https://ls-lighting.ru/catalog)

-   [Проекты](https://ls-lighting.ru/portfolio)

-   [О компании](https://ls-lighting.ru/o-nas)

-   [Решения](https://ls-lighting.ru/solution)

-   [Каталог](https://drive.google.com/uc?export=download&id=1FVIgLQZYZnhMymK9cUR5C2tJZD7Kij8K)

-   [Контакты](https://ls-lighting.ru/kontakty)

[+7 (985) 557-21-24](tel:+79855572124)

-   [](https://t.me/ls_lighting)
 -   [](https://max.ru/u/f9LHodD0cOLPkgs2YKy3r00K1JPS_Qkz3ksa1QdbCJCtAtCgB0up8hKYvFA)

[+7 (499) 769-51-17](tel:+7499769-51-17)

[ГЛАВНАЯ](https://ls-lighting.ru/)

[ПРОДУКЦИЯ](https://ls-lighting.ru/catalog)

[ПРОЕКТЫ](https://ls-lighting.ru/portfolio)

[О КОМПАНИИ](https://ls-lighting.ru/o-nas)

[РЕШЕНИЯ](https://ls-lighting.ru/solution)

[КАТАЛОГ](https://drive.google.com/uc?export=download&id=1FVIgLQZYZnhMymK9cUR5C2tJZD7Kij8K)

[КОНТАКТЫ](https://ls-lighting.ru/kontakty)

[LS LIGHTING](https://ls-lighting.ru/)

[![иконка личного кабинета](https://static.tildacdn.com/tild3737-3838-4164-b462-313765313064/svg_1781168245895.svg)](https://ls-lighting.ru/#openmembersbar)

![иконка корзины](https://static.tildacdn.com/tild3438-6535-4464-a637-653066626434/svg_1779446080093.svg)

![иконка избранного](https://static.tildacdn.com/tild3036-6132-4130-a265-363963336365/svg_1782405220268.svg)

0

0

# РЕШЕНИЕ ДЛЯ НАРУЖНОГО ОСВЕЩЕНИЯ

LS LIGHTING

[

НАШИ ПРОЕКТЫ

](https://ls-lighting.ru/portfolio)

LS LIGHTING — студия архитектурного освещения премиум-класса. Мы создаём световые решения, которые подчёркивают красоту пространства и формируют уникальную атмосферу.

[](https://ls-lighting.ru/catalog)

[](https://ls-lighting.ru/portfolio)

[Архитектурное, декоративное и уличное освещение](https://ls-lighting.ru/catalog)

## [ПРОДУКЦИЯ](https://ls-lighting.ru/catalog)

[Реализованные проекты освещения премиум-объектов](https://ls-lighting.ru/portfolio)

## [ПРОЕКТЫ](https://ls-lighting.ru/portfolio)

[](https://drive.google.com/uc?export=download&id=111QxfM77RcUkVbV7Gac-mX1xUQudIkOA)

[](https://drive.google.com/uc?export=download&id=1OccstkcPx_HPKD1GaVJwxHpUXhJLfVKv)

[Подробнее](https://drive.google.com/uc?export=download&id=111QxfM77RcUkVbV7Gac-mX1xUQudIkOA)

### [МИРОВЫЕ НОВИНКИ 2026](https://drive.google.com/uc?export=download&id=111QxfM77RcUkVbV7Gac-mX1xUQudIkOA)

[Подробнее](https://drive.google.com/uc?export=download&id=1OccstkcPx_HPKD1GaVJwxHpUXhJLfVKv)

### [ПОРТФОЛИО: ЛАНДШАФТНОЕ ОСВЕЩЕНИЕ](https://drive.google.com/uc?export=download&id=1OccstkcPx_HPKD1GaVJwxHpUXhJLfVKv)

[](https://drive.google.com/uc?export=download&id=1cUmI5iE3SPlgh-XKDP6ryrBsODytLesi)

[Подробнее](https://drive.google.com/uc?export=download&id=1cUmI5iE3SPlgh-XKDP6ryrBsODytLesi)

### [ПОРТФОЛИО: ФАСАДНОЕ ОСВЕЩЕНИЕ](https://drive.google.com/uc?export=download&id=1cUmI5iE3SPlgh-XKDP6ryrBsODytLesi)

15 лет опыта, собственный шоурум, индивидуальный подход к каждому проекту

## О КОМПАНИИ

[

УЗНАТЬ БОЛЬШЕ

](https://ls-lighting.ru/o-nas)

Оставьте заявку, и наш специалист свяжется с вами для обсуждения проекта

## НУЖНА КОНСУЛЬТАЦИЯ?

[

ПОЛУЧИТЬ КОНСУЛЬТАЦИЮ

](https://ls-lighting.ru/#popup:myform)

Upload this file as /index.md on your server so AI agents can access a clean version of your page. You can also configure Accept: text/markdown content negotiation to serve it automatically.

Generated llms.txt for this single page

Download llms.txt
# ls-lighting.ru

> Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно художественное освещение.

## Main
- [Ls lighting - Ландшафтное и архитектурное освещение](https://ls-lighting.ru): Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно…
- [Решения](https://ls-lighting.ru/solution)
- [LS LIGHTING](https://ls-lighting.ru/)
- [Продукция](https://ls-lighting.ru/catalog)
- [Проекты](https://ls-lighting.ru/portfolio)
- [О компании](https://ls-lighting.ru/o-nas)
- [Контакты](https://ls-lighting.ru/kontakty)
- [Согласие на обработку персональных данных](https://ls-lighting.ru/agreement)
- [Политика обработки персональных данных](https://ls-lighting.ru/politika-obrabotki-personalnyh-dannyh)
- [Консультация](https://ls-lighting.ru/consultation)

## Legal
- [Соглашение об использовании Cookie-файлов](https://ls-lighting.ru/cookies)

Full llms.txt requires domain-wide analysis (coming soon)

Upload this file to https://ls-lighting.ru/llms.txt at the root of your domain. AI agents like ChatGPT, Claude, and Perplexity check this file to understand your site structure.

Accessibility

Content available without JavaScript (100/100)

Content available without JavaScript

Content appears early in HTML (75/100)

Main content starts at 24% of HTML

Reasonable page size (80/100)

Page size: 426KB

AI Discoverability

Robots.txt allows AI bots (100/100)

All major AI search bots allowed

Markdown for Agents support (0/100)
✗ Accept: text/markdown ✗ .md URL ✗ <link> tag ✗ Link header
Has sitemap.xml (100/100)

Sitemap found

Has robots.txt file (100/100)

robots.txt exists

Has llms.txt file (0/100)

No llms.txt found

Has Content-Signal (robots.txt or HTTP headers) (0/100)
✓ robots.txt ✓ HTTP header ✗ Policy

Structured Data

Has Schema.org / JSON-LD (0/100)

No JSON-LD / Schema.org found

Has Open Graph tags (100/100)

All OG tags present

Has meta description (100/100)

Meta description: 144 chars

Has canonical URL (100/100)

Canonical URL present

Has lang attribute (100/100)

lang="ru"

Semantic HTML

Proper heading hierarchy (100/100)

Clean heading hierarchy

Uses article or main element (0/100)

Missing <article> and <main> elements

Uses semantic HTML elements (1/100)

2 semantic elements, 494 divs (ratio: 0%)

Meaningful image alt texts (100/100)

3/3 images with meaningful alt text

Low div nesting depth (100/100)

Avg div depth: 4.3, max: 12

Content Efficiency

Good token reduction ratio (100/100)

100% token reduction (HTML→Markdown)

Good content-to-noise ratio (0/100)

Content ratio: 0.1% (445 content chars / 435809 HTML bytes)

Reasonable page weight (50/100)

HTML size: 426KB

Minimal inline styles (0/100)

145/936 elements with inline styles (15.5%)

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  "markdown": "## РЕШЕНИЕ ДЛЯ НАРУЖНОГО ОСВЕЩЕНИЯ\n\nLS LIGHTING\n\nLS LIGHTING — студия архитектурного освещения премиум-класса. Мы создаём световые решения, которые подчёркивают красоту пространства и формируют уникальную атмосферу.\n\n15 лет опыта, собственный шоурум, индивидуальный подход к каждому проекту\n\n## О КОМПАНИИ\n\nОставьте заявку, и наш специалист свяжется с вами для обсуждения проекта\n\n## НУЖНА КОНСУЛЬТАЦИЯ?\n",
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            "evidence": "speculative",
            "details": "No Content-Signal found (robots.txt or HTTP headers)"
          }
        }
      },
      "structuredData": {
        "score": 65,
        "weight": 20,
        "grade": "C",
        "checks": {
          "has_schema_org": {
            "score": 0,
            "weight": 35,
            "evidence": "proven",
            "details": "No JSON-LD / Schema.org found"
          },
          "has_open_graph": {
            "score": 100,
            "weight": 20,
            "evidence": "plausible",
            "details": "All OG tags present"
          },
          "has_meta_description": {
            "score": 100,
            "weight": 20,
            "evidence": "plausible",
            "details": "Meta description: 144 chars"
          },
          "has_canonical_url": {
            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "Canonical URL present"
          },
          "has_lang_attribute": {
            "score": 100,
            "weight": 10,
            "evidence": "plausible",
            "details": "lang=\"ru\""
          }
        }
      },
      "semanticHtml": {
        "score": 55,
        "weight": 15,
        "grade": "D",
        "checks": {
          "proper_heading_hierarchy": {
            "score": 100,
            "weight": 30,
            "evidence": "plausible",
            "details": "Clean heading hierarchy"
          },
          "uses_article_or_main": {
            "score": 0,
            "weight": 25,
            "evidence": "plausible",
            "details": "Missing <article> and <main> elements"
          },
          "semantic_elements": {
            "score": 1,
            "weight": 20,
            "evidence": "plausible",
            "details": "2 semantic elements, 494 divs (ratio: 0%)"
          },
          "meaningful_alt_texts": {
            "score": 100,
            "weight": 15,
            "evidence": "plausible",
            "details": "3/3 images with meaningful alt text"
          },
          "low_div_nesting": {
            "score": 100,
            "weight": 10,
            "evidence": "speculative",
            "details": "Avg div depth: 4.3, max: 12"
          }
        }
      },
      "contentEfficiency": {
        "score": 50,
        "weight": 10,
        "grade": "D",
        "checks": {
          "token_reduction_ratio": {
            "score": 100,
            "weight": 40,
            "evidence": "speculative",
            "details": "100% token reduction (HTML→Markdown)"
          },
          "content_to_noise_ratio": {
            "score": 0,
            "weight": 30,
            "evidence": "speculative",
            "details": "Content ratio: 0.1% (445 content chars / 435809 HTML bytes)"
          },
          "reasonable_page_weight": {
            "score": 50,
            "weight": 20,
            "evidence": "speculative",
            "details": "HTML size: 426KB"
          },
          "minimal_inline_styles": {
            "score": 0,
            "weight": 10,
            "evidence": "speculative",
            "details": "145/936 elements with inline styles (15.5%)"
          }
        }
      }
    }
  },
  "recommendations": [
    {
      "id": "add_schema_org",
      "priority": "critical",
      "category": "structuredData",
      "titleKey": "rec.add_schema_org.title",
      "descriptionKey": "rec.add_schema_org.description",
      "howToKey": "rec.add_schema_org.howto",
      "effort": "moderate",
      "estimatedImpact": 7,
      "maxImpact": 7,
      "evidence": "proven",
      "checkScore": 0,
      "checkDetails": "No JSON-LD / Schema.org found"
    },
    {
      "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": 5,
      "maxImpact": 5,
      "evidence": "plausible",
      "checkScore": 0,
      "checkDetails": "No Markdown for Agents support detected"
    },
    {
      "id": "add_article_main",
      "priority": "high",
      "category": "semanticHtml",
      "titleKey": "rec.add_article_main.title",
      "descriptionKey": "rec.add_article_main.description",
      "howToKey": "rec.add_article_main.howto",
      "effort": "quick-win",
      "estimatedImpact": 3.8,
      "maxImpact": 3.8,
      "evidence": "plausible",
      "checkScore": 0,
      "checkDetails": "Missing <article> and <main> elements"
    },
    {
      "id": "add_semantic_elements",
      "priority": "high",
      "category": "semanticHtml",
      "titleKey": "rec.add_semantic_elements.title",
      "descriptionKey": "rec.add_semantic_elements.description",
      "howToKey": "rec.add_semantic_elements.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "maxImpact": 3,
      "evidence": "plausible",
      "checkScore": 1,
      "checkDetails": "2 semantic elements, 494 divs (ratio: 0%)"
    },
    {
      "id": "improve_content_ratio",
      "priority": "high",
      "category": "contentEfficiency",
      "titleKey": "rec.improve_content_ratio.title",
      "descriptionKey": "rec.improve_content_ratio.description",
      "howToKey": "rec.improve_content_ratio.howto",
      "effort": "moderate",
      "estimatedImpact": 3,
      "maxImpact": 3,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "Content ratio: 0.1% (445 content chars / 435809 HTML bytes)"
    },
    {
      "id": "add_llms_txt",
      "priority": "high",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_llms_txt.title",
      "descriptionKey": "rec.add_llms_txt.description",
      "howToKey": "rec.add_llms_txt.howto",
      "effort": "quick-win",
      "estimatedImpact": 2.5,
      "maxImpact": 2.5,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "No llms.txt found"
    },
    {
      "id": "add_content_signals",
      "priority": "high",
      "category": "aiDiscoverability",
      "titleKey": "rec.add_content_signals.title",
      "descriptionKey": "rec.add_content_signals.description",
      "howToKey": "rec.add_content_signals.howto",
      "effort": "quick-win",
      "estimatedImpact": 2.5,
      "maxImpact": 2.5,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
    },
    {
      "id": "remove_inline_styles",
      "priority": "medium",
      "category": "contentEfficiency",
      "titleKey": "rec.remove_inline_styles.title",
      "descriptionKey": "rec.remove_inline_styles.description",
      "howToKey": "rec.remove_inline_styles.howto",
      "effort": "moderate",
      "estimatedImpact": 1,
      "maxImpact": 1,
      "evidence": "speculative",
      "checkScore": 0,
      "checkDetails": "145/936 elements with inline styles (15.5%)"
    }
  ],
  "llmsTxtPreview": "# ls-lighting.ru\n\n> Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно художественное освещение.\n\n## Main\n- [Ls lighting - Ландшафтное и архитектурное освещение](https://ls-lighting.ru): Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно…\n- [Решения](https://ls-lighting.ru/solution)\n- [LS LIGHTING](https://ls-lighting.ru/)\n- [Продукция](https://ls-lighting.ru/catalog)\n- [Проекты](https://ls-lighting.ru/portfolio)\n- [О компании](https://ls-lighting.ru/o-nas)\n- [Контакты](https://ls-lighting.ru/kontakty)\n- [Согласие на обработку персональных данных](https://ls-lighting.ru/agreement)\n- [Политика обработки персональных данных](https://ls-lighting.ru/politika-obrabotki-personalnyh-dannyh)\n- [Консультация](https://ls-lighting.ru/consultation)\n\n## Legal\n- [Соглашение об использовании Cookie-файлов](https://ls-lighting.ru/cookies)\n\n",
  "llmsTxtExisting": null,
  "emergingProtocols": {
    "oauthProtectedResource": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/oauth-protected-resource"
    },
    "oauthDiscovery": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/oauth-authorization-server"
    },
    "mcpServerCard": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/mcp/server-card.json",
      "draft": true
    },
    "a2aAgentCard": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/agent-card.json"
    },
    "apiCatalog": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/api-catalog"
    },
    "agentSkills": {
      "exists": false,
      "url": "https://ls-lighting.ru/.well-known/agent-skills/index.json",
      "draft": true
    },
    "count": 0,
    "total": 6
  },
  "botAccess": {
    "probed": true,
    "bot": "OAI-SearchBot",
    "controlStatus": 200,
    "botStatus": 200,
    "discriminates": false,
    "refusedAsBot": false,
    "edge": null,
    "verifiable": false,
    "detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
  },
  "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": "# ls-lighting.ru\n\n> Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно художественное освещение.\n\n## Main\n- [Ls lighting - Ландшафтное и архитектурное освещение](https://ls-lighting.ru): Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно…\n- [Решения](https://ls-lighting.ru/solution)\n- [LS LIGHTING](https://ls-lighting.ru/)\n- [Продукция](https://ls-lighting.ru/catalog)\n- [Проекты](https://ls-lighting.ru/portfolio)\n- [О компании](https://ls-lighting.ru/o-nas)\n- [Контакты](https://ls-lighting.ru/kontakty)\n- [Согласие на обработку персональных данных](https://ls-lighting.ru/agreement)\n- [Политика обработки персональных данных](https://ls-lighting.ru/politika-obrabotki-personalnyh-dannyh)\n- [Консультация](https://ls-lighting.ru/consultation)\n\n## Legal\n- [Соглашение об использовании Cookie-файлов](https://ls-lighting.ru/cookies)\n\n",
      "filename": "/llms.txt"
    },
    {
      "id": "add_schema_org",
      "title": "Add Schema.org JSON-LD",
      "description": "Structured data helps AI agents understand the type, author, and purpose of your content.",
      "language": "html",
      "code": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"WebPage\",\n  \"name\": \"Ls lighting - Ландшафтное и архитектурное освещение\",\n  \"description\": \"Уличные светодиодные светильники, светильники для бассейнов, освещение растений, архитектурная подсветка, архитектурно художественное освещение.\",\n  \"url\": \"https://ls-lighting.ru\",\n  \"inLanguage\": \"ru\"\n}\n</script>",
      "filename": "<head>"
    },
    {
      "id": "add_article_main",
      "title": "Wrap content in <main> and <article>",
      "description": "Semantic HTML landmarks help AI agents identify the main content of your page.",
      "language": "html",
      "code": "<main>\n  <article>\n    <h1>Your Page Title</h1>\n    <p>Your content here...</p>\n  </article>\n</main>",
      "filename": "<body>"
    },
    {
      "id": "add_content_signals",
      "title": "Add Content-Signal directives",
      "description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
      "language": "txt",
      "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
      "filename": "/robots.txt",
      "stacks": [
        {
          "id": "robots",
          "label": "robots.txt",
          "language": "txt",
          "filename": "/robots.txt",
          "code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
        },
        {
          "id": "nginx",
          "label": "Nginx",
          "language": "nginx",
          "filename": "server block",
          "code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
        },
        {
          "id": "apache",
          "label": "Apache",
          "language": "apache",
          "filename": ".htaccess",
          "code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n    header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n    return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "middleware.ts",
          "code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n  const res = NextResponse.next();\n  res.headers.set(\n    'Content-Signal',\n    'search=yes, ai-input=yes, ai-train=no'\n  );\n  return res;\n}\nexport const config = { matcher: '/:path*' };"
        },
        {
          "id": "cloudflare",
          "label": "Cloudflare Workers",
          "language": "javascript",
          "filename": "worker.js",
          "code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n  async fetch(request, env, ctx) {\n    const res = await fetch(request);\n    const newRes = new Response(res.body, res);\n    newRes.headers.set(\n      'Content-Signal',\n      'search=yes, ai-input=yes, ai-train=no'\n    );\n    return newRes;\n  },\n};"
        },
        {
          "id": "express",
          "label": "Express / Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Express\napp.use((req, res, next) => {\n  res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n  reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n  done();\n});"
        }
      ]
    },
    {
      "id": "add_markdown_negotiation",
      "title": "Support Markdown for Agents",
      "description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
      "language": "html",
      "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
      "filename": "<head>",
      "stacks": [
        {
          "id": "html",
          "label": "HTML <head>",
          "language": "html",
          "filename": "<head>",
          "code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        },
        {
          "id": "express",
          "label": "Express",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n  res.setHeader('Vary', 'Accept');\n  res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    res.type('text/markdown; charset=utf-8');\n    return res.send(renderMarkdown('page'));\n  }\n  res.render('page');\n});"
        },
        {
          "id": "fastify",
          "label": "Fastify",
          "language": "javascript",
          "filename": "server.js",
          "code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n  reply.header('Vary', 'Accept');\n  reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n  if ((req.headers.accept || '').includes('text/markdown')) {\n    return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n  }\n  return reply.view('/page.ejs');\n});"
        },
        {
          "id": "nextjs",
          "label": "Next.js",
          "language": "typescript",
          "filename": "app/page/route.ts",
          "code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n  const accept = req.headers.get('accept') || '';\n  if (accept.includes('text/markdown')) {\n    return new Response(await renderMarkdown('page'), {\n      headers: {\n        'Content-Type': 'text/markdown; charset=utf-8',\n        'Vary': 'Accept',\n      },\n    });\n  }\n  // Fall through to the page component\n  return new Response(null, { status: 404 });\n}"
        },
        {
          "id": "wordpress",
          "label": "WordPress",
          "language": "php",
          "filename": "functions.php",
          "code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n    if (!is_singular()) return;\n    $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n    if (strpos($accept, 'text/markdown') === false) return;\n    header('Content-Type: text/markdown; charset=utf-8');\n    header('Vary: Accept');\n    $post = get_queried_object();\n    echo \"# \" . get_the_title($post) . \"\\n\\n\";\n    echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n    exit;\n});"
        },
        {
          "id": "static",
          "label": "Hugo / Jekyll / Astro",
          "language": "txt",
          "filename": "static/page.md",
          "code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n#   <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
        }
      ]
    }
  ]
}

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