Analysierte URL
https://problemcockpit.com/
Gemessen vor 47 Minuten
KI-Ready Score
Gut
von 100
Token-Einsparung
Score-Aufschlüsselung
Emerging Protocols
0 von 6 erkanntWell-known-Endpunkte, nach denen KI-Agenten suchen. Erkannt bedeutet, dass ein Agent Ihren Dienst automatisch finden und verbinden kann.
-
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
Das bleibt nicht so. Monitoring gibt es noch nicht — tragen Sie sich ein, wir melden uns zum Start.
Sie stehen auf der Liste! Wir benachrichtigen Sie, sobald es verfügbar ist.
Was wir gemessen haben No Markdown for Agents support detected
Ihre Website unterstützt kein Markdown for Agents. Dieser Cloudflare-Standard ermöglicht KI-Agenten, Inhalte im Markdown-Format anzufordern und reduziert den Token-Verbrauch um ~80%.
So implementieren Sie es
Implementieren Sie eines oder mehrere: (1) Auf Accept: text/markdown mit Markdown-Inhalt antworten. (2) .md-URLs bereitstellen (z.B. /seite.md). (3) <link rel="alternate" type="text/markdown">-Tags hinzufügen. (4) Link-HTTP-Header für Markdown-Erkennung hinzufügen.
Was wir gemessen haben Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)
Ihre Seite hat ein niedriges Verhältnis von tatsächlichem Inhalt zum gesamten HTML. Ein Großteil des Seitengewichts besteht aus Markup, Skripten oder Styles statt Inhalt.
So implementieren Sie es
Verlagern Sie CSS in externe Stylesheets, entfernen Sie Inline-Styles, minimieren Sie JavaScript und stellen Sie sicher, dass sich das HTML auf die Inhaltsstruktur konzentriert.
Was wir gemessen haben No llms.txt found
Ihre Website hat keine llms.txt-Datei. Dies ist der aufkommende Standard, um KI-Agenten beim Verständnis Ihrer Website-Struktur zu helfen.
So implementieren Sie es
Erstellen Sie eine /llms.txt-Datei gemäß der llmstxt.org-Spezifikation. Fügen Sie eine Beschreibung Ihrer Website und Links zu Ihren wichtigsten Seiten hinzu.
Was wir gemessen haben No Content-Signal found (robots.txt or HTTP headers)
Keine Content-Signal-Direktiven gefunden. Diese teilen KI-Agenten mit, wie sie Ihre Inhalte verwenden dürfen (Suchindexierung, KI-Eingabe, Trainingsdaten). Der empfohlene Ort ist robots.txt.
So implementieren Sie es
Fügen Sie Content-Signal zu Ihrer robots.txt hinzu: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Sie können es auch als HTTP-Header bei Markdown-Antworten hinzufügen.
## Most problem-solving starts too late. A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. 3 problems solved free. Then $49/month. ## How it works 1 ### Name what's wrong Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it. 2 ### Surface your assumptions The structure finds what you're taking for granted. Hypotheses are tested, not accepted. 3 ### Reach the physics Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it. 4 ### Choose a path forward Fork paths from the real problem, sorted from quick wins to structural change. See how it works ## Layer 00: Intake We keep missing deadlines despite accurate estimates. Happens across teams. ## Find the real problem. For one person 3 problems solved free then $49/month - \--7-stage structured process, not open-ended chat - \--Surfaces your assumptions and strikes through what doesn't hold - \--Fork paths sorted from quick wins to structural change - \--Start even when you can't articulate the problem yet For a whole team 5 seats, one shared history $99/month. Add seats as you grow. - \--The same 7 stages, for everyone on the team - \--The whole team reads every session by default - \--Only the owner can change billing - \--Weeks later, see which decisions actually held up Start with the problem that keeps coming back.
Problem.Cockpit — Stop Solving the Wrong Problem [Skip to content](https://problemcockpit.com/#main-content) [Problem.Cockpit ](https://problemcockpit.com/) [Sign Up](https://problemcockpit.com/sign-up) # Most problem-solving starts too late. A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. [Start Free](https://problemcockpit.com/sign-up?redirect=/excavate) 3 problems solved free. Then $49/month. ## How it works 1### Name what's wrong Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it. 2### Surface your assumptions The structure finds what you're taking for granted. Hypotheses are tested, not accepted. 3### Reach the physics Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it. 4### Choose a path forward Fork paths from the real problem, sorted from quick wins to structural change. See how it works ## Layer 00: Intake We keep missing deadlines despite accurate estimates. Happens across teams. Next ## Find the real problem. For one person 3 problems solved free then $49/month - \--7-stage structured process, not open-ended chat - \--Surfaces your assumptions and strikes through what doesn't hold - \--Fork paths sorted from quick wins to structural change - \--Start even when you can't articulate the problem yet [Start Free](https://problemcockpit.com/sign-up) For a whole team 5 seats, one shared history $99/month. Add seats as you grow. - \--The same 7 stages, for everyone on the team - \--The whole team reads every session by default - \--Only the owner can change billing - \--Weeks later, see which decisions actually held up [Start a Team](https://problemcockpit.com/team) Start with the problem that keeps coming back.
Laden Sie diese Datei als /index.md auf Ihren Server hoch, damit KI-Agenten auf eine saubere Version Ihrer Seite zugreifen können. Sie können auch die Accept: text/markdown-Inhaltsverhandlung konfigurieren, um sie automatisch auszuliefern.
Generierte llms.txt für diese einzelne Seite
# Problem.Cockpit > Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. ## Main - [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym… - [Gallery](https://problemcockpit.com/gallery) - [Sign In](https://problemcockpit.com/sign-in) - [Sign Up](https://problemcockpit.com/sign-up) ## Blog - [Blog](https://problemcockpit.com/blog) ## Legal - [Terms](https://problemcockpit.com/terms) - [Privacy](https://problemcockpit.com/privacy)
Vollständige llms.txt erfordert eine domainweite Analyse (kommt bald)
Laden Sie diese Datei als https://problemcockpit.com/llms.txt im Stammverzeichnis Ihrer Domain hoch. KI-Agenten wie ChatGPT, Claude und Perplexity prüfen diese Datei, um Ihre Website-Struktur zu verstehen.
Zugänglichkeit
Content available without JavaScript
Main content starts at 18% of HTML
Page size: 35KB
KI-Auffindbarkeit
All major AI search bots allowed
Sitemap found
robots.txt exists
No llms.txt found
Strukturierte Daten
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 159 chars
Canonical URL present
lang="en"
Semantisches HTML
Clean heading hierarchy
Has <main>
8 semantic elements, 31 divs (ratio: 21%)
No images found
Avg div depth: 3.3, max: 6
Inhaltseffizienz
96% token reduction (HTML→Markdown)
Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)
HTML size: 35KB
1/162 elements with inline styles (0.6%)
{
"url": "https://problemcockpit.com/",
"timestamp": 1792412868895,
"fetch": {
"mode": "simple",
"timeMs": 412,
"htmlSizeBytes": 35613,
"supportsMarkdown": false,
"markdownAgents": {
"contentNegotiation": false,
"mdUrl": {
"found": false,
"url": null
},
"linkTag": {
"found": false,
"url": null
},
"linkHeader": {
"found": false,
"url": null
},
"responseHeaders": {
"contentSignal": null,
"xMarkdownTokens": null,
"vary": null
},
"frontmatter": {
"present": false,
"fields": [],
"level": "none"
},
"level": "none"
},
"statusCode": 200
},
"extraction": {
"title": "Problem.Cockpit — Stop Solving the Wrong Problem",
"excerpt": "Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.",
"byline": null,
"siteName": "Problem.Cockpit",
"lang": "en",
"contentLength": 1416,
"metadata": {
"description": "Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.",
"ogTitle": "Problem.Cockpit — Stop Solving the Wrong Problem",
"ogDescription": "Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.",
"ogImage": "https://problemcockpit.com/opengraph-image?1bf0182397b45598",
"ogType": "website",
"canonical": "https://problemcockpit.com",
"lang": "en",
"schemas": [
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Problem.Cockpit",
"url": "https://problemcockpit.com",
"description": "AI-powered root cause excavation for engineering teams."
},
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Problem.Cockpit",
"url": "https://problemcockpit.com",
"description": "Find the real problem. Not the stated one."
}
],
"robotsMeta": null,
"author": null,
"generator": null,
"markdownAlternateHref": null
}
},
"markdown": "## Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1\n\n### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2\n\n### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3\n\n### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4\n\n### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n- \\--7-stage structured process, not open-ended chat\n- \\--Surfaces your assumptions and strikes through what doesn't hold\n- \\--Fork paths sorted from quick wins to structural change\n- \\--Start even when you can't articulate the problem yet\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n- \\--The same 7 stages, for everyone on the team\n- \\--The whole team reads every session by default\n- \\--Only the owner can change billing\n- \\--Weeks later, see which decisions actually held up\n\nStart with the problem that keeps coming back.\n",
"fullPageMarkdown": "Problem.Cockpit — Stop Solving the Wrong Problem\n\n[Skip to content](https://problemcockpit.com/#main-content)\n\n[Problem.Cockpit\n\n](https://problemcockpit.com/)\n\n[Sign Up](https://problemcockpit.com/sign-up)\n\n# Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\nNext\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n- \\--7-stage structured process, not open-ended chat\n- \\--Surfaces your assumptions and strikes through what doesn't hold\n- \\--Fork paths sorted from quick wins to structural change\n- \\--Start even when you can't articulate the problem yet\n\n[Start Free](https://problemcockpit.com/sign-up)\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n- \\--The same 7 stages, for everyone on the team\n- \\--The whole team reads every session by default\n- \\--Only the owner can change billing\n- \\--Weeks later, see which decisions actually held up\n\n[Start a Team](https://problemcockpit.com/team)\n\nStart with the problem that keeps coming back.\n",
"markdownStats": {
"images": 0,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 8
},
"tokens": {
"htmlTokens": 10138,
"markdownTokens": 360,
"reduction": 9778,
"reductionPercent": 96
},
"score": {
"score": 86,
"grade": "B",
"rubricVersion": 3,
"dimensions": {
"accessibility": {
"score": 100,
"weight": 30,
"grade": "A",
"checks": {
"content_without_js": {
"score": 100,
"weight": 55,
"evidence": "proven",
"details": "Content available without JavaScript"
},
"fast_content_position": {
"score": 100,
"weight": 25,
"evidence": "plausible",
"details": "Main content starts at 18% of HTML"
},
"reasonable_page_size": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Page size: 35KB"
}
}
},
"aiDiscoverability": {
"score": 60,
"weight": 25,
"grade": "C",
"checks": {
"robots_allows_ai_bots": {
"score": 100,
"weight": 35,
"evidence": "proven",
"details": "All major AI search bots allowed"
},
"supports_markdown_negotiation": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "No Markdown for Agents support detected"
},
"has_sitemap": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "Sitemap found"
},
"has_robots_txt": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "robots.txt exists"
},
"has_llms_txt": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No llms.txt found"
},
"has_content_signals": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No Content-Signal found (robots.txt or HTTP headers)",
"mechanisms": {
"robotsTxt": false,
"httpHeader": false,
"policy": false
}
}
}
},
"structuredData": {
"score": 100,
"weight": 20,
"grade": "A",
"checks": {
"has_schema_org": {
"score": 100,
"weight": 35,
"evidence": "proven",
"details": "JSON-LD found: Organization, WebSite"
},
"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: 159 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=\"en\""
}
}
},
"semanticHtml": {
"score": 94,
"weight": 15,
"grade": "A",
"checks": {
"proper_heading_hierarchy": {
"score": 100,
"weight": 30,
"evidence": "plausible",
"details": "Clean heading hierarchy"
},
"uses_article_or_main": {
"score": 100,
"weight": 25,
"evidence": "plausible",
"details": "Has <main>"
},
"semantic_elements": {
"score": 68,
"weight": 20,
"evidence": "plausible",
"details": "8 semantic elements, 31 divs (ratio: 21%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No images found"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "Avg div depth: 3.3, max: 6"
}
}
},
"contentEfficiency": {
"score": 70,
"weight": 10,
"grade": "C",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "96% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 0,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 35KB"
},
"minimal_inline_styles": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "1/162 elements with inline styles (0.6%)"
}
}
}
}
},
"recommendations": [
{
"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",
"howToStepKeys": null,
"effort": "significant",
"estimatedImpact": 5,
"maxImpact": 5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"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",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 3,
"maxImpact": 3,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "Content ratio: 4.0% (1416 content chars / 35613 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",
"howToStepKeys": null,
"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",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
}
],
"llmsTxtPreview": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://problemcockpit.com/.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": "Vercel",
"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": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
"filename": "/llms.txt"
},
{
"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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