URL analizada
https://bild.systems/?aaa
Medido anteayer
Puntuación AI-Ready
Excelente
de 100
Ahorro de tokens
Desglose de la puntuación
Protocolos emergentes
0 de 6 detectadosEndpoints well-known que los AI agents buscan. Detectados significa que un agente puede descubrir y conectar con tu servicio automáticamente.
-
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
Esto no se queda quieto. La monitorización aún no existe: apúntate y te avisamos cuando esté.
¡Estás en la lista! Te avisaremos cuando se lance.
Lo que medimos Main content starts at 72% of HTML
El contenido principal aparece tarde en el documento HTML. Los AI agents pueden dar más peso al contenido que aparece antes.
Cómo implementarlo
Reestructura tu HTML para que el contenido <main> o <article> aparezca antes que las barras laterales y el contenido suplementario.
Lo que medimos Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)
Tu página tiene un bajo ratio de contenido real respecto al HTML total. Gran parte del peso de la página es marcado, scripts o estilos en lugar de contenido.
Cómo implementarlo
Mueve el CSS a hojas de estilo externas, elimina los estilos en línea, minimiza el JavaScript y asegúrate de que el HTML se centre en la estructura del contenido.
Lo que medimos 9/259 elements with inline styles (3.5%)
Muchos elementos tienen atributos de estilo en línea. Estos añaden ruido para los AI agents al extraer contenido.
Cómo implementarlo
Mueve todos los estilos en línea a clases CSS en tu hoja de estilos. Usa frameworks de CSS utilitario como Tailwind si necesitas muchos estilos únicos.
## We build the systems that do the busywork, so people can do the good work. Automation, made human.      Our workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around. ## Workflow Build We map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named. ## Operations Audit Two weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return. ## Ongoing Care We hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month. ## What we hold to. • Machine work People shouldn’t do machine work. 01 • Human checkpoints Machines type; humans sign. 02 • What we report No hype. Just throughput. 03 Nothing repetitive should reach a human desk. That is the whole ambition. ## Observed, not staged. ### The Friday spreadsheet Ninety minutes of senior attention, every week, reconciling three systems that don’t talk to each other. ### Where to put the checkpoint Not everywhere, and not at the end. The useful ones sit where a decision changes what happens next. ### What we don’t automate Anything where the answer depends on who’s asking, or where being wrong costs more than being slow. Every workflow we ship is built so the busywork stops reaching a human desk
bild — Automation, made human. [](https://bild.systems/) # We build the systems that do the busywork, so people can do the good work. Automation, made human.      Our workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around. ## Workflow Build We map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named. [Learn more — Workflow Build](https://bild.systems/workflows#workflow-build) ## Operations Audit Two weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return. [Learn more — Operations Audit](https://bild.systems/workflows#operations-audit) ## Ongoing Care We hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month. [Learn more — Ongoing Care](https://bild.systems/workflows#ongoing-care) ## What we hold to. • Machine work People shouldn’t do machine work. 01 • Human checkpoints Machines type; humans sign. 02 • What we report No hype. Just throughput. 03 Nothing repetitive should reach a human desk. That is the whole ambition. ## Observed, not staged. ### The Friday spreadsheet Ninety minutes of senior attention, every week, reconciling three systems that don’t talk to each other. [Read note — The Friday spreadsheet](https://bild.systems/thinking#note-014)Note 014 ### Where to put the checkpoint Not everywhere, and not at the end. The useful ones sit where a decision changes what happens next. [Read note — Where to put the checkpoint](https://bild.systems/thinking#note-019)Note 019 ### What we don’t automate Anything where the answer depends on who’s asking, or where being wrong costs more than being slow. [Read note — What we don’t automate](https://bild.systems/thinking#note-023)Note 023 Every workflow we ship is built so the busywork stops reaching a human desk [Tell us what’s stuck](https://bild.systems/contact)
Sube este archivo como /index.md en tu servidor para que los AI agents puedan acceder a una versión limpia de tu página. También puedes configurar la negociación de contenido Accept: text/markdown para servirlo automáticamente.
Nuestra recomendación
# bild > bild designs and builds agent workflows around the way your team already works — taking repetitive operations off your plate without taking judgment out of the room. ## Documentation - [FAQ](https://bild.systems/faq) ## Main - [bild — Automation, made human.](https://bild.systems/?aaa): bild builds agent workflows around the way your team already works — busywork off your plate, judgment kept in the room. - [About](https://bild.systems/about) - [Workflows](https://bild.systems/workflows) - [Approach](https://bild.systems/approach) - [Thinking](https://bild.systems/thinking) - [Security](https://bild.systems/security) ## Legal - [Privacy](https://bild.systems/privacy) - [Terms](https://bild.systems/terms) ## Support - [FAQ](https://bild.systems/faq) - [Tell us what's stuck →](https://bild.systems/contact)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://bild.systems/llms.txt en la raíz de tu dominio. Los AI agents como ChatGPT, Claude y Perplexity consultan este archivo para comprender la estructura de tu sitio.
Este sitio ya tiene un archivo llms.txt.
Formato válido# bild > bild (bild systems) is an automation and AI agent-workflow consultancy. We design and build agent workflows around the way a team already works — their existing stack, protocols and security guardrails — taking repetitive operations off their plate without taking judgment out of the room. Every workflow keeps named human checkpoints (the agent drafts, the team approves) and the success number is agreed before work starts. Key facts: - Positioning line: "We build the systems that do the busywork, so people can do the good work." - Tagline: "Automation, made human." - Nothing bild builds is fully autonomous — human checkpoints are method, not marketing. - Workflows are built on the client's existing tools; bild resells no platform. - Contact: [email protected] - The name is always lowercase: "bild", never "Bild". - Every page is also served as markdown: append `.md` to the path (e.g. https://bild.systems/approach.md, homepage: https://bild.systems/index.md) or request any page URL with `Accept: text/markdown`. - The whole site in one request: https://bild.systems/llms-full.txt (this file plus the full text of every page and field note). ## Pages - [Home](https://bild.systems/): what bild does and holds to - [Workflows](https://bild.systems/workflows): the three engagements — Operations Audit (two weeks to find and rank the work worth automating), Workflow Build (ship the agent workflow for one stuck process), Ongoing Care (hold the workflow after it ships) - [Approach](https://bild.systems/approach): the method — find the work in the way, agree the number, build around the stack with named checkpoints, run quiet and keep the record - [Thinking](https://bild.systems/thinking): field notes — short observations from inside operations - [About](https://bild.systems/about): the origin story — bild automated its own agency's operations first; clients asked for the method - [FAQ](https://bild.systems/faq): common questions on team impact, messy processes, reliability, data safety and how engagements start - [Contact](https://bild.systems/contact): the enquiry form — "Tell us what's stuck" ## Optional - [Privacy](https://bild.systems/privacy) - [Security](https://bild.systems/security) - [Terms](https://bild.systems/terms)
Accesibilidad
Content available without JavaScript
Main content starts at 72% of HTML
Page size: 53KB
Visibilidad para IA
All major AI search bots allowed
Sitemap found
robots.txt exists
llms.txt exists and is valid
Datos estructurados
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 120 chars
Canonical URL present
lang="en-AU"
HTML semántico
Clean heading hierarchy
Has both <article> and <main>
21 semantic elements, 59 divs (ratio: 26%)
No informative images (5 decorative)
Avg div depth: 1.3, max: 3
Eficiencia del contenido
98% token reduction (HTML→Markdown)
Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)
HTML size: 53KB
9/259 elements with inline styles (3.5%)
{
"url": "https://bild.systems/?aaa",
"timestamp": 1787400936145,
"fetch": {
"mode": "simple",
"timeMs": 53,
"htmlSizeBytes": 53900,
"supportsMarkdown": true,
"markdownAgents": {
"contentNegotiation": true,
"mdUrl": {
"found": true,
"url": "https://bild.systems/index.md"
},
"linkTag": {
"found": true,
"url": "/index.md"
},
"linkHeader": {
"found": false,
"url": null
},
"responseHeaders": {
"contentSignal": null,
"xMarkdownTokens": null,
"vary": "Accept"
},
"frontmatter": {
"present": false,
"fields": [],
"level": "none"
},
"level": "application",
"contentNegotiationMediaType": "text/markdown",
"properMediaType": true
},
"statusCode": 200
},
"extraction": {
"title": "bild — Automation, made human.",
"excerpt": "We build the systems that do the busywork, so people can do the good work.",
"byline": null,
"siteName": "bild",
"lang": "en-AU",
"contentLength": 2887,
"metadata": {
"description": "bild builds agent workflows around the way your team already works — busywork off your plate, judgment kept in the room.",
"ogTitle": "bild — Automation, made human.",
"ogDescription": "We build the systems that do the busywork, so people can do the good work.",
"ogImage": "https://bild.systems/assets/og.png",
"ogType": "website",
"canonical": "https://bild.systems/",
"lang": "en-AU",
"schemas": [
{
"@type": "Organization",
"@id": "https://bild.systems/#organization",
"name": "bild",
"legalName": "bild systems",
"url": "https://bild.systems/",
"logo": "https://bild.systems/assets/icon-512.png",
"email": "[email protected]",
"description": "bild designs and builds agent workflows around the way your team already works — taking repetitive operations off your plate without taking judgment out of the room.",
"slogan": "Automation, made human.",
"sameAs": [
"https://www.linkedin.com/company/bildsystems/",
"https://github.com/bildsystems",
"https://x.com/bildsystems",
"https://www.instagram.com/bildsystems/",
"https://www.threads.com/@bildsystems",
"https://www.facebook.com/bildsystems",
"https://www.tiktok.com/@bildsystems",
"https://bsky.app/profile/bildsystems.bsky.social",
"https://www.reddit.com/user/bildsystems/"
],
"knowsAbout": [
"automation",
"AI agent workflows",
"operations",
"human-in-the-loop systems"
]
},
{
"@type": "WebSite",
"@id": "https://bild.systems/#website",
"url": "https://bild.systems/",
"name": "bild",
"publisher": {
"@id": "https://bild.systems/#organization"
}
}
],
"robotsMeta": null,
"author": null,
"generator": null,
"markdownAlternateHref": "/index.md"
}
},
"markdown": "## We build the systems that do the busywork, so people can do the good work.\n\nAutomation, made human.\n\n\n\n\n\n\n\n\n\n\n\nOur workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around.\n\n## Workflow Build\n\nWe map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named.\n\n## Operations Audit\n\nTwo weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return.\n\n## Ongoing Care\n\nWe hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month.\n\n## What we hold to.\n\n• Machine work\n\nPeople shouldn’t do\nmachine work.\n\n01\n\n• Human checkpoints\n\nMachines type; humans sign.\n\n02\n\n• What we report\n\nNo hype. Just throughput.\n\n03\n\nNothing repetitive should reach a human desk. That is the whole ambition.\n\n## Observed, not staged.\n\n### The Friday spreadsheet\n\nNinety minutes of senior attention, every week, reconciling three systems that don’t talk to each other.\n\n### Where to put the checkpoint\n\nNot everywhere, and not at the end. The useful ones sit where a decision changes what happens next.\n\n### What we don’t automate\n\nAnything where the answer depends on who’s asking, or where being wrong costs more than being slow.\n\nEvery workflow we ship is built so the busywork stops reaching a human desk\n",
"fullPageMarkdown": "bild — Automation, made human.\n\n[](https://bild.systems/)\n\n# We build the systems that do the busywork, so people can do the good work.\n\nAutomation, made human.\n\n\n\n\n\n\n\n\n\n\n\nOur workflows are built from your existing stack, your team’s protocols and your security guardrails — never the other way around.\n\n## Workflow Build\n\nWe map one stuck process and ship the agent workflow that runs it — built around your stack, checkpoints named.\n\n[Learn more — Workflow Build](https://bild.systems/workflows#workflow-build)\n\n## Operations Audit\n\nTwo weeks inside your operations to find what should never reach a human desk — ranked by the hours each would return.\n\n[Learn more — Operations Audit](https://bild.systems/workflows#operations-audit)\n\n## Ongoing Care\n\nWe hold the workflow after it ships — exceptions surfaced at a checkpoint, the record open, reviewed each month.\n\n[Learn more — Ongoing Care](https://bild.systems/workflows#ongoing-care)\n\n## What we hold to.\n\n• Machine work\n\nPeople shouldn’t do\nmachine work.\n\n01\n\n• Human checkpoints\n\nMachines type; humans sign.\n\n02\n\n• What we report\n\nNo hype. Just throughput.\n\n03\n\nNothing repetitive should reach a human desk. That is the whole ambition.\n\n## Observed, not staged.\n\n### The Friday spreadsheet\n\nNinety minutes of senior attention, every week, reconciling three systems that don’t talk to each other.\n\n[Read note — The Friday spreadsheet](https://bild.systems/thinking#note-014)Note 014\n\n### Where to put the checkpoint\n\nNot everywhere, and not at the end. The useful ones sit where a decision changes what happens next.\n\n[Read note — Where to put the checkpoint](https://bild.systems/thinking#note-019)Note 019\n\n### What we don’t automate\n\nAnything where the answer depends on who’s asking, or where being wrong costs more than being slow.\n\n[Read note — What we don’t automate](https://bild.systems/thinking#note-023)Note 023\n\nEvery workflow we ship is built so the busywork stops reaching a human desk\n\n[Tell us what’s stuck](https://bild.systems/contact)\n",
"markdownStats": {
"images": 5,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 9
},
"tokens": {
"htmlTokens": 17043,
"markdownTokens": 395,
"reduction": 16648,
"reductionPercent": 98
},
"score": {
"score": 90,
"grade": "A",
"rubricVersion": 2,
"dimensions": {
"accessibility": {
"score": 81,
"weight": 30,
"grade": "B",
"checks": {
"content_without_js": {
"score": 100,
"weight": 55,
"evidence": "proven",
"details": "Content available without JavaScript"
},
"fast_content_position": {
"score": 25,
"weight": 25,
"evidence": "plausible",
"details": "Main content starts at 72% of HTML"
},
"reasonable_page_size": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Page size: 53KB"
}
}
},
"aiDiscoverability": {
"score": 95,
"weight": 25,
"grade": "A",
"checks": {
"robots_allows_ai_bots": {
"score": 100,
"weight": 35,
"evidence": "proven",
"details": "All major AI search bots allowed"
},
"supports_markdown_negotiation": {
"score": 85,
"weight": 20,
"evidence": "plausible",
"details": "Application level — Content negotiation, .md URL (https://bild.systems/index.md), <link> tag"
},
"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": 100,
"weight": 10,
"evidence": "speculative",
"details": "llms.txt exists and is valid"
},
"has_content_signals": {
"score": 80,
"weight": 10,
"evidence": "speculative",
"details": "robots.txt: search=yes, ai-input=yes, ai-train=no | Policy included"
}
}
},
"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: 120 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-AU\""
}
}
},
"semanticHtml": {
"score": 97,
"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 both <article> and <main>"
},
"semantic_elements": {
"score": 87,
"weight": 20,
"evidence": "plausible",
"details": "21 semantic elements, 59 divs (ratio: 26%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No informative images (5 decorative)"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "Avg div depth: 1.3, max: 3"
}
}
},
"contentEfficiency": {
"score": 73,
"weight": 10,
"grade": "C",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "98% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 25,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 53KB"
},
"minimal_inline_styles": {
"score": 50,
"weight": 10,
"evidence": "speculative",
"details": "9/259 elements with inline styles (3.5%)"
}
}
}
}
},
"recommendations": [
{
"id": "move_content_earlier",
"priority": "critical",
"category": "accessibility",
"titleKey": "rec.move_content_earlier.title",
"descriptionKey": "rec.move_content_earlier.description",
"howToKey": "rec.move_content_earlier.howto",
"effort": "moderate",
"estimatedImpact": 5.6,
"maxImpact": 7.5,
"evidence": "plausible",
"checkScore": 25,
"checkDetails": "Main content starts at 72% of HTML"
},
{
"id": "improve_content_ratio",
"priority": "medium",
"category": "contentEfficiency",
"titleKey": "rec.improve_content_ratio.title",
"descriptionKey": "rec.improve_content_ratio.description",
"howToKey": "rec.improve_content_ratio.howto",
"effort": "moderate",
"estimatedImpact": 2.3,
"maxImpact": 3,
"evidence": "speculative",
"checkScore": 25,
"checkDetails": "Content ratio: 5.4% (2887 content chars / 53900 HTML bytes)"
},
{
"id": "remove_inline_styles",
"priority": "low",
"category": "contentEfficiency",
"titleKey": "rec.remove_inline_styles.title",
"descriptionKey": "rec.remove_inline_styles.description",
"howToKey": "rec.remove_inline_styles.howto",
"effort": "moderate",
"estimatedImpact": 0.5,
"maxImpact": 1,
"evidence": "speculative",
"checkScore": 50,
"checkDetails": "9/259 elements with inline styles (3.5%)"
}
],
"llmsTxtPreview": "# bild\n\n> bild designs and builds agent workflows around the way your team already works — taking repetitive operations off your plate without taking judgment out of the room.\n\n## Documentation\n- [FAQ](https://bild.systems/faq)\n\n## Main\n- [bild — Automation, made human.](https://bild.systems/?aaa): bild builds agent workflows around the way your team already works — busywork off your plate, judgment kept in the room.\n- [About](https://bild.systems/about)\n- [Workflows](https://bild.systems/workflows)\n- [Approach](https://bild.systems/approach)\n- [Thinking](https://bild.systems/thinking)\n- [Security](https://bild.systems/security)\n\n## Legal\n- [Privacy](https://bild.systems/privacy)\n- [Terms](https://bild.systems/terms)\n\n## Support\n- [FAQ](https://bild.systems/faq)\n- [Tell us what's stuck →](https://bild.systems/contact)\n\n",
"llmsTxtExisting": "# bild\n\n> bild (bild systems) is an automation and AI agent-workflow consultancy. We design and build agent workflows around the way a team already works — their existing stack, protocols and security guardrails — taking repetitive operations off their plate without taking judgment out of the room. Every workflow keeps named human checkpoints (the agent drafts, the team approves) and the success number is agreed before work starts.\n\nKey facts:\n\n- Positioning line: \"We build the systems that do the busywork, so people can do the good work.\"\n- Tagline: \"Automation, made human.\"\n- Nothing bild builds is fully autonomous — human checkpoints are method, not marketing.\n- Workflows are built on the client's existing tools; bild resells no platform.\n- Contact: [email protected]\n- The name is always lowercase: \"bild\", never \"Bild\".\n- Every page is also served as markdown: append `.md` to the path (e.g. https://bild.systems/approach.md, homepage: https://bild.systems/index.md) or request any page URL with `Accept: text/markdown`.\n- The whole site in one request: https://bild.systems/llms-full.txt (this file plus the full text of every page and field note).\n\n## Pages\n\n- [Home](https://bild.systems/): what bild does and holds to\n- [Workflows](https://bild.systems/workflows): the three engagements — Operations Audit (two weeks to find and rank the work worth automating), Workflow Build (ship the agent workflow for one stuck process), Ongoing Care (hold the workflow after it ships)\n- [Approach](https://bild.systems/approach): the method — find the work in the way, agree the number, build around the stack with named checkpoints, run quiet and keep the record\n- [Thinking](https://bild.systems/thinking): field notes — short observations from inside operations\n- [About](https://bild.systems/about): the origin story — bild automated its own agency's operations first; clients asked for the method\n- [FAQ](https://bild.systems/faq): common questions on team impact, messy processes, reliability, data safety and how engagements start\n- [Contact](https://bild.systems/contact): the enquiry form — \"Tell us what's stuck\"\n\n## Optional\n\n- [Privacy](https://bild.systems/privacy)\n- [Security](https://bild.systems/security)\n- [Terms](https://bild.systems/terms)",
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://bild.systems/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://bild.systems/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://bild.systems/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://bild.systems/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://bild.systems/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://bild.systems/.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": "Cloudflare",
"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": []
}
Usa nuestra API para obtener esto de forma programática (próximamente)
Este JSON es para uso interno — a diferencia del Markdown y llms.txt, no está pensado para subirse a tu web. Guárdalo como referencia para seguir la evolución de tu puntuación, compártelo con tu equipo de desarrollo o intégralo en tu pipeline CI/CD.
Comparte tus resultados
O pide a una IA que te ayude a mejorarlo
¿Quieres una segunda opinión?
Cloudflare tiene un escáner gratuito y hace una pregunta distinta a la nuestra. Ellos puntúan lo que tu sitio publica para que los agentes lo invoquen: MCP server cards, Agent Skills, catálogos de API, registros DNS. Nosotros puntuamos si un agente puede llegar a tu contenido, leerlo y entenderlo. Un sitio puede ir bien en uno y mal en el otro, así que cuenta con ver dos cifras distintas: son respuestas a dos preguntas distintas, y las dos merecen conocerse.
Analizar bild.systems con CloudflareIncrusta tu badge
Añade este badge a tu sitio. Se actualiza automáticamente cuando cambie tu puntuación.
<script src="https://agentready.md/badge.js" data-id="1c0b55cb-b747-40cb-a1c0-81175794d5d2" data-domain="bild.systems"></script>
[](https://agentready.md/es/r/1c0b55cb-b747-40cb-a1c0-81175794d5d2)
Próximamente: Análisis de dominio completo
Rastrea todo tu dominio, genera llms.txt y monitoriza tu puntuación de preparación para IA a lo largo del tiempo. Únete a la lista de espera para recibir notificaciones.
¡Estás en la lista! Te avisaremos cuando se lance.