URL analizada
https://iamsunildev.in
Medido hace 2 semanas
Puntuación AI-Ready
Aceptable
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.
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Lo que medimos No JSON-LD / Schema.org found
No se encontraron datos estructurados de Schema.org. JSON-LD ayuda a los AI agents a extraer información factual y estructurada de tus páginas.
Cómo implementarlo
Añade un bloque <script type="application/ld+json"> con marcado Schema.org. Usa los tipos apropiados: Article para entradas de blog, Product para productos, Organization para la página de tu empresa.
Lo que medimos No Markdown for Agents support detected
Tu sitio no soporta Markdown for Agents. Este estándar de Cloudflare permite a los agentes IA solicitar contenido en formato markdown, reduciendo el uso de tokens en ~80%.
Cómo implementarlo
Implementa uno o más: (1) Responder a Accept: text/markdown con contenido markdown. (2) Servir URLs .md (ej: /pagina.md). (3) Añadir etiquetas <link rel="alternate" type="text/markdown">. (4) Añadir cabeceras HTTP Link para descubrimiento markdown.
Lo que medimos 0/3 OG tags present
Faltan etiquetas Open Graph o están incompletas. Las etiquetas OG ayudan a los AI agents (y plataformas sociales) a comprender el título, la descripción y la imagen de tu página.
Cómo implementarlo
Añade las meta etiquetas og:title, og:description y og:image en el <head> de tu página.
Lo que medimos No sitemap found
No se encontró un sitemap. Un sitemap ayuda a los AI agents a descubrir todas las páginas de tu sitio.
Cómo implementarlo
Crea un /sitemap.xml con todas tus páginas públicas. La mayoría de los CMS pueden generarlo automáticamente.
Lo que medimos No canonical URL
No se encontró URL canónica. Esto ayuda a los AI agents a identificar la versión preferida de una página y evitar contenido duplicado.
Cómo implementarlo
Añade una etiqueta <link rel="canonical" href="..."> apuntando a la URL canónica de la página.
Lo que medimos No llms.txt found
Tu sitio no tiene un archivo llms.txt. Este es el estándar emergente para ayudar a los AI agents a comprender la estructura de tu sitio.
Cómo implementarlo
Crea un archivo /llms.txt siguiendo la especificación de llmstxt.org. Incluye una descripción del sitio y enlaces a tus páginas principales.
Lo que medimos No Content-Signal found (robots.txt or HTTP headers)
No se encontraron directivas Content-Signal. Estas indican a los agentes IA cómo pueden usar tu contenido (indexación, entrada IA, datos de entrenamiento). La ubicación recomendada es robots.txt.
Cómo implementarlo
Añade Content-Signal a tu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. También puedes añadirlo como cabecera HTTP en respuestas markdown.
Lo que medimos 10 semantic elements, 70 divs (ratio: 13%)
Tu página depende en gran medida de elementos <div>. Los elementos semánticos como <section>, <nav>, <header>, <footer> y <aside> proporcionan una estructura significativa para los AI agents.
Cómo implementarlo
Reemplaza los contenedores <div> genéricos con los elementos semánticos apropiados. Usa <section> para grupos temáticos, <nav> para navegación, <header>/<footer> para cabeceras y pies de página o sección.
👨💻 Hello, I'm Senior Software Engineer Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end. [Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode") Full-Stack Engineer 4+ Years of Experience 30% Cloud Cost Savings 50% Faster CI/CD Builds 1000+ LeetCode Problems Toolbox ## Skills ### Languages TypeScriptJavaScriptPythonSQL ### Frameworks ReactTanstack StartAngularExpress.jsNestJSReduxZustand ### Platforms AWSGoogle CloudCloudflareVercel ### Databases / ORMs PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize ### Tools DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm ### CS Fundamentals LinuxData StructuresAlgorithms1000+ LeetCode Problems Where I've Worked ## Experience Mar 2025 - Present - Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability. - Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel. - Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run. - Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity. - Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance. - Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%. Jun 2022 - Mar 2025 - Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery. - Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience. - Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow. - Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt. - Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions. - Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency. - Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement. Things I've Built ## Projects ### Cloud Transcoder A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions. PythonDockerS3EC2CloudWatchCloudFront [Code](https://github.com/iamsunildev/cloud-transcoder) ### Audio House A audio chat application made with React, Typescript, Stream.io ReactTypeScriptStream.ioNode.jsExpress.js [Code](https://github.com/iamsunildev/audio-house) ### Ping Point A real time chat application, with individual/group chats, profiles, sharing media files and more. ReactTypeScriptNode.jsPostgreSQLSocket.io [Code](https://github.com/iamsunildev/ping-point) Bragging Rights ## Achievements Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs. Graduated with distinction — ranked 1st in BSc Computer Technology (2022). Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines. Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth. Where I Studied ## Education Jun 2023 - May 2025 [### SRM University](https://www.srmist.edu.in/ "Visit SRM University") MCA (Computer Application) Tamil Nadu, India
Sunil J — Senior Software Engineer [Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf) 👨💻 Hello, I'm # Sunil J Senior Software Engineer Senior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end. [Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev "GitHub")[](https://linkedin.com/in/iamsunildev "LinkedIn")[](https://leetcode.com/iamsunildev "LeetCode") 👨💻Sunil JSenior Software Engineer  Full-Stack Engineer 4+ Years of Experience 30% Cloud Cost Savings 50% Faster CI/CD Builds 1000+ LeetCode Problems Toolbox## Skills ### Languages TypeScriptJavaScriptPythonSQL ### Frameworks ReactTanstack StartAngularExpress.jsNestJSReduxZustand ### Platforms AWSGoogle CloudCloudflareVercel ### Databases / ORMs PostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize ### Tools DockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm ### CS Fundamentals LinuxData StructuresAlgorithms1000+ LeetCode Problems Where I've Worked## Experience [### Whizlabs](https://www.whizlabs.com/ "Visit Whizlabs") Senior Software Engineer Mar 2025 - Present - Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability. - Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel. - Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run. - Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity. - Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance. - Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%. [### Iamneo.ai](https://iamneo.ai/ "Visit Iamneo.ai") Software Engineer Jun 2022 - Mar 2025 - Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery. - Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience. - Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow. - Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt. - Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions. - Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency. - Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement. Things I've Built## Projects ### Cloud Transcoder A cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions. PythonDockerS3EC2CloudWatchCloudFront [Code](https://github.com/iamsunildev/cloud-transcoder) ### Audio House A audio chat application made with React, Typescript, Stream.io ReactTypeScriptStream.ioNode.jsExpress.js [Code](https://github.com/iamsunildev/audio-house) ### Ping Point A real time chat application, with individual/group chats, profiles, sharing media files and more. ReactTypeScriptNode.jsPostgreSQLSocket.io [Code](https://github.com/iamsunildev/ping-point) Bragging Rights## Achievements ### Algorithmic Depth Solved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs. ### Ranked 1st in UG Graduated with distinction — ranked 1st in BSc Computer Technology (2022). ### Whizlabs Recognition Recognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines. ### Iamneo Awards Awarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth. Where I Studied## Education Jun 2023 - May 2025 [### SRM University](https://www.srmist.edu.in/ "Visit SRM University") MCA (Computer Application) Tamil Nadu, India Jul 2019 - May 2022 [### VLB College of Arts and Science](https://www.vlbjcas.ac.in/ "Visit VLB College of Arts and Science") BSc (Computer Technology) Tamil Nadu, India
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.
llms.txt generado para esta página individual
# iamsunildev.in > Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP. ## Main - [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW… - [Sunil J.](https://iamsunildev.in/) - [Resume](https://iamsunildev.in/resume.pdf)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://iamsunildev.in/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.
Accesibilidad
Content available without JavaScript
Main content starts at 6% of HTML
Page size: 42KB
Visibilidad para IA
All major AI search bots allowed
No sitemap found
robots.txt exists
No llms.txt found
Datos estructurados
No JSON-LD / Schema.org found
0/3 OG tags present
Meta description: 127 chars
No canonical URL
lang="en"
HTML semántico
Clean heading hierarchy
Has <main>
10 semantic elements, 70 divs (ratio: 13%)
No informative images (2 decorative)
Avg div depth: 2.0, max: 4
Eficiencia del contenido
93% token reduction (HTML→Markdown)
Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)
HTML size: 42KB
0/371 elements with inline styles (0.0%)
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"markdown": "👨💻 Hello, I'm\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox\n\n## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked\n\n## Experience\n\nMar 2025 - Present\n\n- Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n- Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n- Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; now reliably handles 30K+ users in a single run.\n- Architected a License Management System replacing legacy direct course enrollment with a license-seat model supporting rotation, lifecycle states, and grace periods, giving enterprise clients real-time visibility into purchased vs used capacity.\n- Mentored 2 interns on codebase architecture, code review practices, and production workflows; both converted to full-time engineers based on delivery and performance.\n- Optimized CI/CD pipelines by migrating from npm to pnpm, restructuring Dockerfiles for better layer caching, and parallelizing build steps — cutting build times by ~50% and pipeline cost by ~30%.\n\nJun 2022 - Mar 2025\n\n- Led the end-to-end development of the PAT Workflow application from initial scoping through production rollout, owning architecture, API design, and frontend delivery.\n- Migrated workloads from VM instance groups to Kubernetes (GKE), introducing horizontal pod autoscaling and resource limits that reduced infrastructure spend by ~30% while improving traffic-spike resilience.\n- Built a CI/CD pipeline on Google Cloud Build and GitHub Actions with automated tests, image builds, and staged deploys — taking deployments from a manual multi-step process to a single merge-to-deploy flow.\n- Upgraded Node.js and packages, migrated codebase to TypeScript, and introduced comprehensive unit tests, achieving 99% endpoint reliability and reduced technical debt.\n- Led a project to optimize unused AWS resources by categorizing each based on purpose and implementing S3 bucket expiration policies, resulting in substantial annual cost reductions.\n- Optimized SQL queries, reducing execution time by over ~80%, significantly improving database performance and overall system efficiency.\n- Owned frontend feature delivery for the platform, improving responsiveness across devices and shipping UX changes that improved page load and user engagement.\n\nThings I've Built\n\n## Projects\n\n### Cloud Transcoder\n\nA cloud-native transcoder built with AWS Lambda and S3 to convert videos to different formats and resolutions.\n\nPythonDockerS3EC2CloudWatchCloudFront\n\n[Code](https://github.com/iamsunildev/cloud-transcoder)\n\n### Audio House\n\nA audio chat application made with React, Typescript, Stream.io\n\nReactTypeScriptStream.ioNode.jsExpress.js\n\n[Code](https://github.com/iamsunildev/audio-house)\n\n### Ping Point\n\nA real time chat application, with individual/group chats, profiles, sharing media files and more.\n\nReactTypeScriptNode.jsPostgreSQLSocket.io\n\n[Code](https://github.com/iamsunildev/ping-point)\n\nBragging Rights\n\n## Achievements\n\nSolved 1,000+ LeetCode problems and earned 25+ badges across DSA topics including DP and Graphs.\n\nGraduated with distinction — ranked 1st in BSc Computer Technology (2022).\n\nRecognized twice for delivering the LTI 1.3 enterprise integration and resolving high-priority production issues under tight deadlines.\n\nAwarded Neo Champion, Shining Star, and Rookie Neo for overall performance, team contribution, and rapid early-career growth.\n\nWhere I Studied\n\n## Education\n\nJun 2023 - May 2025\n\n[### SRM University](https://www.srmist.edu.in/ \"Visit SRM University\")\n\nMCA (Computer Application)\n\nTamil Nadu, India\n",
"fullPageMarkdown": "Sunil J — Senior Software Engineer\n\n[Sunil J.](https://iamsunildev.in/#about)[Resume](https://iamsunildev.in/resume.pdf)\n\n👨💻 Hello, I'm\n\n# Sunil J\n\nSenior Software Engineer\n\nSenior Software Engineer with 4+ years of experience building scalable cloud-native applications, distributed systems, and enterprise SaaS products across AWS and GCP. I focus on reliable platform engineering, cost optimization, and delivering high-impact features end-to-end.\n\n[Contact Me](https://iamsunildev.in/#contact)[](https://github.com/iamsunildev \"GitHub\")[](https://linkedin.com/in/iamsunildev \"LinkedIn\")[](https://leetcode.com/iamsunildev \"LeetCode\")\n\n👨💻Sunil JSenior Software Engineer\n\n\n\nFull-Stack Engineer\n\n4+\n\nYears of Experience\n\n30%\n\nCloud Cost Savings\n\n50%\n\nFaster CI/CD Builds\n\n1000+\n\nLeetCode Problems\n\nToolbox## Skills\n\n### Languages\n\nTypeScriptJavaScriptPythonSQL\n\n### Frameworks\n\nReactTanstack StartAngularExpress.jsNestJSReduxZustand\n\n### Platforms\n\nAWSGoogle CloudCloudflareVercel\n\n### Databases / ORMs\n\nPostgreSQLMySQLRedisFirebaseElasticsearchPrismaSequelize\n\n### Tools\n\nDockerKubernetesS3EC2LambdaSQSECSCloud RunCloud FunctionsPub/SubSentryCloudWatchGitHub ActionsCloud Buildpnpm\n\n### CS Fundamentals\n\nLinuxData StructuresAlgorithms1000+ LeetCode Problems\n\nWhere I've Worked## Experience\n\n[### Whizlabs](https://www.whizlabs.com/ \"Visit Whizlabs\")\n\nSenior Software Engineer\n\nMar 2025 - Present\n\n- Led frontend modernization of a production React/TypeScript monolith — migrated from CRA to Vite and integrated React Compiler, improving build times, page load, and long-term maintainability.\n- Implemented LTI 1.3 integrations to onboard 5+ enterprise LMS partners, reducing per-client integration time from days to minutes and unblocking a key revenue channel.\n- Designed a bulk user onboarding pipeline using AWS SQS, S3 event notifications, and Lambda with chunked processing and retries — replacing a synchronous flow that timed out beyond a few hundred users; 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"weight": 15,
"evidence": "plausible",
"details": "No 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": 30,
"weight": 20,
"grade": "F",
"checks": {
"has_schema_org": {
"score": 0,
"weight": 35,
"evidence": "proven",
"details": "No JSON-LD / Schema.org found"
},
"has_open_graph": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "0/3 OG tags present"
},
"has_meta_description": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Meta description: 127 chars"
},
"has_canonical_url": {
"score": 0,
"weight": 15,
"evidence": "plausible",
"details": "No canonical URL"
},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "lang=\"en\""
}
}
},
"semanticHtml": {
"score": 88,
"weight": 15,
"grade": "B",
"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": 42,
"weight": 20,
"evidence": "plausible",
"details": "10 semantic elements, 70 divs (ratio: 13%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No informative images (2 decorative)"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "Avg div depth: 2.0, max: 4"
}
}
},
"contentEfficiency": {
"score": 85,
"weight": 10,
"grade": "B",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "93% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 50,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 10.0% (4360 content chars / 43385 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 42KB"
},
"minimal_inline_styles": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "0/371 elements with inline styles (0.0%)"
}
}
}
}
},
"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",
"howToStepKeys": null,
"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",
"howToStepKeys": null,
"effort": "significant",
"estimatedImpact": 5,
"maxImpact": 5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"id": "add_open_graph",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_open_graph.title",
"descriptionKey": "rec.add_open_graph.description",
"howToKey": "rec.add_open_graph.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 4,
"maxImpact": 4,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "0/3 OG tags present"
},
{
"id": "add_sitemap",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_sitemap.title",
"descriptionKey": "rec.add_sitemap.description",
"howToKey": "rec.add_sitemap.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 3.8,
"maxImpact": 3.8,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No sitemap found"
},
{
"id": "add_canonical_url",
"priority": "high",
"category": "structuredData",
"titleKey": "rec.add_canonical_url.title",
"descriptionKey": "rec.add_canonical_url.description",
"howToKey": "rec.add_canonical_url.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 3,
"maxImpact": 3,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No canonical URL"
},
{
"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)"
},
{
"id": "add_semantic_elements",
"priority": "medium",
"category": "semanticHtml",
"titleKey": "rec.add_semantic_elements.title",
"descriptionKey": "rec.add_semantic_elements.description",
"howToKey": "rec.add_semantic_elements.howto",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 1.7,
"maxImpact": 3,
"evidence": "plausible",
"checkScore": 42,
"checkDetails": "10 semantic elements, 70 divs (ratio: 13%)"
}
],
"llmsTxtPreview": "# iamsunildev.in\n\n> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\n\n## Main\n- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…\n- [Sunil J.](https://iamsunildev.in/)\n- [Resume](https://iamsunildev.in/resume.pdf)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://iamsunildev.in/.well-known/api-catalog"
},
"agentSkills": {
"exists": false,
"url": "https://iamsunildev.in/.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": [
{
"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": "# iamsunildev.in\n\n> Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\n\n## Main\n- [Sunil J — Senior Software Engineer](https://iamsunildev.in): Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AW…\n- [Sunil J.](https://iamsunildev.in/)\n- [Resume](https://iamsunildev.in/resume.pdf)\n\n",
"filename": "/llms.txt"
},
{
"id": "add_open_graph",
"title": "Add missing Open Graph tags",
"description": "Open Graph tags control how your page looks when shared on social media and how AI platforms preview your URL in answers.",
"language": "html",
"code": "<meta property=\"og:title\" content=\"Sunil J — Senior Software Engineer\">\n<meta property=\"og:description\" content=\"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://iamsunildev.in\">\n<meta property=\"og:type\" content=\"website\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<meta property=\"og:title\" content=\"Sunil J — Senior Software Engineer\">\n<meta property=\"og:description\" content=\"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\">\n<meta property=\"og:image\" content=\"https://yoursite.com/og-image.jpg\">\n<meta property=\"og:url\" content=\"https://iamsunildev.in\">\n<meta property=\"og:type\" content=\"website\">"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Quick Open Graph tags without a plugin (skip if Yoast / Rank Math is active)\nadd_action('wp_head', function () {\n if (!is_singular()) return;\n $post = get_queried_object();\n $title = get_the_title($post);\n $desc = get_the_excerpt($post) ?: wp_trim_words(strip_tags($post->post_content), 30);\n $image = get_the_post_thumbnail_url($post, 'large') ?: 'https://yoursite.com/og-image.jpg';\n $url = get_permalink($post);\n printf('<meta property=\"og:title\" content=\"%s\">' . \"\\n\", esc_attr($title));\n printf('<meta property=\"og:description\" content=\"%s\">' . \"\\n\", esc_attr($desc));\n printf('<meta property=\"og:image\" content=\"%s\">' . \"\\n\", esc_url($image));\n printf('<meta property=\"og:url\" content=\"%s\">' . \"\\n\", esc_url($url));\n echo '<meta property=\"og:type\" content=\"article\">' . \"\\n\";\n}, 5);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page.tsx",
"code": "// Next.js App Router — Metadata API\nimport type { Metadata } from 'next';\n\nexport const metadata: Metadata = {\n title: \"Sunil J — Senior Software Engineer\",\n description: \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n openGraph: {\n title: \"Sunil J — Senior Software Engineer\",\n description: \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n url: \"https://iamsunildev.in\",\n images: [\"https://yoursite.com/og-image.jpg\"],\n type: 'website',\n },\n};"
}
]
},
{
"id": "add_canonical_url",
"title": "Add canonical URL",
"description": "The canonical URL tells AI agents which version of the page is the \"official\" one, avoiding duplicate content issues.",
"language": "html",
"code": "<link rel=\"canonical\" href=\"https://iamsunildev.in\">",
"filename": "<head>"
},
{
"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\": \"Sunil J — Senior Software Engineer\",\n \"description\": \"Senior Software Engineer with 4+ years of experience building event-driven systems and cloud-native architectures on AWS & GCP.\",\n \"url\": \"https://iamsunildev.in\",\n \"inLanguage\": \"en\"\n}\n</script>",
"filename": "<head>"
},
{
"id": "add_sitemap",
"title": "Create /sitemap.xml",
"description": "A sitemap helps AI agents discover all your pages. Most CMS platforms generate one automatically.",
"language": "xml",
"code": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n <url>\n <loc>https://iamsunildev.in</loc>\n <lastmod>2026-10-03</lastmod>\n </url>\n</urlset>",
"filename": "/sitemap.xml"
},
{
"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\">"
}
]
}
]
}
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.
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