Score global de préparation IA
Résultat combiné de tous les signaux de l’audit.
Score global de préparation IA
Résultat combiné de tous les signaux de l’audit.
Évaluation globale de préparation IA
mlllm.io (mlllm.io) a obtenu 81/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt avait aucun fichier accessible et ai.txt était introuvable. L’analyse de robots.txt a trouvé 7 robots IA explicitement autorisés, 0 bloqués et 2 sitemaps déclarés. La complétude du balisage de la page d’accueil atteint 80% ; types Schema.org détectés : WebSite, Organization, Person, CollectionPage. Balises OpenGraph détectées : 6. Les résultats correspondent aux réponses publiques observées le 2026-07-21T04:44:06.895Z.
L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible.
robots.txt est disponible ; robots IA bloqués : 0. Sitemaps déclarés : 2. Types Schema.org : WebSite, Organization, Person.
Profil Lighthouse mobile : performance 100/100, accessibilité 96/100, SEO 92/100.
Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.
Performance
Accessibilité
Bonnes pratiques
SEO technique
Agentic Browsing
La page mobile s’affiche efficacement ; le plus grand contenu visible est apparu en 1.1 s.
Accessibilité : 96/100, bonnes pratiques : 100/100, SEO technique : 92/100. La catégorie expérimentale Agentic Browsing atteint 67/100 et reste distincte du score global de LLMSMap.
Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.
Servez des formats modernes adaptés, donnez la priorité au visuel principal et chargez tardivement le contenu sous la ligne de flottaison.
Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.
Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.
Premier contenu
Contenu principal
Stabilité visuelle
Temps de blocage
Vitesse visuelle
Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.
La version complète est introuvable
Le fichier ai.txt est introuvable
2 sitemaps trouvés
Types : WebSite, Organization, Person, CollectionPage
6 balises OpenGraph trouvées
D’après l’analyse de robots.txt
Parcours de découverte déclarés pour les robots et les agents.
Métadonnées d’aperçu social détectées sur la page d’accueil.
og:typewebsiteog:titlemlllm.io - Live AI news and builder labog:descriptionLive AI news from TG-NEWS, English translations, Russian source editions, explainers, projects, and source-backed context.og:urlhttps://mlllm.io/og:image:altmlllm.io - Live AI news and builder labEntités et propriétés structurées exposées sur la page d’accueil.
namemlllm.iourlhttps://mlllm.io/publisher{"@id":"https://mlllm.io/#organization"}logohttps://mlllm.io/assets/mlllm-og-card.svgsameAshttps://github.com/sergekostenchuk, https://t.me/Serge_Kost, https://www.threads.com/@sergekostdescriptionLive AI news, explainers, projects, and source-backed editorial infrastructure.inLanguageenauthor{"@id":"https://mlllm.io/about/#person"}# mlllm.io mlllm.io is a public AI news and builder lab by Sergey Kostenchuk. It publishes short AI news briefs, expanded source-backed articles, public project pages, and practical notes about AI publishing pipelines, agent workflows, and LLM quality gates. ## Key Sections - https://mlllm.io/start/ - First-reader guide to the site model, feeds, explainers, RSS, and llms.txt. - https://mlllm.io/news/ - English short-news index for current AI signals. - https://mlllm.io/ru/news/ - Russian short-news index. - https://mlllm.io/articles/ - Expanded English articles linked from short news. - https://mlllm.io/ru/articles/ - Expanded Russian articles linked from short news. - https://mlllm.io/topics/ - Evergreen topic pages about the site architecture and publishing model. - https://mlllm.io/projects/ - Public systems and open-source work behind the site. - https://mlllm.io/blog/ - English builder notes and author essays. - https://mlllm.io/ru/blog/ - Russian builder notes and author essays. - https://mlllm.io/rss.xml - RSS 2.0 feed for current English AI news briefs. - https://mlllm.io/about/ - Author profile and editorial scope. - https://mlllm.io/community/ - Telegram, Threads, GitHub, and public collaboration links. ## Best Used For - Building an AI news pipeline -> https://mlllm.io/topics/ai-news-pipeline/ - Understanding TG-NEWS -> https://mlllm.io/projects/tg-news/ - Inspecting a live cursor-trail reveal Agent Skills demo -> https://mlllm.io/projects/mouse-trail-masking-reveal/ - Designing LLM publication QA gates -> https://mlllm.io/topics/llm-publication-qa/ - Structuring one brief and one longform article per story -> https://mlllm.io/topics/story-surface-contract/ ## Author Essays - https://mlllm.io/ru/blog/skill-kotoryy-sozdaet-skilly/ - Скилл, который создаёт скиллы. Авторская статья о Skill Creator V2 как мета-скилле для создания других agent skills: сначала классифицировать работу, определить риск и evidence, сгенерировать skill, проверить, упаковать и оставить будущие skills тестируемыми. - /ru/blog/glubokaya-taksonomiya-klassov-skillov-dlya-skill-creator-v2/ - Глубокая таксономия классов скиллов для Skill Creator V2. Очищенная публичная companion note к Skill Creator V2. Объясняет, почему плоская таксономия скиллов ломается, какие шесть осей используются, как отличать class, subclass, tag и tool surface, и как таксономия влияет на evidence gates и skill groups. - https://mlllm.io/blog/the-skill-that-builds-skills/ - The Skill That Builds Skills. An author essay about Skill Creator V2 as a meta-skill for creating other agent skills: classify the work first, define risk and evidence, generate the skill, review it, package it, and keep future skills testable and auditable. - /blog/deep-skill-class-taxonomy-for-skill-creator-v2/ - Deep Skill Class Taxonomy for Skill Creator V2. A cleaned public companion research note for Skill Creator V2. It explains why flat skill taxonomies break, what six axes are used, when something is a class, subclass, tag, or tool surface, and how the taxonomy affects evidence gates and skill groups. - https://mlllm.io/ru/blog/kak-mouse-trail-masking-reveal-stal-agent-skill/ - Как Mouse Trail Masking Reveal стал Agent Skill. Авторская статья о Mouse Trail Masking Reveal: связке из двух Agent Skills, которая проверяет совпадение base/reveal изображений и строит canvas-based soft cursor-trail reveal hero с maskCanvas, revealCanvas, настройками эффекта и browser validation. - https://mlllm.io/blog/how-mouse-trail-masking-reveal-became-an-agent-skill/ - How Mouse Trail Masking Reveal Became an Agent Skill. An author essay about Mouse Trail Masking Reveal: a two-skill Agent Skills workflow that validates base/reveal image alignment and builds a canvas-based soft cursor-trail reveal hero with maskCanvas, revealCanvas, tuning controls, and browser validation. - https://mlllm.io/ru/blog/kak-rabota-nad-seo-llm-mlllm-io-prevratilas-v-sistemu-skills/ - Как работа над SEO/LLM mlllm.io превратилась в систему skills. Авторская статья о том, как SEO и LLM-friendly оптимизация mlllm.io превратилась в переиспользуемую группировку Codex skills с оркестрацией, валидацией, schema, crawler access, перелинковкой, UX и task-plan процессом. - https://mlllm.io/blog/how-mlllm-io-seo-llm-work-became-a-skill-cluster/ - How mlllm.io SEO/LLM Work Became a Skill Cluster. An author essay about turning the SEO and LLM-friendly optimization work behind mlllm.io into a reusable Codex skill cluster with orchestration, validation, schema, crawler access, link architecture, UX, and task-plan based execution. - https://mlllm.io/ru/blog/kak-ya-sozdal-ai-skill-senior-xray-vpn-architect/ - Как я создал AI-скилл Senior Xray VPN Architect. Авторская статья о проектировании AI-скилла Senior Xray VPN Architect для легитимной приватной VPN/proxy-инфраструктуры: роль, safety-границы, режимы работы, reference-файлы, split tunneling, client compatibility, DNS/routing, актуализация источников, линтер и monitoring. - https://mlllm.io/blog/how-i-built-the-senior-xray-vpn-architect-ai-skill/ - How I Built the Senior Xray VPN Architect AI Skill. An author essay about designing the Senior Xray VPN Architect AI skill for legitimate private VPN/proxy infrastructure: role, safety boundaries, work modes, reference files, split tunneling, client compatibility, DNS/routing, source freshness, linting, and monitoring. ## Do Not Use - https://mlllm.io/admin/ - private admin area. - https://mlllm.io/api/ - private/admin and ingestion APIs. - https://mlllm.io/plans/ - internal planning artifacts. - https://mlllm.io/server/ - internal server code paths. - Draft, unpublished, or unreviewed locale URLs.
Des sites au score de préparation IA proche — comparez leur llms.txt et leur balisage.