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Audit technique indépendant

logsheet.ai

logsheet.ai

Score global de préparation IA

Résultat combiné de tous les signaux de l’audit.

65sur 100Moyen
Audit de préparation IA: 22/09/2026Données techniques publiques

Évaluation globale de préparation IA

Niveau de préparation de logsheet.ai pour les systèmes d’IA

65/100

Производственные журналы (logsheet.ai) a obtenu 65/100 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 0 robots IA explicitement autorisés, 0 bloqués et 1 sitemap déclaré. La complétude du balisage de la page d’accueil atteint 0% ; aucun type Schema.org détecté. Balises OpenGraph détectées : 0. Les résultats correspondent aux réponses publiques observées le 2026-09-22T03:08:30.393Z.

Contexte de l’évaluation

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 et contient 4 156 jetons.

robots.txt est disponible ; robots IA bloqués : 0. Sitemaps déclarés : 1. Aucun type Schema.org détecté.

Profil Lighthouse mobile : performance 28/100, accessibilité 92/100, SEO 100/100.

Points forts confirmés

  • llms.txt est accessible
  • La structure publique du site a été vérifiée
  • 1 sitemap(s) déclaré(s)
  • Les signaux OpenGraph et canoniques ont été vérifiés

Améliorations prioritaires

  1. 1Ajouter llms-full.txt pour fournir un contexte plus riche.
  2. 2Ajouter du JSON-LD pour l’organisation, le site et les entités principales.
Jetons llms.txt4 156
Jetons llms-full.txt—
ai.txt
sitemap.xml

Profil technique Google Lighthouse

Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.

Mobile · Lighthouse
28

Performance

92

Accessibilité

96

Bonnes pratiques

100

SEO technique

100

Agentic Browsing

Interprétation des résultats

La performance mobile est de 28/100 ; le plus grand contenu visible est apparu en 24.2 s et le thread principal a été bloqué pendant 2,350 ms. Le décalage de mise en page est de 0.004. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.

Accessibilité : 92/100, bonnes pratiques : 96/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 100/100 et reste distincte du score global de LLMSMap.

1

Libérer le thread principal et accélérer le premier écran

Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.

2

Réduire le code chargé inutilement

Supprimez le CSS et le JavaScript inutilisés, chargez les widgets lourds à la demande et limitez les scripts tiers.

3

Optimiser les images et leur ordre de chargement

Servez des formats modernes adaptés, donnez la priorité au visuel principal et chargez tardivement le contenu sous la ligne de flottaison.

4

Réduire la latence réseau

Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.

FCP4.7 s

Premier contenu

LCP24.2 s

Contenu principal

CLS0.004

Stabilité visuelle

TBT2,350 ms

Temps de blocage

SI16.2 s

Vitesse visuelle

Glossaire des métriques
FCP · Premier contenu
Moment où le premier texte ou la première image apparaît.
LCP · Contenu principal
Moment où le plus grand élément visible est affiché.
CLS · Stabilité visuelle
Déplacements inattendus pendant le chargement ; une valeur basse est préférable.
TBT · Temps de blocage
Durée pendant laquelle le thread principal ne pouvait pas répondre rapidement.
SI · Vitesse visuelle
Vitesse à laquelle la zone visible s’est remplie de contenu.
22/09/2026Lighthouse 13.5.0Profil mobile

Vérifications de préparation IA

Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.

llms.txt

Fichier trouvé et accessible

https://logsheet.ai/llms.txt
llms-full.txt

La version complète est introuvable

ai.txt

Le fichier ai.txt est introuvable

robots.txt

Fichier trouvé

https://logsheet.ai/robots.txt
Sitemap dans robots.txt1

1 sitemap trouvé

Schema.org (JSON-LD)

Aucun balisage Schema.org trouvé sur la page d’accueil

OpenGraph

Aucune balise OpenGraph trouvée sur la page d’accueil

Accès des robots IA

D’après l’analyse de robots.txt

GPTBotNon mentionné
OAI-SearchBotNon mentionné
ChatGPT-UserNon mentionné
Google-ExtendedNon mentionné
ClaudeBotNon mentionné
Claude-SearchBotNon mentionné
Claude-UserNon mentionné
BytespiderNon mentionné
CCBotNon mentionné
PerplexityBotNon mentionné
Perplexity-UserNon mentionné

Sitemaps

Parcours de découverte déclarés pour les robots et les agents.

# Log Sheet

> Digital log sheets for production, manufacturing, and transport teams. Capture key operational events manually or with a voice AI assistant. Improve accuracy, traceability, and visibility across shift operations.

Log Sheet (logsheet.ai) is a SaaS product built by [i-SOL](https://i-sol.eu) — a consulting and software company focused on digitalization of industrial operations. The platform replaces paper logbooks and Excel-based shift journals with structured digital records, voice-driven data entry, and a GPT-style chat over production data.

Core capabilities:
- Configurable digital log sheets for shift handover, production logs, equipment rounds, repairs, HSE/OHS, transport, and dispatch reports
- Voice AI assistant that lets operators dictate entries hands-free during shifts
- Role-based admin panel for customizing forms, directories, and access
- Real-time operational visibility for managers and dispatchers
- Multi-tenant access with user invitations

Target users: plant operators, dispatchers, shift supervisors, production managers, HSE engineers, fleet operations teams.
Adjacent systems: MES, SCADA, paperless operations stack.

## Product pages

- [Home](https://logsheet.ai/): product overview with embedded demo and signup. Digital log sheets for production, manufacturing, and transport companies — capture key events manually or with a voice assistant, and get reports and dashboards generated automatically.
- [Pricing](https://logsheet.ai/company/pricing): plans that grow with your team. Start free and scale when ready — every plan includes the core platform with voice-driven production logs.

## Industries

- [Industries](https://logsheet.ai/industries): where digital log sheets are used — manufacturing, oil & gas, mining, metals, energy, transport, and field-service operations, replacing paper logbooks.
- [Production logs](https://logsheet.ai/industries/production-logs): production logs for discrete manufacturing, oil and gas, metals, mining, and dozens of process industries — digitising shift and daily production records.
- [Transport logs](https://logsheet.ai/industries/transport-logs): transport log books, mandatory in road haulage, aviation, maritime shipping, and rail transport.
- [Construction logs](https://logsheet.ai/industries/construction-logs): on-site logs to operationally control work progress, inspections, and critical events that affect the project timeline.

## LogSheet Voice AI

- [Voice AI data entry for production logs](https://logsheet.ai/logsheet-voice-ai): dictate entries hands-free with the Voice AI Assistant, or let the Voice AI Bot call operators and capture shift summaries automatically.
- [Voice AI Assistant — fill production logs hands-free](https://logsheet.ai/logsheet-voice-ai/voice-assistant): captures log entries through natural dialogue — operators dictate shift data hands-free from desktop or mobile instead of filling fields manually.
- [Voice AI Bot — collects shift reports by phone call](https://logsheet.ai/logsheet-voice-ai/voice-ai-bot): calls responsible employees on schedule and asks for the data needed to fill the log — shift reports get collected without anyone logging into the system.

## Working with Log Sheet

- [Working with Log Sheet](https://logsheet.ai/working-with-logsheet): how operators fill in digital log sheets and how administrators configure forms, schedules, and integrations to match a real production process.
- [Filling in a logsheet](https://logsheet.ai/working-with-logsheet/fill-in-logsheet): step-by-step data entry guide — manual input, voice assistant, attachments, validation, and how an entry is saved.
- [Customizing the admin panel](https://logsheet.ai/working-with-logsheet/customizing-admin): configure log sheet structure, field lists, maintenance schedule, voice assistant, user access, and data integrations from the admin panel.
- [Mobile version](https://logsheet.ai/working-with-logsheet/mobile-version): fill in production logs from phones and tablets, enabling remote work in any conditions.
- [Operational reports and dashboards](https://logsheet.ai/reporting): build production reports from log sheet data — per shift, per day, or per month, for a single log sheet or the whole company.

## Enterprise Edition

- [Enterprise Edition](https://logsheet.ai/enterprise-edition/integrations): enterprise offering — external-system integrations, on-premise deployment, and custom configuration for large industrial customers.
- [Integrations](https://logsheet.ai/enterprise-edition/integrations): integrate the Production Logs system with MES, SCADA, ERP and other external systems to increase its value for the business.
- [On-prem & customization](https://logsheet.ai/enterprise-edition/onprem-and-customization): install the Electronic Logs system on the customer's own servers and perform the customizations they require.

## Company

- [Company](https://logsheet.ai/company): Logsheet.ai is a product of ISol LP, focused on production process automation for more than 10 years.
- [Partnership](https://logsheet.ai/company/partner-with-us): the team considers various partnership proposals around the Production Logs product.
- [Contacts](https://logsheet.ai/company/contacts): talk to the team about evaluating voice-driven production logs, technical support, sales, or partnerships — replies within one business day.

## Resources

- [FAQ](https://logsheet.ai/frequently-asked-questions): answers to the main questions that come up about Production Logs.
- [Blog](https://logsheet.ai/blog): articles and guides about digital production logs, voice AI data entry, reporting, and mobile work.
- [Blog / Electronic Production Logs: A Brief Overview](https://logsheet.ai/blog/electronic-production-logs)
- [Blog / What Is a Production Logbook and Why It Matters for Shift Management](https://logsheet.ai/blog/production-logbook)
- [Blog / What Fields Should Be Included in a Production Shift Report Template](https://logsheet.ai/blog/shift-report-template)
- [Blog / Paper Production Logbooks vs Digital Logbooks](https://logsheet.ai/blog/paper-vs-digital-logbooks)
- [Blog / How to Turn Production Logs into Management Dashboards](https://logsheet.ai/blog/production-logs-dashboards)
- [Blog / How Voice Input Can Improve Shift Reporting in Manufacturing](https://logsheet.ai/blog/voice-shift-reporting)
- [Blog / What Is a Digital Checklist for Manufacturing — and How It Differs from a Log Sheet](https://logsheet.ai/blog/digital-checklist-manufacturing)
- [Blog / How We Turned Public Energy Data into a Dashboard with LogSheet](https://logsheet.ai/blog/energy-data-to-dashboard)
- [Blog / Analyzing 32,000 Tornado Records with LogSheet](https://logsheet.ai/blog/tornado-records-analysis)

## Use cases

- [Digital shift handover](https://logsheet.ai/use-cases/shift-handover): how to run a shift handover with shift logs, a handover checklist, and a voice bot that calls the outgoing shift and writes the summary — including a free shift handover checklist template.

## Templates

Free log sheet and checklist templates. Each page describes the fields the template contains and opens the same template live in Log Sheet.

- [Templates](https://logsheet.ai/templates): catalogue of log sheet and checklist templates, filterable by type and industry.
- [Daily production log sheet](https://logsheet.ai/templates/daily-production-log-sheet): output by product, downtime with reasons, materials, and the responsible person.
- [Shift log sheet](https://logsheet.ai/templates/shift-log-sheet): events, readings and notes per shift — the digital replacement for the shift journal.
- [Equipment / machine log](https://logsheet.ai/templates/equipment-machine-log): running hours, parameters and maintenance events per unit of equipment.
- [Downtime log](https://logsheet.ai/templates/downtime-log): start, end, duration and categorized reason — ready for Pareto analysis.
- [Maintenance log](https://logsheet.ai/templates/maintenance-log): planned and unplanned work, parts used, cost and executor.
- [Vehicle / trip log sheet](https://logsheet.ai/templates/vehicle-trip-log-sheet): routes, fuel, engine hours and driver — for fleets and delivery.
- [Equipment inspection checklist](https://logsheet.ai/templates/equipment-inspection-checklist): pre-shift equipment checks with pass/fail criteria per unit.
- [Safety (HSE) checklist](https://logsheet.ai/templates/safety-checklist): site and workplace safety rounds with locked results for audits.
- [Shift handover checklist](https://logsheet.ai/templates/shift-handover-checklist): open items, equipment status and notes the incoming shift confirms.
- [Quality control checklist](https://logsheet.ai/templates/quality-control-checklist): acceptance criteria per production stage with accept/reject marks.

## Case studies

Real-world implementations of Log Sheet (Production Logs) across manufacturing, fishing, and construction, with measurable operational outcomes.

- [Case studies](https://logsheet.ai/case-studies/reviews): overview of successful Log Sheet projects — best practices of how digital production logs improve operational data collection and the quality of decisions made on top of it, across industries.
- [EVRAZ — metallurgy & mining](https://logsheet.ai/case-studies/evraz): EVRAZ, a vertically integrated steel, iron ore, coking coal and vanadium producer, digitized hundreds of production logs across its shops. Result: data quality and accuracy improved by more than 30% (reference books, mandatory fields), and the accuracy and timeliness of management decisions increased once Log Sheet data fed into decision-making.
- [Buck Wild Fishing Company — fishing production](https://logsheet.ai/case-studies/buck): a fishing and fishing-tour company in Asia where catch depends on the captain's experience and intuition. Log Sheet captured operational data to support those decisions. Result: catch volume increased by up to 30% and costs reduced by up to 15%.
- [ARBC — construction](https://logsheet.ai/case-studies/autodormoststroy): ARBC (Autodormoststroy) builds motor roads, bridges and surrounding infrastructure, facing on-time/on-budget delivery risks and rapid mobilization of equipment, personnel and subcontractors. Result: time to prepare summary reporting reduced by up to 80%, with better quality of decisions and operational meetings.
- [Home](https://logsheet.ai/): product overview, embedded demo, signup
- [Demo](https://logsheet.ai/demo): interactive demo companies — pick one to see how Log Sheet works
- [Company](https://logsheet.ai/company): information about the company and its projects
- [Industries](https://logsheet.ai/industries): industry verticals where Log Sheet is applied
- [Industries / Production logs](https://logsheet.ai/industries/production-logs): use case for manufacturing and process industries
- [Industries / Transport logs](https://logsheet.ai/industries/transport-logs): use case for fleet and transport operations
- [Industries / Construction logs](https://logsheet.ai/industries/construction-logs): use case for construction sites — work progress, inspections, and critical events
- [LogSheet Voice AI](https://logsheet.ai/logsheet-voice-ai): voice-driven data entry overview
- [LogSheet Voice AI / Voice AI Assistant](https://logsheet.ai/logsheet-voice-ai/voice-assistant): how the Voice AI Assistant works during shifts
- [LogSheet Voice AI / Voice AI Bot](https://logsheet.ai/logsheet-voice-ai/voice-ai-bot): automated outbound voice bot that calls responsible staff and writes log entries
- [Working with Log Sheet](https://logsheet.ai/working-with-logsheet): operator and admin workflows
- [Working with Log Sheet / Mobile Version](https://logsheet.ai/working-with-logsheet/mobile-version): mobile version of log sheets
- [Working with Log Sheet / Customizing the admin panel](https://logsheet.ai/working-with-logsheet/customizing-admin): configuring forms, fields, and directories
- [Working with Log Sheet / Filling in a logsheet](https://logsheet.ai/working-with-logsheet/fill-in-logsheet): step-by-step data entry guide
- [Working with Log Sheet / Reporting](https://logsheet.ai/reporting): building operational reports and dashboards from log data
- [Enterprise Edition / Integrations](https://logsheet.ai/enterprise-edition/integrations): integrations with MES, SCADA, ERP and other systems
- [Enterprise Edition / On-prem & customization](https://logsheet.ai/enterprise-edition/onprem-and-customization): on-premise deployment and custom configuration options
- [Pricing](https://logsheet.ai/company/pricing): plans and pricing
- [Contacts](https://logsheet.ai/company/contacts): how to get in touch with the team
- [Company / Partner with us](https://logsheet.ai/company/partner-with-us): partnership opportunities around the Log Sheet product

## Resources

- [Blog](https://logsheet.ai/blog): articles and guides about digital production logs, voice AI data entry, reporting, and mobile work with Log Sheet
- [Blog / Electronic Production Logs: A Brief Overview](https://logsheet.ai/blog/electronic-production-logs): what a digital production logbook is and how it differs from paper and Excel
- [Blog / What Is a Production Logbook and Why It Matters for Shift Management](https://logsheet.ai/blog/production-logbook): the role of the production logbook in shift management
- [Blog / What Fields Should Be Included in a Production Shift Report Template](https://logsheet.ai/blog/shift-report-template): designing a production shift report template
- [Blog / Paper Production Logbooks vs Digital Logbooks](https://logsheet.ai/blog/paper-vs-digital-logbooks): where factory data gets lost on paper and how mobile capture helps
- [Blog / How to Turn Production Logs into Management Dashboards](https://logsheet.ai/blog/production-logs-dashboards): turning log records into management dashboards
- [Blog / How Voice Input Can Improve Shift Reporting in Manufacturing](https://logsheet.ai/blog/voice-shift-reporting): voice input for shift, daily, and monthly reports
- [Blog / What Is a Digital Checklist for Manufacturing — and How It Differs from a Log Sheet](https://logsheet.ai/blog/digital-checklist-manufacturing): digital checklists for quality control, equipment inspections, and safety rounds
- [Blog / How We Turned Public Energy Data into a Dashboard with LogSheet](https://logsheet.ai/blog/energy-data-to-dashboard): building a dashboard from public EIA energy data with Log Sheet
- [Blog / Analyzing 32,000 Tornado Records with LogSheet](https://logsheet.ai/blog/tornado-records-analysis): analyzing public NOAA tornado data in a Log Sheet dashboard
- [Case Studies](https://logsheet.ai/case-studies/reviews): examples of successful projects built on Log Sheet
- [Case Studies / EVRAZ](https://logsheet.ai/case-studies/evraz): electronic production logs in metallurgical manufacturing
- [Case Studies / Buck Wild Fishing Company](https://logsheet.ai/case-studies/buck): production logs for a fishing company
- [Case Studies / ARBC](https://logsheet.ai/case-studies/autodormoststroy): production logs for a construction company
- [Frequently Asked Questions](https://logsheet.ai/frequently-asked-questions): answers to common questions about Log Sheet

## Keywords (semantic context)

digital log sheet, electronic logbook, production logs, manufacturing log sheets, shift log, shift handover, transport log, fleet operations log, operations log, operational reporting, plant operations, industrial logbook, compliance logging, audit trail, incident log, paperless operations, voice assistant, voice logging, voice-enabled log, OEE tracking, real-time operations data, operations management software.

## Legal

- [Terms of Service](https://logsheet.ai/legal/terms-of-service): terms governing use of Log Sheet
- [Privacy Policy](https://logsheet.ai/legal/privacy-policy): how personal data is collected and processed
- [Cookie Policy](https://logsheet.ai/legal/cookie-policy): use of cookies and similar technologies
- [Security Policy](https://logsheet.ai/legal/security-policy): data protection and security practices
- [AI Disclosure](https://logsheet.ai/legal/ai-disclosure): how AI features process and use data
- [Refunds and Cancellations](https://logsheet.ai/legal/refunds-and-cancellations): refund and cancellation terms

## Optional

- [Sitemap](https://logsheet.ai/sitemap.xml): machine-readable index of all indexable pages
- [Robots](https://logsheet.ai/robots.txt): crawl rules
- [i-SOL — parent company](https://i-sol.eu): consulting and software development behind Log Sheet
- Contact: team@logsheet.ai
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Ajouté 22/09/2026

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