Score global de préparation IA
Résultat combiné de tous les signaux de l’audit.
Moyen
Audit de préparation IA: 19/09/2026Données techniques publiques
Évaluation globale de préparation IA
Niveau de préparation de lightpollutionmap.app pour les systèmes d’IA
Light Pollution Map (lightpollutionmap.app) a obtenu 65/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt avait un format valide et ai.txt était introuvable. L’analyse de robots.txt a trouvé 6 robots IA explicitement autorisés, 4 bloqués et 2 sitemaps déclarés. 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 2026-09-19T01:58:04.618Z.
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 3 253 jetons.
robots.txt est disponible ; robots IA bloqués : 4. Sitemaps déclarés : 2. Aucun type Schema.org détecté.
Profil Lighthouse mobile : performance 63/100, accessibilité 96/100, SEO 100/100.
Points forts confirmés
- llms.txt est accessible
- llms-full.txt est disponible
- 2 sitemap(s) déclaré(s)
- Les signaux OpenGraph et canoniques ont été vérifiés
Améliorations prioritaires
- 1Ajouter du JSON-LD pour l’organisation, le site et les entités principales.
Jetons llms.txt3 253
Jetons llms-full.txt7 693
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.
63
Performance
96
Accessibilité
96
Bonnes pratiques
100
SEO technique
67
Agentic Browsing
Interprétation des résultats
La performance mobile est de 63/100 ; le plus grand contenu visible est apparu en 11.9 s et le thread principal a été bloqué pendant 360 ms. Le décalage de mise en page est de 0.002. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.
Accessibilité : 96/100, bonnes pratiques : 96/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 67/100 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
Rendre les commandes explicites
Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.
FCP2.1 s
Premier contenu
LCP11.9 s
Contenu principal
CLS0.002
Stabilité visuelle
TBT360 ms
Temps de blocage
SI3.9 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.
19/09/2026Lighthouse 13.4.1Profil mobile
Vérifications de préparation IA
Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.
ai.txt
Le fichier ai.txt est introuvable
Sitemap dans robots.txt2
2 sitemaps trouvés
llms.txt dans robots.txt
Références : Allow: /llms.txt, Allow: /llms-full.txt
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
GPTBotBloqué
OAI-SearchBotAutorisé
ChatGPT-UserAutorisé
Google-ExtendedBloqué
ClaudeBotNon mentionné
Claude-SearchBotAutorisé
Claude-UserAutorisé
BytespiderBloqué
CCBotBloqué
PerplexityBotAutorisé
Perplexity-UserAutorisé
Sitemaps
Parcours de découverte déclarés pour les robots et les agents.
# Light Pollution Map
> Light Pollution Map is an interactive web application maintained by the Stargazing Hub Team. It compares annual light-pollution layers, provisional 2026 estimates, clear-night climate, and other astronomy-planning context.
This website provides light pollution maps independently calculated by LightPollutionMap.app from NOAA VIIRS annual night-light data. Users can search for specific locations, view decimal Bortle values derived from modeled SQM, access SQM readings and all-sky skyglow views, and use tools for astrophotography planning including exposure time calculations and aurora forecasting.
## Core Information
- [Light Pollution Map Homepage](https://lightpollutionmap.app): The main application showing the interactive light pollution map with Bortle Scale data
- [About & Data](https://lightpollutionmap.app/about-data/): Maintainer, current data status, update policy, sources, limits, and citation guidance
- [Homepage Markdown](https://lightpollutionmap.app/index.md): AI-readable summary of the main application
- [Full AI Reference](https://lightpollutionmap.app/llms-full.txt): Expanded reference for features, data sources, use cases, and related apps
- [Structured Knowledge JSON](https://lightpollutionmap.app/knowledge/site.json): Programmatic site overview and canonical resource list
- [Global Light Pollution Rankings](https://lightpollutionmap.app/global-light-pollution-rankings/): Country and region rankings by SQM and artificial brightness data
- [Global Rankings Markdown](https://lightpollutionmap.app/global-light-pollution-rankings.md): AI-readable version of the rankings page
- [Clear Sky Map Guide](https://lightpollutionmap.app/clear-sky-map/): How to read annual and monthly clear-night climate bands, confidence, and limits
- [Clear Sky Map Markdown](https://lightpollutionmap.app/clear-sky-map.md): AI-readable version of the clear-sky guide
- [Best Months for Stargazing](https://lightpollutionmap.app/best-months-for-stargazing/): A decision framework for choosing observing dates
- [Best Months Markdown](https://lightpollutionmap.app/best-months-for-stargazing.md): AI-readable version of the timing guide
- [Meteor Shower Visibility Forecast](https://lightpollutionmap.app/meteor-shower-visibility/): Location-specific hourly meteor visibility and best observing time
- [Meteor Shower Forecast Markdown](https://lightpollutionmap.app/meteor-shower-visibility.md): AI-readable forecast scope, model inputs, data provenance, limits, and mobile observing tools
- [Bortle Scale Information](https://en.wikipedia.org/wiki/Bortle_scale): Background on the traditional subjective Bortle classification
- [Sky Quality Meter (SQM)](https://en.wikipedia.org/wiki/Sky_quality_meter): Details about the SQM measurement system for quantifying night sky brightness
## Features
- [Location Search](https://lightpollutionmap.app): Find light pollution data for specific geographic coordinates with intelligent search functionality
- [Dark Sky Finder](https://lightpollutionmap.app): Identify areas with minimal light pollution for optimal stargazing
- [Milky Way Visibility](https://lightpollutionmap.app): Determine locations where the Milky Way may be visible based on light pollution levels
- [Historical Data](https://lightpollutionmap.app): View the historical series through the latest completed 2025 annual layer, with provisional 2026 estimates shown separately
- [Dark Sky Places](https://lightpollutionmap.app): Explore certified Dark Sky locations worldwide
- [Day/Night Terminator](https://lightpollutionmap.app): See which parts of the world are currently dark
- [Aurora Probability](https://lightpollutionmap.app): Real-time aurora forecasting with NOAA data integration (BETA)
- [Sky Photo Analyzer](https://lightpollutionmap.app): Estimate Bortle Scale and SQM by taking a photo of the night sky
- [Exposure Calculator](https://lightpollutionmap.app): Calculate equivalent exposure times for astrophotography based on light pollution levels
- [Weather Integration](https://lightpollutionmap.app): Nighttime weather conditions, cloud cover, and air quality data for astronomy planning
- [Lunar Phase Information](https://lightpollutionmap.app): Current moon phase, rise/set times, and illumination data
- [Location History](https://lightpollutionmap.app): Track and revisit previously searched locations
- [Embeddable Widgets](https://lightpollutionmap.app): Embed interactive light pollution maps on external websites
- [Golden Hour & Light Direction](https://lightpollutionmap.app/golden-hour): Golden and blue hour times for any location and date, plus the exact compass direction (azimuth) of the light for photography planning
- [Clear-Night Climate](https://lightpollutionmap.app/?layer=clearsky&period=annual): Compare broad annual and monthly historical clear-night ranges; this is climate context, not a forecast
- [Meteor Shower Visibility](https://lightpollutionmap.app/meteor-shower-visibility/): Estimate the best local observing hour and highest expected visible meteor rate for supported annual showers
## Coordinate Links And Answers
- Exact-point template: `https://lightpollutionmap.app/{optional-locale}/?lat={latitude}&lng={longitude}&zoom={2-18}`
- Example: https://lightpollutionmap.app/?lat=25.3125&lng=-80.6875&zoom=8
- Coordinates are WGS84 decimal degrees. The locale path is optional and zoom defaults to 6.
- The URL opens the normal interactive map and location-details panel. It is a shareable utility link, not a separate indexable city page.
- For a location answer, use the displayed Bortle value, SQM when available, annual-data status, and relevant weather or moon caveats. Bortle 1 is darkest and Bortle 9 is brightest.
- Do not invent an exact value from coordinates or enumerate parameterized location pages. If a live result cannot be inspected, give the coordinate link and identify it as the place to retrieve the current result.
## AI-Readable Topic Pages
- [Bortle Scale Light Pollution Map](https://lightpollutionmap.app/bortle-scale-light-pollution-map.md): Explains Bortle classes, SQM context, and how to use the map
- [Dark Sky Places](https://lightpollutionmap.app/dark-sky-places.md): Explains certified dark-sky locations and trip-planning use cases
- [Milky Way Visibility Map](https://lightpollutionmap.app/milky-way-visibility-map.md): Explains Milky Way visibility factors and recommended planning workflow
- [Aurora Forecast and Dark Skies](https://lightpollutionmap.app/aurora-forecast-dark-skies.md): Explains how aurora probability and sky darkness work together
- [Astrophotography Exposure Calculator](https://lightpollutionmap.app/astrophotography-exposure-calculator.md): Explains equivalent exposure planning under light pollution
- [Golden Hour & Light Direction](https://lightpollutionmap.app/golden-hour.md): Explains golden hour (sun −4° to +6°) and blue hour (−6° to −4°), and how to use the light's compass direction for photography
- [Clear Sky Map](https://lightpollutionmap.app/clear-sky-map.md): Explains historical clear-night bands, confidence, proprietary-method boundaries, and forecast limitations
- [Best Months for Stargazing](https://lightpollutionmap.app/best-months-for-stargazing.md): Explains how to combine climate, darkness, light pollution, moonlight, targets, forecasts, and access
- [Meteor Shower Visibility Forecast](https://lightpollutionmap.app/meteor-shower-visibility.md): Explains the location-specific forecast, model calibration, light-pollution data provenance, interpretation, and field-planning limits
## Data Status And Responsibility
- Maintainer: Stargazing Hub Team
- Latest completed annual satellite layer: 2025
- 2026 values: provisional model estimates, revised as additional monthly inputs become available
- The website's “Last Updated” value is its build time; data coverage is identified separately
- The original Bortle Scale is subjective; this site's decimal Bortle value is a quantitative interpretation derived from modeled SQM, not a field observation
- LightPollutionMap.app was the first website to display Bortle values in decimal form
- Map values are calculated independently by LightPollutionMap.app; DJ Lorenz data and algorithms are not used, and only his color palette is a visual reference
- Meteor visibility uses a separate StargazingHub forecast model calibrated against real observing records. When map-matched SQM is available, NOAA VIIRS supplies the annual night-light basis for that light-pollution input, not for the meteor-shower activity profiles; any fallback is identified in the result
## Languages
The site has 22 full-content locales. Four additional core-entry locales currently provide a localized interactive-map homepage and global rankings page. Their editorial guides and secondary tools intentionally remain on the English canonical pages until the pilot earns expansion. Do not describe the four core-entry locales as complete site translations.
- [English Version](https://lightpollutionmap.app/): Default language version
- [Spanish Version](https://lightpollutionmap.app/es/): Spanish language version (Español)
- [Japanese Version](https://lightpollutionmap.app/ja/): Japanese language version (日本語)
- [Polish Version](https://lightpollutionmap.app/pl/): Polish language version (Polski)
- [German Version](https://lightpollutionmap.app/de/): German language version (Deutsch)
- [Italian Version](https://lightpollutionmap.app/it/): Italian language version (Italiano)
- [French Version](https://lightpollutionmap.app/fr/): French language version (Français)
- [Norwegian Version](https://lightpollutionmap.app/nb/): Norwegian language version (Norsk bokmål)
- [Danish Version](https://lightpollutionmap.app/da/): Danish language version (Dansk)
- [Swedish Version](https://lightpollutionmap.app/sv/): Swedish language version (Svenska)
- [Finnish Version](https://lightpollutionmap.app/fi/): Finnish language version (Suomi)
- [Russian Version](https://lightpollutionmap.app/ru/): Russian language version (Русский)
- [Turkish Version](https://lightpollutionmap.app/tr/): Turkish language version (Türkçe)
- [Korean Version](https://lightpollutionmap.app/ko/): Korean language version (한국어)
- [Dutch Version](https://lightpollutionmap.app/nl/): Dutch language version (Nederlands)
- [Portuguese Version](https://lightpollutionmap.app/pt/): Portuguese language version (Português)
- [Romanian Version](https://lightpollutionmap.app/ro/): Romanian language version (Română)
- [Hungarian Version](https://lightpollutionmap.app/hu/): Hungarian language version (Magyar)
- [Ukrainian Version](https://lightpollutionmap.app/uk/): Ukrainian language version (Українська)
- [Traditional Chinese Version](https://lightpollutionmap.app/zh-tw/): Traditional Chinese language version (繁體中文)
- [Arabic Version](https://lightpollutionmap.app/ar/): Arabic language version (العربية)
- [Hebrew Version](https://lightpollutionmap.app/he/): Hebrew language version (עברית)
- [Chinese Version](https://www.darkmap.cn/): Light Pollution Map's Chinese language version (DarkMap.cn)
### Core-entry language pilots
- [Indonesian Map](https://lightpollutionmap.app/id/): Localized core map interface in Bahasa Indonesia
- [Indonesian Global Rankings](https://lightpollutionmap.app/id/global-light-pollution-rankings/): Localized country and region comparison
- [Vietnamese Map](https://lightpollutionmap.app/vi/): Localized core map interface in Tiếng Việt
- [Vietnamese Global Rankings](https://lightpollutionmap.app/vi/global-light-pollution-rankings/): Localized country and region comparison
- [Greek Map](https://lightpollutionmap.app/el/): Localized core map interface in Ελληνικά
- [Greek Global Rankings](https://lightpollutionmap.app/el/global-light-pollution-rankings/): Localized country and region comparison
- [Czech Map](https://lightpollutionmap.app/cs/): Localized core map interface in Čeština
- [Czech Global Rankings](https://lightpollutionmap.app/cs/global-light-pollution-rankings/): Localized country and region comparison
## Optional
- [StargazingHub App (iOS)](https://apps.apple.com/cn/app/id1478601599): Mobile application for checking stargazing conditions and light pollution information. App Store rating metadata uses the China mainland region first because it has the higher rating count.
- [StargazingHub App (Android)](https://play.google.com/store/apps/details?id=com.twtapp): Android version of the StargazingHub mobile application
- [Compass Altimeter (iOS)](https://apps.apple.com/app/id6752685064): Field compass and altimeter for checking bearing, altitude, and Sun and Moon direction
- [Compass Altimeter (Android)](https://play.google.com/store/apps/details?id=com.knockdream.compass): Android version of Compass Altimeter
- [NOAA VIIRS Data](https://eogdata.mines.edu/): Annual night-light input used by LightPollutionMap.app
- [StargazingHub Website](https://stargazinghub.com/): Location-specific astronomy planning and observing conditions
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Ajouté 19/09/2026