Overall AI readiness score
A combined result across all audit signals.
Average
AI readiness audit: 9/19/2026Public technical data
Overall AI readiness assessment
How ready lightpollutionmap.app is for AI systems
Light Pollution Map (lightpollutionmap.app) received an AI-readiness score of 65/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 6 explicitly allowed and 4 blocked AI crawlers, with 2 declared sitemaps. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-09-19T01:19:02.804Z.
Audit context
llms.txt is accessible and contains 3,253 tokens. An expanded llms-full.txt is also available with 7,693 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 7 of 11 tracked AI bots are not blocked, while 4 receive a prohibition. Declared sitemaps: 2. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.
The mobile Lighthouse profile adds Performance 63/100, Accessibility 96/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 67/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- 2 sitemap declarations
Priority improvements
- 1Review the 4 explicit AI-bot blocks and keep only intentional restrictions.
- 2Add JSON-LD for the organisation, website, and core entities.
- 3Complete OpenGraph and canonical homepage metadata.
- 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens3,253
llms-full.txt tokens7,693
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
63
Performance
96
Accessibility
96
Best Practices
100
Technical SEO
67
Agentic Browsing
What these results mean
Mobile performance is 63/100, with the largest visible content block appearing in 11.9 s and the browser main thread blocked for 360 ms. Layout shift was 0.002. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 96/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 67/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Free the main thread and accelerate the first view
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
2
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
3
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP2.1 s
First content
LCP11.9 s
Main content
CLS0.002
Layout stability
TBT360 ms
Blocking time
SI3.9 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
9/19/2026Lighthouse 13.4.1Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
Sitemap in robots.txt2
2 sitemaps found
llms.txt in robots.txt
References: Allow: /llms.txt, Allow: /llms-full.txt
Schema.org (JSON-LD)
Schema.org markup was not found on the homepage
OpenGraph
OpenGraph tags were not found on the homepage
AI bot access
Based on robots.txt analysis
GPTBotBlocked
OAI-SearchBotAllowed
ChatGPT-UserAllowed
Google-ExtendedBlocked
ClaudeBotNot mentioned
Claude-SearchBotAllowed
Claude-UserAllowed
BytespiderBlocked
CCBotBlocked
PerplexityBotAllowed
Perplexity-UserAllowed
Sitemaps
Declared discovery routes for crawlers and 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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Added 9/19/2026