Last scanned Jun 25, 2026 · Methodology v4.5 · View Leaderboard →
darksky.org scored 60/100 on AI-readiness across 48 parameters measured against ChatGPT, Claude, Perplexity, and Gemini visibility checks. 21 parameters passed, 13 failed, and 10 need improvement. Strongest area: Discovery & Metadata. Weakest: Answer Positioning. Compared to other science_and_education.environmental_science sites, this score is in the 50th percentile.
The website darksky.org features the page title "DarkSky International | Protecting the night skies for present and future generations". According to the site's meta-description, DarkSky International works to restore the nighttime environment and protect communities from the harmful effects of light pollution through outreach, advocacy, and conservation. Based on a scan of these elements, friendly4AI has evaluated the platform's friendliness for AI systems and assigned it an AI-readiness score of 60.
21 Pass
13 Fail
10 Needs Improvement
These are derived on-page readiness estimates for each engine's grounding index — not live engine queries.
How easily AI engines can extract and cite this page. Combines freshness, schema, and answer-block placement.
Freshness
Fresh — last modified 0 days ago. Inside the 7–14 day refresh window AI engines reward.
Source:last_modified_headerFreshness: page modified 0 days ago. Inside Perplexity 2–3 day window. Inside 13-week recent band. Far from 26-week at-risk threshold.
Perplexity 2–3dSchema / Structured Data
9 schema types detected (website, searchaction, entrypoint, webpage, breadcrumblist, listitem, readaction, organization, imageobject). Adding FAQPage is the highest-leverage next step (+28% coverage in 21 days).
Answer Block
Answer block too short — 14 words. Target is 40–60 words; expand the opening paragraph to be self-contained for ChatGPT and Perplexity.
Answer block starts at word 31, spans 14 words within a 134-word context passage.
Parameters that determine how well AI crawlers can discover and index your content.
robots.txt accessibilityLearn more | Pass |
HTTP status and reachabilityLearn more | Pass |
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AI crawler access controlLearn more | Pass |
Paywall and login gating detectionLearn more | Pass |
Search-bot network reachabilityLearn more | Partial |
sitemap.xml availabilityLearn more | Pass |
Structured Data (schema.org)Learn more | Pass |
Page metadataLearn more | Pass |
URL stabilityLearn more | Pass |
Structured data (schema.org/JSON-LD) coverageLearn more | Pass |
Security headers baselineLearn more | Pass |
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Internal link coverageLearn more | Pass |
Content-type schema alignmentLearn more | N/A |
IndexNow push-protocol adoptionLearn more | Fail |
Entity grounding via sameAs linksLearn more | Fail |
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Content visibility without JavaScriptLearn more | Partial |
Partial | |
Fail | |
Nosnippet directive detectionLearn more | Pass |
Paragraph length distributionLearn more | Partial |
Section length distributionLearn more | Fail |
Dated statistics ratioLearn more | N/A |
Comparison table presenceLearn more | N/A |
Entity name consistencyLearn more | Pass |
Multimedia coverage and alignmentLearn more | Partial |
AI manifests coverageLearn more | Pass |
Partial | |
UCP manifest availabilityLearn more | N/A |
Pass | |
Core Web Vitals (page experience)Learn more | Pass |
Parameters that influence how AI systems cite and surface your content in answers.
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Author authority signalsLearn more | Fail |
Fail | |
Content depthLearn more | Partial |
Citation and evidence densityLearn more | Pass |
Fail | |
Answer-oriented content structureLearn more | Partial |
Answer-first H2 complianceLearn more | Fail |
Chunk extractability (self-contained H2 blocks)Learn more | Fail |
TL;DR / Key Takeaways sectionLearn more | Fail |
Answer block shapeLearn more | Partial |