Last scanned Jun 25, 2026 · Methodology v4.5 · View Leaderboard →
digitale-sammlungen.de scored 47/100 on AI-readiness across 48 parameters measured against ChatGPT, Claude, Perplexity, and Gemini visibility checks. 14 parameters passed, 14 failed, and 12 need improvement. Strongest area: Crawlability & Access. Weakest: Content Authority & Quality. Compared to other science_and_education.libraries_and_museums sites, this score is in the 54th percentile.
The website digitale-sammlungen.de features the page title Munich Digitization Center (MDZ) - Homepage | MDZ. According to its meta-description, the site allows users to discover 3,185,591 digitized manuscripts, prints, music, maps, photographs, newspapers, and magazines, with about 100% of them available via IIIF. In terms of AI readiness, the platform has been evaluated and assigned an ai-readiness-score of 47. This profile summarizes the key details of the website based on the scanner's findings.
14 Pass
14 Fail
12 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:date_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
No structured data detected. Schema.org markup raises LLM extraction accuracy from 16% to 54% — a 3.4× lift.
Answer Block
Answer block too short — 31 words. Target is 40–60 words; expand the opening paragraph to be self-contained for ChatGPT and Perplexity.
Answer block starts at word 135, spans 31 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 |
Fail | |
Pass | |
AI crawler access controlLearn more | Pass |
Paywall and login gating detectionLearn more | Pass |
Search-bot network reachabilityLearn more | Pass |
sitemap.xml availabilityLearn more | Fail |
Structured Data (schema.org)Learn more | Fail |
Page metadataLearn more | Partial |
URL stabilityLearn more | Pass |
Structured data (schema.org/JSON-LD) coverageLearn more | Fail |
Security headers baselineLearn more | Pass |
Fail | |
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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N/A | |
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Fail | |
Fail | |
N/A |
Partial | |
Content visibility without JavaScriptLearn more | Pass |
Partial | |
Fail | |
Nosnippet directive detectionLearn more | Pass |
Paragraph length distributionLearn more | Partial |
Section length distributionLearn more | Partial |
Dated statistics ratioLearn more | Pass |
Comparison table presenceLearn more | N/A |
Entity name consistencyLearn more | Partial |
Multimedia coverage and alignmentLearn more | Partial |
AI manifests coverageLearn more | Fail |
Fail | |
UCP manifest availabilityLearn more | N/A |
Pass | |
Core Web Vitals (page experience)Learn more | Fail |
Parameters that influence how AI systems cite and surface your content in answers.
N/A | |
N/A | |
N/A | |
Fail | |
Fail | |
Fail | |
N/A | |
Pass |
Partial | |
Partial | |
Pass | |
Author authority signalsLearn more | Fail |
Fail | |
Content depthLearn more | Partial |
Citation and evidence densityLearn more | Partial |
Fail | |
Answer-oriented content structureLearn more | Partial |
Answer-first H2 complianceLearn more | Partial |
Chunk extractability (self-contained H2 blocks)Learn more | Pass |
TL;DR / Key Takeaways sectionLearn more | N/A |
Answer block shapeLearn more | Partial |