agentic checks passed 46% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
uni-bonn.de is live and passes 9 of 30 agentic-readiness checks (46%). It runs on plone over HTTPS.
For AI agents, uni-bonn.de's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. Approximately 1213 DOM nodes - consider simplifying.
Its main gaps are text that is hard for agents to extract, few clear definitions, shallow schema coverage, and no speakable schema for voice agents. The weakest area is Structured data; addressing it first would raise this score the most.
Agent interaction
✓Semantic HTML5 & AccessibilityARIA attributes found for accessibility
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreFew pages have voice-friendly lead paragraphs
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
✓Layout Stability & ResponsivenessCustom web fonts load without preload or font-display - late font swaps shift text layout
✓Canonical URL StrategySingle canonical tag present (no duplicates)
✓Page Speed: Page SizeApproximately 1213 DOM nodes - consider simplifying
~Page Speed: Load Blockers3 render-blocking script(s) in <head>
Machine extraction
~Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 72% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 40.9% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
~Answer Capsule Pattern1/2 H2 sections have 15-30 word self-contained capsules (50%)
Structured data
~Schema.org Structured DataMissing Organization or LocalBusiness schema across homepage
✗Schema Coverage & DepthOrganization schema has only 2 key properties
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://uni-bonn.de/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
✗RSS/Atom FeedHomepage does not link to an RSS/Atom feed in <head>
✗Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
✗Entity Authority & E-E-A-TNo Organization schema to reinforce entity identity
✗Creator TransparencyCreator visibility is weak on content-like pages
~Methodology TransparencyLittle content-production or review transparency is visible
~AI Assistance DisclosureNo AI-assistance disclosure found on sampled pages (neutral - the engine cannot tell whether AI was used)
✗Visible Date SignalNo visible date signals found across homepage (no <time> elements, no JSON-LD dates, no article meta dates)
✓Title & Meta QualityTitles are present, unique, and well-sized, and pages carry meta descriptions
✗Content Freshness SignalsNo JSON-LD date properties (datePublished/dateModified) found across homepage
✗Author & Expert SchemaNo Person schema found across homepage
Every check is a verifiable fact about uni-bonn.de's live pages. Scoring follows Google Lighthouse agentic-browsing: a fraction of concrete checks, not an invented 0-100.
How to improve for AI agents
The highest-impact changes to make uni-bonn.de more agent-ready, in priority order.
1 Add structured tables and lists high impactlow effort
Present uni-bonn.de's comparison and spec data as real HTML tables and lists agents can extract.
