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wisc.edu
University of Wisconsin–Madison
AI Agentic Readiness
10 / 28
agentic checks passed 47% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
wisc.edu is live and passes 10 of 28 agentic-readiness checks (47%). It runs on AmazonS3 over HTTPS.
For AI agents, wisc.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. 1 render-blocking script(s) in <head>.
Its main gaps are text that is hard for agents to extract, no canonical URL, no structured tables or lists, and no self-contained answer passages. An agent can read wisc.edu's content but has little machine-readable way to discover it - closing the AI discovery gap would be the fastest lift.
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 & ResponsivenessViewport is configured and media declares dimensions - static layout-stability signals look good
✓Page Speed: Load Blockers1 render-blocking script(s) in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
~Sentence AtomicityAverage 30% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 26.8% across 1 pages (target >15%)
✓Definition PatternsDefinition patterns appear early in page content - good for snippet extraction
✗Answer Capsule Pattern2/12 H2 sections have 15-30 word self-contained capsules (17%)
Structured data
✗Schema.org Structured DataMissing Organization or LocalBusiness schema across homepage
✓Schema Coverage & Depth@id linking found - schema types are connected in a graph
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://wisc.edu/llms.txt (connection failed)
✗robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
?RSS/Atom FeedNot assessed
✗Internationalization SignalsNo hreflang alternate links found
?Content Licensing & AI PermissionsNot assessed
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 wisc.edu'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 wisc.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present wisc.edu's comparison and spec data as real HTML tables and lists agents can extract.
