agentic checks passed 44% 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 30 agentic-readiness checks (44%). 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 Schema.org structured data. 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 27.3% across 1 pages (target >15%)
✓Definition PatternsDefinition patterns appear early in page content - good for snippet extraction
~Answer Capsule Pattern3/12 H2 sections have 15-30 word self-contained capsules (25%)
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 FeedHomepage does not link to an RSS/Atom feed in <head>
✗Internationalization SignalsNo hreflang alternate links found
✗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 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.
