agentic checks passed 47% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
umn.edu is live and passes 11 of 30 agentic-readiness checks (47%). It runs on drupal on cloudflare over HTTPS.
For AI agents, umn.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. 9/10 images declare explicit dimensions.
Its main gaps are text that is hard for agents to extract, render-blocking resources, no structured tables or lists, and no self-contained answer passages. An agent can read umn.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
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://umn.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 umn.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 umn.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present umn.edu's comparison and spec data as real HTML tables and lists agents can extract.