agentic checks passed 43% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
unlv.edu is live and passes 9 of 30 agentic-readiness checks (43%). It runs on drupal on nginx over HTTPS.
For AI agents, unlv.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a clear canonical URL. Average entity density 39.9% across 1 pages (target >15%).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, long, hard-to-quote sentences, and few clear definitions. 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 ScoreAverage sentence length: 29.3 words - slightly long
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
~Layout Stability & Responsiveness7/7 images lack explicit width/height - the most common cause of layout shift (CLS)
✓Canonical URL StrategySingle canonical tag present (no duplicates)
✗Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
✗llms.txt FileNo llms.txt file found at https://unlv.edu/llms.txt (connection failed)
✗robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✓Sitemap CompletenessSitemap index found, indicating organized sitemap structure
✗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-TSocial media / sameAs references found on homepage
✗Creator TransparencyCreator visibility is weak on content-like pages
~Methodology TransparencySome process transparency exists, but it is inconsistent
~AI Assistance DisclosureNo AI-assistance disclosure found on sampled pages (neutral - the engine cannot tell whether AI was used)
✗Visible Date SignalOnly machine-readable date signals were found; users still do not see a visible published or updated date
✓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 unlv.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 unlv.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present unlv.edu's comparison and spec data as real HTML tables and lists agents can extract.
