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yu.edu
Yeshiva University | A Top-ranked University in New York City |
AI Agentic Readiness
9 / 28
agentic checks passed 48% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
yu.edu is live and passes 9 of 28 agentic-readiness checks (48%). It runs on drupal on nginx over HTTPS.
For AI agents, yu.edu's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Average entity density 56.2% across 1 pages (target >15%).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, no self-contained answer passages, and no Schema.org structured data. The weakest area is Structured data; addressing it first would raise this score the most.
Agent interaction
~Semantic HTML5 & AccessibilityOnly 67% of images have alt text
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreAverage sentence length: 39.2 words - too long for AI snippets
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
✓Layout Stability & Responsiveness14/21 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://yu.edu/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✓Sitemap Completeness1687 URLs have lastmod dates
?RSS/Atom FeedNot assessed
✗Internationalization SignalsNo hreflang alternate links found
?Content Licensing & AI PermissionsNot assessed
Trust & transparency
~Entity Authority & E-E-A-TNo phone number found on homepage
~Creator TransparencyVisible authorship is present on some content but inconsistent
~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 yu.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 yu.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present yu.edu's comparison and spec data as real HTML tables and lists agents can extract.
