agentic checks passed 42% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
mit.edu is live and passes 10 of 30 agentic-readiness checks (42%). It runs on drupal on Apache over HTTPS.
For AI agents, mit.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. Average 41% atomic sentences across 1 pages (target 40%+).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, few clear definitions, 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 & AccessibilityARIA attributes found for accessibility
✓Clean, Crawlable HTMLPage has substantial text content accessible without JavaScript
✗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
✓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://mit.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 Quality1/1 pages lack a usable meta description
✗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 mit.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 mit.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present mit.edu's comparison and spec data as real HTML tables and lists agents can extract.