agentic checks passed 38% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
fms.edu is live and passes 7 of 30 agentic-readiness checks (38%). It runs on Vercel over HTTPS.
For AI agents, fms.edu's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a lightweight page. Average entity density 40.2% across 1 pages (target >15%).
Its main gaps are text that is hard for agents to extract, no canonical URL, no structured tables or lists, and long, hard-to-quote sentences. The weakest area is Structured data; addressing it first would raise this score the most.
Agent interaction
~Semantic HTML5 & AccessibilityNo <main> or <article> landmark anywhere in the sample - AI browser agents cannot distinguish main content from navigation and chrome
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreHidden content detected (display:none or hidden attribute)
✓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
✗Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
✗llms.txt FileNo llms.txt file found at https://fms.edu/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
~Sitemap CompletenessNo lastmod dates in sitemap
✗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 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 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 fms.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 fms.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present fms.edu's comparison and spec data as real HTML tables and lists agents can extract.