agentic checks passed 53% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
wfu.edu is live and passes 12 of 30 agentic-readiness checks (53%). It runs on webp-uploads on Apache over HTTPS.
For AI agents, wfu.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. Average entity density 33.3% across 1 pages (target >15%).
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. The weakest area is Machine extraction; 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 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 & Responsiveness21/26 images lack explicit width/height - the most common cause of layout shift (CLS)
✓Canonical URL StrategySingle canonical tag present (no duplicates)
~Page Speed: Page SizeApproximately 1228 DOM nodes - consider simplifying
✗Page Speed: Load Blockers3 render-blocking script(s) in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
~Sentence AtomicityAverage 38% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 33.3% across 1 pages (target >15%)
~Definition PatternsOnly 2 definition pattern(s) found
✗Answer Capsule Pattern2/11 H2 sections have 15-30 word self-contained capsules (18%)
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✓llms.txt FileNote: Google does not read llms.txt (its AI features rely on normal indexing); this signal serves other AI assistants and carries reduced weight
~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-TNo phone number found on homepage
✗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 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 SignalsReferences to 2026 or 2025 found across homepage, suggesting recent updates
✗Author & Expert SchemaNo Person schema found across homepage
Every check is a verifiable fact about wfu.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 wfu.edu more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present wfu.edu's comparison and spec data as real HTML tables and lists agents can extract.
2 Strengthen entity authority (NAP) medium impactlow effort
Make wfu.edu's name, address and phone consistent and add Organization schema to anchor its identity.
3 Enhance author and expert schema critical impactmedium effort
Add Person/author schema with credentials on wfu.edu to strengthen expertise signals.
4 Add ai.txt and content licensing critical impactlow effort
State AI-use permissions for wfu.edu (an ai.txt or licensing note) so agents know what they may use.
Trust & legitimacy signals
✓Currently activeyes (HTTP 200)
✓Secure (HTTPS)yes
✓Identifiable technologywebp-uploads on Apache
Show your score
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Agentic readiness for wfu.edu last checked . Machine-readable: JSON. Method: methodology.
