agentic checks passed 51% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
ncaa.org is live and passes 10 of 30 agentic-readiness checks (51%). It runs on site on cloudflare over HTTPS.
For AI agents, ncaa.org's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Average 52% atomic sentences across 1 pages (target 40%+).
Its main gaps are thin semantic structure, text that is hard for agents to extract, a heavy page, and no structured tables or lists. An agent can read ncaa.org's content but has little machine-readable way to discover it - closing the AI discovery gap would be the fastest lift.
Agent interaction
✗Semantic HTML5 & AccessibilityOnly 14% of images have alt text
✓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 & ResponsivenessViewport is configured and media declares dimensions - static layout-stability signals look good
✓Canonical URL StrategySingle canonical tag present (no duplicates)
✗Page Speed: Page SizeApproximately 1449 DOM nodes - consider simplifying
~Page Speed: Load Blockers23 blocking stylesheets in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 52% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 34.7% across 1 pages (target >15%)
~Definition PatternsNo definition patterns in the first 2000 characters of content
✗Answer Capsule Pattern1/10 H2 sections have 15-30 word self-contained capsules (10%)
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://ncaa.org/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
✗RSS/Atom FeedRSS/Atom feed link tag found in homepage <head>
✗Internationalization SignalsNo hreflang alternate links found
~Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
~Entity Authority & E-E-A-TMultiple phone numbers found (2)
✗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 ncaa.org'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 ncaa.org more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present ncaa.org's comparison and spec data as real HTML tables and lists agents can extract.
2 Strengthen entity authority (NAP) medium impactlow effort
Make ncaa.org'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 ncaa.org to strengthen expertise signals.
