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acasc.org
ACA Sports Council
AI Agentic Readiness
9 / 30
agentic checks passed 44% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
acasc.org is live and passes 9 of 30 agentic-readiness checks (44%). It runs on cloudflare over HTTPS.
For AI agents, acasc.org's strongest signals are tidy, crawlable markup, fully indexable pages, a clear canonical URL, and dense, entity-rich content. Average entity density 77.8% across 1 pages (target >15%).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, long, hard-to-quote sentences, and few clear definitions. The weakest area is Machine extraction; addressing it first would raise this score the most.
Agent interaction
~Semantic HTML5 & AccessibilityMissing lang attribute on <html> tag
✓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 & Responsiveness4/6 images lack explicit width/height - the most common cause of layout shift (CLS)
✓Canonical URL StrategySingle canonical tag present (no duplicates)
~Page Speed: Page SizeHomepage HTML is 257KB
~Page Speed: Load Blockers8 blocking stylesheets in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
✗Sentence AtomicityAverage 14% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 77.8% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
✗Answer Capsule Pattern0/4 H2 sections have 15-30 word self-contained capsules (0%)
Structured data
✓Schema.org Structured DataAdvisory (not scored): local-business/product schema detected - Google AI responses also draw on Google Business Profiles and Merchant Center feeds, which are managed outside the website
~Schema Coverage & DepthArticle schema missing or has fewer than 2 key properties
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://acasc.org/llms.txt (connection failed)
✓robots.txt for AI CrawlersSitemap URL referenced in robots.txt
✓Sitemap Completeness52 URLs have lastmod dates
✗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-TSocial media / sameAs references 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 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 acasc.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 acasc.org more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present acasc.org's comparison and spec data as real HTML tables and lists agents can extract.
