agentic checks passed 59% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
mises.org is live and passes 12 of 30 agentic-readiness checks (59%). It runs on drupal on nginx over HTTPS.
For AI agents, mises.org's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. Average entity density 37.9% across 1 pages (target >15%).
Its main gaps are text that is hard for agents to extract, a heavy page, no structured tables or lists, and no speakable schema for voice agents. 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 & ResponsivenessViewport is configured and media declares dimensions - static layout-stability signals look good
✓Canonical URL StrategySingle canonical tag present (no duplicates)
✗Page Speed: Page Size113KB of inline CSS/JS across the document
~Page Speed: Load Blockers<head> section is 109KB - over 60KB
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
~Sentence AtomicityAverage 39% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 37.9% across 1 pages (target >15%)
~Definition PatternsNo definition patterns in the first 2000 characters of content
~Answer Capsule Pattern5/16 H2 sections have 15-30 word self-contained capsules (31%)
Structured data
✓Schema.org Structured DataOrganization or LocalBusiness schema found on homepage
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://mises.org/llms.txt (connection failed)
✗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 SignalsSelf-referencing hreflang present on homepage
~Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
~Entity Authority & E-E-A-TMultiple phone numbers found (3)
✗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 Signal20 visible <time> element(s) with datetime attribute found across homepage
✓Title & Meta QualityTitles are present, unique, and well-sized, and pages carry meta descriptions
~Content Freshness SignalsNo JSON-LD date properties (datePublished/dateModified) found across homepage
✓Author & Expert Schema<address> element found for contact information
Every check is a verifiable fact about mises.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 mises.org more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present mises.org's comparison and spec data as real HTML tables and lists agents can extract.
2 Add content freshness signals high impactlow effort
Refresh and re-date mises.org's key pages so agents see it as maintained.
3 Strengthen entity authority (NAP) medium impactlow effort
Make mises.org's name, address and phone consistent and add Organization schema to anchor its identity.
4 Add definition-style content high impactlow effort
Add clear "X is ..." definitions on mises.org so agents can lift direct answers.
Trust & legitimacy signals
✓Currently activeyes (HTTP 200)
✓Secure (HTTPS)yes
✓Identifiable technologydrupal on nginx
Show your score
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Agentic readiness for mises.org last checked . Machine-readable: JSON. Method: methodology.