MarkosWebAI Agentic Readiness Directory

temple.edu

Temple University

AI Agentic Readiness

11 / 30
agentic checks passed
47% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked

temple.edu is live and passes 11 of 30 agentic-readiness checks (47%). It runs on drupal on volt-adc over HTTPS.

For AI agents, temple.edu's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a clear canonical URL. Approximately 1345 DOM nodes - consider simplifying.

Its main gaps are no structured tables or lists, few clear definitions, no Schema.org structured data, and shallow schema coverage. The weakest area is Structured data; 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 ScoreHigh jargon density in opening content
Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
~Layout Stability & Responsiveness21/21 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 1345 DOM nodes - consider simplifying
Page Speed: Load BlockersEfficient critical rendering path
Machine extraction
Table & List ExtractabilityNo HTML tables found across homepage
Sentence AtomicityAverage 43% atomic sentences across 1 pages (target 40%+)
Entity DensityAverage entity density 41.4% across 1 pages (target >15%)
Definition PatternsOnly 2 definition pattern(s) found
~Answer Capsule Pattern8/24 H2 sections have 15-30 word self-contained capsules (33%)
Structured data
Schema.org Structured DataNo JSON-LD structured data found across homepage
Schema Coverage & DepthNo JSON-LD found - cannot assess schema coverage
Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
llms.txt FileNo llms.txt file found at https://temple.edu/llms.txt (HTML page served (not a valid text file))
robots.txt for AI CrawlersNo robots.txt file found
Sitemap Completenesssitemap.xml does not contain valid XML structure
RSS/Atom FeedHomepage does not link to an RSS/Atom feed in <head>
~Internationalization SignalsOnly 1 hreflang value found - need at least 2 for proper multi-language linking
Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
Entity Authority & E-E-A-TSocial media / sameAs references found on homepage
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 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 SchemaNo Person schema found across homepage

Every check is a verifiable fact about temple.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 temple.edu more agent-ready, in priority order.

1 Add structured tables and lists critical impact medium effort
Present temple.edu's comparison and spec data as real HTML tables and lists agents can extract.
2 Add content freshness signals critical impact medium effort
Refresh and re-date temple.edu's key pages so agents see it as maintained.
3 Add JSON-LD structured data critical impact medium effort
Mark up temple.edu's homepage with Schema.org JSON-LD (Organization, WebSite) an agent can read as facts.
4 Add definition-style content critical impact medium effort
Add clear "X is ..." definitions on temple.edu so agents can lift direct answers.

Trust & legitimacy signals

Currently activeyes (HTTP 200)
Secure (HTTPS)yes
Identifiable technologydrupal on volt-adc

Show your score

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temple.edu is 47% AI-Ready - MarkosWeb

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Agentic readiness for temple.edu last checked . Machine-readable: JSON. Method: methodology.