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korrespondent.net
Новини - останні новини України та світу сьогодні - Korrespondent.net
AI Agentic Readiness
7 / 28
agentic checks passed 38% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
korrespondent.net is live and passes 7 of 28 agentic-readiness checks (38%). It runs on cloudflare over HTTPS.
For AI agents, korrespondent.net's strongest signals are tidy, crawlable markup, fully indexable pages, a clear canonical URL, and atomic, quotable sentences. Average 75% atomic sentences across 1 pages (target 40%+).
Its main gaps are thin semantic structure, text that is hard for agents to extract, no structured tables or lists, and sparse entity coverage. The weakest area is Structured data; addressing it first would raise this score the most.
Agent interaction
✗Semantic HTML5 & AccessibilityOnly 67% of images have alt text
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreHidden content detected (display:none or hidden attribute)
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
~Layout Stability & ResponsivenessNo viewport meta tag on the homepage - pages will not render responsively on mobile devices
✓Canonical URL StrategySingle canonical tag present (no duplicates)
~Page Speed: Page SizeApproximately 1428 DOM nodes - consider simplifying
~Page Speed: Load Blockers14 render-blocking script(s) in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 75% atomic sentences across 1 pages (target 40%+)
✗Entity DensityAverage entity density 3.0% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
✗Answer Capsule Pattern0/8 H2 sections have 15-30 word self-contained capsules (0%)
Structured data
✗Schema.org Structured DataNo JSON-LD structured data found across homepage
✗Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
✗llms.txt FileNo llms.txt file found at https://korrespondent.net/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
?RSS/Atom FeedNot assessed
✓Internationalization SignalsSelf-referencing hreflang present on homepage
?Content Licensing & AI PermissionsNot assessed
Trust & transparency
✗Entity Authority & E-E-A-TNo Organization schema to reinforce entity identity
✓Creator Transparency1/1 sampled pages provide clear visible creator attribution
~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 korrespondent.net'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 korrespondent.net more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present korrespondent.net's comparison and spec data as real HTML tables and lists agents can extract.
