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onet.tv
Video - Publicystyka, reportaże, poradniki, sport i styl życia w popularnych programach najlepszych polskich dziennikarzy. Oglądaj za darmo i bądź na bieżąco! - Video
AI Agentic Readiness
11 / 28
agentic checks passed 45% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
onet.tv is live and passes 11 of 28 agentic-readiness checks (45%). It runs on Ring over HTTPS.
For AI agents, onet.tv's strongest signals are clean semantic HTML, fully indexable pages, a visually stable layout, and a clear canonical URL. Average 47% atomic sentences across 1 pages (target 40%+).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, few clear definitions, and no self-contained answer passages. An agent can read onet.tv'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 & AccessibilityARIA attributes found for accessibility
~Clean, Crawlable HTMLNo H1 tag(s) found (0)
✗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 Size145KB of inline CSS/JS across the document
~Page Speed: Load Blockers5 blocking stylesheets in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 47% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 37.5% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
✗Answer Capsule Pattern0/3 H2 sections have 15-30 word self-contained capsules (0%)
Structured data
✓Schema.org Structured DataOrganization or LocalBusiness schema found on homepage
✓Schema Coverage & Depth@id linking found - schema types are connected in a graph
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://onet.tv/llms.txt (connection failed)
✗robots.txt for AI CrawlersNo robots.txt file found
✗Sitemap CompletenessNo sitemap.xml found
?RSS/Atom FeedNot assessed
✗Internationalization SignalsNo hreflang alternate links found
?Content Licensing & AI PermissionsNot assessed
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 Quality1/1 titles are shorter than 10 or longer than 70 characters
✗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 onet.tv'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 onet.tv more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present onet.tv's comparison and spec data as real HTML tables and lists agents can extract.
