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fabet.science
FABET - Trang chủ FABET.COM giải trí thể thao top #1 2026
AI Agentic Readiness
11 / 30
agentic checks passed 49% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
fabet.science is live and passes 11 of 30 agentic-readiness checks (49%). It runs on wordpress on cloudflare over HTTPS.
For AI agents, fabet.science's strongest signals are clean semantic HTML, tidy, crawlable markup, fully indexable pages, and a visually stable layout. Approximately 709 DOM nodes.
Its main gaps are text that is hard for agents to extract, long, hard-to-quote sentences, few clear definitions, and no self-contained answer passages. 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 Eligibilityrobots.txt blocks Google-Extended - content is excluded from Google AI training and grounding
✓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 SizeApproximately 709 DOM nodes
~Page Speed: Load Blockers2 render-blocking script(s) in <head>
Machine extraction
~Table & List Extractability2 table(s) found but without <th> header cells
✗Sentence AtomicityAverage 2% atomic sentences across 1 pages (target 40%+)
~Entity DensityAverage entity density 8.0% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
✗Answer Capsule Pattern0/7 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
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://fabet.science/llms.txt (connection failed)
~robots.txt for AI CrawlersAI crawlers BLOCKED: gptbot, claudebot
✓Sitemap CompletenessSitemap index found, indicating organized sitemap structure
✗RSS/Atom FeedRSS/Atom feed link tag found in homepage <head>
✗Internationalization SignalsNo hreflang alternate links found
✗Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
~Entity Authority & E-E-A-TMultiple phone numbers found (9)
✗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 SignalOnly machine-readable date signals were found; users still do not see a visible published or updated date
✓Title & Meta QualityTitles are present, unique, and well-sized, and pages carry meta descriptions
✓Content Freshness SignalsReferences to 2026 or 2025 found across homepage, suggesting recent updates
~Author & Expert SchemaNo visible author byline found across homepage
Every check is a verifiable fact about fabet.science'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 fabet.science more agent-ready, in priority order.
1 Add structured tables and lists high impactlow effort
Present fabet.science's comparison and spec data as real HTML tables and lists agents can extract.
