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22cc.tours
22cc | Plataforma de cassino online mais importante #2026
AI Agentic Readiness
12 / 30
agentic checks passed 57% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
22cc.tours is live and passes 12 of 30 agentic-readiness checks (57%). It runs on wordpress on cloudflare over HTTPS.
For AI agents, 22cc.tours's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Approximately 714 DOM nodes.
Its main gaps are text that is hard for agents to extract, few clear definitions, no llms.txt for agent discovery, and no content feed. An agent can read 22cc.tours'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 & AccessibilityOnly 52% of images have alt text
✓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 714 DOM nodes
~Page Speed: Load Blockers2 render-blocking script(s) in <head>
Machine extraction
~Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 51% atomic sentences across 1 pages (target 40%+)
~Entity DensityAverage entity density 9.3% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
~Answer Capsule Pattern4/11 H2 sections have 15-30 word self-contained capsules (36%)
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 blog pages sampled - blog speakable coverage not assessed
AI discovery
✗llms.txt FileNo llms.txt file found at https://22cc.tours/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 (11)
✗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 22cc.tours'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 22cc.tours more agent-ready, in priority order.
1 Add structured tables and lists high impactlow effort
Present 22cc.tours's comparison and spec data as real HTML tables and lists agents can extract.
