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mr-money.de
Versicherungsvergleichsportal: Ein umfassender Überblick
AI Agentic Readiness
10 / 28
agentic checks passed 49% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
mr-money.de is live and passes 10 of 28 agentic-readiness checks (49%). It runs on joomla on Apache over HTTPS.
For AI agents, mr-money.de's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Approximately 1149 DOM nodes.
Its main gaps are text that is hard for agents to extract, few clear definitions, no speakable schema for voice agents, and no llms.txt for agent discovery. An agent can read mr-money.de'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 42% of images have alt text
✓Clean, Crawlable HTMLPage has title and meta description
✗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 & Responsiveness26/50 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 1149 DOM nodes
~Page Speed: Load Blockers8 render-blocking script(s) in <head>
Machine extraction
~Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 78% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 35.2% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
~Answer Capsule Pattern3/15 H2 sections have 15-30 word self-contained capsules (20%)
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://mr-money.de/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 SignalsNo hreflang alternate links found
?Content Licensing & AI PermissionsNot assessed
Trust & transparency
~Entity Authority & E-E-A-TMultiple phone numbers found (6)
✗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 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 mr-money.de'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 mr-money.de more agent-ready, in priority order.
1 Add structured tables and lists high impactlow effort
Present mr-money.de's comparison and spec data as real HTML tables and lists agents can extract.
