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GEO report · public sharing

serpstat.com

Technical AI readiness measured using Geoa’s free GEO-test — 15 dimensions that determine whether ChatGPT, Claude, Gemini and Perplexity can read, understand and quote the site.

Last scanned: 2026-10-10 · Back to the benchmark

85.9 /100
Grade: B
Strong technical AI readiness — the site is easy for AI search engines to read and cite. Dimensions marked ‘not measured’ are treated as neutral, typically because the site blocks automatic measurements.
Your Google visibility
93/100
Grade A
Your AI visibility
84/100
Grade B
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The 15 dimensions

🤖 AI Crawler Accessibility 100
  • Sitemap is missing lastmod dates — search engines use them to prioritize recrawling of updated content
🖥️ Server-Side Rendering 100
  • Content appears in HTML — SSR friendly ✓
📄 llms.txt 100
  • llms.txt follows the llmstxt.org spec ✓
  • Ingen /llms-full.txt — anbefalet supplement til llms.txt med fuld sideindholdsindeks. llms-full.txt øger citering på Claude og ChatGPT ved at give dem adgang til komplet kontekst.
📊 Structured Data 65
No issues found ✓
📝 Basic Page Signals 100
No issues found ✓
💬 Content Citability 70
  • Low factual density — AI more often cites pages with numbers, prices, years
  • Only 0/4 headings are questions (0%) — recommend 10%+
🏷️ Brand Entity 80
  • No Wikipedia page — a strong signal for AI authority
🔒 Security 100
No issues found ✓
⚡ Performance 85
  • INP 271ms (denne side, rigtige brugere) — for langsom; Googles grænse er 200ms — og STIGENDE fra 410ms over 25 uger
📱 Mobile Adaptation 100
No issues found ✓
🔗 Internal Links 100
No issues found ✓
⭐ E-E-A-T Content Quality 62
  • Moderate E-E-A-T — room for improvement in several categories
🎯 Platform Optimization 90
  • Ingen FAQ-/spørgsmålssektion fundet på forsiden — de citerede sider besvarer typisk kundernes spørgsmål direkte i teksten
🗂️ Schema Recommendations 80
  • Missing FAQPage schema — FAQs are frequently cited in AI answers
  • Missing BreadcrumbList schema — structures the page path for AI
🔢 Empirical Content Data 77
  • Moderat empirisk tæthed (2 af 20 sætninger med konkrete tal). Mål: mindst 1 empirisk udsagn per ~8 sætninger
  • Intet konkret case-resultat fundet (fx 'sagsbehandlingstid fra 3 uger til 4 dage'). Kundehistorier med målbare resultater er stærkt citerbart indhold — brug kun tal, I selv har målt, og skriv gerne hvornår
  • Lav teknisk forklaringsdybde (0 sætninger forklarer mekanismen bag jeres løsning). AI prioriterer indhold der forklarer HVORDAN frem for HVAD ('vi bruger RAG + vektor-søgning til ...')

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