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GEO report · public sharing

storaenso.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: 2026-10-09 · Back to the benchmark

73.9 /100
Grade: C
A solid foundation, but there are several areas that could be improved to increase the likelihood of AI citations. Dimensions marked ‘not measured’ are treated as neutral, typically because the site blocks automatic measurements.
Your Google visibility
77/100
Grade C
Your AI visibility
73/100
Grade C
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The 15 dimensions

🤖 AI Crawler Accessibility 100
No issues found ✓
🖥️ Server-Side Rendering 50
  • Could not verify SSR status
📄 llms.txt 50
  • Could not access /llms.txt — not measured, neutral score 50 applied
📊 Structured Data 50
  • Could not fetch the page — structured data not measured, neutral score 50 applied
📝 Basic Page Signals 85
  • 2 H1 headings — recommend only one per page
  • Meta description could not be measured (page could not be fetched) — not counted
  • Canonical tag could not be measured (page could not be fetched) — not counted
  • OG/social-tags kunne ikke måles (siden kunne ikke hentes) — ikke medregnet
💬 Content Citability 85
  • Only 0/10 headings are questions (0%) — recommend 10%+
🏷️ Brand Entity 60
  • No Wikipedia page — a strong signal for AI authority
  • No Wikidata entry — less entity recognition in AI
🔒 Security 100
  • Security-headers kunne ikke måles (HTTP 302, bot-beskyttelse) — ikke medregnet
⚡ Performance 100
No issues found ✓
📱 Mobile Adaptation 50
  • Homepage HTML could not be fetched — mobile adaptation not measured
🔗 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 80
  • Ingen FAQ-/spørgsmålssektion fundet på forsiden — de citerede sider besvarer typisk kundernes spørgsmål direkte i teksten
  • Only 1/2 community validation signals found — recommend Trustpilot, G2, case studies or LinkedIn
🗂️ Schema Recommendations 50
  • Struktureret data kunne ikke måles — schema-anbefalinger ikke vurderet, neutral score 50 anvendt
🔢 Empirical Content Data 77
  • Moderat empirisk tæthed (2 af 33 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 (1 sætning forklarer mekanismen bag jeres løsning). AI prioriterer indhold der forklarer HVORDAN frem for HVAD ('vi bruger RAG + vektor-søgning til ...')

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