GEO report · public sharing
hm.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
61.4
/100
Grade: D
Average — AI search engines can read parts of the site, but important signals are missing. Dimensions marked ‘not measured’ are treated as neutral, typically because the site blocks automatic measurements.
Average — AI search engines can read parts of the site, but important signals are missing. Dimensions marked ‘not measured’ are treated as neutral, typically because the site blocks automatic measurements.
Your Google visibility
60/100
Grade D
Your AI visibility
66/100
Grade D
The 15 dimensions
🤖 AI Crawler Accessibility
100
No issues found ✓
🖥️ Server-Side Rendering
50
- HTTP 403 ved hentning — SSR ikke målt (bot-beskyttelse), neutral score 50 anvendt
📄 llms.txt
50
- HTTP 403 when fetching /llms.txt — not measured, neutral score 50 applied
📊 Structured Data
50
- Could not fetch the page (HTTP 403) — structured data not measured, neutral score 50 applied
📝 Basic Page Signals
100
- 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
70
- No H2/H3 headings found — hard for AI to extract structure
- No tables or lists — structured content improves AI extraction
- Few highlighted key terms — bold text guides AI attention
🏷️ Brand Entity
85
- No LinkedIn link on the website
🔒 Security
100
- Security-headers kunne ikke måles (HTTP 403, bot-beskyttelse) — ikke medregnet
⚡ Performance
43
- CLS 1.66 (denne side, rigtige brugere) — for høj; Googles grænse er 0.1 — på vej ned fra 0.14 over 25 uger, så det virker
- INP 214ms (denne side, rigtige brugere) — for langsom; Googles grænse er 200ms — på vej ned fra 328ms over 25 uger, så det virker
- LCP 3547ms (denne side, rigtige brugere) — for langsom; Googles grænse er 2500ms — og STIGENDE fra 1771ms over 25 uger
📱 Mobile Adaptation
50
- Homepage HTML could not be fetched — mobile adaptation not measured
🔗 Internal Links
20
- Only 0 internal links — recommend 5+ for AI crawlability
⭐ E-E-A-T Content Quality
0
- Weak E-E-A-T profile — AI search engines rate trustworthiness as low
- Few trust signals — add author bios, certifications, case studies
🎯 Platform Optimization
65
- Ingen FAQ-/spørgsmålssektion fundet på forsiden — de citerede sider besvarer typisk kundernes spørgsmål direkte i teksten
- Few question-answer patterns — AI often cites direct answers
- Only 0/2 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
55
- Lav empirisk tæthed: kun 0 af 2 sætninger indeholder konkrete tal, procenter eller kvantificerede resultater. At tilføje statistikker var blandt de mest effektive ændringer i KDD'24-studiet (30-40 % på studiets primære synlighedsmål)
- 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
- Ingen ekstern kildehenvisning fundet. Citater fra analysefirmaer eller branchestudier øger AI's tillid markant
- 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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