In This Article
One Platform, Five Sites, One Fix
Five homepages share one domain and one template, and they share the same blind spots. AI can read what each page is called. It cannot verify who is speaking or whether the page is still true.
In This Article
- National average: 69.4, Grade C. This is the highest of the four national profiles so far (Austria 49.0, Belgium 49.8, Croatia 40.4). It is the first profile with no site in Grade D. The range is 66 to 81.
- The portal is Grade B (81), and four ministries sit at 66 to 67. All five live under gov.cy, and their scores are identical on four dimensions: entity clarity 100, schema and metadata 85, freshness 45 and trust 0.
- Still zero JSON-LD on all five. Cyprus leads on metadata the template already emits, not on structured data. Entity connectivity, knowledge-graph anchoring and E-E-A-T density are 0/100 everywhere.
- The dates exist but are stale. The four ministries are flagged at 2.6 years without an update signal, and the portal at 895 days. Croatia had no dates at all. Cyprus has dates nobody maintains.
- Four of five carry competing H1 tags (4, 4, 2 and 6, a total of 16). The portal has a single H1 and a structure score of 100. The fix already exists inside the same platform.
The profile in one view
Scores are the Inspector’s dimension scores (0 to 100) for each homepage.
| Area | Portal | Finance | Research and Digital | Tourism | Justice |
|---|---|---|---|---|---|
| Content architecture | 100 | 55 | 55 | 55 | 55 |
| Data extractability | 64 | 54 | 47 | 49 | 52 |
| Entity clarity | 100 | 100 | 100 | 100 | 100 |
| Schema and metadata | 85 | 85 | 85 | 85 | 85 |
| Freshness signals | 45 | 45 | 45 | 45 | 45 |
| Trust and authorship | 0 | 0 | 0 | 0 | 0 |
| Overall index | 81 (B) | 67 (C) | 66 (C) | 66 (C) | 67 (C) |
Shading: 75 and above strong, 50 to 74 moderate, 20 to 49 weak, below 20 absent. The portal is gov.cy; the ministries are gov.cy/mof, /dmrid, /tourism and /mjpo.
Cyprus against Austria, Belgium and Croatia
Averages of the five homepages in each country.
| Measure | Austria | Belgium | Croatia | Cyprus |
|---|---|---|---|---|
| Overall index | 49.0 | 49.8 | 40.4 | 69.4 |
| Range (low to high) | 44 to 55 | 35 to 77 | 38 to 46 | 66 to 81 |
| Sites above Grade D | 1 | 1 | 0 | 5 |
| Sites with any JSON-LD | 0 | 1 | 0 | 0 |
| Sites with competing H1s | 1 | 1 | 4 | 4 |
| Content architecture | 94.0 | 94.0 | 76.0 | 64.0 |
| Data extractability | 69.8 | 52.6 | 55.6 | 53.2 |
| Entity clarity | 45.0 | 47.0 | 44.0 | 100.0 |
| Schema and metadata | 15.0 | 21.0 | 12.0 | 85.0 |
| Freshness signals | 3.2 | 21.0 | 0.8 | 45.0 |
| Trust and authorship | 2.6 | 3.4 | 0.0 | 0.0 |
Cyprus is the mirror image of Austria and Belgium. They had near-perfect architecture and weak metadata. Cyprus has the best metadata in the series and the weakest architecture, at 64.0. The score gain comes from what the template already does right (Open Graph tags, canonical URLs, a date signal). Nothing yet carries machine-readable identity.
Where Cyprus needs to improve
Ranked by how many institutions are affected and how much one fix would unlock.
1. Structured identity (all five)
No Organization, Person or Article schema exists on any site. The only person the pages declare is “admin”, which looks like a CMS default author. Organizations are detected under their Greek names on English-language pages (Υπουργείο Οικονομικών, Υφυπουργείο Τουρισμού), and the portal is detected as “GovCy”, an abbreviation. On the Justice homepage the detected organization is the Department of Fisheries and Marine Research, which is a different institution.
2. Dates that are present but no longer true (all five)
The content is dated about 2.6 years ago on the four ministries and 895 days ago on the portal, with no update signal. Engines that weigh recency read this as abandonment, whatever the editorial reality. One visible example is an item on the Justice homepage reading “Cyprus to assume EU Council Presidency in 2026”, still in the future tense after the presidency ended on 30 June 2026.
3. One H1 per page (four of five)
The ministries carry 6, 4, 4 and 2 H1 tags, which holds their structure score at 55 against the portal’s 100. Claude’s score shows the cost: 91 on the portal against 67 to 68 on the ministries.
4. Interface text in the query layer (all five)
Three of the portal’s 15 candidate queries are cookie-banner sentences. “Digital Assistant BETA” and “Ask the digital assistant” appear as topics on the portal and two ministries. The ministries add “Related Content”, “Other Websites” and “Follow the Deputy Ministry on social media”. Query alignment is 0/10 on all four ministries.
5. Summary anchors and depth (all five)
Meta descriptions are missing on all five, and this is the single gap holding the metadata score at 85. No homepage reaches the 600-word retrieval target (573, 373, 345, 338 and 271 words), and Tourism falls below the 300-word minimum. Gemini scores highest (77.4 average) and Perplexity lowest (64.6), but Gemini reports “schema ecosystem complete” on four sites with no JSON-LD, so its reading is generous.
Cyprus’s homepages are well labelled and badly dated. A machine knows what they are called. It cannot tell whether they are still true.
Institution profiles
gov.cy, the national portal – Grade B – 81/100
The page the others should copy
Strengths: The only site with a single H1 and a structure score of 100. It is the top scorer on every engine (Perplexity 74, ChatGPT 86, Claude 91, Gemini 83, Copilot 91), and its 15 candidate queries describe real citizen tasks: benefits, business life cycle, agricultural subsidies.
What AI sees: An organization called “GovCy”, concepts such as “Cy Login Service” and “Digital Assistant”, and cookie-notice text posing as questions. No topic clusters.
Missed opportunity: The front door of the state could be the machine-readable root of all government. A WebSite and GovernmentOrganization record would let every ministry inherit one verified identity. “Find benefits you may qualify for” is the most answer-shaped query in the national set, and it sits unmarked, with no service schema, no meta description and a date 895 days old.
Ministry of Finance – Grade C – 67/100
The richest ministry page, still in Greek on an English URL
Strengths: The deepest ministry homepage (373 words), the best extractability of the four (54) and the best Copilot score among them (75).
What AI sees: “Υπουργείο Οικονομικών”, an “Annual Progress Report” with no year or subject, “Related Content”, a digital-assistant prompt, and “Foreign Direct Investment Screening”, truncated to “Direct Investment” in the entity layer.
Missed opportunity: Finance holds the facts that investors, journalists and researchers ask machines for: how Cyprus screens foreign investment, and what its annual progress report says. Both appear only as headings, with no publisher, year or date. A dated Report record and a described Service for investment screening would let an engine cite the ministry, not a third-party summary.
Deputy Ministry of Research, Innovation and Digital Policy – Grade C – 66/100
The most newsworthy homepage, with the least structure behind it
Strengths: Active publishing: a digital conference, press statements and a clear national positioning line. It has the highest entity graph stability among the ministries (77).
What AI sees: The Deputy Ministry under its Greek name, “Digital Conference” and “Next Digital Frontier” as loose concepts, the positioning line (“a fast growing regional hub for R&I…”) parsed as a question, and 3 images without alt text. Digital policy registers only as a 48%-clarity label, with no topic cluster.
Missed opportunity: This is the institution that owns Cyprus’s innovation story, and its best sentence is the hub claim. Today that claim has no date, no evidence block and no markup, so no engine can repeat it with a source. Event markup for the conference, dated NewsArticle records for statements (such as the one with the ERC president) and a plain-language policy statement would turn positioning into citable fact.
Deputy Ministry of Tourism – Grade C – 66/100
Fewest structural faults, thinnest content
Strengths: Only 2 H1 tags, the closest of the four to a clean structure.
What AI sees: The lowest entity graph stability in the set (63, co-occurrence 2/15) and the thinnest page (271 words). The detected topics are navigation labels: “Who we are?”, “Other Websites”, “Schemes & Programmes”, “Tourism Observatory” and a social-media prompt. ChatGPT’s citation estimate is the lowest of the five (about 31%).
Missed opportunity: Tourism is the sector where people most often ask an AI assistant for facts and recommendations. The Tourism Observatory is the ministry’s natural data asset and the “Schemes & Programmes” block its support offer, yet each appears as a name with no description a machine can use. The page already lists its social profiles, which are exactly what sameAs needs. Describing both blocks would give engines something to quote.
Ministry of Justice and Public Order – Grade C – 67/100
A ministry whose entity layer names someone else
Strengths: The highest number of answerable topics of the ministries (Public Order, Gender Equality, Women’s Issues), and strong Gemini and Copilot readings (76 and 74).
What AI sees: Six competing H1 tags, the highest in the set, and a detected organization that is the Department of Fisheries and Marine Research. The EU presidency announcement is still in the future tense, and “Woman Issues” and “Gender Equality Sector” register only as 48%-clarity fragments.
Missed opportunity: The ministry’s own homepage does not tell a machine which ministry it is. Its most visible national moment, the EU presidency, is now an expired future-tense claim. Gender equality, a sector with direct citizen-rights content, is detected as a fragment rather than a named service. A correct organization record, an archived presidency item and named programme pages would make this the clearest ministry in the set.
Scope and method
Each institution’s English-language homepage was audited once on 5 October 2026 with the AI Visibility Inspector (v1.9.3) and the Ivica Srncevic Framework. This is a homepage snapshot, not a full-site audit, and the Greek-language pages were not audited. All five sites share the gov.cy domain, unlike Croatia’s separate ministry domains. The shared-template reading is an inference from identical scores and repeated labels and should be confirmed in the page source. The Inspector marks some entities “Schema ✓” and credits entity clarity at 100 while its own schema check reports no JSON-LD. This profile treats JSON-LD as absent and reads the credit as coming from Open Graph and page-level metadata. The “admin” author is read as a CMS default. Engine citation percentages are the tool’s estimates. The Inspector’s “content gaps” list is identical on all five and was left out.
This research series also includes National AI profiles of Austria, Belgium, Croatia and Cyprus.
Also see how Cyprus’s flagship enterprises perform in AI.
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Inputs
Enter your own data where possible. Hover over labels or open “Methodology” for details on how each field is used.
From GA4, GSC, or your SEO platform. Use a 30–90 day average.
Session → lead / signup / purchase. Use decimal (e.g. 1.2 for 1.2%).
For B2B, use average deal value or LTV. Currency is symbolic here.
Used to show profit‑based cost of inaction. Leave at 100 to ignore.
Share of organic traffic from queries/pages likely to be influenced by AI answers and retrieval systems.
Based on observed traffic loss patterns in AI search and structural decay cases.
Expected organic growth if you do nothing special about AI visibility.
Plausible uplift over the chosen horizon based on case studies.
How these numbers are calculated (methodology)
Let:
- O₀ = monthly organic sessions
- CVRₒ = organic conversion rate (as a decimal)
- ARPC = average revenue per conversion
- GM = gross margin (as a decimal)
- E = AI exposure share (as a decimal)
- D = displacement rate (as a decimal)
- T = time horizon in months
Baseline monthly revenue:
- Revenue: \(R_0 = O_0 imes CVR_o imes ARPC\)
- Profit: \(R_{0,profit} = R_0 imes GM\)
Monthly revenue at risk (for a given D):
- \(R_{risk} = R_0 imes E imes D\)
- Profit version: \(R_{risk,profit} = R_{risk} imes GM\)
The tool computes R_risk for three scenarios:
- Conservative: D = 0.15
- Base: D = 0.30 (or your selected scenario)
- Aggressive: D = 0.50
Cost of Inaction over T months is approximated as:
- \(CoI(T) = R_{risk} imes T\)
- Shown as a range from conservative to aggressive.
The growth inputs (g₀, g₁) are currently used for narrative context and can be incorporated into a more advanced version that models opportunity cost explicitly.
