Safak Medical / AI visibility case study
AI visibility in an untapped niche
Revenue
The pilot identified Arabic- and French-language complex-care information for North African patients as a content opportunity.
Results reported by NeuraCite for 1 June to 21 September 2026.
Project focus and evidence
Market focus: Algeria, Morocco and Tunisia.
Content opportunity: Arabic- and French-language complex-care information for North African patients.
Sources: NeuraCite-reported headline outcomes, the pilot report dated 30 June 2026, and website analytics for 1 June to 21 September 2026.
Before: previous period (estimated). After: 1 June to 21 September 2026.
Visitors
+28%
Reported increase
Before (estimated)
~5,564
After
7,122
Website page views
+71%
Reported increase
Before (estimated)
~7,429
After
12,703
Sessions
+32%
Reported increase
Before (estimated)
~5,984
After
7,899
Before totals are estimates calculated from the report’s rounded percentage changes; earlier-period dates are not included.
The Safak Medical pilot focused on understanding AI visibility, website readiness and content opportunities for people considering treatment in Turkey. It examined Algeria, Morocco and Tunisia, with particular attention to multilingual complex-care information.
What the assessment delivered
AI-answer evidence
The pilot recorded appearances and rank across broad and partner-hospital query groups. These observations help distinguish questions where Safak appeared from those needing further investigation.
Website-readiness findings
The assessment diagnosed 100 pages and recorded website-health and GEO-readiness findings, providing a practical starting point for technical and content review.
Market and content priorities
The review examined competitor presence and identified Arabic- and French-language complex-care decision support as a differentiated content opportunity.
Page-level website evidence
The website analytics show activity across homepages, patient stories and specialist information, helping the team choose language and content types for its next review.
The report gives Safak a concrete view of the pages receiving visits, from its homepage to patient stories and specialist information.
Page
Visitors
Views
Visitors may visit more than one page; row visitor counts should not be added together as distinct people.
Treatment articles, doctor profiles and patient stories all appear in the results. Arabic, English and French pages are represented, making language and content type useful dimensions for the next review.
The same report records an average session duration of 7 minutes 57 seconds and 1.61 views per session. These are source-defined website analytics measures.
Use the page-level report to choose content for a Generative Engine Optimisation review. Track website visits, AI-answer mentions and citations, and enquiries separately so each result has a clear meaning.
Evidence timeline
1 June 2026: the website-analytics reporting window begins.
30 June 2026: the AI pilot report is dated.
21 September 2026: the website-analytics reporting window ends.
Source: Safak Medical website analytics export supplied by the client, 1 June to 21 September 2026. Percentage changes are displayed by the source report. Before counts are calculated estimates; prior-period dates are not shown.
Connect the questions your audience asks with the website and AI-answer evidence you need to review.