In the aesthetic industry, discovery increasingly begins inside AI answers, and not search result pages.
When prospective patients ask AI platforms about treatments, safety, comparisons, or suitability, the brands that appear in those responses shape perception long before a website visit.
This aesthetic clinic wanted to understand a simple but critical question: How often is our brand actually being surfaced in AI answers, and how is that changing over time?
AI Visibility & Authority Metrics
- Brand Mention Coverage: 52%
- Website Citation Coverage: 29.75%
- Average AI Ranking: 1.89 across 135 tracked prompts
- Share of Voice: 9.33% overall
2-Month Performance Trend
- Share of Voice increased from 5.4% → 9.4%
- Your Brand Mentions grew from 117 → 1,046
What Was Done (Strategy Breakdown)
1. AI Visibility Baseline & Gap Identification
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Measured brand mentions, citations, and rankings across 400 tracked AI responses.
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Identified prompts where competitors were referenced more frequently.
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Prioritised treatment-related prompts with commercial intent.
2. Treatment-Level AEO Optimisation
- Refined treatment pages to improve clarity around:
- Suitability
- Benefits vs alternatives
- Safety considerations
- Structured our content in answer-ready formats, preferred by AI systems.
3. Authority & Trust Reinforcement
- Strengthened brand–procedure associations.
- Reduced ambiguous phrasing that can cause AI systems to default to neutral or larger competitors.
- Improved contextual cues AI models rely on for citation confidence.
4. Continuous Tracking & Iteration
- Monitored changes in share of voice and brand mentions weekly.
- Validated improvements through ranking and citation movement, not assumptions.
- Adjusted optimisation focus based on prompt-level performance.
Why Tracking AI Visibility Matters for Aesthetic Clinics
- AI systems increasingly influence early treatment consideration.
- Visibility loss doesn’t always show up in search rankings.
- Patients often form perceptions before visiting a clinic’s website.
Without measurement:
- Clinics don’t know which procedures AI associates with their brand.
- Competitor visibility gaps remain hidden.
With tracking:
- Share of voice becomes measurable.
- Improvements can be validated over time.
- Strategy shifts from reactive to data-led.
What This Case Study Signals
This clinic did not chase traffic alone.
They focused on understanding how AI systems interpret credibility, treatment relevance, and brand authority.
As healthcare and aesthetic discovery increasingly shifts toward AI-generated answers, visibility is not about being searchable, but about being referenced and recommended.
Platforms like Zicy make this visibility measurable, enabling brands to adapt as AI-driven discovery continues to evolve.
For more AEO/GEO case studies, visit us at https://www.zicy.com/case-studies
