Key results at a glance:
- Grew AI visibility score 4x, from 0.32 to 1.41, in two months
- Tripled answer coverage across tracked AI engines, from 0.91% to 2.73%
- Went from appearing in 1 AI answer to 3, out of 110 answers tracked per run
- Reached 50% share of voice on two high-intent searches: pediatric squint treatment and acne clinic comparisons
- Reached 23% share of voice on corneal transplant searches, a category long led by larger hospital chains
- Completed 50 site health audits with zero critical issues found
The challenge: near-invisible in AI-generated health answers
KMC Hospitals is a multi-specialty hospital in Navi Mumbai, treating patients across ophthalmology, dermatology and general medicine. As more patients started asking AI assistants like ChatGPT, Perplexity and Gemini where to go for eye care, skin treatment or a family doctor, KMC rarely came up.
Before PingAura, from the visibility dashboard:
- AI visibility score: 0.32, near the bottom of a competitive set that included Apollo Hospitals, Fortis Healthcare, Practo and several specialised eye and skin clinics
- Coverage rate: 0.91% of tracked answers mentioned KMC at all
- Presence: KMC appeared in just 1 of 110 tracked answers
- Share of voice: 0.21%, effectively unmeasurable
The core problem: patients were already asking AI where to go for eye care, skin treatment and family medicine in Navi Mumbai. KMC had no way to see those conversations, and no way to influence them.
The solution: AI visibility monitoring with PingAura
KMC Hospitals partnered with PingAura to measure, and then grow, its presence in AI-generated health answers.
Step 1: Establish a baseline
PingAura set the starting point using the May 13 visibility run:
- AI visibility score: 0.32
- Coverage rate: 0.91%
- Presence: 1 of 110 tracked answers
- Share of voice: 0.21%
This baseline became the benchmark for everything that followed.
Step 2: Audit site health
PingAura ran 50 site health audits across KMC's tracked pages.
- Critical issues: 0
- High-priority issues: 8
- Medium issues: 22
- Low issues: 40
Zero critical failures meant the foundation was solid. The 70 issues found were fixable, and the 8 high-priority items became the first focus.
Step 3: Identify high-impact queries
PingAura tracked 49 active prompts covering KMC's core specialties: eye care (cataract, LASIK, corneal transplant, pediatric eye issues), dermatology (acne, pigmentation, hair loss) and family medicine. Instead of spreading effort evenly, PingAura surfaced the specific searches where KMC had the clearest opening to win.
Step 4: Monitor, iterate and grow
With ongoing tracking across every run, PingAura measured movement week over week and kept focus on the queries showing real traction.
The results: measurable gains from a standing start
Visibility grew 4x. The score moved from 0.32 to 1.41 in two months, a clear, consistent upward trend from a standing start.
Coverage tripled. KMC now shows up in 2.73% of tracked AI answers, up from 0.91%.
Specific queries turned into real wins. Rather than a broad, even lift, the growth is concentrated in searches where KMC now competes directly with much larger hospital names:
- "Where to treat squint in children, Navi Mumbai": 50% share of voice, visibility score 29.3
- "Best acne treatment clinic vs dermatologist in Navi Mumbai": 50% share of voice, visibility score 26.8
- "Best corneal transplant hospital in Navi Mumbai": 23% share of voice, visibility score 21.4
On the first two queries, KMC now ties for the top mention. On corneal transplant searches, a category historically dominated by larger multi-city chains, KMC has established a real, citable presence.
What's next for KMC Hospitals
The first two months build a strong foundation. The next phase focuses on:
- Closing the 8 high-severity site health issues identified in the audit
- Extending the query-level wins in eye care and dermatology to the remaining tracked prompts that have not yet shown presence
- Expanding coverage across additional AI platforms as tracking matures
Why this matters for hospitals and clinics
Patients increasingly turn to AI assistants for hospital and doctor recommendations, especially for specific concerns like a child's squint, a parent's cataract or a persistent skin condition. For hospitals, being cited in these answers means being part of the decision before a patient ever opens a search engine or picks up the phone.
- Patients use AI to compare hospitals and specialists
- Patients use AI to shortlist treatment options before booking a consultation
- Hospitals with stronger AI visibility earn the first mention, and often the first appointment
