CASE STUDY 3 · LOCAL GEO — INDIA
Cosmetic Dentist in Banjara Hills Went From Invisible in AI to Recommended in 6 of 9 Hyderabad Neighbourhoods
A cosmetic and dental implants practice in Banjara Hills, Hyderabad, was not appearing when prospective patients asked ChatGPT or Perplexity for recommended cosmetic dentists in their neighbourhood. A dominant competitor with 1,750+ Google reviews was being cited in every query. After eight weeks of Local GEO work, the practice appeared in 6 of 9 tracked Hyderabad neighbourhoods.
| Sector | Cosmetic and Implant Dentistry |
|---|---|
| Location | Hyderabad, India |
| Anonymised | Yes — client name withheld |
The Challenge
The practice had been operating in Banjara Hills for eleven years. Their clinical outcomes were strong and their existing patients were loyal. But when the practice owner asked ChatGPT "best cosmetic dentist Banjara Hills Hyderabad," a competitor clinic based in Jubilee Hills appeared with a confident recommendation. Asking the same question in Perplexity produced a different competitor, also not them.
New patient enquiries from the web were declining despite stable Google Maps visibility. The practice owner later discovered that several prospective patients had asked AI before visiting — and had gone elsewhere based on the AI recommendation.
What the Diagnostic Found
The practice appeared in 0 of 27 prompts at baseline. Zero Recommendation Share.
The dominant competitor had 1,750+ Google reviews, a complete Practo profile with 200+ ratings, a Justdial listing with verified photos, and was mentioned in three "best dentist Hyderabad" editorial articles from 2024 and 2025.
The practice had 31 Google reviews, no Practo profile, no Justdial listing, and no structured data on their website beyond a basic title tag.
AI platforms were reading Practo, Justdial, and Google Maps as their primary sources for dental recommendations in Hyderabad — none of which the practice had a presence on.
What Dattva Did
Week 1 — Technical foundation: the Dattva Local GEO Diagnostic ran 27 neighbourhood-level prompts across Hyderabad — three query variants for nine neighbourhoods within the practice's stated service area. LocalBusiness schema was added to the practice website declaring service area, opening hours, specialties (cosmetic dentistry, dental implants, smile makeover), and location. FAQPage schema added with eight patient questions including "how long do dental implants last" and "what is the difference between veneers and composite bonding." llms.txt was created describing the practice and its services.
Weeks 2–4 — Platform presence: Practo profile created and fully completed with all service categories, pricing range, doctor credentials, and before/after case descriptions (without identifiable patient information). Justdial listing created with verified photos. Google Business Profile was already claimed but had thin service descriptions — each service was expanded with specific, structured text including materials used and procedure steps.
Weeks 5–6 — Review campaign: a structured review request was sent to 15 recent patients referencing their specific treatment. Nine responses received within ten days. Eight of the nine mentioned the treatment type specifically — composite bonding, dental implants, smile makeover — which are exactly the phrases AI platforms extract for category matching.
Weeks 7–8 — Content: a neighbourhood-specific page published for each of the nine target areas: "Dental Implants in [Neighbourhood], Hyderabad — What to Expect and Where to Go." Each page opened with a direct answer block answering "what are the best dental implant options in [neighbourhood]" with the practice positioned as the answer.
The Lesson
For local professional services in Indian cities, AI recommendations are driven almost entirely by the platforms AI can read — Practo, Justdial, and Google Maps for healthcare, not the practice website. A clinic with excellent clinical outcomes but no presence on these platforms has zero AI visibility regardless of its actual quality. The fix starts with the platforms, not the website.
FAQ
How does AI decide which dentist to recommend in a specific neighbourhood?
AI platforms read Practo, Justdial, and Google Maps as their primary sources for dental recommendations in Indian cities. The clinic with the most reviews, the most complete profile, and the most structured description across all three platforms is the one recommended — regardless of clinical outcomes, years of experience, or website quality.
Why did the Recommendation Share jump from 0 to 6 of 9 neighbourhoods so quickly?
The jump was faster than typical because the platform presence gap was complete — zero reviews on Practo, no Justdial listing. Once those profiles were created and the first reviews appeared, the practice moved from invisible to visible across multiple platforms simultaneously. The neighbourhood content pages then reinforced the coverage for location-specific queries.
Does the practice website matter for Local GEO?
Yes, but less than the third-party platforms. The LocalBusiness schema on the website tells AI platforms the service area and specialties in a structured, attributable format. The neighbourhood content pages help with queries that are specific enough that platform results alone do not cover them. But the platform presence — Practo, Justdial, GBP reviews — is the primary driver of recommendation frequency.
Is Local GEO relevant for healthcare practices in India?
Increasingly yes. Patients in Hyderabad, Bengaluru, and Mumbai are using ChatGPT and Perplexity to research specialist clinics before booking — particularly for elective procedures like cosmetic dentistry, orthopaedic consultation, and dermatology. The pattern mirrors what happened with Google search in 2012: early movers built a presence before the channel became competitive. That window is open now for AI.
See where your brand stands in AI answers today
Run a free AI Visibility diagnostic across ChatGPT, Perplexity, Gemini, and Claude — with prioritised, copy-paste fixes at no cost.