Fertility and Metabolic Health

IVF patients research for months
before their first call. Most clinics
are absent for all of it.

Fertility treatment is among the highest-consideration, highest-value healthcare decisions a patient makes. AI chatbots are now central to that research journey. Clinics that are not visible on AI are losing high-value patients before those patients ever contact them.

Check my clinic's visibility →
Rs 2-4L
average revenue per IVF cycle — the highest per-patient value in independent clinics
Industry data
55%
of patients have walked away from a clinic based on what an AI said about it
rater8 2026
92%
of health and symptom queries now trigger a Google AI Overview response
Stanford HAI 2026

What most fertility and metabolic health clinics are missing

IVF patients spend two to six months researching clinics before their first consultation. They ask AI chatbots detailed questions: success rates for their age group, what differentiates clinics, which techniques are used, and who the specialist doctors are.

A clinic that is absent from those AI conversations has lost the patient before the first call. The decision was made during the research phase — and the clinic with the best-structured AI-readable content wins it.

  • IVF success rate pages written as marketing copy provide nothing for AI systems to extract and cite for specific clinical queries
  • No physician credential schema for embryologists and reproductive endocrinologists means AI cannot compare specialist authority
  • Metabolic health, weight management, and hormonal health pages are often disconnected from the IVF clinic's main schema entity
  • Patients asking 'best IVF centre near me in [city]' encounter aggregator sites like Practo and Justdial — not the clinic itself
What Iris delivers

AI visibility for fertility and metabolic health clinics

IVF and fertility clinic schema

MedicalClinic and MedicalProcedure schema for IVF, IUI, ICSI, egg freezing, PGT, and donor egg programmes. Person schema for reproductive endocrinologists and embryologists with credential data.

GBP with fertility clinic category and weekly posts

Category set to Fertility Clinic or Reproductive Health Clinic with weekly posts on fertility awareness topics, success story highlights, and seasonal health content.

Success rate and FAQ pages for AI citation

Clinical resource pages answering the specific questions IVF patients ask AI chatbots: success rates by age group, procedure comparisons, treatment timelines, and what to expect at each stage.

Ads for IVF, weight management, and hormonal health

Google Ads campaigns for high-value queries: 'IVF centre in [city],' 'PCOS treatment near me,' 'weight loss clinic India.' Includes landing page optimisation.

Procedures covered

Every treatment page is AI-readable and schema-marked

IVF
IUI
ICSI
Egg freezing
Embryo freezing
PGT-A / PGT-M
Donor egg IVF
Surrogacy coordination
Fertility assessment
PCOS management
Endometriosis treatment
Male fertility treatment
Weight management
Thyroid and hormonal health
Diabetes management
Metabolic health
Questions

Fertility and Metabolic Health owners ask

IVF patients are searching extensively before calling us. What should we do differently?+
IVF patients who arrive well-researched are more likely to proceed with treatment and have realistic expectations. The clinic that educates them during the research phase — through AI-citable FAQ content, success rate pages, and treatment comparison resources — enters the consultation having already established authority. Iris builds the content and infrastructure that makes your clinic the educational source AI chatbots draw from.
How do I make our IVF success rates appear in AI searches?+
Success rate content must be written with direct, extractable answer sentences at the top — not buried in paragraphs of context. FAQPage schema applied to your success rate FAQ makes the data directly extractable by AI. Data should be presented by age group (as ICMR and SART do) so AI systems can match it to specific patient queries like 'IVF success rates for 38-year-old woman.'
We also offer weight management and hormonal health. How does Iris handle multiple specialties?+
Iris creates a schema @graph structure that connects all the clinic's services under one MedicalClinic entity, with individual MedicalProcedure schema entries for each. This tells AI systems that weight management, hormonal health, and IVF are all offered by the same clinic at the same location — enabling cross-specialty citations.
Is the IVF clinic market in India competitive for AI visibility?+
Currently, very few IVF clinics in India have built any AI visibility infrastructure. The competitive window is wide. A clinic that moves now in a market like Bengaluru, Mumbai, or Hyderabad has a high probability of becoming the default AI-recommended IVF centre in that city before competitors build equivalent infrastructure.
Further reading

Blog posts

India · New
The IVF patient researches for four months. Is your fertility clinic visible in that window?
India · New
Weight management and hormonal health are among India's fastest-growing AI search categories.
AI Search
AI just overtook the GP referral as the number one way patients choose a doctor
Patient Data
The 45-60 age group leads AI healthcare provider search at 64%
Content
Patients arrive with AI diagnoses. The clinic that educated them first gets the booking.
Reputation
55% of patients have walked away from a clinic based on what an AI said about it

Find out if your fertility clinic is visible where patients research

IVF patients make high-stakes decisions during the research phase. Be visible in that phase.

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