15 questions eye and LASIK patients ask AI, and what answers them
Before anyone books a LASIK consult or a cataract surgery date, they ask an AI chatbot about it first, quietly, without calling a single clinic. I wanted to know whether Indian eye and LASIK clinic websites are actually built to answer those questions, so I scanned 18 real clinic homepages across six cities and checked them against the same 15 questions a nervous patient types into ChatGPT, Perplexity, or Google's AI Overview. The results say most of these clinics are technically strong and functionally invisible for the one thing that matters most: getting named in the answer.
This is one entry in an ongoing series where I take 15 real questions a specific type of patient asks an AI engine, and check whether businesses in that category are actually set up to be the answer. Earlier posts covered dental clinics, dermatology, cosmetic surgery, hair transplant clinics, and IVF centres, this one is about eye, LASIK, and cataract clinics in India.
Eye surgery decisions carry real anxiety. Someone deciding on LASIK or cataract surgery is not casually browsing, they are trying to understand cost, safety, recovery, and whether they even qualify, often weeks before they book a single consultation. That research increasingly happens inside an AI chat window, not a search results page, which means the clinic that answers clearly in text, not in a PDF or a phone call, is the one that gets remembered.
So I scanned 18 real Indian eye and LASIK clinic homepages across Mumbai, Delhi, Bangalore, Hyderabad, Chennai, Kolkata, and multi city chains, using the same deterministic scoring tool behind the free tools on this site. For each clinic I checked the structural things an AI engine actually relies on: schema markup, FAQ markup, page title, H1 structure, and Open Graph tags, then matched what I found against the 15 questions a real patient types before they ever pick up the phone.
The 15 questions, and the fix for each
Most clinics quote LASIK pricing only over a phone call or a WhatsApp message, which means there is nothing on the page for an AI engine to read or repeat. Put an actual price range in visible text on the procedure page, and mirror that same range in the offers.priceRange field of the clinic's schema so both a human and an answer engine see the same number.
A price that only exists in a phone call does not exist to the AI reading your website.
This is the single most common fear question and almost no clinic answers it in plain text on the page itself. Add a short, honest FAQPage entry with the literal question and a direct answer describing what patients feel during and after the procedure, including that some discomfort or pressure is normal, not billed as pain free. A vague safety claim buried in a brochure PDF cannot be cited, a two sentence answer in FAQPage schema can.
The question patients are most afraid to ask out loud is the one most clinics fail to answer in text at all.
Recovery timelines are usually mentioned once, in passing, inside a general aftercare paragraph that blends LASIK, SMILE, and cataract recovery together. Give LASIK its own heading and its own FAQPage entry stating a realistic recovery window in days, separate from the other procedures. A dedicated section is far easier for an AI engine to extract and cite than one paragraph trying to cover three surgeries at once.
If three procedures share one paragraph, none of them get cited clearly.
Eligibility depends on specific, checkable factors like eye power, corneal thickness, and age, and most clinics never state these on the page, they say come in for a free consultation instead. Write out the actual eligibility criteria in plain text, for example a minimum corneal thickness range or a stable eye power for at least a year, and add it as an FAQPage entry answering this exact question.
A come in for a consult is not an answer an AI engine can quote, a list of eligibility criteria is.
Clinics that offer all four procedures often describe them on one blended eye surgery page instead of as separate offerings. Give each procedure its own MedicalProcedure schema instance, LASIK, SMILE, PRK, and Contoura, with distinct fields for what it involves and who it suits, and write a short honest comparison in visible text. A blended page reads as one topic to an AI engine even when it is trying to answer a comparison question.
Four procedures crammed into one page read as one topic to the AI trying to compare them.
Cataract pricing usually splits by lens type, but almost no clinic shows that split in visible text, it lives inside a printed price list handed over in person. State the price range for at least the common lens categories on the page and reflect the same figures in offers.priceRange in the clinic's schema. An AI engine answering a cost question needs a number it can actually find on the page.
A price list handed over in person is invisible to the AI reading the website.
Cataract surgery is usually described as quick and comfortable in marketing copy but rarely gets a direct, specific answer to whether it hurts. Add an honest FAQPage entry stating what patients typically feel, numbing drops, mild pressure, no sharp pain for most patients, rather than an unqualified painless claim. A specific, honest answer is more citable and more trustworthy than a blanket assurance.
An unqualified painless claim is easy to write and hard for an AI engine to trust or quote.
Lens options are frequently explained through a diagram or an infographic image with no real alt text, so an AI engine sees a blank image where the actual explanation lives. Write out monofocal, multifocal, and any premium lens options under their own heading with plain text differences, and if a diagram stays on the page, give it a real descriptive caption and alt text.
A lens comparison living only inside an image is invisible to every AI engine reading the page.
Aftercare instructions for cataract surgery are often only available as a PDF handed to patients after the procedure, never as text on the website itself. Publish the recovery timeline and basic aftercare steps as visible text under a dedicated cataract recovery heading, and add it as an FAQPage entry. A PDF that only exists post surgery cannot help a patient researching beforehand, and it cannot be read by an answer engine either.
Aftercare instructions locked in a post surgery PDF cannot answer the question someone asks before booking.
Patients who do not know the terms LASIK or SMILE search in plain language like this, and clinics that only use procedure names miss that query entirely. Add an FAQPage entry that starts from the plain language phrase and then explains the actual procedure names and how they differ, so the page matches how people actually ask the question, not only how clinics label their services.
If your page only speaks in procedure names, it misses the patients who do not know those names yet.
Age eligibility is a simple factual answer, usually around eighteen with a stable eye power, but it rarely appears anywhere on clinic sites in text form. Add a short, direct FAQPage entry stating the minimum age and the stability requirement clearly. This is one of the fastest fixes on this list, one fact, one sentence, one schema entry.
A one sentence fact is the cheapest citation a clinic can win, and most have not written it down yet.
Side effects are the fact clinics are most tempted to leave out, but an AI engine answering this question needs an honest source, not a silent one. Add an FAQPage entry that names the common temporary side effects, including dry eyes, glare, or halos at night, and states that these usually settle within weeks for most patients rather than claiming there are none.
Leaving out the side effects question does not stop patients from asking it, it just stops your clinic from being the one who answers it.
This question rewards credentials and evidence, not adjectives like experienced or trusted. Add Physician schema for the named operating ophthalmologist with actual medical credentials such as MS Ophthalmology or DNB and a medicalSpecialty field, and tie an aggregateRating to a real, disclosed review count rather than a round, unexplained number. A named surgeon with real credentials in schema is something an AI engine can verify and cite, a claim of being the best is not.
Best is an adjective an AI engine cannot verify, a named surgeon with real credentials is.
Insurance coverage is a genuine yes for most standard cataract surgery in India under most health policies, but clinics rarely state this plainly, leaving patients to guess. Add a direct FAQPage entry answering the general position, that cataract surgery is typically covered under health insurance in India subject to the individual policy, and note that the clinic can assist with claims.
A guessed answer to an insurance question is a lost patient, a clear one is a booked consultation.
Financing details usually live in a conversation with the front desk rather than on the page, even though this is often the deciding factor for a patient on the fence. State the available EMI or financing options in visible text near the pricing section, and add it as its own FAQPage entry. A financing answer that only exists in a phone call cannot be surfaced when someone asks an AI engine about paying for LASIK.
The financing answer that only lives in a phone call cannot be surfaced when someone asks an AI engine how to pay for it.
What I found scanning 18 eye and LASIK sites
Across the 18 clinics, the median AI readability score came out to 87 out of 100, with a range from 54 to 97. Twelve scored an A, four a B, and two a C. Structured data, the schema markup that helps a page get read correctly, was present on 17 of the 18 clinics, so schema presence by itself is not what separates the strong sites from the weak ones here, the one clinic without any structured data was also the lowest scorer of the batch, a C at 54.
The real gap is not whether schema exists, it is which kind. FAQ markup, the exact schema type that lets a page answer a direct question the way the 15 above are asked, was present on just 1 of the 18 clinics. Seventeen of eighteen eye and LASIK clinic sites in this scan have no FAQ schema at all. On top of that, 6 of 18 do not have a clean, well formed page title, and 7 of 18 are missing a clear single H1 heading or have a broken one, both of which make it harder for an AI engine to understand what the page is even about before it gets to the content.
For context, eye and LASIK clinics scoring a median of 87 puts this vertical among the stronger ones I have scanned so far, tied with cosmetic surgery at 87, just behind dermatology at 89 and IVF at 90, and comfortably ahead of hotels at 76 and restaurants at 79. If you run a clinic and want to close the FAQ and MedicalProcedure gap described above without hand writing schema from scratch, my free schema generator tool builds valid FAQPage and MedicalProcedure markup from your own procedure list and pricing, ready to drop onto the page.
The pattern under all 15
Do not try to fix all 15 of these at once. Read back through the list and pick the one question closest to what your own patients actually ask at the front desk or in a first WhatsApp message, that is the highest leverage place to start, not the question that feels the most technically interesting to fix.
Once you have picked that one, run your own clinic's site through my free Report Card tool. It checks the same things this scan checked, schema, FAQ markup, page title, H1 structure, and Open Graph tags, and tells you exactly where your site stands before you spend time guessing.
Frequently asked questions
how did you actually scan these 18 clinics
I ran each clinic's homepage through the same deterministic AI readability tool that powers the free tools on this site. It checks structural facts like whether schema markup, FAQ markup, a clean title, a single H1, and Open Graph tags are present, it does not use an AI model to judge or guess, so the same page scores the same way every time.
does this apply to a small solo surgeon clinic or only big chains
It applies to both. The scan checked page structure, not clinic size or revenue, and some of the highest scoring sites in this batch were single location clinics, not the large multi city chains. A one surgeon clinic with a clean, well marked up page can out rank a chain with a messier one.
how long do these fixes actually take to implement
Most of what is listed above is hours of work, not months. Writing FAQPage entries for your 15 most common patient questions, cleaning up a page title, and fixing a broken H1 are all changes a developer or even a careful non technical person can make on a live page in an afternoon. The MedicalProcedure and Physician schema work takes a bit longer since it needs real, accurate details rather than a template.
if i add faq schema will chatgpt definitely start citing my clinic
No, and I would not trust anyone who promised that. What FAQ schema and clean structure do is make your page genuinely readable and citable, they remove the technical reasons an AI engine would skip your page in favor of a competitor's. Whether you get cited also depends on the quality and honesty of the answer itself, structure gets you into consideration, it does not guarantee the result.