How LASIK practices get recommended by ChatGPT

What is the patient-question moment for LASIK?

LASIK patients do not ask ChatGPT one casual question. They arrive anxious and ask in sequence: is LASIK safe, am I a candidate, what are the risks of dry eye, and how does LASIK compare to PRK or SMILE. Safety and candidacy questions dominate because the decision is permanent and the patient is afraid of getting it wrong.

ChatGPT runs a live web search on each phrasing and reads the pages it finds before writing a short answer. It then names two or three practices it can stand behind and drops the rest. A practice is named only when its content answers that exact question and ChatGPT can verify the surgeons from sources it trusts.

What content makes a practice quotable per question?

ChatGPT quotes pages that answer one patient question at a time. The questions are predictable: candidacy criteria, procedure comparisons like LASIK vs PRK vs SMILE, recovery timelines, dry-eye risk, and how to choose a surgeon. A page that answers each question directly gives ChatGPT a clean sentence to quote.

Candidacy is the question to answer plainly. Patients want to know if their prescription, corneal thickness, or dry-eye history rules them out, and a page that states real candidacy criteria is highly quotable. Pair it with honest procedure comparisons, because patients told they are not LASIK candidates often ask about PRK or SMILE next.

How does ChatGPT corroborate a LASIK surgeon?

ChatGPT favors surgeons it can verify, so credentials and volume must be corroborated beyond the practice's own site. Board certification in ophthalmology, fellowship training in refractive surgery, and the number of procedures a surgeon has performed are the signals a frightened patient cares about, and the signals ChatGPT looks to confirm.

Reviews and listings on independent platforms let ChatGPT confirm the surgeon is real and reputable. When professional directories, hospital or society pages, and patient reviews agree about the surgeon's name, specialty, and certification, ChatGPT can name the practice with confidence instead of skipping it.

Can ChatGPT even read the practice website?

Crawlability is the precondition everything else depends on. Many refractive practice sites bury candidacy criteria and recovery timelines in images, slideshows, or scripts ChatGPT cannot read. If the dry-eye guidance and the LASIK-versus-PRK comparison live only inside a graphic, ChatGPT has nothing to extract.

Put the answers in real, crawlable text. Candidacy criteria, procedure comparisons, recovery timelines, and surgeon bios should be plain HTML an assistant can parse, not locked in a PDF or a JavaScript carousel. A site ChatGPT cannot crawl cannot be quoted, no matter how skilled the surgeons.

How do you know if it is working?

Measure monthly with the patient's real questions. Ask ChatGPT the safety, candidacy, and comparison questions your patients ask, record whether your practice is named and which sources are cited, and repeat the same questions every month. The change in citations is the only honest measure of whether the work is moving.

ChatGPT searches through Bing's index, so a practice can be named by ChatGPT and absent from Gemini, which leans on Google. Run the same questions across several engines so the measurement reflects every assistant a patient might use, not just one.

Before optimizing anything, Tenva ran this identical measurement on itself and appeared in 0 of 95 AI answers across two June 2026 probes, publishing the count as the before of a public experiment. A LASIK practice answers the candidacy question to win the citation a nervous patient reads.