A long decision, made against national brands
AI visibility for fertility
Fertility patients research for months before calling, comparing success rates, cost and doctor. Independent clinics compete for that answer against national networks with far larger footprints.
Proof
Verified, not estimated.
32 → 2,241
AI crawler fetches per month, June to August 2026
A fertility group, Melbourne and Sydney
Read the case study →+528%
Crawler activity, July against August, like for like
A fertility group, Melbourne and Sydney
Read the case study →What patients are asking
The questions that decide who gets booked
These are the shapes of question an AI engine answers by naming two or three practices. Each one is a place you are either in the answer or absent from it.
- IVF success rates by age
- IVF cost out of pocket Australia
- fertility specialist Melbourne
- low AMH treatment options
- bulk billed IVF
- egg freezing cost and process
What makes this sector different
The problems specific to fertility
- 01
National brands dominate the citation set
Ask any engine about IVF in a capital city and the same handful of large networks appear. An independent clinic with better outcomes can be entirely absent, because scale of published footprint, not quality of care, is what the model can see.
- 02
Success rates are the question and the minefield
Patients compare success rates above everything, and the figures are genuinely hard to present honestly because they vary enormously by age and diagnosis. Clinics respond by publishing nothing, which cedes the question to comparison sites.
- 03
The decision is made over months, not sessions
Fertility research runs long and covers dozens of sub-questions, from AMH testing to medication costs to what happens in a cycle. Clinics publish an overview page and miss almost every question the patient actually asks along the way.
Competing on a longer field
Fertility has the longest research cycle in healthcare marketing. A patient may spend six months reading before they book a first consultation, and in that time they will ask dozens of specific questions.
Each of those questions is an opportunity to be the cited source. National networks rarely answer them at the level of specificity a worried patient wants, because their content has to serve every market at once.
What we measure here
Because the booking lag is long, we report leading indicators separately from outcomes. Crawler activity, citation share against a named competitor set, and appearance rate on a fixed panel of queries.
That last one deserves honesty. For one fertility client, AI crawler activity rose 528 per cent from July to August and 103 of 534 recorded answers cited its own site, while the share of answers where it appeared at all moved only from 20 to 27 per cent. We report both halves.
Compliance for this sector
Fertility services are regulated under AHPRA and success-rate claims attract particular scrutiny. Rates must be presented with the population, age bands and measure they refer to. Testimonials are prohibited in advertising. Careful presentation is both the compliant path and the persuasive one.
How we keep every page compliant →Go deeper
The full answer, written for fertility
Answers
Fertility, answered
How can an independent clinic compete with the national IVF brands?
By being specific where they are broad. National networks publish generalised content across every market they serve. An independent clinic can own a named specialist, a particular diagnosis, a city and the sub-questions patients ask along the way. We have taken a clinic from barely present to sixth by citation share in a set including the four largest brands in the country.
Should we publish success rates?
Yes, presented properly, with the age bands and the measure stated. Patients are comparing rates whether or not you participate, and when you do not, engines answer using registry summaries and comparison sites without your context. Publishing them carefully is more persuasive than silence and is the compliant route.
How long does this take in fertility?
Longer than most sectors to convert, because the patient decision cycle itself is months. Visibility signals move on the normal timeline, with crawler activity and citations commonly shifting inside 90 days, but the booking that results from it may be a quarter behind that. We report both so the lag is visible rather than confusing.
What content matters most?
The sub-questions. AMH and what the number means, what a cycle actually involves week by week, what the out-of-pocket really is after rebates, what happens after a failed cycle. These are searched constantly, answered poorly, and they are where an independent clinic can build authority the national brands have not bothered to.
Find out what AI says about your practice
We run your practice against every major AI engine and show you exactly where you stand, and who is being named instead of you. No charge, no lock-in.