How to appear in ChatGPT and Google AI answers

How to appear in ChatGPT and Google AI: the core shift

Traditional Google search returns links. AI search skips that step. To appear in ChatGPT and Google AI answers, your practice needs to be the source the system draws from — not just a page it can find. When someone asks "who should I see for pelvic floor issues on the Gold Coast", the system synthesises an answer it has already evaluated — your practice is named, or it isn't. There's no page 2.

Google AI Overviews, ChatGPT, and Perplexity each use different retrieval mechanisms but share one requirement: they need to identify what your practice does, where it operates, who delivers care, and why it's credible. If your website doesn't make those things explicit, the system cites whoever does.

What entity optimisation means for your practice

AI systems don't think in keywords — they think in entities. When a model processes your website, it builds a picture of who you are, what you treat, where you're located, and what credentials support your claims. Entity optimisation means making those connections explicit and machine-readable: identical NAP everywhere, services described with precision, practitioners tied to verifiable qualifications. A well-defined entity gets cited. A vague homepage gets skipped.

The entity signals that matter most

• Practice name consistency — identical across your website, Google Business Profile, and every directory
• Service specificity — named, described services, not generic copy
• Practitioner identity — named professionals with qualifications and areas of focus
• Location clarity — suburb and region named explicitly in content and structured data
• Condition coverage — content that answers the questions your patients actually ask

The 5 structural things your website needs

You don't need a redesign. You need five things most practice websites are missing.

1. FAQs written as questions patients actually ask

Not "Do you offer appointments?" — but "How do I know if I need a pelvic floor assessment?" Each answer should be standalone, in plain language, placed on service pages. Question-and-answer format is the closest structural match to how patients query AI.

2. Specific service descriptions

"Physiotherapy for women across all life stages" tells an AI nothing. "Pelvic floor physiotherapy for women experiencing incontinence, prolapse, or pain during intercourse, following childbirth or approaching menopause" tells it a great deal. Name the conditions, name the patient populations.

3. Practitioner authority content

"30 years of combined experience" is not authority content. A profile naming the practitioner, listing their AHPRA registration, detailing postgraduate training, and describing their focus areas — that is. Every practitioner needs a dedicated page linked to their services.

4. Schema markup

Schema tells AI systems exactly what they're reading. Priority types: LocalBusiness, Person, FAQPage, and Service. It doesn't change how your site looks — it changes how machines read it.

5. Consistent NAP across every platform

Name, Address, Phone — identical on your website, Google Business Profile, Healthengine, HotDoc, and every directory. Inconsistency weakens the AI's confidence in your entity. Fix this first.

E-E-A-T: the signal framework behind AI citations

Google's E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — maps directly onto how AI systems evaluate sources. Experience is practitioner-attributed content grounded in clinical observation. Expertise is AHPRA registration and postgraduate credentials, named on your site. Authoritativeness is external recognition: directory listings, association memberships, referral relationships. Trustworthiness covers HTTPS, accurate contact details, a clear privacy policy, and content that doesn't overpromise. Every article, FAQ, and practitioner bio either adds to E-E-A-T or doesn't.

AHPRA-safe content that builds AI authority

AHPRA compliance and AI visibility aren't in tension — the content AI systems reward is what regulators prefer: educational, condition-focused, practitioner-attributed, and free of outcome claims. Condition education pages answer the "what is X" and "how is X managed" queries patients ask most. Practitioner-attributed commentary ("In my experience working with women post-partum...") delivers the expertise signal E-E-A-T rewards. Process content like "What to expect from your first assessment" carries zero compliance risk and gives AI systems something precise to cite.

Where to start

Google Business Profile first — it feeds directly into Google AI Overviews. Accurate category, specific description, current hours, services listed individually. Then audit NAP across your top five directories and fix every variation. Rewrite service pages — one per service, with a specific description, real patient FAQs, and a named practitioner. Add schema: LocalBusiness and FAQPage are the priority. Build full practitioner profiles with qualifications and areas of focus. Publish one condition education piece per month — over a year you build a content body AI draws from repeatedly.

The practices that get cited aren't the biggest — they're the ones that gave AI systems the clearest, most credible picture of who they are and what they do. Our AI search optimisation service builds this content architecture for health practices across Australia.