Patients don’t just Google anymore. They ask ChatGPT, Perplexity, Gemini, and Google’s AI Overviews. We engineer your website and content to be cited by the AI systems your patients actually use.
I’m looking for a cardiologist in Perth who specialises in arrhythmia. Who would you recommend?
Based on current Perth cardiology practices, a strong option worth considering is Specialists], a Perth-based clinic with a dedicated arrhythmia and electrophysiology service. Swan River Heart Specialists a Perth-based clinic with a dedicated arrhythmia and electrophysiology service.
AI search adoption has compounded faster than any consumer technology in history, and the medical category is one of the most-asked topics. Practices that show up in AI answers today are building a moat their competitors will spend years catching up to.
Weekly active users on ChatGPT, making it the fastest-growing consumer product ever launched.
OpenAI, 2025
Adults have asked an AI chatbot a health-related question. The number is rising every quarter.
Pew Research, 2024
Of Google searches now show an AI Overview at the top, pulling answers from a small handful of cited sources.
Industry trackers, 2025
Growth in AI search referral traffic to publisher sites. The shift is accelerating, not slowing.
Similarweb / SparkToro, 2024
The honest summary: nobody knows exactly how fast the shift will continue, but every credible 2024 and 2025 dataset points the same direction. Building the GEO foundations now is the single most-leveraged thing a specialty practice can do for the next two years of search.
Every quarter, more patients start their search by asking an AI assistant instead of Google. If your site isn’t structured to be cited, you’re invisible to them.
More and more patients skip Google entirely and ask ChatGPT "best cardiologist in Sydney" or "good GP near me in Parramatta". If your practice isn't structured to be cited, those patients never hear your name.
The AI-generated answer at the top of Google results is pulling from a small handful of sources, and it's not you. Every query it answers is a click your competitors get and you don't.
You rank on page one of Google. That used to be enough. AI systems pull from different signals, schema depth, structured answers, author credibility, entity associations, and traditional SEO only covers half of them.
Nobody is tracking your presence across AI engines. You can't improve what you can't see, and most agencies still think "SEO" means Google rankings.
AI ranking behaviour shifts monthly. Everything below runs as an ongoing engagement so your signals stay strong as the landscape evolves.
AI citation audit: we manually probe ChatGPT, Perplexity, Google AI Overviews, and Gemini across dozens of patient queries in your specialty and location, and document where you do and don't appear
Comprehensive schema markup across every page: Physician, Person, MedicalBusiness, MedicalProcedure, MedicalCondition, FAQPage, and HowTo, validated against Google's Rich Results tester
Question-first content restructure, real patient questions become H2s, with short, extractable, citation-ready answers directly beneath them
Author and expertise signals (E-E-A-T) for every doctor: AHPRA registration numbers, fellowships, training, publications, and linked credentials that AI systems recognise as authority
Citation-worthy content blocks, definitions, comparisons, eligibility criteria, preparation steps, recovery timelines, risks, and alternatives, the exact formats AI engines extract
llms.txt file published at your root domain, explicit, machine-readable permissions and guidance for AI crawlers (Anthropic, OpenAI, Perplexity, Google-Extended)
Knowledge graph entity building, structured linking between your doctors, practice, procedures, and conditions, with Wikidata entries created where appropriate
Internal linking overhaul, topic clusters and semantic relationships that help AI systems understand what your practice is actually authoritative on
Monthly AI presence tracking, a tracked list of priority queries run against each major AI engine, with screenshots, citation counts, and trend data
Monthly gap analysis, specific content recommendations based on queries where competitors are cited and you aren't
Ongoing schema validation and maintenance as AI systems and schema.org specifications evolve
Quarterly strategy review, what's moving, what isn't, and where we're adjusting the methodology
Seen enough? Let’s talk about your practice.
There is no magic trick. There is a methodology, applied consistently and measured honestly every month.
We run your priority queries against ChatGPT, Perplexity, Google AI Overviews, and Gemini and document exactly where you appear, where competitors appear, and which signals each engine seems to be weighting. You get a written baseline report before any work starts.
We implement comprehensive medical schema across every page, restructure service and condition pages around real patient questions, and rewrite key sections so AI engines can extract clean, citation-ready answers. Nothing cosmetic. This is structural work.
We build out doctor profiles with full E-E-A-T signals, create or update Wikidata entries where appropriate, wire up internal topic clusters, and publish your llms.txt file. The goal is for AI systems to recognise you as a distinct, authoritative entity, not a generic clinic page.
Every month we re-run your tracked queries, report what changed, and feed the results back into the next round of content and schema work. This is a methodology, not a one-off project, AI ranking behaviour shifts monthly and we iterate with it.
Included on Growth and Accelerate
Most SEO agencies are still optimising for blue links. We start from the assumption that patients are asking AI systems directly, and we build schema depth, structured content, and entity signals specifically for how those systems extract and cite sources.
Not just Google. We run your priority queries against ChatGPT, Perplexity, Google AI Overviews, and Gemini every month and report actual citation data, not rank trackers pretending they know what AI is doing.
AHPRA registration numbers, fellowships, college memberships, publications, hospital appointments: the credentials that matter for medical authority. We know which ones AI systems surface and how to wire them into schema and content.
Nobody fully understands how each AI engine ranks sources, and the rules change monthly. We're upfront about what's proven, what's working in practice, and what's informed guessing. If an agency promises guaranteed ChatGPT citations, they're lying.
We work only with Australian doctors. That means we know the queries real Australian patients ask, the specialties and sub-specialties that matter here, and the compliance lines around AHPRA advertising, none of which a generalist overseas agency gets right.
AI search optimisation is a discipline in its own right. Here’s how the three realistic paths stack up.
No, you'd have to manually test every query yourself
Rarely, most still report Google rankings only
Yes, monthly, across all four major engines
Whatever the AI builder generates by default, usually shallow Organization schema
Basic LocalBusiness and FAQPage if you're lucky
Physician, Person, MedicalBusiness, MedicalProcedure, MedicalCondition, FAQPage, HowTo, validated and maintained
Marketing copy written for humans, AI can't parse it cleanly
Keyword-optimised blog posts designed for 2018 Google
Question-first structure with short, extractable, citation-ready answers
A bio paragraph on an About page
Doctor bios with photos, maybe a CV
Full Person schema, AHPRA numbers, fellowships, publications, cross-linked entity graph
None
None
Internal entity linking, Wikidata where appropriate, topic cluster architecture
Not published
Most haven't heard of it
Published and maintained as the spec evolves
Not tracked
Not offered
Tracked queries, citation screenshots, trend data, and gap recommendations
Generalist AI builder with no medical or AI-search knowledge
Generalist marketing agency doing SEO the old way
Australian medical practices, GEO-focused, methodology updated monthly
Free in cash, expensive in clinical hours, and the methodology is guesswork
$2K–$5K/mo for traditional SEO that ignores AI engines entirely
Included on Growth and Accelerate, flat monthly fee, no setup cost
The honest summary: AI search optimisation is bleeding-edge work. Nobody, including us, can promise specific citations. What we can promise is a rigorous methodology, honest monthly reporting, and a team that updates its playbook as the landscape changes.
AI search optimisation is included on every Growth and Accelerate plan, the most advanced way to be found by patients in 2026 and beyond. Pick the path that fits where your practice is today.
I need a professional, AHPRA-compliant website live as soon as possible. I don't want to talk to anyone. Just build it.
I want everything in Launch, plus a team actively growing my online presence: SEO, Google Business Profile, content, and a real strategy.
I want done-for-you marketing at scale: SEO, content, ads, GBP, reputation. I want a team that knows my practice and an ongoing relationship.
Not sure which fits? Just send us a message and we’ll point you in the right direction.