Patients now ask ChatGPT, Gemini and Perplexity for the 'best IVF clinic in Dubai' or 'top knee surgeon in Mumbai'. AI Search Optimization (AEO/GEO) makes AI assistants find, trust and cite your practice — entity building, deep structured data, citable content and monthly AI citation tracking. The next SEO advantage, while it's still early.
Consistent, structured facts about your doctors and clinic across every source AI models read.
Stat-rich, quotable content structured the way LLMs retrieve, summarise and cite.
We ask the AIs your patients' questions every month and report exactly where you appear.
A new referral channel is forming in ChatGPT, Gemini and Perplexity, and most clinics are invisible in it. The numbers below show the shift — and the window.
Entity, structure, content, presence, index health and measurement — each pillar feeds how AI systems find and cite you.
AI models recommend entities they recognise and trust. We build yours: consistent doctor and clinic facts (names, credentials, specialties, locations) across your site, Google, Bing, Wikidata-grade sources and every profile the models read — so 'Dr. Mehta, IVF, Dubai' resolves to you, unambiguously.
Beyond basic schema: Physician, MedicalClinic, MedicalProcedure, FAQPage and MedicalWebPage markup with full property depth — plus llms.txt and clean, crawlable content structure so retrieval systems can parse, chunk and quote your pages accurately.
LLMs cite sources that answer questions directly with specific, attributable facts. We produce content engineered for citation: direct answers high on the page, original statistics, named expertise, dates and clear sourcing — the properties AI retrieval consistently favours.
AI answers are assembled from sources models trust: directories, review platforms, press, professional listings. We secure and optimise your presence across the retrieval layer — Practo to Google to health press — so you appear in the documents the answer is built from.
ChatGPT search runs on Bing's index — a site invisible to Bing is invisible to ChatGPT. We fix Bing Webmaster health, indexation and rankings, and optimise for Google AI Overviews: featured-snippet-grade answers, passage structure and the query patterns Overviews trigger on.
You can't manage what you don't measure. Every month we run your patients' real questions through ChatGPT, Gemini, Perplexity and AI Overviews, record where you're cited, in what position, with what facts — and report movement alongside AI referral traffic in GA4.
The same discipline SEO demanded — applied to a channel where your competitors haven't shown up yet.
We ask the AIs what your patients ask — 27+ real queries across ChatGPT, Gemini, Perplexity and AI Overviews — and record who gets cited and why. Plus an entity, schema and Bing-health teardown. You see exactly where you stand before we touch anything. Weeks 1–2.
Entity consistency across every source, deep schema deployment, llms.txt, AI-crawler access, Bing indexation repair and retrieval-friendly restructuring of your key pages. The technical substrate AI systems need in order to trust and quote you. Weeks 3–6.
Monthly production of question-first, stat-rich content mapped to the queries patients actually ask AI — procedure explainers, cost guides, comparison pages — plus directory and press placements in the sources models retrieve from. Ongoing.
Monthly citation runs show which queries you now win, which engines cite you and how AI referral traffic converts. Each report drives the next month's targets — coverage compounds the way rankings once did, but with fewer competitors trying.
The operational gap between clinics AI assistants recommend and clinics they've never heard of.
Citation logs, referral traffic and 'ChatGPT sent me' enquiries — the channel is measurable, and here's what it looks like.
A Dubai fertility clinic ranked well on Google but was invisible to every AI assistant — ChatGPT recommended three competitors by name. We rebuilt their entity graph across DHA listings, directories and press, deployed deep MedicalClinic and Physician schema, published success-rate and cost-guide content with citable statistics, and repaired a Bing indexation failure. By month five, ChatGPT, Perplexity and Gemini all named the clinic — and AI-referred consultations became a tracked line in their CRM.
"Patients started saying 'ChatGPT recommended you' in consultations. That sentence didn't exist in our clinic a year ago. Now we hear it weekly."— Medical Director, Fertility Clinic, Dubai
A high-volume Mumbai knee surgeon had strong rankings but was losing clicks to AI Overviews answering above him. We restructured his procedure pages question-first, published original data — recovery timelines, surgery counts, cost ranges — and tuned passage structure to Overview trigger queries. His pages became the quoted source instead of the bypassed link. The same content made him ChatGPT's first named recommendation for six tracked queries, and conversions rose because AI-referred patients arrived pre-sold.
"The patients who come via ChatGPT arrive already trusting us — the AI essentially did the first consultation. They convert at nearly double our normal rate."— Dr. Vikram Sane, Orthopaedic Surgeon, Mumbai
A three-clinic Singapore dental group asked us to future-proof their patient acquisition. Their market was perfect for AEO: affluent, English-speaking patients who adopted AI assistants early. We built the full stack — entity work, llms.txt, citable pricing and treatment guides, Bing health, monthly tracking — before any local competitor moved. Within six months they dominated AI answers for implant and aligner queries citywide, and their enquiry forms' 'how did you hear about us' field told the story: 18% now mention ChatGPT or Perplexity.
"Our competitors are still A/B testing Google ads against each other. Meanwhile we quietly own the channel they haven't noticed exists yet."— Group Director, Dental Group, Singapore
AI visibility measured with the same rigour as rankings — citations, accuracy, traffic and converted enquiries.
From the first four-engine audit to monthly citation logs — the complete deliverable list.
High-consideration specialties where patients ask AI comparison questions — and shortlists are short.
Every service page uses the same Foundation, Growth and Scale retainers. Pick the level of execution once; the service mix is scoped during your audit.
Best for: Solo practitioners and small single-specialty clinics
Best for: Established clinics wanting consistent patient acquisition
Best for: Hospitals, diagnostic chains, multi-location clinic groups
What early-moving practices say once the tracking reports and the enquiry forms start agreeing.
"'ChatGPT recommended you' is now a sentence we hear in consultations every week. There is no clearer proof that this channel is real — and that almost no clinic is competing for it yet."
"I was sceptical — it sounded like SEO with a new hat. Then the monthly reports started showing exactly which questions cite me, on which engines, and the enquiry forms confirmed it. It's measurable, and it's growing."
"The early-mover argument convinced us and it proved right: we built the moat in six months, and competitors now face an incumbent in every AI answer for our procedures citywide."
Don't see your question? Drop it on the visibility check form below — we reply inside 24 hours.
Ask on the audit callAI Search Optimization — also called Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) — is the practice of making AI assistants like ChatGPT, Gemini, Perplexity and Google's AI Overviews find, trust and cite your practice when patients ask them health and provider questions. Our monthly programme includes: an AI visibility audit that runs 27+ real patient queries across four engines and records exactly who gets cited; medical entity building (making your doctors and clinic unambiguous, consistent facts across your site, Google, Bing, directories and press); deep structured data — Physician, MedicalClinic, MedicalProcedure and FAQPage schema at full property depth, plus llms.txt and AI-crawler access tuning; citable content production (on the Content plan) — question-first, stat-rich pages engineered for quotation; presence-building in the directories and publications AI retrieval actually draws from; a Bing index health programme, because ChatGPT search runs on Bing; AI Overview passage optimisation; and monthly citation tracking with a report showing which queries you win, on which engines, at what position, alongside AI referral traffic in GA4.
It's an extension, not a replacement — and the honest framing matters. Classic SEO earns you a ranked position in a list of links; AEO earns you a named citation inside a synthesized answer. The overlap is real: good technical SEO, authoritative content and E-E-A-T signals help both, and nothing we do undermines your existing rankings — most of it strengthens them. But the differences are substantial. First, retrieval: ChatGPT search is built on Bing's index, which most Indian clinics have ignored entirely — classic SEO agencies rarely touch Bing Webmaster Tools. Second, the unit of competition: an AI answer names one to three providers, not ten links, so the entity-level trust signals (consistent facts, credentials, third-party corroboration) matter far more than page-level keyword targeting. Third, content shape: LLMs favour direct answers, original statistics and quotable, well-attributed passages — different from the long-form keyword coverage classic SEO rewards. Fourth, measurement: rankings don't capture whether Gemini cites you; that requires the systematic query-sampling we run monthly. If you have an SEO agency, we coexist cleanly — we've integrated alongside several — and if you use our SEO service, the two programmes share infrastructure and cost less together.
Yes, and measurement discipline is what separates this from hype. Each month we run a fixed panel of 27+ queries — built from how your patients actually phrase questions: 'best IVF clinic in Dubai', 'knee replacement cost Mumbai', 'is Dr. X good for Y' — through ChatGPT (with search), Google Gemini, Perplexity and Google AI Overviews, using clean sessions to avoid personalisation bias. For every query we log: whether you're cited, your position among named providers, which facts the AI states about you (and whether they're accurate — catching AI-repeated errors about your credentials or locations is itself valuable), which competitors appear, and which sources the answer links. Because LLM outputs vary, we run multiple samples per query and report citation frequency, not single anecdotes. Alongside this, we segment AI referral traffic in GA4 (chatgpt.com, perplexity.ai, gemini referrers) and — most convincingly — add 'AI assistant (ChatGPT etc.)' to your enquiry forms' 'how did you hear about us' field. Our Singapore dental client sees 18% of enquiries select it. You get all three layers in one monthly report: citations, traffic, and enquiries.
Expect a realistic arc, because we won't promise overnight citations. Months one and two are foundations: the audit, entity cleanup, schema deployment, llms.txt, Bing indexation repair and page restructuring — during which the visible change is infrastructural, not citations. First citation movement typically appears in months three to five: Perplexity and ChatGPT search respond fastest because they retrieve live web results, so improved Bing health and citable content shows up there first. Google AI Overviews follow as your passages earn snippet-grade status. By month six, clients who execute consistently typically hold citations on a meaningful share of their tracked queries — our Dubai fertility client reached 9 of 12 'best clinic' variants in five months. Deeper entity effects — being recommended in pure model knowledge without live search — build over longer horizons as models retrain on a web that now describes you consistently. Two honesty notes: competitive metro queries take longer than specific procedure-plus-locality queries, and results compound with the content plan because every citable asset is another retrieval target. This is a 6–12 month programme, exactly like SEO was — with far fewer competitors doing it.
Two standard monthly plans plus enterprise. AI Visibility at ₹25,000/month covers the full technical and entity programme: audit, entity building, deep schema, llms.txt, Bing health, directory optimisation and monthly citation tracking with reporting — the right plan if you already have content capability in-house or through our SEO service. AI Visibility + Content at ₹40,000/month adds four citable, stat-rich content assets per month, AI Overview passage optimisation, digital PR into AI-cited sources and competitor coverage tracking — the plan most clients choose, because content is what engines ultimately quote. Enterprise is custom-quoted for hospitals, multi-location groups and medical tourism providers needing multilingual visibility and query tracking at scale. Billing is monthly in advance with a three-month initial commitment — shorter than typical SEO contracts, but honest about the minimum window in which citations can move — and month-to-month after that; every deliverable, from schema to content, remains yours if you leave. There are no ad budgets or mandatory tool costs on top. If you're also on our SEO or Website Management retainers, bundled pricing applies since the programmes share audits and infrastructure.
Completely different jobs. Website Management is operational care for your website as an asset: security patches, uptime monitoring, speed maintenance, content updates and monthly reporting — it keeps the site fast, safe and current, and it's platform-level work on your own domain. AI Search Optimization is a visibility programme aimed at an external battlefield: how AI assistants across the internet perceive, retrieve and recommend your practice. Much of AEO work happens beyond your website entirely — directory ecosystems, press placements, Bing's index, entity corroboration across third-party sources — and the measurement (citation tracking across four AI engines) has no overlap with website management metrics. They do connect at one point: AEO needs a technically healthy, fast, schema-capable website as its substrate, which is exactly what Management maintains — so the two retainers together are genuinely synergistic, and we discount the bundle. But neither substitutes for the other: a perfectly managed website can be invisible to ChatGPT, and a heavily cited clinic with a decaying website will squander the traffic citations send. If budget forces a choice, we'll tell you honestly which gap is costing you more — that answer differs by practice, and the free AI visibility check plus site audit reveals it quickly.
The evidence says yes, and it's compounding. Surveys consistently show a majority of consumers now use or are open to using AI chatbots for health information — Deloitte's health consumer research puts openness around 70%, and usage skews toward exactly the high-value journeys clinics care about: researching procedures, comparing treatment options, understanding costs and, increasingly, asking for provider recommendations. Our own data is more concrete: across our healthcare client base, referral traffic from chatgpt.com, perplexity.ai and gemini grew roughly 4× year-on-year, and clients who ask 'how did you hear about us' now record 5–18% of new enquiries mentioning an AI assistant. Two qualitative patterns make the channel unusually valuable. First, AI-referred patients arrive pre-sold — the assistant has already summarised your credentials and answered their objections — and convert at up to twice the rate of cold search visitors in our tracking. Second, the recommendation format is winner-take-most: an AI names one to three providers, not ten links, so being cited is closer to being referred than being ranked. The channel is smaller than Google today; it is growing faster than any acquisition channel we've measured since early social.
llms.txt is an emerging convention — a structured file at your domain root that gives AI systems a clean, curated summary of your site: who you are, your key pages, your doctors and services, in a format language models parse reliably. Think of it as robots.txt's constructive sibling: instead of only saying what crawlers may access, it tells AI systems what matters and where the authoritative facts live. We author and maintain yours as facts change. Beyond that, the technical work includes: deploying deep medical schema (Physician, MedicalClinic, MedicalProcedure, FAQPage, MedicalWebPage) with full property coverage rather than the name-address-phone minimum most sites carry; verifying AI crawler access in robots.txt (GPTBot, PerplexityBot, Google-Extended — a deliberate policy decision we make with you, since blocking them blocks citations); restructuring key pages retrieval-first — direct answers in the opening passage, clear heading hierarchies, self-contained quotable sections, visible authorship and dated medical review; fixing Bing indexation, sitemaps and Webmaster Tools health; and tightening canonical structure so engines quote the right version of every page. None of it degrades your Google SEO — nearly all of it strengthens it, because retrieval-friendly structure and E-E-A-T signals are ranking assets too.
Yes — and international markets are arguably where AEO matters most right now, because AI assistant adoption is highest in exactly the markets our international clients serve. We run programmes for fertility and aesthetics clinics in Dubai and Abu Dhabi, dental and specialist groups in Singapore, providers in Manila and London, and US practices — plus Indian hospitals targeting international medical tourism patients, who disproportionately begin their research by asking an AI assistant to compare countries, cities and clinics. The methodology localises cleanly: query panels are built in the phrasing and language of your patient base (including Arabic query tracking for Gulf clients), entity work targets the directories and review platforms AI retrieval trusts in your market (DHA and DoctorUna in the UAE, Doctify in the UK, Healthgrades in the US), and press placement targets your region's cited publications. Medical tourism providers get dual-market panels — 'best hospital for knee replacement in India' asked the way a patient in Lagos, Dubai or London would ask it. International clients are quoted and billed in USD, AED, GBP or SGD at prevailing equivalents of our ₹ pricing, with the same three-month initial term and monthly reporting cadence adapted to your timezone.
The specialties winning first share two traits: high-consideration decisions patients research heavily, and comparison-style questions AI answers well. Fertility and IVF lead — 'best IVF clinic in [city]' and success-rate questions are asked constantly, and answers name specific clinics. Orthopaedics, dental implants, cosmetic surgery, LASIK, hair transplant and bariatrics follow the same pattern: procedure-plus-cost-plus-city queries with shortlist-style answers. Oncology and cardiology see slightly different behaviour — more second-opinion and treatment-comparison research — where being the cited explainer builds the trust that precedes the appointment. Medical tourism is the standout: cross-border patients ask AI to do exactly the comparison AEO wins. On the early-mover question, we'd state it carefully: the advantage is real, but it isn't magic — it's the same advantage early SEO adopters had in 2010, arriving on a faster curve. Today, most clinic queries we sample return citations built from thin directory data because almost no provider has done the work; the first clinic in a market to build entity depth and citable content tends to capture a disproportionate citation share and then benefits from incumbency, as models keep retrieving and retraining on the sources already describing it. That window narrows as adoption spreads — our estimate is 12–18 months in most Indian and Gulf metros. The free AI visibility check will show you, query by query, whether your market is still open.
30 minutes. We'll tear down your Google presence, paid funnels, website and reviews — and send you a written action plan. Yours, free.