Why these three acronyms suddenly matter to your clinic
Somewhere this week, a prospective patient typed a question about the care you provide and got a finished answer instead of a list of links: an AI Overview at the top of Google, or a short recommendation from ChatGPT naming two or three clinics. Either your clinic was in that answer or it was not, and no one rang to tell you which.
That shift is what the acronyms are about. If you have heard SEO, GEO and AEO used in pitches and want to know what they actually mean, what has genuinely changed and what is repackaging, this guide is for you. It is written for clinic owners, consultants in private practice and practice managers, not for marketers, and it ends with a test you can run on your own clinic today.
The 60-second glossary
- SEO (search engine optimisation): the established discipline of earning visibility in conventional search results, the blue links and the map pack, so patients find your clinic when they search.
- AEO (answer engine optimisation): structuring content so it can be lifted out as the direct answer to a question, in featured snippets, voice results and the question boxes on a results page.
- GEO (generative engine optimisation): earning presence inside AI-generated answers, including Google’s AI Overviews and recommendations from assistants such as ChatGPT, Gemini and Perplexity.
- AIO and LLMO: newer labels (artificial intelligence optimisation, large language model optimisation) you may see in proposals. In practice they describe the same work as GEO.
The terms overlap heavily, and some agencies use GEO and AEO interchangeably. Do not worry about policing the vocabulary. Worry about whether the work behind the invoice is real, which is what the rest of this guide covers.
What each one means for a clinic
SEO: being findable when patients search
A patient searches for a dermatologist in your city, or for the treatment you provide. SEO is everything that determines whether your clinic appears: a technically sound website, treatment pages that answer real questions accurately, a complete Google Business Profile, genuine reviews and credible mentions elsewhere. It remains the base layer, because every newer acronym draws on the same materials.
AEO: being the answer, not just a result
Many patient questions have a direct answer: what a procedure involves, how long recovery takes, whether a symptom needs urgent attention. AEO is the craft of answering those questions so clearly, in a heading-and-answer format, that search engines lift your words into the answer box. For a clinic this is mostly a writing and structure discipline applied to the content you already need.
GEO: being recommended by the machines patients now ask
When someone asks an assistant to recommend a private clinic, the assistant composes an answer from what it has learned and what it can look up: your website, your reviews, directories, press coverage and how consistently your clinic is described across all of them. GEO is the work of making your clinic easy for those systems to find, verify and safely recommend. It is the newest of the three and the one attracting the most noise.
How AI answers are actually built
Understanding one piece of mechanics makes every sales pitch easier to judge. AI assistants draw on two things: what they learned during training, a vast snapshot of the public web, and what they retrieve live when you ask, which increasingly means running a search behind the scenes and reading the results before answering.
Both routes favour the same clinic. Training data rewards being mentioned, accurately and often, across independent sources over time. Live retrieval rewards the things good SEO always rewarded: pages that answer the question directly, structured data that confirms who you are, and reviews that corroborate the claim. This is why a clinic named consistently everywhere, with clear treatment pages and a healthy review profile, keeps appearing in AI answers, while a clinic with three name variants and a brochure website does not.
For a clinic, the practical input list is short and concrete: your website and its treatment pages, your Google Business Profile, your reviews and your responses to them, the directories and profiles that describe you (from Doctify and professional registers to hospital consultant pages), press and expert commentary, and community discussion. That last one is not a throwaway: on the exact search this article targets, a Reddit thread holds the top organic position, which tells you precisely how much weight the systems now give to what real people say in public.
One detail with outsized consequences: most AI crawlers read the raw page and do not run the code that assembles some modern websites. If your treatment content only appears after scripts load, an assistant may see far less of your site than a patient does. It is a fixable technical issue, and worth asking your developer about by name.
Is this all just SEO with a new name?
You will meet two camps. One sells GEO as a revolution requiring a new retainer. The other, including some of the most respected voices in search, argues the whole category is SEO renamed. Both are partly right, and a clinic owner deserves the reconciled version.
The foundations are identical: accurate content, technical health, verifiable identity, genuine authority. If someone proposes a GEO programme to a clinic whose website is slow, thin and inconsistent, they are selling the roof before the walls. In that sense, the sceptics win.
But the emphasis genuinely shifts in a few practical ways. Mentions of your clinic now matter even when nobody links to you, because language models learn from text, not just links. The format of your pages matters more, because extractable question-and-answer structure is what gets quoted. Sources search engines partly discounted, community discussion and reviews among them, feed AI answers directly. And measurement changes: alongside rankings, you now track whether and how the assistants mention you. Same discipline, new front line. A clinic does not need three strategies. It needs one strategy executed by people who understand where the front line has moved.
What changes for your clinic in practice
Patient behaviour is the part you cannot opt out of. A growing share of searches now ends without a click, because the answer appeared above the results. That does not make visibility pointless; it raises the stakes on which names appear inside the answer itself.
A worked example
Imagine a patient in London considering a private ADHD assessment. In classic search, she scans ten links and a map pack, opens three clinic websites and forms her own shortlist. With an AI Overview, she first reads a synthesised summary of what assessment involves, with a handful of cited sources; the clinics cited have already won something. If she asks ChatGPT instead and says ‘which private clinics in London should I consider’, she may receive three named clinics with one-line justifications drawn from reviews, directories and press mentions. Three different journeys, one common thread: the clinics that appear are the ones the systems could find, verify and describe confidently.
Notice what the clinic controlled in each journey. The website and its structure fed all three. The Business Profile and reviews decided the map pack and shaped the assistant’s one-line justification. The directory entries and press mentions gave the AI its corroboration. None of it was luck, and none of it required a secret technique; it was ordinary visibility work, done consistently, showing up in a new place.
The local dimension
For clinics, most valuable questions are local, and the assistants know it. Ask for a recommendation and they lean heavily on the same signals that drive the map pack: your Google Business Profile, review volume and sentiment, and consistency between your listed details and your website. If you have invested in local SEO, you have already been doing early GEO without the invoice saying so.
What AI answers get wrong, and who is responsible
AI answers are confident and occasionally wrong. For clinics we have seen them quote superseded prices, attribute treatments a clinic does not offer, confuse providers with similar names, and describe a service in terms a regulator would frown at. The systems improve, but a clinic owner should assume errors will occur and plan for them.
A note on reviews and confidentiality
Because assistants quote the gist of your reviews, review responses become part of your public record in a new way. Respond professionally and promptly, but remember that confidentiality still applies: never confirm someone was a patient or discuss their care in a reply, however unfair the review feels. A calm, compliant response pattern reads well to humans and machines alike, and it is one more reason review handling belongs inside your marketing governance rather than at the front desk’s discretion.
On responsibility, the position is straightforward in one direction: everything you publish remains yours under the CAP Code and your professional guidance, and accurate, well-evidenced source material is also your best protection against being misquoted, because the assistants are summarising what they find. You cannot edit ChatGPT. You can make sure that what it reads about you (your site, your profiles, your directory entries, your review responses) is accurate, current and consistent, and you can monitor what comes out the other end. Which brings us to the test.
Check what AI says about your clinic this afternoon
No page ranking for this topic tells you how to do the single most useful thing: look. Here is the five-prompt test we run for clinics, simplified for self-service. Run each prompt in Google (note the AI Overview if one appears), then in ChatGPT and one other assistant such as Perplexity or Gemini.
- Best [your specialty] clinic in [your town or city].
- Who is the best private [your specialty] consultant near [your area]?
- Is [your clinic name] good? What do reviews say?
- How much does [your main treatment] cost in [your city], and where should I go?
- I have [a symptom your patients typically present with]. Which private clinics in [your city] should I consider?
Record four things for each: whether your clinic is named, which competitors are, what is actually said about you, and whether it is accurate. Repeat monthly, because the answers move. If you are absent from all five while competitors appear, you have found the gap. If you are present but described inaccurately, you have found the priority. A simple spreadsheet with one row per prompt and one column per month is all the tooling this needs.
What actually improves AI visibility
The work is unglamorous and checkable, which is how you will know it is real.
- One name, everywhere. Your clinic’s name, address and description should match across your website, Google Business Profile, directories and social profiles. Inconsistency reads as uncertainty to a system deciding whether to recommend you.
- Structured data that says who you are. Organisation, medical business and FAQ schema give the machines a verified identity card. Most clinic websites carry little or none.
- Pages that answer whole questions. Question-shaped headings with direct, accurate answers underneath are what Overviews and assistants lift. Your treatment and pricing pages should read that way.
- Reviews and review responses. Assistants read them and quote their gist. Volume, recency and professional responses all feed how you are described.
- Independent mentions. Directory listings, press commentary and citations in articles teach the systems your clinic exists and matters, with or without a link.
- Content the crawlers can actually see. Have your developer confirm the site’s substance is readable without scripts running.
Every item on that list also strengthens conventional SEO, which is the point. Done properly, this is one programme with two scoreboards. Sequenced sensibly it fits a 90-day frame: naming, schema and profile clean-up in the first month, the priority treatment pages rewritten into question-led form in the second, and citation building plus the first monthly prompt audit in the third. None of it requires a revolution. All of it requires someone actually doing it.
Where should the budget go?
For almost every clinic the sequencing is the same. First, the SEO foundations, because nothing else works without them and they remain where most bookings originate today. Second, the extractable content layer, question-led treatment pages and FAQs, which serves conventional and AI search at once. Third, deliberate AI-visibility work: entity clean-up, citation building and monthly monitoring, weighted higher if you compete in a crowded specialty or a big city, where assistant recommendations concentrate on a shortlist and being off it costs most. A dermatology clinic in central London and a physiotherapy practice in a market town should not buy the same weighting of this work, and a proposal that prices them identically has not thought about either.
What you should not do is buy the same work twice under two acronyms. If a proposal lists GEO as a separate line item, ask precisely which activities it contains that the SEO retainer does not. There is a legitimate answer to that question. There is also a version where the answer is a shrug, and the invoice is the only thing that is new.
The hype filter: what nobody can promise
Because the field is young, it is attracting the same promises that gave SEO a bad name fifteen years ago. Hold any offer to these standards.
- Nobody can guarantee your clinic a place in ChatGPT’s recommendations or Google’s AI Overviews. Answers vary by prompt, day and user. A guarantee is a red flag, not a differentiator.
- There is no secret submission process or paid inclusion into AI answers. Anyone implying privileged access is describing something that does not exist.
- Credible providers show a testing method: the prompts they track, how often, and how your share of answers changes over time, alongside the citations and fixes they shipped to move it.
- Ask the same questions you would ask of any healthcare marketing partner: who does the work, what exactly is delivered monthly, and how it connects to enquiries and booked appointments rather than screenshots of a chatbot.
Work with Pulse Digital Health
Pulse Digital Health is a healthcare-only digital marketing agency working with private clinics, consultants and healthcare brands across the UK. AI visibility is part of how we work, not a separate acronym on the invoice: we run monthly prompt audits for our clients, build the entity, content and citation foundations described in this guide, and report in the numbers that matter, enquiries, booked appointments and cost per new patient.
If you are looking for a trusted partner in healthcare, we would be glad to talk. Book a free discovery call and we will run the five-prompt test on your clinic, show you where you stand against your competitors in both conventional and AI search, and tell you honestly what is worth doing about it.
References
- Google Search Central, AI features and your website
- Google Search Central, Creating helpful, reliable, people-first content
- Schema.org, Getting started with structured data
- CAP Code, Section 12: Medicines, medical devices, health-related products and beauty products
- General Medical Council, Good medical practice
Frequently asked questions
1. What is the difference between SEO, GEO and AEO?
SEO earns visibility in conventional search results. AEO structures content to be lifted out as the direct answer to a question. GEO earns presence inside AI-generated answers such as Google's AI Overviews and ChatGPT recommendations. They share the same foundations and differ in emphasis and where the result appears.
2. Is GEO the same as AEO?
They overlap heavily and some agencies use the terms interchangeably. Strictly, AEO targets answer boxes and featured snippets in search, while GEO targets AI-composed answers in tools like ChatGPT and AI Overviews. For a clinic, the underlying work is largely the same.
3. Do clinics still need SEO if patients use ChatGPT?
Yes. AI assistants build their answers from the same materials SEO develops: accurate pages, verified identity, reviews and independent mentions. Conventional search also still drives the majority of patient enquiries. SEO is the base layer; AI visibility is built on top of it.
4. What are AIO and LLMO?
Newer labels for the same territory: artificial intelligence optimisation and large language model optimisation. In proposals they almost always describe the work this guide calls GEO. Judge the activities listed, not the acronym.
5. How do I see what ChatGPT says about my clinic?
Ask it the questions your patients ask: best clinic for your specialty in your city, whether your clinic is good, where a treatment costs what. Record whether you are named, what is said and whether it is accurate, check Google's AI Overview and one other assistant for the same prompts, and repeat monthly.
6. Can you pay to appear in AI answers?
No. There is no paid inclusion or submission route into ChatGPT's recommendations or Google's AI Overviews. Presence is earned through verifiable identity, useful content, reviews and independent mentions. Treat any promise of guaranteed placement as a warning sign.
7. Does schema markup help AI visibility?
Yes. Structured data such as organisation, medical business and FAQ schema gives search engines and AI systems a machine-readable statement of who you are, what you do and where, which supports both rich results and confident AI citations.
8. How long does GEO take to show results?
Entity and structured-data fixes can be reflected within weeks, while building the independent mentions and review depth that drive assistant recommendations typically takes months, similar to SEO. Monthly prompt tracking is how you see the movement.
9. Is SEO dead now AI answers questions directly?
No. AI has changed where answers appear, not what earns them. The clinics being recommended by assistants are, almost without exception, the clinics that built strong search foundations. The channel evolved; the discipline transferred.
10. What should a clinic do first?
Run the five-prompt test to see where you stand, fix naming consistency and structured data, and make your key treatment pages answer whole questions directly. Those three steps improve conventional and AI visibility at the same time.
