AI Search Visibility

Not yet, but it’s changing how people search. Google now shows AI-generated answers for many health questions, and a growing number of people ask AI tools directly, sometimes before they ever visit a practice website.

Most practices still win most patients from regular search and maps, so we build AI visibility on top of strong SEO rather than instead of it. When someone searches for a GP, dentist or specialist nearby, the map results and your Google Business Profile still do much of the work. AI tools also lean on the same things that support good SEO: accurate websites, consistent listings and clear, trustworthy content.

In practice, that means you don’t have to choose between the two. Getting your foundations right helps you in regular search today and gives AI tools better material to draw on. We keep an eye on how search behaviour is changing and adjust the balance of your plan as it does, without chasing every new trend.

Not directly, but you can influence it. AI tools draw on information they can find and trust, so making sure your own website and listings are clear, accurate and consistent is the most effective thing you can do.

That means your practice name, address, phone number, hours, practitioners and services should match everywhere they appear: your website, Google Business Profile, health directories and social accounts. Conflicting details give AI tools mixed signals and can lead to vague or wrong answers. Clear service pages and practitioner profiles also give them accurate material to describe you with, in your own words.

We also monitor for inaccurate descriptions so you can address them. If an AI tool gets something wrong, such as an old address, a service you no longer offer or a practitioner who has left, the fix usually starts with correcting the source it is drawing on. Some tools offer feedback options, which can help, though nobody can force a change. We’ll tell you what we find and what we recommend.

It builds on SEO. Many of the foundations are the same, such as technical health, quality content and consistent listings. If your website is slow, hard to crawl or thin on information, it is unlikely to do well in either regular search or AI answers.

AI visibility adds a focus on structured data, how answers are phrased and how AI tools describe you, plus testing to see what they actually say. Structured data helps machines understand facts about your practice, such as who your practitioners are and where you are located. Phrasing matters because AI tools tend to draw on clear, direct answers to specific questions. Testing matters because, unlike rankings, AI answers don’t appear in a standard report, so we have to ask the tools ourselves.

For most practices, the sensible approach is to treat AI visibility as an extension of good SEO rather than a separate project. We’ll look at where you stand on both and recommend where to start.

We regularly ask major AI tools a set of questions relevant to your practice and track whether you’re mentioned, how you’re described and which sources they cite. We also track visits that come to your website from AI tools.

The questions are agreed with you and reflect what real patients might ask, such as which practices offer a particular service in your area or what to expect from a type of appointment. Repeating the same set over time shows whether your visibility is changing, whether descriptions are accurate and which websites or directories the tools rely on. That last point is useful, because it tells us which sources are worth correcting or strengthening.

AI answers can vary between questions and between users, so we look at patterns rather than any single response. Visits from AI tools appear in your analytics, though not every visit can be attributed. Results are reported alongside your regular search performance, with plain notes on what has changed and what we plan to do next.

We check the main ones patients use, including ChatGPT, Google’s AI Overviews and similar assistants. The list changes and we keep it current, because new tools appear, existing ones change how they work and patient habits shift over time.

Google’s AI Overviews matter for most practices because they appear directly in search results, where many patients already start. Standalone assistants like ChatGPT are increasingly used for practical health questions, such as finding a local practitioner or understanding what a service involves. We focus on the tools most relevant to your patients rather than trying to track every product on the market.

We’ll confirm which tools are included in your monitoring when we agree your plan, and let you know when we add or drop one. If you’ve noticed a particular tool mentioning your practice, or patients tell you they found you through one, let us know and we’ll make sure it’s covered. The aim is a practical picture of how AI tools are describing your practice.

No. AI tools decide what to say and nobody controls that. Anyone who promises your practice will be recommended by ChatGPT, Google’s AI Overviews or any other tool is promising something they can’t deliver.

We can make your information accurate, consistent and easy to use, which improves your chances. That includes clear service pages and practitioner profiles, consistent details across your website, listings and directories, structured data that helps machines understand your practice, and plain answers to the questions patients actually ask. These are the same qualities that help in regular search, so the work stays useful however AI tools change.

There is a compliance reason for caution too. Health advertising can’t create unreasonable expectations, and we hold our own promises to the same standard. We’ll be clear about what we’re doing, how we measure it and what we’re seeing, including when results are mixed. You’ll always know where things stand, rather than being sold a guarantee nobody can keep.

Often only a little. Clear structure, complete service pages and consistent details across the web matter most, and we tell you what to change in the audit. Many practices already have most of what they need and simply need it organised and filled in.

Typical changes include making sure each service has its own clear page, adding or updating practitioner profiles with their qualifications and areas of practice, answering common patient questions in plain language, and checking that contact details and hours match your listings. Technical items, such as adding structured data or fixing pages that are hard for search engines to read, happen behind the scenes and don’t change how the site looks.

The audit sets out what we found and the recommended changes in order of priority, so you can see what matters most and why. If your website needs bigger work, such as a rebuild, we’ll say so honestly and explain the reasons. Otherwise, we’ll focus on the changes most likely to make a difference.

It is a simple file some sites publish for AI tools, usually setting out a short summary of the site and links to its key pages. It is optional and its value is unproven, so we treat it as a minor extra, not a priority.

The idea is that an llms.txt file could make it easier for AI tools to understand what a website offers. In practice, there is little clear evidence that the major AI tools rely on it, and they already read ordinary web pages. That means a well-organised website with clear service pages, accurate practitioner profiles and consistent listings is likely to matter far more than any single file.

If your foundations are in good shape, adding an llms.txt file is quick and low-risk, so we may suggest it as a small finishing touch. We won’t recommend spending meaningful time or budget on it ahead of the things that are known to help. If the evidence changes, we’ll update our advice and tell you.

Service pages, practitioner profiles, FAQs and location pages matter most, written clearly and accurately so they are easy for AI tools to understand and quote. These are the pages that answer what patients are most likely to ask: what you offer, who they will see, where you are and what to expect.

• Service pages that explain each service plainly
• Practitioner profiles with qualifications and areas of practice
• FAQs answering real patient questions directly
• Location pages with accurate address, hours and access details

Each page works better when it focuses on one topic, answers the main question early and uses plain language rather than jargon or marketing claims. Accuracy matters as much as clarity, because AI tools may repeat what they find, and the health advertising rules still apply to everything on your site, including how qualifications and titles are described. We review these pages as part of the audit and prioritise the ones that need the most work.

They can. AI tools often draw on your Google profile, reviews and other public sources, so accurate listings and genuine reviews help. When someone asks an AI tool about practices in their area, the answer may reflect what is publicly available about you.

For health practices, reviews need careful handling. Under the National Law, you can’t use testimonials in your advertising, so you shouldn’t quote or showcase clinical reviews on your website or in ads. Patients are free to leave reviews on independent platforms such as Google, and you can respond professionally, but you shouldn’t offer incentives for reviews.

The more useful focus is the accuracy of your listing itself: correct name, address, phone, hours, services and practitioners. That is information you control and AI tools rely on. We help keep listings accurate and consistent, and can advise on responding to reviews in a way that protects patient privacy. We are not lawyers, so complex questions are best taken to a health lawyer or your indemnity insurer.

It varies, because AI tools update in different ways. We track results over months and make no guarantees about timing or outcomes.

Some tools draw on live search results, so changes to your website or listings may show up once they are picked up. Others rely on information gathered less often, so updates can take longer to appear, and some answers shift from one week to the next for reasons nobody outside those companies can see. That is why a single test isn’t a reliable measure of progress.

The foundational work usually helps your regular search visibility too, so it is worth doing regardless of how quickly AI tools respond. We monitor a consistent set of questions over time and report on what has changed, what hasn’t and what we are doing about it. If something isn’t moving after a reasonable period, we’ll review the approach with you rather than simply waiting. You’ll always have a clear picture of where things stand.

Possibly, though usually not dramatically. We write plain-English answers to the questions real patients ask, structured so they are easy to find and quote. That style helps patients first, and it also makes your content easier for search engines and AI tools to understand.

In practice, it means leading with a direct answer, then explaining the detail. Each page or section focuses on one question, uses headings that reflect how patients phrase things and avoids jargon where a plain word will do. Clinical information stays accurate and balanced, and practical details, such as costs, referrals, what to bring and how appointments work, are stated clearly where you can provide them.

It also means leaving out what the health advertising rules don’t allow: testimonials, outcome claims, superlatives and anything that could create unreasonable expectations. Content written this way tends to hold up well in regular search, in AI answers and with patients. We can review your existing content, rewrite the pages that need it and agree a style for new content so it stays consistent.