Co-Kinetic — Simplify Your Marketing. Save Time. Grow Your Practice.
Free Webinar · 2026

How to Get Your Clinic
Recommended by AI Search
Before Your Competitors Do

The way patients search for clinics has fundamentally changed. Most practices haven't caught up yet. This session shows you exactly what's shifted, and what to do about it.

Tor Davies Founder, Co-Kinetic
25 Years Clinical Content Publishing
100 Issues Peer-Reviewed Journal
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Before We Start

I know what you're thinking.
"Here we go again."

The reaction
Google Ads. SEO. Social media. Now AI.
I've jumped through every hoop. I just want to run my clinic.
This one is different
For the first time, this shift favours the most experienced practitioners.
AI rewards clinical depth and authority. Not follower counts. Not TikTok dances.
The advantage is compounding — right now.
AI rewards content that has been around longer.
  • Every article published today builds authority that grows over time.
  • Clinics that start now will have months of compounding content lifespan by the time others begin.
  • The gap doesn't stay the same — it widens every month. The sooner you start, the harder it becomes for anyone to catch you.
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Here's why you can't afford to ignore this
If you're invisible to AI,
your digital presence
doesn't just fade.
It disappears completely.
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Part One

The way patients find clinics has fundamentally changed.

Traditional SEO is about getting to page one of Google. But patients are increasingly asking AI tools for recommendations instead — and AI works completely differently. If you’re not optimised for AI visibility, you’re invisible to a growing proportion of your potential patients, regardless of how good your website is.

The Old Way — Traditional SEO
→Be findable when someone searches
→Rank in the top 10 links
→Hope they click through to your website
→Competing for attention among dozens of results
The New Reality — AI Visibility
→Be trusted when someone asks
→Get cited by AI as the answer
→Get recommended before they visit your site
→Arrive as the trusted expert before they even click
1 in 3
patients now turn to AI first for health queries — before calling a clinic, before visiting the NHS website, before asking a friend.
36% of Britons go to AI before the NHS website.
In Australia, 35% go to AI ahead of GP and health authority pages.
Source: AXA Health & Mi3, April 2026
83%
of searchers never click a website when an AI Overview is present. In Google AI Mode, that rises to 93%.
48.7% of all healthcare Google queries now trigger an AI Overview — the highest rate of any industry.
Source: Conductor, April 2026
Every pound you spend on SEO is competing for the 7–17% of clicks AI leaves behind.
4.4×
higher conversion rate when a clinic is recommended by AI vs. found via organic search
A patient who finds you via an AI recommendation is 4.4 times more likely to book than one who finds you through a Google search.
Source: Adobe Analytics, April 2026
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Where your SEO budget actually goes

Out of every 100 searches, how many never reach a website?

Standard Google
60
out of 100 never click
Google + AI Overview
83
out of 100 never click
Google AI Mode
93
out of 100 never click
ChatGPT Search
96%
lower CTR than Google
4.4×
But the clicks that do come from AI convert at 4.4× the rate of traditional search.
Fewer clicks. Far higher intent. A patient who arrives via an AI recommendation has already been told you’re the answer. They’re not browsing — they’re ready to book. And even when AI recommends you without a link, that name recognition drives direct searches and calls. Being cited is the new page one. Adobe Analytics, April 2026
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The uncomfortable truth
Established clinics aren’t struggling because they lack patients.
They’re struggling because they’re paying for SEO that’s funding their own invisibility in AI search.
The tools patients are now using to find clinics don’t rank websites by SEO score. They read content, assess clinical authority, and decide who to recommend. If your content was built for Google, it may be actively working against you in AI search.
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Your Host Today
Tor Davies, Founder of Co-Kinetic
Tor Davies
Former Physiotherapist · Founder, Co-Kinetic
  • Former physiotherapist — trained at Addenbrooke’s Hospital, Sports Science at Birmingham University
  • 25 years publishing a peer-reviewed clinical journal written exclusively for physical and MSK therapists
  • Built one of the most extensive libraries of award-winning clinical and patient-facing content in the profession
  • Last 10 years: helping clinics market themselves effectively, and building technology platforms to support that
  • I know this space — the content, the clinics, and the technology — from the inside
Physiotherapy · Addenbrookes Hospital Sports Science · Birmingham University 25 Years Clinical Publishing 100 Peer-Reviewed Issues Co-Kinetic Founder
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27 YEARS. ONE SUBJECT. ONE AUDIENCE.

Nobody knows MSK clinical content
for practitioners and patients
better than we do.

Co-Kinetic Journal covers — 25 years of peer-reviewed clinical content

A selection of Co-Kinetic Journal covers — 100 issues since 1999

Co-Kinetic clinical education content — journal watch, infographics, patient resources

The depth and range of content we produce — clinical articles, infographics, patient resources

→ 25 years. 100 journal issues. Thousands of evidence-based articles. Peer-reviewed clinical content for physiotherapists and MSK clinicians since 1999.
→ Both sides of the desk. Professional education content for practitioners and patient-facing resources — the content read in waiting rooms, shared after appointments, and now cited by AI.
→ In the AI game from day one. Using AI to create patient-facing content since ChatGPT launched in 2022 — not catching up, already there.
→ Not a marketing agency. A clinical publisher. Deep, structured, clinically authoritative MSK content — exactly what AI is designed to trust and cite. That's 27 years of expertise applied to a new landscape.
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Same Question. Very Different Answers.

This is what your patients
are actually seeing now.

Both screenshots show the same search: "shoulder pain worse at night sleeping." The left is a traditional Google results page. The right is what ChatGPT returns. Notice the difference in depth, trust, and — critically — which clinics get mentioned.

Google Search — Traditional
Google search results for shoulder pain worse at night sleeping
ChatGPT — AI Search
ChatGPT response for shoulder pain worse at night sleeping
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The Numbers Don't Lie

This isn't a trend.
It's already happened.

Out of every 100 people searching
AI-first searchers (35)
Google AI Overview (48)
Traditional results (17)
35 people
go straight to ChatGPT, Gemini or Perplexity. They never open Google. Your website is invisible to them unless AI cites it.
48 more people
use Google but get an AI Overview at the top. 83% never scroll past it. They get an answer — just not from your website.
17 people left
reach traditional search results. This is the entire pool your Google Ads and SEO are competing for.
Traditional SEO and Google Ads are now competing for just 17 people in every 100. The other 83 are being answered by AI — with or without you.
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The Advertising Question

You can't buy your way
into the other 83.

ChatGPT (OpenAI)
Limited pilot
Ads launched for free users in the US (Feb 2026), now expanding to Australia, NZ and Canada (Mar 2026). UK not yet confirmed. Ads appear below the answer — never inside it. Health queries are explicitly excluded from ad eligibility.
Perplexity
Pulled entirely
Tested sponsored placements in 2024, then abandoned them in February 2026. Reason: even clearly labelled ads made users question whether the answers were influenced. “A user needs to believe this is the best possible answer.”
Claude (Anthropic)
Publicly committed to staying ad-free.
Gemini (Google)
No ads in the standalone product. Google runs ads in AI Overviews within Search.
The bottom line

For healthcare content, paid advertising in AI is either blocked or non-existent. You cannot buy a recommendation from ChatGPT, Perplexity, Claude, or Gemini.

The only way to appear in AI answers is to be the source AI trusts enough to cite. That trust is earned through content quality, clinical authority, and structured evidence — not ad spend.

Think of it like organic search
If you were already ranking organically, adding paid ads on top made you more visible. The same logic will apply if AI ads mature — but the organic foundation has to come first. And right now, that foundation is what almost no clinic has.
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Why This Matters More Than SEO

AI search doesn’t just send more patients.
It sends better ones.

When a patient finds your clinic through traditional Google search, they arrive with a question. When they find you through AI search, they arrive with an answer — and you're the one who gave it to them. That's why the conversion rates are so dramatically different.

Conversion Rate Comparison (Adobe Analytics, April 2026)
Traditional Search
2.8%
AI-Driven Traffic
14.2%
AI-driven traffic converts at 4.4× the rate of traditional search traffic. Source: Adobe AI Traffic Report, April 2026.
Why the difference is so large:
🎯
Higher intent
AI users are further along in their decision. They're not browsing — they're ready to act.
🤝
Pre-built trust
AI cited your content as the answer. You arrive as the trusted expert, not a search result.
💬
Specific match
AI answers specific questions. If your content answered theirs, the fit is already proven.
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Understanding the Difference
SEO vs AI Visibility (AEO) Venn diagram — Traditional SEO gets you found. AI optimisation gets you cited. You need both.
Traditional SEO
Gets you ranked. Optimises for Google’s algorithm. Still essential.
The Overlap
Quality content, authority signals, proper structure, trust signals.
AI Visibility (AEO)
Gets you cited. Optimises for being the trusted answer. The new layer.
SEO — Search Engine Optimisation. Getting your website to rank on Google's results page.
AEO — Answer Engine Optimisation. Structuring your content so AI cites it as the answer to a patient's question.
AI Agentic — The next frontier: AI that acts on behalf of patients — booking appointments, comparing clinics, making decisions autonomously.
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Real Data — Five UK Physiotherapy Clinics

Good SEO doesn't equal
good AI visibility.

Practice Name Website SEO Score AI Citations
Pro Sport Physiotherapy prosportphysio.com 71% 29%
The Physiotherapy Centre therapy-centre.net 66% 23%
Physio Remedies physioremedies.com 72% 19%
The Children's Physio ⭐ thechildrensphysio.com 45% 34%
Releaf Physio releafphysio.com 74% 25%
💡
The Children's Physio had the worst website — and the highest AI citation rate.
Niche authority beats broad SEO. A highly specific focus on paediatric physiotherapy made their content the most trustworthy answer to a very specific question. AI rewards depth and specialisation, not just domain authority.
These are real clinics tested using our AI visibility assessment tool
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Know Your Landscape

Your patients are now using
at least eight AI platforms
to find health answers.

The four we assess — highest health search traffic
Google AI Overviews
Highest volume · 50% traffic weight in our assessment
ChatGPT
Including ChatGPT Health — more on this next
Perplexity
Research-focused · cites sources prominently
Claude
Favours long-form, well-structured clinical content
Also growing fast — and watching the same content signals
Gemini (Google)
Deeply integrated with Google Search
Grok (xAI)
Elon Musk's AI · growing X/Twitter user base
Meta AI
Built into Facebook, Instagram, WhatsApp
Copilot (Microsoft)
Built into Windows, Edge, Bing
🎯
The good news: the same content signals that earn visibility on the four primary platforms work across all eight. Get the fundamentals right once and you benefit everywhere.
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New Platform — January 2026 · UK Rollout Pending

ChatGPT Health:
a new patient discovery channel
not yet in the UK — but coming.

OpenAI launched ChatGPT Health in January 2026 — a dedicated mode within ChatGPT built specifically for health conversations. Here's what makes it different from standard ChatGPT:

Medical record integration
Patients can upload clinical records and test results — responses are based on their actual health history, not generic assumptions.
Private & confidential
Health chats are not used to train OpenAI models. Enhanced privacy protections apply to all medical discussions.
Cites sources & flags professionals
It cites credible sources and actively tells patients when they should see a professional — making it a referral pathway, not a replacement.
Tuned for clinical context
Calibrated to avoid dangerous oversimplification and surface appropriate next steps — including finding a relevant specialist.
Not yet in the UK — but that's not a reason to wait. It's a reason to prepare. When it lands, the clinics already optimised will have a head start.
And ChatGPT isn’t alone.
Q1 2026 was a watershed moment for AI health
🔵
Perplexity Health — March 2026. Apple Health & wearable integration, personalised health answers.
🟢
Microsoft Copilot Health — March 2026. Reads medical records, test results, medications & wearable data.
🟠
Amazon Health AI — March 2026. Free for all 200M+ Prime members. Books appointments, answers health questions.
Four of the world’s biggest tech companies launched dedicated AI health tools in a single quarter.
This is not one company experimenting. This is an industry-wide shift — and it’s happening right now.
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New Research — April 2026

Your patients are using AI for health answers.
And it's changing their behaviour.

New research published in April 2026 shows that patients are not just using AI to find clinics — they are using it to make clinical decisions.

35–36%
of people in the UK and Australia now turn to AI first for health queries — ahead of NHS, GP, and health authority websites. AXA Health & Mi3 Australia, April 2026
59%
said AI health content increased their anxiety — making them actively seek a trusted professional to reassure them. AXA Health, April 2026
93%
have used AI to check symptoms late at night — outside clinic hours, when no professional is available. AXA Health, April 2026
First-mover advantage is still wide open.
In most local areas, no clinic has built the content AI trusts. The one that does first becomes the default recommendation — and that position compounds.
The anxiety loop is a referral opportunity.
Anxious patients are actively looking for a trusted professional. If your content is what AI cites, you are that professional — before they pick up the phone.
If your content isn’t in that conversation, a competitor’s is.
At 11pm, when a patient asks AI about their back pain, the clinic AI cites gets the booking. That clinic needs to be yours.
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Why Timing Matters

The Cost of Waiting:
Content Authority Compounds Over Time

Authority Accumulation Effect — the gap widens the longer you wait
Content accumulates:
backlinks, engagement, trust signals, AI citations — each one making the next easier to earn.
There are roughly 3–5 physio or osteo clinics within 5 miles of most patients. Only one of them will own AI visibility in your area. Right now, that position is unclaimed.
A clinic that starts today and publishes consistently will have 18 months of compounding authority before a competitor who waits until next year even begins.
Which line are you on?
The orange line belongs to the clinic that started today. Every month you wait, you move further down the chart — and the gap becomes harder to close.
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Your Free Bonus — At The End Of This Session

We'll show you exactly where
your clinic stands right now.

At the end of this session, we'll give you a link to run your free AI Visibility Assessment. Enter your clinic website and you'll have a personalised benchmark showing exactly where you stand — before you leave today. Completely free. No sign-up. No strings.

1
Your weighted AI visibility score
Across Google AI Overviews, Perplexity, ChatGPT, and Claude — weighted by real patient search volumes
2
12 real patient queries tested
Condition, treatment, practitioner, and comparison queries — the searches patients actually make when they're ready to book
3
Your local leaderboard position
See exactly where you rank against every other clinic in your area — and which competitors AI is sending patients to instead of you
Takes 3 minutes. Link shared at the end of the session.
Real example result — Newhill Osteopathy
AI Visibility Assessment score overview AI Visibility Leaderboard
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02
Part Two

The New Rules:
How to Earn
AI Visibility

AI doesn't rank websites. It evaluates credibility. Here's what that means in practice — and what you need to do about it.

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The Framework

AI visibility rests on
three pillars.

🏛️
Pillar 1

Authority

Who is behind this content? AI needs to verify that a real, qualified clinician authored it — with credentials, a consistent web presence, and a track record of clinical expertise.

E-E-A-T · Clinician Profiles · Person Schema
📝
Pillar 2

Content Structure

How is the content organised? AI needs content that answers questions directly, uses the language patients actually use, and places the most important answer in the first 30% of the page.

Answer Capsules · Q&A Headings · Pillar/Cluster Architecture
🔧
Pillar 3

Technical Signals

What does the code say? Schema markup tells AI exactly what type of content this is, who wrote it, what condition it covers, and how it relates to other content on the site.

Schema Markup · FAQPage · MedicalCondition · LocalBusiness
Getting cited by AI is 20% what you write and 80% how it's built. Most clinics focus on the writing — but that's actually the smallest part.
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Why Healthcare Content Is Held to a Higher Standard

For healthcare content, the bar is higher.
Much higher.

Google and AI platforms classify all content into categories. Health content — anything that could affect someone's physical wellbeing — falls into a special category called YMYL: Your Money or Your Life.

For YMYL content, the trust bar is dramatically higher. Write about knee pain treatment, and AI applies a technical trust filter before it will cite you — one that simply doesn’t exist for most other content categories.

This is why E-E-A-T isn't just a nice-to-have for clinic websites. It's a technical requirement. Without it, your content will be read but not cited — no matter how good it is.

The practical implication
A generic SEO agency can optimise a restaurant website and see results. Optimising a physiotherapy website for AI visibility requires deep, specialist understanding of clinical content — what it says, how it's structured, and whether it meets the credibility standards AI applies to health information. Clinical specialism isn't a nice-to-have. It's the entire difference.
YMYL Content Categories
❤️
Health & Medical
Symptoms, treatments, conditions, clinicians — this is you
💰
Financial Advice
Investments, pensions, insurance
⚖️
Legal Information
Legal rights, advice, regulations
E-E-A-T
Experience · Expertise · Authoritativeness · Trustworthiness
Google & AI's technical trust filter for YMYL content
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Pillar 1: Authority

AI doesn't trust websites.
It trusts people.

E–E–A–T
E
Experience
E
Expertise
A
Authoritativeness
T
Trustworthiness
Google's framework for evaluating content credibility. Originally for human quality raters — now the primary signal AI uses to decide whether to cite health content.

For clinics, every piece of content needs to be attributed to a real, verifiable person — not a team, not a brand. Here's what that looks like in practice:

A named person with a qualification
Not "our clinical team" — a specific clinician with credentials, registration, and specialisms that AI can verify.
Consistent across the web
The same name, qualifications, and bio need to appear on your website, LinkedIn, and professional registers — AI cross-references all of them.
Cross-referenced everywhere
Links between your website, HCPC/CSP/GOsC registration, LinkedIn, and published work build a web of credibility AI can trace.
The more networked, the more trusted
Every consistent signal — a citation, a mention, a linked profile — adds to AI's confidence that this person is who they say they are.
What a strong E-E-A-T profile includes:
Full name + qualifications
e.g. "Sarah Jones BSc (Hons) Physiotherapy, MCSP, HCPC Registered"
Years of clinical experience
Specific specialisms, conditions treated, patient populations
Professional registration links
HCPC, CSP, GOsC — verifiable by AI
LinkedIn profile
Consistent with website bio — AI cross-references these
Person schema markup
Structured data that tells AI exactly who this person is
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Pillar 2: Content Structure

One pillar page.
Multiple cluster articles.
One authoritative topic.

AI doesn't just evaluate individual pages — it evaluates your site's overall authority on a topic. A single blog post about knee pain is easy to ignore. A comprehensive pillar page on knee pain, supported by 8–10 cluster articles covering every aspect of the condition, is very hard to ignore.

This is the content architecture that earns AI citations. It signals that your clinic is the authoritative source on this topic in your area — not just someone who wrote one article about it.

Example: Knee Pain Pillar + Clusters
PILLAR PAGE: Knee Pain — Complete Guide
Comprehensive overview · 2,000+ words · All schema types
Knee Pain at Night
Knee Pain When Running
Patellofemoral Pain
Knee OA Exercises
Meniscus Injury Recovery
When to See a Physio
What this looks like in practice: Knee Pain
PILLAR PAGE Knee Pain Knee Pain at Night cluster article Knee Pain Running cluster article Patellofemoral Pain cluster article Knee OA Exercises cluster article Meniscus Recovery cluster article When to See a Physio cluster article Knee Swelling cluster article
Each spoke is a separate, deeply researched article. Together they signal total topic authority.
Why this works
A single blog post about knee pain is easy for AI to overlook. A constellation of deeply researched, clinician-authored articles covering every aspect of the condition is very hard to ignore. AI rewards the clinic that owns the topic, not just the one that mentioned it.
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New Research — The Most Important Content Finding of 2025

44.2% of all AI citations
come from the first 30%
of a webpage.

A landmark study analysed 1.2 million ChatGPT responses and found that nearly half of all citations came from the first third of the page — specifically from what researchers called an "answer capsule."

An answer capsule is a 40–60 word, direct, link-free response to the question posed in the heading immediately above it. It appears before any background context, before any caveats, before anything else.

Most clinic websites bury the answer halfway down the page after three paragraphs of introduction. AI doesn't wait that long.

💡
The rule: Every piece of content must answer the question in the heading within the first 40–60 words. No preamble. No context-setting. Answer first, explain after.
What an answer capsule looks like
How long does rotator cuff tendinopathy take to heal?
ANSWER CAPSULE (40–60 words)
Most cases of rotator cuff tendinopathy resolve within 6–12 weeks with appropriate physiotherapy. Mild cases may improve in 4–6 weeks. Severe or chronic cases can take 3–6 months. Early treatment significantly improves recovery time.
The rest of the article — anatomy, causes, treatment options — follows below. AI cites the capsule. Patients read the rest.
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New Research — January 2026

YouTube is now the
#1 cited health source
in Google AI Overviews.

A study of 50,000+ health queries published in January 2026 found that YouTube is the single most-cited domain in Google AI Overviews for health topics — accounting for 4.43% of all citations, ahead of NHS.uk, Mayo Clinic, and every hospital website. No other single domain comes close.

This is a significant finding. It means that for physiotherapy and MSK clinics, a short, well-structured video explaining a condition or treatment is now one of the highest-value pieces of content you can produce.

You don't need a production studio. You need a phone, good lighting, and the clinical knowledge you already have.

📹
The winning combination: A short video embedded in a well-written, properly structured article gives AI two strong signals at once — depth of content and multimedia authority. Each makes the other perform better.
Top cited sources in Google AI Overviews for health queries (Jan 2026 study, 50K+ queries)
YouTube #1
NHS / Government health sites #2
Academic / research journals #3
Hospital / clinic websites #4
Source: SE Ranking, 50,000+ health queries, January 2026
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Content Structure

AI thinks in questions and answers.
So should your content.

Question-based headings
Use patient questions as your H2 and H3 headings throughout the page. AI treats each heading as a prompt and the paragraph below it as the answer, making every section a potential citation.
Instead of "Rotator Cuff Tendinopathy Treatment" → use “How is rotator cuff tendinopathy treated?”
Instead of "Recovery Time" → use “How long does recovery take?”
2x
more likely
to be cited
Answer capsule
The 40–60 word direct answer placed immediately after each heading, before any context or caveats. You saw this on the previous slide. It is the single highest-impact structural change you can make.
The question heading sets up the prompt. The answer capsule delivers the response. AI extracts the capsule and cites your page as the source. Most clinic websites bury the answer three paragraphs in. By then, AI has moved on.
44.2%
of citations from
first 30% of page
FAQ section
A dedicated Q&A block at the end of every page, marked up with FAQPage schema. 5–10 questions, 40–60 word self-contained answers, patient language. This is a separate, distinct element from the body content above it.
The FAQ section gives AI a pre-formatted extraction zone at the end of the page. FAQPage schema removes any ambiguity about where the questions and answers are. Pages with this markup show 28–40% higher citation probability across ChatGPT, Perplexity, and Google AI Overviews.
3.2x
more likely in
Google AI Overviews
Sources: AI Visibility Strategy for Healthcare Content 2026; AmICited FAQPage Schema Study, Jan 2026; 1.2M ChatGPT response study, 2025
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Content Hierarchy

Each page type
does a different job.

1
Condition Pages
Foundation

Educational content about specific conditions. Captures patients at the research stage — when they’re trying to understand their symptoms or diagnosis. Build these first; everything else links back to them.

Patient search intent
“What is plantar fasciitis?”
“frozen shoulder symptoms”
“rotator cuff tear recovery time”
2
Treatment Pages
Technique

Dedicated pages for specific clinical techniques you offer. These explain what the treatment is, what it helps, what to expect, and who it’s for. AI uses these to recommend specific treatments to patients.

Patient search intent
“shockwave therapy for heel pain”
“does dry needling work for back pain?”
“acupuncture for sports injury near me”
3
Service Pages
Specialism

Broader specialism pages that define what your clinic does. This is where clinician profiles and local context do the most work. AI uses these pages to recommend your clinic for specific patient needs.

Patient search intent
“sports physio [your town]”
“women’s health physiotherapist near me”
“MSK clinic [your area]”
4
Blog Posts
Authority

Thought leadership and in-depth clinical content that builds topical authority. Most effective when linked to condition and treatment pages. These are the pages AI cites most often for specific patient questions.

Example titles
“5 exercises for lower back pain”
“Is it safe to exercise with a frozen shoulder?”
“What the research says about shockwave therapy”
💡
Why the order matters: Blog posts need a foundation to link to. Build your condition, treatment, and service pages first — then amplify with regular blog content. A post on “5 exercises for knee pain” is far more powerful when it links back to a comprehensive knee pain condition page on the same site.
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Write for Patients, Not Clinicians

Your patients don't search
in clinical terminology.

AI matches content to queries using natural language. If your content uses clinical terminology that patients don't use in their searches, it won't be matched — no matter how clinically accurate it is.

How patients actually search:
Clinical term
Plantar fasciitis
Cervicogenic headache
Patellofemoral pain syndrome
Subacromial impingement
Patient language
"heel pain in the morning"
"headache from neck pain"
"knee pain when going downstairs"
"shoulder pain reaching overhead"

The best AI-visible content bridges both worlds: it uses patient language in headings and answer capsules (because that's what AI matches to queries), and clinical terminology in the body (because that's what establishes credibility).

This is why patient voice research runs before a word is written — the actual language patients use shapes every heading and answer capsule.

🗣️
Practical test: Read your headings aloud. Would a patient in pain say those words? If not, rewrite them.
💡 The definitive language principle
Clinicians are trained to hedge: “this may help” or “evidence suggests.” But AI preferentially cites definitive statements: “The most effective first-line treatment for plantar fasciitis is…” You can still be clinically accurate — just lead with the answer, then qualify it.
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Pillar 3: Technical Signals

Schema markup is the
language AI speaks.

Schema markup is structured data embedded in your page's code. It doesn't change what visitors see — but it tells AI crawlers exactly what type of content this is, who wrote it, what it's about, and how it relates to other content.

Without schema, AI has to infer all of this from the text. With schema, you tell it directly. That's the difference between being guessed at and being understood.

Article + Person schema
Who wrote this, when, and what their credentials are
FAQPage schema
Marks up Q&A pairs so AI can extract and cite them directly
MedicalCondition schema
Tells AI this is a clinical article about a specific condition
LocalBusiness + MedicalClinic schema
Confirms your location, services, and opening hours for local AI queries
EXAMPLE: FAQPAGE SCHEMA
{
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "How long does
rotator cuff tendinopathy
take to heal?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Most cases resolve
within 6–12 weeks..."
}
}]
}
⚙️
Schema is invisible to visitors but essential for AI. Every piece of content we produce has all relevant schema types embedded automatically.
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Don't Forget Local

Most patients search locally.
Most clinics optimise globally.

When someone asks ChatGPT "who's the best physio for knee pain in Bristol," it's not looking at national directories. It's looking for clinics that have established local authority — through local content, local citations, and local schema.

Most clinic websites are optimised for generic condition terms. Very few are optimised for the hyperlocal queries that actually drive bookings.

Mention your location in content
"Patients in [town] often present with..." — natural, not forced
Google Business Profile — fully optimised
AI reads GBP data. Services, hours, reviews, photos — all matter.
LocalBusiness schema with service area
Explicitly tells AI your geographic coverage
Local citations and directory listings
Consistent NAP (name, address, phone) across all directories
The local AI query your clinic needs to own:
"Who's the best physiotherapist for [condition] in [your town]?"
"Where can I get physio for [condition] near me?"
"Best MSK clinic in [your area] for [condition]"
These are the queries your patients are actually asking AI right now. Is your clinic the answer?
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The Checklist

Every AI-visible piece of content
needs these six things.

👤
Verified clinician authorship
AI needs to connect the content to a real, qualified person. That means an authored byline, a credentialled profile, and a consistent presence across the web.
❓
Question-led structure
Content needs to be structured around the questions patients actually ask — not written as an essay. AI extracts answers; it needs them to be findable.
📋
FAQ section with schema markup
A dedicated FAQ section marked up with FAQPage schema makes content 3.2× more likely to appear in AI Overviews. The markup is what signals it to AI — not just the questions themselves.
🔗
Clinical citations
AI is trained to favour content that cites its evidence. Peer-reviewed sources signal that claims are grounded — not just generated.
📍
Local context
When a patient asks AI for a clinic near them, your location needs to be woven naturally into the content — not just in your address footer.
⚙️
Structured data (schema markup)
The code layer beneath the content. Schema tells AI what type of content this is, who wrote it, what condition it covers, and how it connects to the rest of your site. Most clinic websites have none of it.
These six signals alone put you ahead of 90% of clinic websites. The question is whether your content is actually built to deliver them.
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E-E-A-T in Practice

“Am I getting too old for this?”
On the contrary.

For a decade, younger clinicians out-marketed more experienced ones — not because they were better, but because they were more comfortable with digital tools. AI reverses that completely. The first 'E' in E-E-A-T stands for Experience — and for the first time, depth of clinical experience is a marketing advantage, not just a clinical one.

The critical caveat
That experience is invisible to AI unless it’s structured and communicated in a way AI can read. The experience has to be made visible. Having it is not enough — you have to show it.
What AI looks for in an experienced clinician
✓ Years of practice — stated clearly, not implied
✓ Notable organisations and partnerships — NHS trusts, sports clubs, elite teams, specialist clinics
✓ CPD history — courses, conferences, certifications
✓ Published articles, case studies, or clinical commentary
✓ Teaching, mentoring, or clinical supervision — training the next generation of clinicians
✓ Consistent presence across your website, LinkedIn, and professional directories
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Common Objection

“Doesn’t Google penalise
AI-generated content?”

The legacy fear
This objection dates from 2022–23, when Google was penalising low-quality, mass-produced AI content — the kind generated by content farms churning out thousands of thin articles a day. That was a real problem, and Google acted on it.
What Google actually said (March 2024 update)
Google clarified that it does not penalise AI-generated content as such. What it penalises is unhelpful content — regardless of how it was produced. The signal it looks for is E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness.
The real question Google asks
Was this written by someone with genuine clinical expertise?
Does it answer the patient's question accurately and completely?
Is it backed by evidence and attributed to a real person?
The reframe

The tool doesn't matter. The quality does.

A clinically accurate, well-structured, cited article produced with AI assistance will outperform a generic human-written blog post every time. And a generic AI-written article with no author, no citations, and no structure will be ignored — by Google and by AI alike.

74% of newly published web pages now contain AI-generated content (Ahrefs, 2025). The internet is already majority AI-written. The question is no longer whether to use AI — it’s whether you’re using it to produce something genuinely better than the noise.
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Most clinic websites are already
penalised by AI.

Problem 1
The existing content is invisible to AI.
  • Written for Google's old algorithm — keyword-optimised, no clinical depth
  • No named author, no cited evidence, no structure AI can extract
  • AI doesn't penalise it. It just ignores it.
Problem 2
The AI slop response makes it worse.
  • Generic AI articles — no clinical voice, no citations, no author authority
  • Exactly what AI systems are trained to deprioritise
  • You can invest in content and end up further behind.
25% of people who received health information from AI said it turned out to be incorrect — AXA Health, April 2026
💡
Here's the hidden opportunity: those old URLs have real value.
Legacy URLs carry age and domain authority that brand-new content simply can't match. Rewrite them with the right clinical structure, a named author, and schema markup — and you flip a liability into a winner. You'll also have a speed advantage over competitors who have no existing content at all and are starting from scratch.
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A Word of Warning

SEO = AEO?  B*llocks.

Expert testimony from Tim Cameron-Kitchen, Exposure Ninja
If your SEO agency tells you they're already doing AEO — or that SEO and AEO are essentially the same thing — be very sceptical.
They are not the same thing
SEO optimises for Google's ranking algorithm. AEO optimises for AI citation — a fundamentally different system based on credibility, depth, and structured answers, not keyword density and backlinks.
The right question to ask your agency
“Can you show me which of my pages are currently being cited by ChatGPT, Perplexity, or Google AI Overviews — and what you're doing specifically to improve that?”
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Real Data — MSK Clinics Tested April 2026

Most clinics are scoring
under 30%.

These are real MSK and physiotherapy clinics that ran our AI Visibility Assessment in April 2026. Every one of them has a website. Most have been investing in SEO. None of them knew how invisible they were to AI.

17.7%
average AI visibility score across 15 MSK clinics tested — April 2026
4 of 15
scored 0% — completely invisible across all AI platforms tested. Every clinic was in the same position.
The window is still open.
In most local areas, no clinic has yet built meaningful AI visibility. The clinic that moves first will be the one AI recommends. Right now, that position is unclaimed.
AI Visibility Assessment Results — April 2026 (emails redacted)
Real clinic AI visibility scores from April 2026 assessment data
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03
Part Three

What Good
Looks Like

Here's what a properly implemented AI visibility strategy produces — in practice, not in theory.

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Step 1: Know Where You Stand

First, we build a complete picture
of your clinic's visibility.

Co-Kinetic assessment — overview score for Pro Sport Physiotherapy
The overview — overall score, what's working well, and priority improvements across all four categories

The system reads your website to understand who you are, what you do, and where you're based. It analyses your site across four categories:

Technical Foundations — site speed, security, mobile, schema
Local Trust Signals — Google Business Profile, reviews, local citations
Professional Credibility — clinician profiles, qualifications, E-E-A-T signals
Content & Discovery — page quality, structure, AI citation readiness

Separately, the AI Visibility Assessment runs 12 custom queries across Google AI Overviews, ChatGPT, Perplexity, and Claude — checking whether your clinic is actually being cited. All of this feeds into your overall score.

Competitor analysis — AI scans your local competitors to identify what they rank for and where they are being cited
Keyword gap analysis — identifies the patient search terms your competitors own that your site doesn't yet answer
Pro Sport Physiotherapy scored 76% overall — strong technical foundations and 305 Google reviews, but 0% author attribution and an E-E-A-T grade of F. Two fixable problems blocking AI citations.
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Step 2: Go Hyperlocal

AI rewards content that's
rooted in your local community.

Hyperlocal Content Intelligence — local entities discovered via Google Maps for Pro Sport Physiotherapy
Hyperlocal Content Intelligence — 31 local entities across 7 categories discovered within 8 miles of the clinic

The assessment maps your local area — parks, sports clubs, gyms, schools, workplaces — and identifies content opportunities that tie your clinic to the community AI is most likely to associate you with.

Instead of a generic article on "plantar fasciitis treatment", you write "Physiotherapy for runners training at Greenhead Park" — and suddenly you're the clinic that AI recommends to the 400 people who run there every Saturday.

Discovered for Pro Sport Physiotherapy
Huddersfield (Greenhead Park) parkrun — 400+ weekly runners
Rockhopper Running, Stadium Runners, Slaithwaite Striders
4 sports facilities & gyms — partnership content opportunities
31 total local entities across 7 categories
🌍
Works anywhere in the world. The examples shown are UK-based, but the system adapts to any country, city, or community. Local entities, competitor data, and hyperlocal content opportunities are researched fresh for every clinic, wherever they are.
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Step 3: Personalise to Your Clinic

The content plan is built around
your priorities, not a template.

Practice Priority Topics — Shockwave Therapy, Dry Needling, Women's Health
Practice Priority Topics — content related to these areas scores higher in the content plan
Team profiles showing Alistair Finch (E-E-A-T 89%) and Claire Good (starred, E-E-A-T 79%)
★ Prioritise a clinician — Star a team member to give their specialisms additional weighting in the content plan. Content that showcases their expertise scores higher — without excluding the rest of the team.

Before any content is generated, the system filters everything through three layers of personalisation specific to your clinic:

1
Practice Priorities
Your current strategic treatment focus areas — so content that supports your most important services scores highest in the plan.
2
Clinician Skill Sets
Each clinician's specialisms and qualifications are mapped so content is assigned to the right author — the one with genuine expertise in that topic.
3
Clinician Profile Data
The depth of each clinician's E-E-A-T profile — their experience, credentials, clinical voice — is built in before content is written, so every article reflects real expertise, not generic output.
Only once all three layers are in place does the system begin the clinical research and content generation. This is what separates a personalised content system from a generic AI writing tool.
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Step 4: Build Your Clinician's Profile

Your clinicians are your
competitive advantage.

The system builds a structured E-E-A-T profile for each clinician — across three phases. The more complete the profile, the more accurately AI can recommend the right clinician for the right patient.

Phase 1
Essentials
Identity, credentials, bio & online presence
Phase 1: Essentials — name, qualifications, bio, photo, online links
Name, qualifications, professional registrations, bio, photo, and online presence. The foundation AI needs to confirm who you are. Worth up to 32 points.
Phase 2
Profile Depth
Specialisations, publications, achievements & AI scoring
Phase 2: Profile Depth — conditions treated, specialist niches, CPD, publications
Conditions treated, specialist niches, post-grad qualifications, notable organisations, CPD records and publications. Worth up to 44 points.
Phase 3
Clinical Voice
Guided interview capturing your clinical perspective
Phase 3: Clinical Voice — how you explain conditions, your approach, analogies, philosophy
How you explain conditions in your own words. Your clinical approach. The analogies and language that reflect your expertise. Your philosophy and patient outcomes. Worth up to 24 points.
🌟
This is a one-time effort.
The profile setup is front-loaded by design — you do the work once, and it powers every piece of content from that point forward. You can update it any time: add new CPD, update specialisms, bring on a new clinician. But you never have to start from scratch again.
This is your clinical fingerprint — what makes your content sound like you, not generic healthcare marketing. AI tools use it to describe your expertise accurately when recommending you to patients.
👤 See a well-optimised E-E-A-T profile →
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Step 5: Your Personalised Content Visibility Plan

Only now — with everything in place —
do we build your Content Visibility Plan.

Page Inventory
Page inventory showing content quality scores across 87 pages
87 pages analysed — avg quality 54/100, £2.3k monthly revenue potential
Content Cluster Analysis
Content cluster analysis showing hub and spoke completeness across topic areas
Hub-and-spoke map — which topic clusters are complete and what's missing
High-Impact Fixes
Content visibility plan showing high-impact fixes with rewrite buttons
Existing pages prioritised by potential — one click rewrites the content
Strategic Creates
Strategic creates showing new content topics with search volume and rationale
New topics ranked by AI citation potential — with rationale and one-click writing
It's not a generic keyword list. It's a content roadmap built specifically for your clinic, your location, and your patient population — ranked by AI citation potential and local search demand.
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Step 6: Create Content

When you create a piece of content,
the research runs automatically.

Our content draws on a clinical knowledge library built over 25 years of peer-reviewed MSK publishing — more than 100 issues of clinical education content created for physiotherapists and allied health professionals. This isn't generic health content scraped from the web. It is the accumulated clinical knowledge of a specialist publisher.

But a library is only as good as its currency. Every piece of content is researched fresh before it is written — against current evidence, current competitor gaps, and the specific local context of the clinic it is being created for.

Three Research Stages Run Before Every Condition Page or Blog Post
1
Deep clinical research
We go deep into the current evidence base for each topic — the deeper the subject, the deeper we go. We research what patients are actually asking, the common misconceptions about the condition, and the questions that don't get answered well anywhere else. The content is patient-voice oriented and cites real research, not generic claims.
2
Competitor content analysis
What currently ranks for this topic is analysed. Gaps are identified. The content is written to be more comprehensive than anything already out there.
3
Local landscape research
Local context specific to the clinic's location and community is pulled in. The content reads as though it was written by someone who genuinely knows the area.
Built on 25 Years of MSK Publishing
The clinical knowledge base behind the system has been built through 25 years of peer-reviewed publishing in physiotherapy and MSK medicine. This is not a generic AI writing tool drawing on the open web. It is a specialist clinical content system built by people who have spent their careers in this field.
Seven Unique Data Sources Feed Every Piece of Content
✓  The clinician's full E-E-A-T profile ✓  Their clinical voice responses ✓  Their CPD and publication history ✓  Their single clinical insight answer ✓  Hyperlocal entity data for their area ✓  Live local area research ✓  Competitor and keyword data from their assessment
A condition page for a physiotherapist in Bristol and the same condition page for a physiotherapist in Edinburgh will be substantially different documents. There is no shared template. The inputs are different every time.
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9 Years. 52 Campaigns. Constantly Refined.

This process is built on
nearly a decade of doing it.

We've been creating clinical education campaigns for physiotherapists and allied health professionals since 2017 — that's nine years of understanding what resonates with patients, what clinicians will actually use, and what content earns trust.

When ChatGPT launched in November 2022, we started integrating AI into that campaign creation process immediately. For the past three and a half years, we've been refining and testing that AI-assisted workflow — from patient leaflets to blog posts, emails to social media — until it was good enough to automate.

The result is a process that combines nine years of clinical content expertise with a deeply refined AI workflow. Not a generic AI writing tool. A system built specifically for clinical content, by people who've been doing this for nearly a decade.

💡 52 campaigns created to date. Each one has made the next one better. That accumulated knowledge is baked into the system.
Co-Kinetic clinical content campaigns — 52 campaigns created since 2017
A selection of the 52 clinical education campaigns created since 2017
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Proof It Works

This is what an AI citation
looks like in the real world.

When a patient asks ChatGPT, Perplexity, or Google AI Overviews about a condition you treat, and your clinic's content is cited in the response — that's the goal. That's what we're building towards.

The citation appears with your clinic's name, a link to your article, and a summary of what you said. The patient sees your clinic as the authoritative source. They click through. They book.

This is happening for clinics right now. The ones who started building their AI visibility 6–12 months ago are already seeing citations. The ones who start today will see them in 3–6 months.

🎯
The window of first-mover advantage is still open. But it's closing. Every month you wait, a competitor in your area gets there first.
ChatGPT — live query: "best physiotherapy treatment for sciatica in Huddersfield"
ChatGPT citing Pro Sport Physiotherapy for sciatica treatment in Huddersfield
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Quick Wins

Where to start.

Think of these as the tip of the iceberg — small actions that signal credibility to AI. Just be mindful: doing these alone will not get you there. But they are the right place to begin.

1
Add author bylines to your top pages
Name, qualifications, link to bio. AI needs to know who wrote this.
2
Create a proper clinician bio page
Qualifications, experience, specialisms. AI cross-references this against LinkedIn and professional registers.
3
Check AI crawlers are not blocked
Your robots.txt file may be blocking GPTBot, ClaudeBot, and PerplexityBot. If they cannot read your site, they cannot cite it.
4
Stop and think about your SEO and Google Ads spend
After everything you have heard today, question any budget going to SEO-optimised content or Google Ads. You may be spending money to make yourself AI-invisible. There are now far more effective uses for that budget. And if your agency tells you SEO and AEO are the same thing — ask them to prove it.
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💬

Questions I'm often asked.

And a few you might not have thought to ask. Got something else? Ask now — no question is too basic.

How long until I see results?
Publish one or two well-optimised articles a month and you should see meaningful AI citation improvements within 90 days. Authority compounds — the earlier you start, the faster it builds.
How is this different from SEO?
SEO optimises for Google rankings. AI visibility optimises for being cited as the answer. The signals are different: E-E-A-T, structured content, named clinician expertise. You need both, but AI is the faster-growing channel.
Does this work for small clinics?
Yes — and small clinics often have an advantage. A solo physio who is the named author of every article has a clearer authority signal than a large clinic with anonymous content. AI rewards depth, not size.
What about Google Ads?
Ads only reach people using traditional Google search — and that pool is shrinking. Ads stop the moment you stop paying. AI-optimised content compounds over time and reaches the growing share of searchers who never see your ads.
My SEO agency says they already do this.
They may be adding keywords and meta tags — that's SEO. AEO requires a completely different content architecture: named clinician authorship, E-E-A-T signals, structured answer capsules, schema markup, and content built around how AI retrieves answers, not how Google ranks pages. Ask them to show you a single piece of content they've built specifically to be cited by an AI. If they can't, they're doing SEO and calling it AEO. The two are not interchangeable.
Is AI-generated content penalised?
Google penalises unhelpful content, not AI content. The signal is E-E-A-T — clinical depth, named author, cited evidence, proper structure. Generic AI slop fails that test. Quality and architecture are what matter, not the tool.
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What Happens Next

Three things to do
in the next 24 hours.

Step 1
Does AI recommend you
or your competitor?
Patients are asking ChatGPT, Google AI, Perplexity and Claude for clinic recommendations. In 3 minutes, find out exactly where you stand.
QR code — free assessment
co-ki.info/dOTpQfL
In your free report:
–  Your visibility score across all four AI platforms
–  The competitors AI is recommending in your area instead of you
–  The patient searches you’re winning, and the ones you’re losing
Free. No sign-up. 3 minutes.
See your score →
Step 2
Access this full
presentation
All the data, frameworks, and research from today's session — yours to keep and revisit.
QR code — presentation
co-ki.info/f4FspmK
Open now →
Step 3
Book a live
clinic review
6 clinics per session. I look at your site live, show you your top priorities, and run a full demo.
🎥 Live demo included
I'll show you a fully personalised, AI-optimised article — written for a real clinician, with FAQs, schema, and E-E-A-T signals built in. You'll see exactly what good looks like.
QR code — book live review
co-ki.info/X3zYp4X
Book your spot →
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Co-Kinetic — Simplify Your Marketing. Save Time. Grow Your Practice.

Your patients are searching.
Make sure they find you.

Thank you for being here today. The window of first-mover advantage is still open. The clinics who act now will own their local AI visibility.

Run My Free Assessment →
co-kinetic.com  ·  Simplify Your Marketing. Save Time. Grow Your Practice.