The search landscape, now.
And how we keep Newmedica ahead of it, together.
A working session, not a presentation. Six short sections. Stop and talk wherever you like, and click on things together as we go. The middle sections are aimed at the local marketing managers in the room.
Search has fragmented.
A patient looking for cataract surgery in 2026 will likely touch five or six different surfaces before they book a consultation. Click each one to see what role it now plays in that journey.
There is no single page one anymore. There are five or six. Each one rewards slightly different things. The work is to win across all of them.
Four real eye-care searches, four different answers.
These are real searches run on each AI surface in May 2026. The queries differ because patients use each surface differently. AI Mode is a back-and-forth conversation. ChatGPT is a longer, more open-ended prompt. AI Overview is a quick one-line lookup. Click each tab to see what came back and where it pulled from.
What each AI surface actually returned
Click each tabWhere AI is pulling from.
Industry research in 2025 and 2026 has tracked over a billion AI search citations. The pattern is consistent across all four surfaces: AI responses are built from a mix of source types. Brand sites like Newmedica's play a real role, alongside community discussion, video, editorial coverage and encyclopedic sources.
Top source categories cited in AI search
Blended across all four surfaces · 2025-2026 dataReddit, Quora, Stack Exchange
YouTube
Forbes, BBC, Guardian
Wikipedia
G2, Yelp, Trustpilot
Real voices carry real weight
Reddit is the most-cited domain in AI search overall, ahead of YouTube, LinkedIn and Wikipedia. For an eye care brand, the practical translation is that genuine patient stories, honest reviews and real local press coverage shape AI's picture of what a clinic is like. Strong content on your own site does the same job from the other direction.
Search Engine Land (March 2026); Peec AI 30M source analysis (March 2026)
Brand sites still earn their share
Brand and business sites account for around 15% of AI citations, and the ones AI rewards are those with specific, useful detail: real pricing, named consultants, procedure information, location specifics. Newmedica's site is well-placed for this. The other 85% comes from sources Newmedica influences alongside its own content, through patient stories, local press and real reviews.
Profound 1B citation study (June 2025); Tinuiti Q1 2026 Report
Google rankings do not guarantee AI citations
Only 38% of pages cited in Google AI Overviews also rank in the top 10 organic results. Around 90% of ChatGPT citations come from pages ranked position 21 or lower. Being visible in AI is a different game from ranking in Google.
Ahrefs (March 2026); Radyant (March 2026)
- Profound · AI Platform Citation Patterns · One billion citations tracked across ChatGPT, Google AI Overviews and Perplexity, Aug 2024 to June 2025
- Semrush · The Most-Cited Domains in AI · 3-month study, July to October 2025
- Ahrefs · AI Overview Citation Analysis · 38% organic ranking overlap, March 2026
- SE Ranking · 70+ AI Search Stats for 2026 · December 2025
- Tinuiti · Q1 2026 AI Citation Trends Report · Quarterly citation share tracker
- Peec AI · Top cited domains analysis, 30M data points, March 2026
- Search Engine Land · AI citation analysis, March 2026
Six things the local team is closer to than we are.
For the local marketing managers in the room. Each one of these directly addresses the gaps we just saw in AI Overview and ChatGPT. Click any card to see what we'd ideally need and why it works.
What we would ideally need
- One or two patient stories per clinic per quarter
- The patient's first name and city
- The named consultant who treated them
- The specific procedure
- A quote from the patient about the experience
- A photo where the patient agrees (with the relevant consent form signed)
Why this helps AI
First-person verifiable experience is the single strongest signal AI systems look for in YMYL content like eye care. Pages with named patients, named consultants and specific outcomes get cited far more often than pages without.
What we would ideally need
- Annual surgery volumes per consultant (cataract, glaucoma, etc.)
- Sub-specialisms and areas of clinical interest
- Professional memberships and training history
- Languages spoken (matters more than people realise for local SEO)
- A short video introduction where consultants are open to it
- A current high-quality headshot
Why this helps AI
Look at the AI Overview example. The named surgeon (Mr Zaid Shalchi) got cited alongside competitor hospitals. The richer the consultant page (credentials, volumes, sub-specialisms, languages), the more often this happens.
What we would ideally need
- A heads-up when any clinic is featured in local press
- Existing relationships with local opticians, GPs, care homes, sports clubs
- Charity work and community partnerships, current or planned
- New equipment installations or service launches at a specific clinic
- Open days, talks, education events
- Any local awards or recognition
Why this helps AI
Look at the ChatGPT example. The sources aren't clinic websites, they're editorial mentions and named hospital entities. AI systems use external mentions as a confidence check. The more often a clinic gets mentioned in trusted local press, the more often AI will recommend it.
What we would ideally need
- The five questions reception fields most often
- What patients are anxious about, in their own words
- Questions that come up in pre-op assessments
- Questions patients ask in the post-op follow-up
- Even (especially) the awkward ones nobody wants to write FAQs for
Why this helps AI
AI search is built around answering questions. Pages that mirror the actual phrasing patients use become the source AI cites. We want our FAQ pages to read like a transcript of what happens in the clinic, not a marketing department's guess at what patients are wondering.
What we would ideally need
- A consistent prompt when asking for reviews ("if you can mention the consultant and what you had done, that helps others")
- Encouragement to write more than one sentence
- Reviews that mention the city or clinic specifically
- A small system for nudging happy patients to leave a review the same day
Why this helps AI
"Five stars, would recommend" tells AI nothing. "Mr Patel did my cataract surgery at the Norwich clinic in March, the whole team were brilliant" tells it everything. Detailed reviews give AI specific things to cite, and feed Trustpilot, Google and Doctify visibility at the same time.
What we would ideally need
- Specialist equipment or technology at a specific clinic
- Procedures only available at certain locations
- Languages spoken by reception staff
- Accessibility features (wheelchair access, hearing loops, sensory accommodations)
- Parking, public transport, drop-off arrangements
- NHS partnerships or referral routes specific to that clinic
- Anything that makes that clinic genuinely the right answer for a specific patient's circumstance
Why this helps AI
AI Mode is already pulling from the Birmingham clinic page because it has real detail (Aston Cross location, package pricing). Every clinic should be this rich. Specificity is what wins local AI searches.
Four questions to check the room.
No marks. Just a quick way to test that we're all looking at AI search the same way before we head into the discussion. Click an answer to see if it lands.
Four questions worth sitting with.
Click any card to flip it. There are no right answers. The point is to talk through them and let what comes out of the conversation shape what we work on next quarter.
Thanks for your time today.