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Health · a live data story

Private Healthcare,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about private healthcare — and record exactly which brands they put forward. Right now, Bupa owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

Bupa is the default answer.

Named in 22% of private healthcare answers, typically in position 2.1. Spire Healthcare follows at 18%, BMI Healthcare at 12%.

Spire Healthcare
18% of answers
Bupa
22% of answers
BMI Healthcare
12% of answers
The full board

Every brand AI names, ranked.

Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.

#BrandVisibilityAvg. positionCitation shareRead→cited
1Bupa 22% 2.1 9% 0%
2Spire Healthcare 18% 2.3 0%
3BMI Healthcare 12% 1.7 5% 33%
4Circle Health Group 12% 1.7 0%
5Nuffield Health 12% 2.7 4%
6HCA Healthcare 12% 3.3 9% 67%
7HCA International 12% 3.3 0%
8Practice Plus Group 7% 3.3 4% 40%
9RAMSAY HEALTH CARE 7% 3.8 1% 0%
10King Edward VII's Hospital 2% 2.0 0% 0%
11New Victoria Hospital 2% 2.0 1% 100%
12Benenden Hospital 2% 7.0 1%
13Barts Health Private Care 0% 59% 17%
14Cleveland Clinic London 0% 1% 100%
15Royal Marsden Private Care 0% 0%
Who AI trusts here

The referees of private healthcare.

The independent sources AI models cite when answering private healthcare questions — the places a brand needs to be seen, reviewed and ranked.

google.com 36 cites
goingprivateuk.co.uk 17 cites
cqc.org.uk 9 cites
phin.org.uk 9 cites
wecovr.com 9 cites
axahealth.co.uk 3 cites
bma.org.uk 3 cites
comparemyhealthinsurance.co.uk 3 cites
moneysavingexpert.com 3 cites
which.co.uk 3 cites
Read is not cited

HCA Healthcare converts reads into citations. Bupa doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? HCA Healthcare converts 67% of reads; Bupa just 0%. That gap is a content problem, not a visibility problem.

HCA Healthcare · read 3×67%
Practice Plus Group · read 5×40%
BMI Healthcare · read 3×33%
Barts Health Private Care · read 191×17%
Bupa · read 5×0%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Bupa22%2.19%0%
2Spire Healthcare18%2.30%
3BMI Healthcare12%1.75%33%
4Circle Health Group12%1.70%
5Nuffield Health12%2.74%
6HCA Healthcare12%3.39%67%
7HCA International12%3.30%
8Practice Plus Group7%3.34%40%
9RAMSAY HEALTH CARE7%3.81%0%
10King Edward VII's Hospital2%2.00%0%
11New Victoria Hospital2%2.01%100%
12Benenden Hospital2%7.01%
13Barts Health Private Care0%59%17%
14Cleveland Clinic London0%1%100%
15Royal Marsden Private Care0%0%
Which AI you ask

Three models. Three different answers.

Ask about private healthcare and the brand you are shown depends on the assistant: Claude → Spire Healthcare, Gemini → Bupa, ChatGPT → Circle Health Group. Their top-five lists share just 25% of names.

Claude recommends
Spire Healthcare
named in 15% of its answers
Gemini recommends
Bupa
named in 45% of its answers
ChatGPT recommends
Circle Health Group
named in 10% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

Bupa 40pp
HCA Healthcare 25pp
HCA International 25pp
Spire Healthcare 20pp
BMI Healthcare 15pp
Circle Health Group 15pp
Nuffield Health 15pp
RAMSAY HEALTH CARE 15pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Bupa15%45%5%40pp
HCA Healthcare10%25%0%25pp
HCA International10%25%0%25pp
Spire Healthcare15%30%10%20pp
BMI Healthcare5%20%10%15pp
Circle Health Group5%20%10%15pp
Nuffield Health5%20%10%15pp
RAMSAY HEALTH CARE0%15%5%15pp
Practice Plus Group0%10%10%10pp
King Edward VII's Hospital5%0%0%5pp
Keep exploring

Nineteen more categories.

Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Tue, 01 Sep 2026 13:27:16 GMT.

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