BrandInsightAI Insights
Finance · a live data story

Life Insurance,
according to AI

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

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

The podium

Aviva is the default answer.

Named in 30% of life insurance answers, typically in position 2.4. Legal & General follows at 20%, Royal London at 18%.

Legal & General
20% of answers
Aviva
30% of answers
Royal London
18% 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
1Aviva 30% 2.4 26% 26%
2Legal & General 20% 2.6 21% 56%
3Royal London 18% 3.8 10% 67%
4Vitality 17% 3.8 16% 100%
5LV= 13% 3.3 2% 13%
6Zurich 12% 4.0 5% 67%
7Bupa 7% 1.5 3% 33%
8Scottish Widows 7% 3.3 2% 33%
9AXA 7% 4.3 0% —
10The Exeter 5% 2.3 2% 0%
11British Friendly 3% 4.5 0% —
12Cirencester Friendly 2% 6.0 0% —
13Post Office 0% — 10% 100%
14Shepherds Friendly 0% — 2% 100%
15SunLife 0% — 2% 0%
What AI wants here

Life Insurance is decided on affinity.

Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In life insurance, Zurich leads affinity at 110 against AXA at 93, indexed on the category at 100.

Affinity
Zurich110
AXA93
17-point spread · tracks being named -0.27
Attachment
Aviva104
Cirencester Friendly90
14-point spread · tracks being named 0.86
Attraction
Vitality105
Aviva95
10-point spread · tracks being named -0.14
Vitality: Attraction 105, Affinity 107, Attachment 103
Vitality
Credible, not first choice
Zurich: Attraction 105, Affinity 110, Attachment 96
Zurich
Noticed, not returned to
Royal London: Attraction 102, Affinity 98, Attachment 103
Royal London
Average on all three
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared. See the full life insurance desire edition →

What AI searched for first

Before it answers, it goes looking for Aviva.

An assistant does not answer from memory alone. It runs its own web searches first, and whoever it searches for is the shortlist it then chooses from. Across 81 searches in life insurance, Aviva is named in 50% of the ones that name a brand at all. ChatGPT Web, Copilot do not report their searches, so these shares are measured against the ones that do.

Aviva 50%
AXA 25%
Bupa 25%
Claude
Searches per question1.6
Names a brand4%
Names a year21%
Goes to a site0%
Gemini
Searches per question1.9
Names a brand0%
Names a year3%
Goes to a site0%
ChatGPT
Searches per question1.1
Names a brand5%
Names a year24%
Goes to a site76%
UK insurers serious illness mental health support services critical illness insurance wellbeing counselling official
ChatGPT
site:moneyhelper.org.uk life insurance medical condition tell insurer diagnosis existing policy UK
ChatGPT
UK life insurance claims payout rates 2025 2026 insurer individual protection statistics
ChatGPT
life insurance claim payout rates UK comparison Association of British Insurers
Gemini

These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.

Who AI trusts here

The referees of life insurance.

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

moneyhelper.org.uk 27 cites
wecovr.com 17 cites
reassured.co.uk 15 cites
simpleprotection.co.uk 10 cites
fca.org.uk 9 cites
goingprivateuk.co.uk 9 cites
gov.uk 9 cites
drewberryinsurance.co.uk 8 cites
abi.org.uk 7 cites
iaminsured.co.uk 6 cites
Read is not cited

Vitality converts reads into citations. LV= doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Vitality converts 100% of reads; LV= just 13%. That gap is a content problem, not a visibility problem.

Vitality · read 3×100%
Royal London · read 6×67%
Zurich · read 3×67%
Legal & General · read 9×56%
Bupa · read 6×33%
Scottish Widows · read 3×33%
Aviva · read 23×26%
LV= · read 8×13%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Aviva30%2.426%26%
2Legal & General20%2.621%56%
3Royal London18%3.810%67%
4Vitality17%3.816%100%
5LV=13%3.32%13%
6Zurich12%4.05%67%
7Bupa7%1.53%33%
8Scottish Widows7%3.32%33%
9AXA7%4.30%—
10The Exeter5%2.32%0%
11British Friendly3%4.50%—
12Cirencester Friendly2%6.00%—
13Post Office0%—10%100%
14Shepherds Friendly0%—2%100%
15SunLife0%—2%0%
Which AI you ask

All three models agree: Aviva.

A rare consensus — every model puts Aviva first, and their top-five lists overlap 67%. Winning here means winning everywhere at once.

Claude recommends
Aviva
named in 20% of its answers
Gemini recommends
Aviva
named in 45% of its answers
ChatGPT recommends
Aviva
named in 25% of its answers

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

Aviva 25pp
Legal & General 25pp
Vitality 15pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Aviva20%45%25%25pp
Legal & General10%35%15%25pp
Vitality10%25%15%15pp
LV=15%15%10%5pp
Royal London15%20%20%5pp
Zurich10%15%10%5pp
Scottish Widows10%5%5%5pp
AXA5%10%5%5pp
British Friendly5%0%5%5pp
Bupa5%10%5%5pp
What AI reads here

Editorial carry life insurance.

Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; Comparisons convert best — 100% of the ones models opened were actually cited.

Editorial
86 cited · 9 read only
91% of reads cited
How-to guides
39 cited · 5 read only
89% of reads cited
Product pages
28 cited · 3 read only
90% of reads cited
Comparisons
20 cited · 0 read only
100% of reads cited
News
8 cited · 2 read only
80% of reads cited
Other
6 cited · 8 read only
43% of reads cited
Documentation
6 cited · 9 read only
40% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
Editorial86991%
How-to guides39589%
Product pages28390%
Comparisons200100%
News8280%
Other6843%
Documentation6940%
What gets cited

Structured data is what separates cited from ignored.

Of the life insurance pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 26 percentage points; hard statistics pages fare 2pp worse. Measured within the read population, so selection can't flatter it.

Structured data +26pp
Comparison table +12pp
Answer up front +7pp
Named author +5pp
Updated this year +0pp
Hard statistics -2pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Structured data22688%4961%+26pp
Comparison table9591%18079%+12pp
Answer up front17185%10479%+7pp
Named author12786%14880%+5pp
Updated this year11283%16383%+0pp
Hard statistics10881%16784%-2pp
Citation readiness

Shepherds Friendly builds pages AI can quote.

Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Royal London is the widest gap: well-built pages that still aren't converting into citations.

BrandReadinessPages citedPages profiled
Shepherds Friendly 55 25% 8
Post Office 47 60% 15
Scottish Widows 38 20% 5
Royal London 36 4% 117
Vitality 35 7% 118
Guardian 31 0% 4
Zurich 28 2% 132
Aegon 28 0% 23
LV= 25 5% 39
Aviva 24 11% 131

Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.

What the answers answer

The questions life insurance pages have to settle.

Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.

What is critical illness cover?
What is whole of life insurance?
What is decreasing term life insurance?
What is mortgage life insurance?
What is income protection insurance?
What is over 50s life insurance?
What is life insurance?
What is level term life insurance?
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 Wed, 07 Oct 2026 07:11:35 GMT.

scroll ↓